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11 essentials devops metrics to boost productivity
The technology landscape is always evolving, whether it is through new infrastructure, or a new CO tool coming out to help you manage your fleet better
—Mike Kail
How does DevOps work?
DevOps is one of the most important concepts in modern software development. It's a collaboration method that encourages communication and cooperation between developers, operations staff, and testers. DevOps helps to speed up the process of creating and deploying software by automating many of the manual tasks while enhancing the problem-solving aspect all on its own. Cloud computing being centralized offers standard strategies for deployment, testing, and dynamic integration of the produced collaboration. It’s a survival skill of adapting according to the ever-changing and demanding market requirements.TIP
DevOps helps you manage things effectively so that teams can spend more time on research, development, and betterment of the product.
Here are 11 essential DevOps metrics to increase productivity in organizations:
Frequency of deployment
It is vital to promote and sustain an ambitious edge by providing updates, new functions, and enhancements to the product's quality and technological efficiency. Increased delivery intensity enables greater adaptability and compliance with changing client obligations. The objective should be to enable smaller deployments as frequently as possible. Software testing and deployment are significantly more comfortable with smaller deployments.TIP
Organizations can use platforms such as Jenkins to automate the deployment sequence from staging to production. Continuous deployment ensures that the code is automatically sent to the production environment after passing all of the test cases in the QA environment.
Time required for deployment
This indicator indicates how long it will take to accomplish a deployment. While deployment time may look trivial at first glance, it is one of the DevOps indicators that indicates possible difficulties. If deployment takes hours, for example, there must be an issue. As a result, concentrating on smaller but more regular deployments is beneficial.Size of the deployment
This measure is used to monitor the number of feature requests, and bug patches sent to production. The number of individual task items varies significantly depending on their size. Additionally, you can keep track of the number of milestones and other parameters for deploymentEnhance Customer satisfaction
A positive customer experience is important to the longevity of a product. Increased sales volumes are the outcome of happy customers and excellent customer service. As a result, customer tickets represent customer satisfaction, which then reflects the DevOps process quality. The fewer the numbers, the higher the quality of service.Minimize defect escape rate
Are you aware of the number of software defects detected in production versus QA? To ship code rapidly, you must have confidence in your ability to spot software defects before they reach production. Your defect escape rate is a good DevOps statistic for monitoring the frequency with which those defects make their way into production.Understanding cost breakups
While the cloud is an excellent approach to reducing infrastructure expenses, certain unplanned failures and incidents can be rather costly. As a result, you should prioritize collecting and decreasing unnecessary costs. DevOps plays a major role here. Understanding your spending sources might assist you in determining which behaviors are the most expensive.Reduce frequent deployment failures
We hope this never occurs, but how frequently do your releases result in outages or other severe issues for your users? While you never want to undo a failed deployment, you should always plan for the possibility. If you are experiencing troubles with failed deployments, monitor this indicator over time.Time required for detection
While minimizing or even eliminating failed changes is the optimal strategy, recognizing errors as they occur is crucial. The time required to discover the fault will affect the appropriateness of existing response actions. Protracted detection times may impose limits on the entire operation. Establishing effective application monitoring enables a more complete picture of "detection time."Error Levels
It is vital to monitor the application's error rate. They serve as a measure not only of quality difficulties but also of continuing efficiency and uptime issues. For excellent software to exist, the best methods for handling exceptions are necessary.TIP
Track down and record new exceptions thrown in your code that occur as a result of a deployment.
Application Utilization & Traffic
You may wish to verify that the quantity of transactions or users logging into your system seems to be normal post-deployment. If there is a sudden lack of traffic or a big increase in traffic, something may be amiss. Numerous monitoring technologies are available to provide this data.Performance of the application
Before launching, check for performance concerns, unknown defects, and other issues. Additionally, you should see changes in the overall output of the program both during and after deployment. To detect changes in the usage of particular queries, web server operations, and other requirements following a release utilize monitoring tools that accurately reflect the changes.Case Studies
Prometheus vs Influxdb : Monitoring Tool Comparison
What exactly is Prometheus?
Prometheus is a time-series database and monitoring tool that is open source. Prometheus gives its users sophisticated query language, storage, and visualization tools. It also includes a number of client libraries for easy interaction. Furthermore, Prometheus may be combined with a wide range of other systems (for example, Docker, StatsD, MySQL, Consul, etc.)TIP
Prometheus can be great for monitoring as long as the environment does not exceed 1000 nodes. Prometheus + Grafana = best ecosystem
What is InfluxDB?
InfluxDB is what it sounds like. It is the name of the open-source time-series database developed by InfluxData. It is frequently used to monitor applications, infrastructure, and the Internet of Things, as well as for data analysis. TICK-stack is InfluxDB's own ecosystem, made up of four components: Telegraf, InfluxDB, Chronograf, and Kapacitor. InfluxDB is the foundation of this stack. While Telegraf collects data, Kapacitor provides resources for real-time data processing, and Chronograf is the mechanism for displaying and interacting with the other components of the stack, its primary aim is to store data.TIP
When it comes to storing monitoring metrics, InfluxDB excels (e.g. performance data). If you need to store different sorts of data, InfluxDB is not the best option (like plain text, data relations, etc.)
Let us look at the key differences between the two.
Features | Prometheus | InfluxDB |
---|---|---|
Data Gathering | The system InfluxDB is based on is a push-based system. It requires an application to push data into InfluxDB on a regular basis. | Prometheus is a system that operates on the principle of pull. The metrics are published by an application at a certain endpoint and Prometheus retrieves them on a regular basis. |
Storage | InfluxDB is significantly more ideal for event logging. | Prometheus is primarily centered on metrics tracking. |
Extensibility and Plug-ins | While InfluxDB has a lot of integrations, it doesn't possess as many as Prometheus. | Prometheus' key benefit is its widespread community support, which stems from its CNCF-accredited project status. Many apps, particularly cloud-native applications, already support Prometheus. |
Case Studies | While InfluxDB can support monitoring, it is not as well known as Prometheus for this purpose. As a result, you may have to develop your own integrations. If you want to do more than a mere monitoring tool, InfluxDB is a fantastic solution for storing time-series data, such as data from sensor networks or data used in real-time analytics. | Prometheus was designed for monitoring, specifically distributed, cloud-native monitoring. It shines in this category, with several beneficial integrations with current products. |
Query language | InfluxDB has its own query language known as InfluxQL. It is extremely similar to regular SQL. InfluxQL can be simpler for those who have already worked with SQL. | Prometheus has a querying functional language called PromQL. PromQL is actually incredibly simple and powerful. It was created primarily for monitoring, alerting, and graphing. It is less verbose than InfluxQL and offers a variety of useful functions |
Community | InfluxDB, despite its popularity, needs to improve on community support in comparison to Prometheus. | Prometheus is an open-source project with a huge community of users that can rapidly resolve your queries. Having a big network of support is an added benefit since there is a high probability that the challenges one is having might previously have been encountered by someone in the community. |
Scaling | Since the commercial section of Influx DB is distributed, there will be many interconnected nodes. As a result, as the server scales up, we don't have to worry about scaling nodes. Thus, Influxdb nodes might be considered redundant while handling complicated loads. | When the load rises, the monitoring Prometheus servers require scaling as well. This is due to the fact that the Prometheus server is independent. Thus, the Prometheus server works great for the simpler load. |
TIP
When it comes to storing monitoring metrics, InfluxDB excels (e.g. performance data). When compared to Prometheus, InfluxDB employs a monolithic data storage method and consumes more disk space. It's best used for logging events.
Conclusion
If you're deciding between Prometheus and Influxdb for time series data monitoring, you can consider the features discussed in this article and select which one to employ based on your needs. When it comes to monitoring services for time series data, both platforms are highly popular among businesses. While Prometheus and InfluxDB are fairly identical technologies, their key distinction is that they support different use cases. Prometheus includes a number of capabilities that make it an excellent tool for monitoring metrics, visualizing, and alerting. InfluxDB works great as an event logging database. Prometheus is a better option because it offers more integrations and functionality. However, Influxdb is a better option if you're looking for something particular for IoT, sensors, and other analytics.Relevant links:
https://prometheus.io/https://github.com/influxdata/influxdbhttps://v2.docs.influxdata.com/v2.0/https://www.influxdata.com/blog/multiple-data-center-replication-influxdb/https://logz.io/blog/prometheus-monitoring/Agile Delivery Process
10decoders has a very strong focus on process. We help our clients to capture the requirements in clear process flows and screen design. Understand how our process driven culture helps customer to grow their business
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8 Proven Ways to Reduce Your AWS EC2 Costs
Here are 8 Proven Ways to reduce your EC2 costs:
Decide on EC2, ECS , Fargate Or Serverless Archictecture
Instances that can fulfill your applications' and workloads' needs. You can do this by evaluating your computing demands. Memory, network, SSD storage, CPU architecture, and CPU count are all factors to consider. Once you have this information, you should seek an instance that offers the greatest performance for the amount you are willing to pay. It is not hard to discover low-cost cloud instances based on your requirements. We can use serverless architecture if the REST service or deployment does not rely on the existence of running machines and can be an event driven architecture. We can also set up ECS or Fargate machines with the right size, memory, and storage to scale up or down depending on your needs.TIP
You can save licensing cost with predefined or bulk license management.
Leverage reserved instances
Reserved Instances are a way to buy EC2 machines for a long term and reduce overall pricing through an agreed discount. Since a reserved instance is a pre-paid model, Amazon offers a 75 percent drop on the hourly pricing per instance. As a result, the entry-level instance will cost less. The availability of the reserved instance model is likewise higher than that of the on-demand instance. Why? In a nutshell, it's because it's prepaid. As a result, it is pre-booked, allowing Amazon to schedule the time required. Finally, users can sign up for a one-year or three-year commitment to use the EC2 reserved instance.Leverage GPU Instances
CPUs and GPUs have a significant impact on both cost and performance. You should decide which kind is most suited to your needs. If you want to execute machine learning tasks on the cloud, for example, you should utilize modern GPU instances such as the G3 or P3 series. Even while GPUs have a greater cost per hour, GPU instances may greatly expedite training time and yield cost savings (as compared to CPUs).Spot Instances for stateless and non-production workloads
Spot instances can save a lot of money for stateless and non-production workloads. You can save up to 90% off the on-demand pricing and lower your EC2 expenses. It should be emphasized that Spot Instances are subject to change and that they might be taken before the instance is utilized.Leverage Tags & Setup Availability times
Understanding the NFR Non functional requirements of a business can help determine the hours our EC2 machines need to run. This way we can set up startup and shutdown times for the machine and avoid unwanted running cost and downtime for the machines. You can save money on EC2 by prioritizing some EC2 instances over others. You may, for example, restrict your search to just production, non-production, and other instances. Tags can be used to find and optimize instances using the AWS dashboard and the AWS API. Tags may also be used for compliance and security.Auto-Scaling
The AWS Auto Scaling mechanism guarantees that the right number of Amazon EC2 instances are operating to manage the demand of a certain application. Auto Scaling modifies compute performance dynamically depending on a specified agenda or the current load measurements, raising or lowering the number of instances as required. You can utilize a range of scaling options provided by Amazon to adjust capacity to real demands. You can easily save money and prevent waste by dynamically scaling down capacity. Configure Auto Scaling with precision to maximize cost savings. You can over-provision capacity if you use Auto Scaling for applications that are too big or include too many instances.EC2 Instances of appropriate size
Right-sizing is adopting an EC2 instance type that is a suitable match for your application or workloads to prevent underutilized resources. To identify the kind of instance necessary, evaluate the number of CPU and memory resources utilized by a certain application. After that, you can choose the instance type and number of instances that are most suited to your needs. You can also get the most out of your reserved instance purchases if you size wisely. You can save even more money by subscribing to a certain term and obtaining reserved instances once you've chosen the best configuration for your instance. However, it may be difficult to determine the right size when dealing with unpredictable workloads, and reserved instances are often wasted.Orphaned Snapshots should be detected and eliminated
As per standard rules, any associated EBS volumes are automatically erased when an EC2 instance is terminated. Any snapshots that are still on S3 and are billing. These expenses might be more than you anticipate. Most backups are incremental, while the first snapshot captures the whole drive. Additionally, over time, incremental snapshots may need more data storage than the first one. Despite the fact that S3 is less costly than EBS volumes, you'll need a strategy for deleting EBS volume snapshots when an EBS volume is destroyed. Over time, this might result in considerable storage cost savings.TIP
Always plan to set up budgets and consume resources within the budget. Custom alerts can also help us realize if we used 50%, 75% or 90% of our limit
Conclusion
The Amazon EC2 service is a great way to get some computing power without having to manage a server. However, you can't leave an instance running all day and night without paying for it. After all, it's not free! Common issues that occur with EC2 costs - Underutilized and idle EC2 Instances, tracking reserved Instances with unused hours, Migration of EC2 Instances from a previous generation. Oversizing and inefficiency of the system bring their own set of challenges.In conclusion, there are many ways to reduce your EC2 costs. By following the tips in this article, you can resolve the above challenges, save money and improve your efficiency. The cost of an EC2 instance is based on the instance configuration associated with data processing needs. Successfully minimizing EC2 expenses is totally reliant on the balance between the cloud computing needs to process corporate data and the quantity of the data that is being processed. Get in touch with us to lower your EC2 costs. With our expertise, you will be able to make the right choice for your tools.Helpful links
https://segment.com/blog/spotting-a-million-dollars-in-your-aws-account/https://cloudcheckr.com/cloud-cost-management/aws-cost-issues-quick-fix/https://www.apptio.com/blog/decoding-your-hidden-aws-ec2-costs/Case Studies
Top 5 Java Development companies in Chennai
1. Hakuna Matata Tech Solutions
Hakuna Matata Tech solution develops applications by using latest digital technologies to come-up with Client specific solutions which can transform enterprises from their traditional processes impacting their efficiency and productivity to have a rapid growthEmployees Review
- “Good place to start working”
- “Excellent work culture and platform for learning”
- “Good place to learn and grow”
- Media
- Healthcare
- Manufacturing
- Retail
- Construction
2. Siam Computing
Siam computing is one of the top software development companies in Chennai. They have professional services for developing and improving software solutions. The developers make sure that they effectively use the latest technology and the latest digital strategies and technology are integratedEmployees Review
- “One of the best companies I have worked for”
- “Best Place to develop your skills”
- “Web development – The best place to develop your skills”
Industries From Where Their Clients Belong
- Real Estate
- Marketing and Advertising
- Education
- Information Technology
- Financial & Payments
3. 10Decoders Consultancy Services Private Limited
10decoders is a cloud engineering company with solid experience architecting and building highly scalable and highly available systems on the cloud. 10decoders helps startups and businesses to scale their remote teams with the right people10decoders has a vast client base and experience working on silicon valley startups, healthcare giants & Fin-tech companies in the USA & Canada. 10decoders specialize in AgriTech and RegulatoryTech product implementations alsoStarted as a small company with 5 members in 2015, 10decoders has grown into a team of 80 members with capabilities across web, mobile, and cloud engineeringEmployees Review
- “Great place to explore, challenge and strengthen your skills. An actively growing company, you'd love to be a part of!”
- “There are so many great things about working at 10Decoders. It provides great opportunities to develop my technical skills. An overall, work is good in its way, the client and co-workers are well supported. Excellent place to start your career with. Has multiple domains to gain knowledge on”
- “Friendly Staff and Friendly co-workers, best work to improve ourselves and learn new technologies”
Technologies we Work On
Front End: React.js, Angular Back End: Java, Python, Node.js Framework: Django, Flask, FastAPI, Spring / Spring Boot, Express Database: MongoDB, DynamoDB, MySQL, MS SQL Infrastructure: Azure, AWS, Google Cloud, Digital OceanIndustries From Where Our Clients Belong
- FinTech
- Healthcare & MedTech
- Agriculture
4. Zencode Technologies
Zencode offers a wide range of business solutions to its customers. From mobile application development to artificial intelligence and data analytics, they cover everything. Their main aim is to provide top-notch services to the customers to fulfill their varying business needs. Over the years, they have offered out customized business solutions to a huge number of industries which include Finance, Engineering, E-commerce, Logistics, and HealthcareEmployees Review
- “Working in Zencode will build your confidence as you are encouraged at every step in your work”
- “Good work culture and environment. The company is striving towards innovation and latest technology, providing opportunities for employees to learn and grow professionally”
Industries From Where Their Clients Belong
- Hospitality & Leisure
- Business Services
- Financial Services
5. Agriya
Agriya is a software development company with more than 150 employees spread across two development centers in India. Their head office is located in Chennai. Agirya is listed in top 10 software companies in Chennai due its top-quality work. The company was established in 2000Employees Review
- “Peaceful environment to work”
- “Perfect company to kick-start your career”
- “Great concern to learn and work with new technologies”
Industries From Where Their Clients Belong
- Information Technology
- Art, Entertainment & Music
- Business Services
- Advertising & Marketing
- Retail
Technologies
Why and when choose custom Software development?
Introduction
Custom software development is the process of designing, developing, deploying, and maintaining software for a certain set of Users or a specific Organization. Any software will meet the generalized need of the end-users.The existing software may not address all the needs of the Organization. In such a case they move in for customization of the existing software. Customized solutions are developed to meet the needs of the UserOverview of market share
Custom Software Development Services Market is huge and is growing at a moderate speed with substantial growth rates over the last few years and is estimated that the market will grow significantly in the next few years.The Custom Software Development Services Market is driven by the growing requirements for customized software among Organizations. Moreover, organizations are always looking for reducing long-term costs. Custom software development is becoming popular among organizations that are largely looking for scaling up of their business operations.A holistic evaluation report of the market is provided by the Global custom software development services market.The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.How custom software development process Works
The process followed in custom software development is same as SDLC. It starts with Planning and Analysis followed by Design, Development, Testing, and finally maintenance of the completed product. The main goal of planning and analysis is to collect as much data as possible. The design transforms the requirements into a detailed system design requirements document. It is like a blueprint for the solution which is used for developing the code. Developing code is the actual implementation phase, which is followed by rigorous testing. Testing is done until all issues are identified and resolved. Finally, the product is deployed into the live environment. And the product gets into the maintenance phase.Reason to choose custom software development
Generally, developing an application from scratch is a complex and time-consuming process. If there is not much time and a solution needs to be implemented as quickly as possible, then custom software development would be a better choice. The next factor to be considered is software development cost. Ready-to-use applications can save the budget if they provide the desired functions and match the standard requirements and do not need any customization. In case the ready-to-use application can’t meet the demands of all kinds and the development team needs to handle complex processes and comply with high security and industry regulations then a custom software development process would be the best option.What are the Benefits of the Custom Software development process
Some of the benefits of the custom software development processUniqueness
One of the important benefits of custom applications is uniqueness. Tailored solutions are built to fit the user’s specifications. A development team experienced in custom software development help to deliver a solution that will include the features requested.Flexibility & Scalability
Regular software cannot be manipulated and it will remain constant. It will become unsuitable to keep using it. But custom software can be scaled according to the needs of the company and easily integrated with business. So the user need not change according to the application but the application can be changed according to the user.Cost effectiveness
Readily available software might be less expensive but it might have some recurring costs which will make it less beneficial. They might also lack some critical functionality. In such cases developing a product from scratch might cost more. When existing software is customized, a huge sum of money need not be invested.Security
While customizing or developing software, the important feature that needs to be handled is security When an organization needs to support expensive security protocols, it might be an add-on cost to them. But with customized software, they can decide about the security technology to be used and choose one which is ideal for their business.Team Capabilities
Team experience and technical skills A software team with strong technical skills, in-depth knowledge of the latest technologies, and experience with multiple companies need to be considered for customizing software.Cost Structure
When a third party is hired for customizing software, it should be ensured that they give a clear picture of all the costs involved and do not keep the costs hidden.Communication Skills
The custom software development team should be strong in communication skills. Their strong communication skills will help them to understand the details of the unique requirements needed by the client. When they have a clear understanding, they can carefully design and develop software with accuracy.Why choose 10Decoders for custom software development?
- 10Decoders team has worked on customizing multiple types of applications for many clients.
- We have also tried and tested various methodologies for successful completion.
- Also, we work with highly secured and safe systems. So your data will be protected in our hands.
- Depending on the complexity of Customization our charges are reasonable. And we do not have any hidden costs.
- We have Engineers who are highly skilled in multiple technologies, who can readily work on customizing your needs.
Technologies
Voice Enabled Banking and Chatbots with Dialogflow
Introduction
Banking chatbots generate better results and superior customer experiences for the banking industry and other financial institutions. They help the customers in multiple ways like getting account balances, to apply for loan or credit card, transfer funds, pay bills, or to update the profile details. Regular customer interactions can be automated partially or fully using a banking chatbot which is available 24/7. A voice enabledWhat is Chatbot?
chatbot is a variation of a conversational AI solution. It leverages NLP combined with speech-to-text(self-developed or already existing platforms) and automates speech recognition to deliver resolution immediately. Voice Assistants can either be a complete voice-based model or as a multimodal chatbot supporting both text and voiceWhat is Dialogflow?
Dialogflow is a natural language understanding platform used to design and integrate a conversational user interface into mobile apps, web applications, devices, bots, interactive voice response systems, and related usesOverview of Market Share
The global chatbot market size was estimated at USD 430.9 million in 2020. The growth is expected to be driven by the increasing adoption of customer service activities among enterprises to reduce operating costs. A chatbot is an interactive application developed using either a set of rules or artificial intelligence technology. A chatbot is basically developed using AI technology or a set of rules. It is designed in such a way that it can interact with humans through text. To assists users in various sectors, it is integrated with other messaging services. Various innovative ideas are implemented in Machine Learning (ML) and Artificial Intelligence (AI) technologies which will enhance the features of chatbots, which, in turn, will create greater demand for chatbots.Since businesses are looking for ways to automate their sales and other services Chatbots are becoming popular. This helps the organizations to stick to the schedule at reduced cost.How do Chatbots work?
- 1A user sends a text/voice message to a device or an App
- The App/Device transfers the message to Dialogflow( via detecting API )
- The message is categorized and matched to a corresponding intent (Intents are defined manually by developers in Dialogflow)
- We define the following actions for each intent in the fulfillment (Webhook)
- When a certain intent is found by Dialogflow, the webhook will use external APIs to find a response in external databases
- The external databases send back the required information to the webhook
- Webhook sends a formatted response to the intent
- Intent generates actionable data according to different channels
- The actionable data go to output Apps/Devices
- The user gets a text/image/voice response
How to build your first Chatbots?
Agent: An agent is merely another term used to refer to the chatbot. While using Dialogflow, you will find that many people start off by asking you to ‘name the agent.’ This just means giving your chatbot a name, so even in this context, it's one and the sameIntent – ‘Intents’ are how a chatbot understands ExpressionsResponses: This is the chatbot’s output that is aimed at satisfying the user’s intentEntities: ‘Entities’ are Dialogflow’s mechanism. It helps to identify and extract useful data from the natural language inputs given by user. Actions & Parameters are also Dialogflow mechanismsActions & Parameters These too, are Dialogflow mechanisms. They serve as a method to identify/annotate the keywords/values in the training phrases by connecting them with EntitiesWe will see how to create a chatbot in Dialogflow using the followingStep1: Login with DialogFlow Account
- Go to https://dialogflow.cloud.google.com
- Click ‘Go to console’ in the top right corner
- Login with a Gmail account
Step2: Create a new Agent
- Start off by clicking ‘Create Agent’ in the column menu to your left
- Give your Bot a name! We’re going to call ours a ‘Testing’
- Be sure to select your time zone and language as required
- Click ‘Create’
Step3: Create a new Intent
- Click “Intent” on the left side
- Add the Intent Name and Training Phrases
- If you have already created Entity, Please mark the entity for the corresponding questions. Here I have created one entity as “Cheque” and marked that keyword to that training phrase
- After that, we need to add the response in the Intent
- Click “Save” in Intent
Step4: Check Question
We are able to check the questions on the right side of the top corner and it will give the intent name, Entity name and answer alsoBest features
Some best features are given below- Self Service Customer Support Self Service via a voice bot is more scalable and customer-centric. Giving your customers a voice bot as the first mode of communication can help them resolve their queries faster and for major queries, the AI-enabled voice bot can transfer the call or the message to the right agent
- Zero Wait Time Calling any customer support center can be a nightmare for most people, basically, because of the wait time and redirections. Enabling FAQs on automating general queries on IVR, Alexa or Google Assistant can save a lot of time and the agent can take over or the call can be transferred to the agent only for critical issues
- 24/7 Availability Humans require rest, but machines do not. Even if your agent is not available, the voice bots can resolve the queries for your customers and take their details in case of urgent queries. And your agent can contact them at their earliest convenience
- Break from Monotonous Texts Provide a multimodal Intelligent Virtual assistant supporting both chat and voice, rather than just a text-based chatbot. Just a text-based chatbot requires a lot of patience, and time from the user’s end. And also sometimes it becomes difficult to understand voiceless messages as it lacks sentiments. AI-enabled voice bot is highly automated, intelligent, and customer-friendly; making it a need of the hour for brand-customer engagement platforms
- No human contact Pandemic made it really clear the need for an automated customer support system, as most customer support offices were closed down. Many businesses and banking institutions were seen adopting IVR support for resolving customer queries like Kotak, ICICI, etc
- Save Cost An automated AI-enabled voice bot increases your team’s productivity, by taking care of all repetitive queries. Your team can just focus on critical queries, thus saving a lot of time and money for your business
- Increased Productivity Using voice bots, your customers can handle multiple tasks simultaneously, and in one call. Customers can schedule appointments, organize and modify meetings, check balance, do transactions, get account details, set reminders, etc
Tech Stack and Team Capabilities
A company can use Dialogflow to create messaging bots that respond to customer queries in platforms like Alexa Voice Services (AVS), Google Assistant, Facebook Messenger, Slack, Twitter, Skype, Twilio, Telegram, and several other messaging integrations. Dialogflow can be integrated into WhatsApp, tooOther chatbot platforms
- Google Dialogflow
- Amazon Lex
- IBM Watson Assistant
- Facebook’s Wit.ai
- Microsoft Azure Bot Service
Programming Language support
Dialogflow supports the following programming languages c#, Go, Java, Node.js, PHP, Python, and Ruby Choosing NodeJS is clearly a straightforward choice because NodeJS is asynchronousPlatform case study with a link
You can browse the sample code about Dialogflow integration from Google at GitHub with the links belowLanguage | Links |
---|---|
C# | GoogleCloudPlatform/dotnet-docs-samples/ |
Go | GoogleCloudPlatform/golang-samples |
Java | googleapis/java-dialogflow |
Node.js | googleapis/nodejs-dialogflow |
PHP | GoogleCloudPlatform/php-docs-samples |
Python | googleapis/python-dialogflow |
Ruby | googleapis/google-cloud-ruby |
Success Stories
Success Stories
How to work with offshore teams and manage remote offshore teams successfully?
Introduction
Working with offshore teams is a common practice in the IT industry. Web and mobile app development are among the most common tasks that are outsourced to offshore development teams. Outsourcing to an offshore team allows you to hire expert professionals for a fraction of the price that you would have to pay if you would hire full-time in-house employees. Along with salary of the employee, other expenses like health insurance, insurance contribution, and bonuses can also be saved. You are not required to spend money on office space, IT infrastructure, and utilities such as electricity. Moreover, a business can easily decrease or increase the size of the team according to its requirements. Thus, businesses enjoy both flexibility and scalability by outsourcing their projects to offshore teamsOverview of Offshore Teams
An offshore team usually implies a certain number of specialists who work for you remotely. They can be located at any place and the communication is done through phone calls, messengers like slack or video calls through zoom, meet. Hiring remote developers can be of great help financially. It helps to save cost. Such practice was usually associated with small companies that had a lack of financing. However, today the situation is different and even huge companies turn offshore as it has a number of undeniable benefitsHere are 5 reasons why businesses hire offshore teams:
- Controlled Costs
- Drastically Improved Efficiency
- Focus on Overlooked Areas
- Access to a Global Talent
- Flexibility
Handling the Common Challenges in Offshore Team Management
Here are the most common challenges that clients come across while handing their offshore teamsCommunication Challenges
There are two things that can make or break the whole project: time-zone difference and language skills of an offshore vendor. The time zone difference creates difficulty in communicating with an outsourced team. So the calls are postponed which in turn lowers productivity and causes delay in project deliveryHow to overcome the challenge - There might be few hours overlap in time zone. This overlap can be used effectively for various activities like feedback, checking project progress and for communicating with the remote team When all the expectations are set up front, it becomes much easier to achieve them, as well as monitor the development process. The outsourced team has to clearly understand what is expected from them and what the requirements for the future product areLack of Control
For some managers, it is very crucial to be in charge of each step on the development timeline– So working with an independent vendor is not a comfortable experience. Not being able to ensure the project progresses according to plan is one of the challenges that come with outsourcingHow to overcome the challenge - To know how to manage a remote development team, a business manager can send a trusted employee to work at the dedicated office and oversee project development. Asking for a personal account manager who keeps tabs on the product’s progress is another way to get more control over the developmentIneffective Project Management
what’s happening at each stage of development, are the red signs that something is wrong. If you came across these offshore team challenges, it can either mean that the vendor is incompetent or aren't following the methods that you use in your workHow to overcome the challenges – The outsourced team should understand clearly and follow the development methodology a project needs. Make sure that the outsourcing company does have access to the technologies or tools needed for the completion of the projectHow to Get Maximum Productivity from an Offshore Team
Daily Meetups
Communication is the key to development success. That goes for any kind of group effort, and doubly so when the people are geographically disparate. When your team is far away from you, it should be ensured that you are updated about the progress of work. For updates about the progress of work, project management models like Scrum, Kanban or Agile can be used. To make the most out of it, use one of the project management models (Scrum, Kanban, Agile, etc.) while working with the outsourcing agency. By ensuring that your people all talk to each other daily, you’re keeping information flowing. Everyone knows what’s being worked on, and what their part isSprint Planning
Despite the daily stand-up, everyone is going to be largely working on their own tasks, and there’s a real danger of people’s work getting in each other’s way. The planning meeting is when those tasks are explained and handed out. If you’re following Agile (which you should), then you’ll have a scrum master and a product owner both participating to ensure that everyone comes out of the meeting knowing exactly what to do and why. As for the length of the sprint, that’s up to youDiscuss Your Project Goals
Just assigning a project to an offshore team without letting them know the goal behind it can land you in trouble. The developed product may not be as you expected it to be. Offshore developers require full product vision before starting working on the project. They should be given complete details like why the product is required, what functions will be carried out by the product, what all specifications is required in the product, and when it is expected to beMake Use of Agile Methodology
As software development is a process that requires a high level of interaction and iteration, the adoption of agile methodology for offshore teams helps in the development and delivery of a high-quality software product on time In some cases a sprint may be just one weeks’ time or it may be one or two months. Based on priority, features can be allocated to different sprints. At the beginning of each sprint, you and your offshore team can have a discussion regarding the features to be developed and create a detailed plan. Whenever required face to face communication can be initiated with your remote team.Communicate Frequently and Use Simple Language
When working with your remote team, you can communicate very easily and frequently by initiating face-to-face talk whenever you require. With offshore teams, you should communicate even more frequently so that all the things are clear and there is no confusion despite the large distance between your in-house and offshore teamsCommunicating with Offshore Teams
Here are some highly recommendable communication tools that help you when you are working with remote teamsJIRA
This includes everything from planning till analytics. It allows to set clear and actionable goals. Their progress can be easily tracked. Jira is customizable and it is capable of working equally good for all of the Agile methodologiesConfluence
Another product from the makers of Jira, Confluence is one of the best collaborative document systems and it is more like Google Docs. On the surface, it’s similar to Google Docs. Multiple people can share a document, view and edit it simultaneously.Changes can be both suggested as well as accepted. The software supports templates for different documents. Above all, Confluence can interface perfectly with Jira. The software supports user-definable templates for different documents, labeling, and cross-document notes. On top of all that, Confluence interfaces perfectly with Jira. Taken together, the tools make a very powerful collaboration systemBitbucket
Bitbucket Cloud is a Git-based code hosting and collaboration tool, built for teams. Bitbucket's best-in-class Jira and Trello integrations are designed to bring the entire software team together to execute a project. It helps you to track, preview, and confidently promote your deploymentsGitHub
GitHub hosts your source code projects in a variety of different programming languages and keeps track of the various changes made to every iteration. It lets you and others work together on projects from anywhereTeamViewer
TeamViewer, is an all-in-one solution for remote support, remote access, and online meetings which allows you to assist customers remotely, work with colleagues from a distance and also stay connected with your own devices or assist friends and family members. It even supports mobile devices, a must for mobile app developmentSlack or Skype
Both slack and Skype have a chat room and supports the private messaging feature, with VoIP and video calls. They feature robust chat room and private messaging functionality, along with VoIP and even video calls. Use these tools correctly, and you’ll eliminate all of the communication problems endemic to offshoringSuccess Stories
What Are The Best Practices For Microservice Orchestration and Multicluster management
Introduction
Container bundles up the OS and microservice runtime environment such as source code, dependencies, system libraries, etc. There are many tools available in the market for configuring the containers. Some of them are Kubernetes (including AKS, EKS and GKE) and ECS. Multicluster management is for managing many k8s clusters in an environment. For this, we have tools like rancher and kubesphere. In this article, Kubernetes deployment through Istio and Rancher multicluster management is covered.Istio is a service mesh which provides a language independent and transparent way for easy automation of application network functions. Istio’s features help to monitor, connect and secure services. Rancher is a complex stack for teams that adopt containers. It combines everything the organization needs to adopt and run in production. As it was built on Kubernetes it allows DevOps teams to test, deploy and manage the application in a lightweight frameworkOverview of Kubernetes Deployment through Istio
Kubernetes also known as K8s is system which helps to automate the process of deployment and containerized applications management Istio extends Kubernetes with Envoy service proxy for establishing a programmable and application aware network. With Kubernetes and olden workloads, Istio makes universal traffic management, security and telemetry to deploymentHow system Works
Sample workflow for Istio
Architecture Diagram for Rancher
What are the best features of Istio and Rancher
- Service Mesh
It has ways Ways to control data sharing between different parts of an application
Secure communication between service to service
Load Balancing is automatic for http
Control in traffic behaviour
TLS encryption, authorization and authentication tools are available to protect data and services
Observability - Monitoring, Logging, Tracing
Features of Rancher
The users can deploy an entire multi-container clustered application from the application catalog with a single click of a button
Managing of deployed applications by automatically upgrading to newer versions
It contains the distribution of container orchestration like Docker swarm, Mesos and Kubernetes
Infrastructure services include networking, storage, load balancer, and security services
Users interact with ranchers using a command-line tool called rancher-compose. Users interact with ranchers using a command-line tool called rancher-compose. User can deploy multiple services and containers on Rancher infrastructure depending on Docker compose templates. The rancher-compose tool also supports the docker-compose.yml file format
Interactive UI for managing tasks and maintaining clusters
Agile Delivery Process
10decoders has a very strong focus on process. We help our clients to capture the requirements in clear process flows and screen design. Understand how our process driven culture helps customer to grow their business
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How To Effectively Use Istio For Enterprise Governance and Monitoring
Introduction
The client offers deep and contextual application-layer visibility to remove the blind spots within distributed and cloud-native application environments, in a completely frictionless manner while being agnostic to the platform, cloud, environment, and workload type. The solution allows many people like cloud application practitioners, security leaders, and application owners to have a visibility which would help them to address compliance, and security controls for microservices and other distributed applications
Overview of Challenges faced by Client
- The client has run their pre-production application in cloud infrastructure and it costs high
- The client engineering team spent most of their time deploying their changes on cloud infrastructure for evaluation
- The client team faced more challenges in deploying their application in cloud environments and that cost 45% of their monthly budget allocation.
- Client teams spend more time on deployment and testing in cloud infrastructure will extend the delivery time of the application
How Current system Works
Enterprises today deploy perimeter-centric solutions, such as network firewalls, web application firewalls, and/or API Gateways. Others like container firewalls, network-layer micro-segmentation, or manual application testing are also tried. Some other solutions concentrate on one type of workload (e.g. containers) or are focused on data-in-use or data-at-rest and do little to secure against run-time attacks embedded deep within the application-layer componentsHow we proposed system architecture
The client ideally needs an Infrastructure with different topologies of system types templated as a solution.Generic engine for generation and regeneration of infrastructures need to be utilized. Following are some of the key considerations- The solution proposed is to create an environment like cloud infrastructure in local machines
- Writing tests framework to make the client engineering team use for their Unit Testing
- We are using MetalLB for implementing network Load Balancer in K8 local infrastructure
- Implementation of microservices to simplify the deployment and improve the performance of the application. By using testing frameworks to deliver the flawless application in a production environment
- Containerize the microservice components to achieve the CI/CD process with the K8 cluster to reduce the time spent for on deployment
- Provide scripts to automate the process of testing and deliver the application with zero bugs
What are the Benefits of the proposed system?
- DevOps process will reduce the deployment and testing time
- The product has been cleverly architected to ensure zero latency to the application, while still providing all the security features and benefits
- Provides a vulnerability assessment of the application components and provides recommendations on how to make them more secure
- Reduced the cloud Infrastructure cost up to 45%
Success Stories
How to build a video streaming app like netflix?
Introduction
The way people communicate all over the world has changed now!!!Live streaming is the live broadcasting of video content over internet. This has caused a major change in the way we communicate. Live streaming is becoming inevitable in the digital world where all sorts of organizations like education, business, entertainment, even family & friends meeting are flourishing because of thisOverview of Market Share
There is a great demand for live streaming. This has caused the live streaming market to grow. Covid - 19 is also one of the important growth factor. According to Global market insights the video chat market will grow by over 15% CAGRHow live streaming works?
A streaming server has to be already created and running. A broadcaster can initiate a stream by registering with a stream name. The users who want to be an audience can access the stream with the same stream name. When a stream is initiated, the below process happens to make the video available at the receiving endLive streaming undergoes the below steps
- Compression
- Encoding
- Segmentation
- Content Delivery Network (CDN) distribution
- CDN caching
- Decoding
- Video playback
Features to have
User Sign up & Sign in
It can be a simple registration with an email or phone number and password. It’s a good way to offer sign-ups or ins via Facebook, Twitter, or Google as it saves the users’ time. A password reset feature via email or text message is neededUser Profile
It is better to decide on what kind of personal information will be in the user profiles like profile picture, full name, subscriptions, etc., This can be viewed by friends & subscribersLive Streaming
Allows the user to record and broadcast a live stream to members who have subscribed to his/her channel or the publicChat
Chat is an essential part of any communication application. Chat combined with live streaming will be very useful for the audience to give their feedback. Third-party tools like Firebase or Twilio helps to integrate chat into video chatting. Can include Emojis to make the chat interestingRecord
Feature to record the videos and can have a user gallery to store and organize the recorded videos on user profileHow to develop a live streaming app using WebRTC?
Backend development
Create a live streaming application by means of WebRTC technologyFor a live stream to happen, the live video has to be sent to a server so that it can distribute the live stream to the audience or subscribers. So, a media server should be running somewhere that you can accessThere are many open source WebRTC media servers available. One such is Ant Media Server that can live stream & supports ultra-low latency (0.5 seconds) adaptive streaming and records live videos in several formats like HLS, MPSet up a media server You can download ant media server & use its trial version licenseBroadcast live stream Provide a stream name for the video stream and start recording. This will be passed to the ant media serverView live stream The subscriber can use the same steam name to join the stream and view the live videoUI/UX design
Next comes the good & attractive user interface & user experience. It is better to have simple navigation as it will be convenient to understand. The user has to grasp the need for features & their performanceTech stack
- Cloudflare
- Amazon CloudFront
- WebRTC
- RTMP
- Swift
- Kotlin
- Java
- Swift
- Kotlin
- Java
Video Section
Case Studies
Case Studies
11 essentials devops metrics to boost productivity
The technology landscape is always evolving, whether it is through new infrastructure, or a new CO tool coming out to help you manage your fleet better
—Mike Kail
How does DevOps work?
DevOps is one of the most important concepts in modern software development. It's a collaboration method that encourages communication and cooperation between developers, operations staff, and testers. DevOps helps to speed up the process of creating and deploying software by automating many of the manual tasks while enhancing the problem-solving aspect all on its own. Cloud computing being centralized offers standard strategies for deployment, testing, and dynamic integration of the produced collaboration. It’s a survival skill of adapting according to the ever-changing and demanding market requirements.TIP
DevOps helps you manage things effectively so that teams can spend more time on research, development, and betterment of the product.
Here are 11 essential DevOps metrics to increase productivity in organizations:
Frequency of deployment
It is vital to promote and sustain an ambitious edge by providing updates, new functions, and enhancements to the product's quality and technological efficiency. Increased delivery intensity enables greater adaptability and compliance with changing client obligations. The objective should be to enable smaller deployments as frequently as possible. Software testing and deployment are significantly more comfortable with smaller deployments.TIP
Organizations can use platforms such as Jenkins to automate the deployment sequence from staging to production. Continuous deployment ensures that the code is automatically sent to the production environment after passing all of the test cases in the QA environment.
Time required for deployment
This indicator indicates how long it will take to accomplish a deployment. While deployment time may look trivial at first glance, it is one of the DevOps indicators that indicates possible difficulties. If deployment takes hours, for example, there must be an issue. As a result, concentrating on smaller but more regular deployments is beneficial.Size of the deployment
This measure is used to monitor the number of feature requests, and bug patches sent to production. The number of individual task items varies significantly depending on their size. Additionally, you can keep track of the number of milestones and other parameters for deploymentEnhance Customer satisfaction
A positive customer experience is important to the longevity of a product. Increased sales volumes are the outcome of happy customers and excellent customer service. As a result, customer tickets represent customer satisfaction, which then reflects the DevOps process quality. The fewer the numbers, the higher the quality of service.Minimize defect escape rate
Are you aware of the number of software defects detected in production versus QA? To ship code rapidly, you must have confidence in your ability to spot software defects before they reach production. Your defect escape rate is a good DevOps statistic for monitoring the frequency with which those defects make their way into production.Understanding cost breakups
While the cloud is an excellent approach to reducing infrastructure expenses, certain unplanned failures and incidents can be rather costly. As a result, you should prioritize collecting and decreasing unnecessary costs. DevOps plays a major role here. Understanding your spending sources might assist you in determining which behaviors are the most expensive.Reduce frequent deployment failures
We hope this never occurs, but how frequently do your releases result in outages or other severe issues for your users? While you never want to undo a failed deployment, you should always plan for the possibility. If you are experiencing troubles with failed deployments, monitor this indicator over time.Time required for detection
While minimizing or even eliminating failed changes is the optimal strategy, recognizing errors as they occur is crucial. The time required to discover the fault will affect the appropriateness of existing response actions. Protracted detection times may impose limits on the entire operation. Establishing effective application monitoring enables a more complete picture of "detection time."Error Levels
It is vital to monitor the application's error rate. They serve as a measure not only of quality difficulties but also of continuing efficiency and uptime issues. For excellent software to exist, the best methods for handling exceptions are necessary.TIP
Track down and record new exceptions thrown in your code that occur as a result of a deployment.
Application Utilization & Traffic
You may wish to verify that the quantity of transactions or users logging into your system seems to be normal post-deployment. If there is a sudden lack of traffic or a big increase in traffic, something may be amiss. Numerous monitoring technologies are available to provide this data.Performance of the application
Before launching, check for performance concerns, unknown defects, and other issues. Additionally, you should see changes in the overall output of the program both during and after deployment. To detect changes in the usage of particular queries, web server operations, and other requirements following a release utilize monitoring tools that accurately reflect the changes.Case Studies
Prometheus vs Influxdb : Monitoring Tool Comparison
What exactly is Prometheus?
Prometheus is a time-series database and monitoring tool that is open source. Prometheus gives its users sophisticated query language, storage, and visualization tools. It also includes a number of client libraries for easy interaction. Furthermore, Prometheus may be combined with a wide range of other systems (for example, Docker, StatsD, MySQL, Consul, etc.)TIP
Prometheus can be great for monitoring as long as the environment does not exceed 1000 nodes. Prometheus + Grafana = best ecosystem
What is InfluxDB?
InfluxDB is what it sounds like. It is the name of the open-source time-series database developed by InfluxData. It is frequently used to monitor applications, infrastructure, and the Internet of Things, as well as for data analysis. TICK-stack is InfluxDB's own ecosystem, made up of four components: Telegraf, InfluxDB, Chronograf, and Kapacitor. InfluxDB is the foundation of this stack. While Telegraf collects data, Kapacitor provides resources for real-time data processing, and Chronograf is the mechanism for displaying and interacting with the other components of the stack, its primary aim is to store data.TIP
When it comes to storing monitoring metrics, InfluxDB excels (e.g. performance data). If you need to store different sorts of data, InfluxDB is not the best option (like plain text, data relations, etc.)
Let us look at the key differences between the two.
Features | Prometheus | InfluxDB |
---|---|---|
Data Gathering | The system InfluxDB is based on is a push-based system. It requires an application to push data into InfluxDB on a regular basis. | Prometheus is a system that operates on the principle of pull. The metrics are published by an application at a certain endpoint and Prometheus retrieves them on a regular basis. |
Storage | InfluxDB is significantly more ideal for event logging. | Prometheus is primarily centered on metrics tracking. |
Extensibility and Plug-ins | While InfluxDB has a lot of integrations, it doesn't possess as many as Prometheus. | Prometheus' key benefit is its widespread community support, which stems from its CNCF-accredited project status. Many apps, particularly cloud-native applications, already support Prometheus. |
Case Studies | While InfluxDB can support monitoring, it is not as well known as Prometheus for this purpose. As a result, you may have to develop your own integrations. If you want to do more than a mere monitoring tool, InfluxDB is a fantastic solution for storing time-series data, such as data from sensor networks or data used in real-time analytics. | Prometheus was designed for monitoring, specifically distributed, cloud-native monitoring. It shines in this category, with several beneficial integrations with current products. |
Query language | InfluxDB has its own query language known as InfluxQL. It is extremely similar to regular SQL. InfluxQL can be simpler for those who have already worked with SQL. | Prometheus has a querying functional language called PromQL. PromQL is actually incredibly simple and powerful. It was created primarily for monitoring, alerting, and graphing. It is less verbose than InfluxQL and offers a variety of useful functions |
Community | InfluxDB, despite its popularity, needs to improve on community support in comparison to Prometheus. | Prometheus is an open-source project with a huge community of users that can rapidly resolve your queries. Having a big network of support is an added benefit since there is a high probability that the challenges one is having might previously have been encountered by someone in the community. |
Scaling | Since the commercial section of Influx DB is distributed, there will be many interconnected nodes. As a result, as the server scales up, we don't have to worry about scaling nodes. Thus, Influxdb nodes might be considered redundant while handling complicated loads. | When the load rises, the monitoring Prometheus servers require scaling as well. This is due to the fact that the Prometheus server is independent. Thus, the Prometheus server works great for the simpler load. |
TIP
When it comes to storing monitoring metrics, InfluxDB excels (e.g. performance data). When compared to Prometheus, InfluxDB employs a monolithic data storage method and consumes more disk space. It's best used for logging events.
Conclusion
If you're deciding between Prometheus and Influxdb for time series data monitoring, you can consider the features discussed in this article and select which one to employ based on your needs. When it comes to monitoring services for time series data, both platforms are highly popular among businesses. While Prometheus and InfluxDB are fairly identical technologies, their key distinction is that they support different use cases. Prometheus includes a number of capabilities that make it an excellent tool for monitoring metrics, visualizing, and alerting. InfluxDB works great as an event logging database. Prometheus is a better option because it offers more integrations and functionality. However, Influxdb is a better option if you're looking for something particular for IoT, sensors, and other analytics.Relevant links:
https://prometheus.io/https://github.com/influxdata/influxdbhttps://v2.docs.influxdata.com/v2.0/https://www.influxdata.com/blog/multiple-data-center-replication-influxdb/https://logz.io/blog/prometheus-monitoring/Case Studies
8 Proven Ways to Reduce Your AWS EC2 Costs
Here are 8 Proven Ways to reduce your EC2 costs:
Decide on EC2, ECS , Fargate Or Serverless Archictecture
Instances that can fulfill your applications' and workloads' needs. You can do this by evaluating your computing demands. Memory, network, SSD storage, CPU architecture, and CPU count are all factors to consider. Once you have this information, you should seek an instance that offers the greatest performance for the amount you are willing to pay. It is not hard to discover low-cost cloud instances based on your requirements. We can use serverless architecture if the REST service or deployment does not rely on the existence of running machines and can be an event driven architecture. We can also set up ECS or Fargate machines with the right size, memory, and storage to scale up or down depending on your needs.TIP
You can save licensing cost with predefined or bulk license management.
Leverage reserved instances
Reserved Instances are a way to buy EC2 machines for a long term and reduce overall pricing through an agreed discount. Since a reserved instance is a pre-paid model, Amazon offers a 75 percent drop on the hourly pricing per instance. As a result, the entry-level instance will cost less. The availability of the reserved instance model is likewise higher than that of the on-demand instance. Why? In a nutshell, it's because it's prepaid. As a result, it is pre-booked, allowing Amazon to schedule the time required. Finally, users can sign up for a one-year or three-year commitment to use the EC2 reserved instance.Leverage GPU Instances
CPUs and GPUs have a significant impact on both cost and performance. You should decide which kind is most suited to your needs. If you want to execute machine learning tasks on the cloud, for example, you should utilize modern GPU instances such as the G3 or P3 series. Even while GPUs have a greater cost per hour, GPU instances may greatly expedite training time and yield cost savings (as compared to CPUs).Spot Instances for stateless and non-production workloads
Spot instances can save a lot of money for stateless and non-production workloads. You can save up to 90% off the on-demand pricing and lower your EC2 expenses. It should be emphasized that Spot Instances are subject to change and that they might be taken before the instance is utilized.Leverage Tags & Setup Availability times
Understanding the NFR Non functional requirements of a business can help determine the hours our EC2 machines need to run. This way we can set up startup and shutdown times for the machine and avoid unwanted running cost and downtime for the machines. You can save money on EC2 by prioritizing some EC2 instances over others. You may, for example, restrict your search to just production, non-production, and other instances. Tags can be used to find and optimize instances using the AWS dashboard and the AWS API. Tags may also be used for compliance and security.Auto-Scaling
The AWS Auto Scaling mechanism guarantees that the right number of Amazon EC2 instances are operating to manage the demand of a certain application. Auto Scaling modifies compute performance dynamically depending on a specified agenda or the current load measurements, raising or lowering the number of instances as required. You can utilize a range of scaling options provided by Amazon to adjust capacity to real demands. You can easily save money and prevent waste by dynamically scaling down capacity. Configure Auto Scaling with precision to maximize cost savings. You can over-provision capacity if you use Auto Scaling for applications that are too big or include too many instances.EC2 Instances of appropriate size
Right-sizing is adopting an EC2 instance type that is a suitable match for your application or workloads to prevent underutilized resources. To identify the kind of instance necessary, evaluate the number of CPU and memory resources utilized by a certain application. After that, you can choose the instance type and number of instances that are most suited to your needs. You can also get the most out of your reserved instance purchases if you size wisely. You can save even more money by subscribing to a certain term and obtaining reserved instances once you've chosen the best configuration for your instance. However, it may be difficult to determine the right size when dealing with unpredictable workloads, and reserved instances are often wasted.Orphaned Snapshots should be detected and eliminated
As per standard rules, any associated EBS volumes are automatically erased when an EC2 instance is terminated. Any snapshots that are still on S3 and are billing. These expenses might be more than you anticipate. Most backups are incremental, while the first snapshot captures the whole drive. Additionally, over time, incremental snapshots may need more data storage than the first one. Despite the fact that S3 is less costly than EBS volumes, you'll need a strategy for deleting EBS volume snapshots when an EBS volume is destroyed. Over time, this might result in considerable storage cost savings.TIP
Always plan to set up budgets and consume resources within the budget. Custom alerts can also help us realize if we used 50%, 75% or 90% of our limit
Conclusion
The Amazon EC2 service is a great way to get some computing power without having to manage a server. However, you can't leave an instance running all day and night without paying for it. After all, it's not free! Common issues that occur with EC2 costs - Underutilized and idle EC2 Instances, tracking reserved Instances with unused hours, Migration of EC2 Instances from a previous generation. Oversizing and inefficiency of the system bring their own set of challenges.In conclusion, there are many ways to reduce your EC2 costs. By following the tips in this article, you can resolve the above challenges, save money and improve your efficiency. The cost of an EC2 instance is based on the instance configuration associated with data processing needs. Successfully minimizing EC2 expenses is totally reliant on the balance between the cloud computing needs to process corporate data and the quantity of the data that is being processed. Get in touch with us to lower your EC2 costs. With our expertise, you will be able to make the right choice for your tools.Helpful links
https://segment.com/blog/spotting-a-million-dollars-in-your-aws-account/https://cloudcheckr.com/cloud-cost-management/aws-cost-issues-quick-fix/https://www.apptio.com/blog/decoding-your-hidden-aws-ec2-costs/Agile Delivery Process
10decoders has a very strong focus on process. We help our clients to capture the requirements in clear process flows and screen design. Understand how our process driven culture helps customer to grow their business
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Case Studies
Top 5 Java Development companies in Chennai
1. Hakuna Matata Tech Solutions
Hakuna Matata Tech solution develops applications by using latest digital technologies to come-up with Client specific solutions which can transform enterprises from their traditional processes impacting their efficiency and productivity to have a rapid growthEmployees Review
- “Good place to start working”
- “Excellent work culture and platform for learning”
- “Good place to learn and grow”
- Media
- Healthcare
- Manufacturing
- Retail
- Construction
2. Siam Computing
Siam computing is one of the top software development companies in Chennai. They have professional services for developing and improving software solutions. The developers make sure that they effectively use the latest technology and the latest digital strategies and technology are integratedEmployees Review
- “One of the best companies I have worked for”
- “Best Place to develop your skills”
- “Web development – The best place to develop your skills”
Industries From Where Their Clients Belong
- Real Estate
- Marketing and Advertising
- Education
- Information Technology
- Financial & Payments
3. 10Decoders Consultancy Services Private Limited
10decoders is a cloud engineering company with solid experience architecting and building highly scalable and highly available systems on the cloud. 10decoders helps startups and businesses to scale their remote teams with the right people10decoders has a vast client base and experience working on silicon valley startups, healthcare giants & Fin-tech companies in the USA & Canada. 10decoders specialize in AgriTech and RegulatoryTech product implementations alsoStarted as a small company with 5 members in 2015, 10decoders has grown into a team of 80 members with capabilities across web, mobile, and cloud engineeringEmployees Review
- “Great place to explore, challenge and strengthen your skills. An actively growing company, you'd love to be a part of!”
- “There are so many great things about working at 10Decoders. It provides great opportunities to develop my technical skills. An overall, work is good in its way, the client and co-workers are well supported. Excellent place to start your career with. Has multiple domains to gain knowledge on”
- “Friendly Staff and Friendly co-workers, best work to improve ourselves and learn new technologies”
Technologies we Work On
Front End: React.js, Angular Back End: Java, Python, Node.js Framework: Django, Flask, FastAPI, Spring / Spring Boot, Express Database: MongoDB, DynamoDB, MySQL, MS SQL Infrastructure: Azure, AWS, Google Cloud, Digital OceanIndustries From Where Our Clients Belong
- FinTech
- Healthcare & MedTech
- Agriculture
4. Zencode Technologies
Zencode offers a wide range of business solutions to its customers. From mobile application development to artificial intelligence and data analytics, they cover everything. Their main aim is to provide top-notch services to the customers to fulfill their varying business needs. Over the years, they have offered out customized business solutions to a huge number of industries which include Finance, Engineering, E-commerce, Logistics, and HealthcareEmployees Review
- “Working in Zencode will build your confidence as you are encouraged at every step in your work”
- “Good work culture and environment. The company is striving towards innovation and latest technology, providing opportunities for employees to learn and grow professionally”
Industries From Where Their Clients Belong
- Hospitality & Leisure
- Business Services
- Financial Services
5. Agriya
Agriya is a software development company with more than 150 employees spread across two development centers in India. Their head office is located in Chennai. Agirya is listed in top 10 software companies in Chennai due its top-quality work. The company was established in 2000Employees Review
- “Peaceful environment to work”
- “Perfect company to kick-start your career”
- “Great concern to learn and work with new technologies”
Industries From Where Their Clients Belong
- Information Technology
- Art, Entertainment & Music
- Business Services
- Advertising & Marketing
- Retail
Technologies
Technologies
Why and when choose custom Software development?
Introduction
Custom software development is the process of designing, developing, deploying, and maintaining software for a certain set of Users or a specific Organization. Any software will meet the generalized need of the end-users.The existing software may not address all the needs of the Organization. In such a case they move in for customization of the existing software. Customized solutions are developed to meet the needs of the UserOverview of market share
Custom Software Development Services Market is huge and is growing at a moderate speed with substantial growth rates over the last few years and is estimated that the market will grow significantly in the next few years.The Custom Software Development Services Market is driven by the growing requirements for customized software among Organizations. Moreover, organizations are always looking for reducing long-term costs. Custom software development is becoming popular among organizations that are largely looking for scaling up of their business operations.A holistic evaluation report of the market is provided by the Global custom software development services market.The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.How custom software development process Works
The process followed in custom software development is same as SDLC. It starts with Planning and Analysis followed by Design, Development, Testing, and finally maintenance of the completed product. The main goal of planning and analysis is to collect as much data as possible. The design transforms the requirements into a detailed system design requirements document. It is like a blueprint for the solution which is used for developing the code. Developing code is the actual implementation phase, which is followed by rigorous testing. Testing is done until all issues are identified and resolved. Finally, the product is deployed into the live environment. And the product gets into the maintenance phase.Reason to choose custom software development
Generally, developing an application from scratch is a complex and time-consuming process. If there is not much time and a solution needs to be implemented as quickly as possible, then custom software development would be a better choice. The next factor to be considered is software development cost. Ready-to-use applications can save the budget if they provide the desired functions and match the standard requirements and do not need any customization. In case the ready-to-use application can’t meet the demands of all kinds and the development team needs to handle complex processes and comply with high security and industry regulations then a custom software development process would be the best option.What are the Benefits of the Custom Software development process
Some of the benefits of the custom software development processUniqueness
One of the important benefits of custom applications is uniqueness. Tailored solutions are built to fit the user’s specifications. A development team experienced in custom software development help to deliver a solution that will include the features requested.Flexibility & Scalability
Regular software cannot be manipulated and it will remain constant. It will become unsuitable to keep using it. But custom software can be scaled according to the needs of the company and easily integrated with business. So the user need not change according to the application but the application can be changed according to the user.Cost effectiveness
Readily available software might be less expensive but it might have some recurring costs which will make it less beneficial. They might also lack some critical functionality. In such cases developing a product from scratch might cost more. When existing software is customized, a huge sum of money need not be invested.Security
While customizing or developing software, the important feature that needs to be handled is security When an organization needs to support expensive security protocols, it might be an add-on cost to them. But with customized software, they can decide about the security technology to be used and choose one which is ideal for their business.Team Capabilities
Team experience and technical skills A software team with strong technical skills, in-depth knowledge of the latest technologies, and experience with multiple companies need to be considered for customizing software.Cost Structure
When a third party is hired for customizing software, it should be ensured that they give a clear picture of all the costs involved and do not keep the costs hidden.Communication Skills
The custom software development team should be strong in communication skills. Their strong communication skills will help them to understand the details of the unique requirements needed by the client. When they have a clear understanding, they can carefully design and develop software with accuracy.Why choose 10Decoders for custom software development?
- 10Decoders team has worked on customizing multiple types of applications for many clients.
- We have also tried and tested various methodologies for successful completion.
- Also, we work with highly secured and safe systems. So your data will be protected in our hands.
- Depending on the complexity of Customization our charges are reasonable. And we do not have any hidden costs.
- We have Engineers who are highly skilled in multiple technologies, who can readily work on customizing your needs.
Technologies
Voice Enabled Banking and Chatbots with Dialogflow
Introduction
Banking chatbots generate better results and superior customer experiences for the banking industry and other financial institutions. They help the customers in multiple ways like getting account balances, to apply for loan or credit card, transfer funds, pay bills, or to update the profile details. Regular customer interactions can be automated partially or fully using a banking chatbot which is available 24/7. A voice enabledWhat is Chatbot?
chatbot is a variation of a conversational AI solution. It leverages NLP combined with speech-to-text(self-developed or already existing platforms) and automates speech recognition to deliver resolution immediately. Voice Assistants can either be a complete voice-based model or as a multimodal chatbot supporting both text and voiceWhat is Dialogflow?
Dialogflow is a natural language understanding platform used to design and integrate a conversational user interface into mobile apps, web applications, devices, bots, interactive voice response systems, and related usesOverview of Market Share
The global chatbot market size was estimated at USD 430.9 million in 2020. The growth is expected to be driven by the increasing adoption of customer service activities among enterprises to reduce operating costs. A chatbot is an interactive application developed using either a set of rules or artificial intelligence technology. A chatbot is basically developed using AI technology or a set of rules. It is designed in such a way that it can interact with humans through text. To assists users in various sectors, it is integrated with other messaging services. Various innovative ideas are implemented in Machine Learning (ML) and Artificial Intelligence (AI) technologies which will enhance the features of chatbots, which, in turn, will create greater demand for chatbots.Since businesses are looking for ways to automate their sales and other services Chatbots are becoming popular. This helps the organizations to stick to the schedule at reduced cost.How do Chatbots work?
- 1A user sends a text/voice message to a device or an App
- The App/Device transfers the message to Dialogflow( via detecting API )
- The message is categorized and matched to a corresponding intent (Intents are defined manually by developers in Dialogflow)
- We define the following actions for each intent in the fulfillment (Webhook)
- When a certain intent is found by Dialogflow, the webhook will use external APIs to find a response in external databases
- The external databases send back the required information to the webhook
- Webhook sends a formatted response to the intent
- Intent generates actionable data according to different channels
- The actionable data go to output Apps/Devices
- The user gets a text/image/voice response
How to build your first Chatbots?
Agent: An agent is merely another term used to refer to the chatbot. While using Dialogflow, you will find that many people start off by asking you to ‘name the agent.’ This just means giving your chatbot a name, so even in this context, it's one and the sameIntent – ‘Intents’ are how a chatbot understands ExpressionsResponses: This is the chatbot’s output that is aimed at satisfying the user’s intentEntities: ‘Entities’ are Dialogflow’s mechanism. It helps to identify and extract useful data from the natural language inputs given by user. Actions & Parameters are also Dialogflow mechanismsActions & Parameters These too, are Dialogflow mechanisms. They serve as a method to identify/annotate the keywords/values in the training phrases by connecting them with EntitiesWe will see how to create a chatbot in Dialogflow using the followingStep1: Login with DialogFlow Account
- Go to https://dialogflow.cloud.google.com
- Click ‘Go to console’ in the top right corner
- Login with a Gmail account
Step2: Create a new Agent
- Start off by clicking ‘Create Agent’ in the column menu to your left
- Give your Bot a name! We’re going to call ours a ‘Testing’
- Be sure to select your time zone and language as required
- Click ‘Create’
Step3: Create a new Intent
- Click “Intent” on the left side
- Add the Intent Name and Training Phrases
- If you have already created Entity, Please mark the entity for the corresponding questions. Here I have created one entity as “Cheque” and marked that keyword to that training phrase
- After that, we need to add the response in the Intent
- Click “Save” in Intent
Step4: Check Question
We are able to check the questions on the right side of the top corner and it will give the intent name, Entity name and answer alsoBest features
Some best features are given below- Self Service Customer Support Self Service via a voice bot is more scalable and customer-centric. Giving your customers a voice bot as the first mode of communication can help them resolve their queries faster and for major queries, the AI-enabled voice bot can transfer the call or the message to the right agent
- Zero Wait Time Calling any customer support center can be a nightmare for most people, basically, because of the wait time and redirections. Enabling FAQs on automating general queries on IVR, Alexa or Google Assistant can save a lot of time and the agent can take over or the call can be transferred to the agent only for critical issues
- 24/7 Availability Humans require rest, but machines do not. Even if your agent is not available, the voice bots can resolve the queries for your customers and take their details in case of urgent queries. And your agent can contact them at their earliest convenience
- Break from Monotonous Texts Provide a multimodal Intelligent Virtual assistant supporting both chat and voice, rather than just a text-based chatbot. Just a text-based chatbot requires a lot of patience, and time from the user’s end. And also sometimes it becomes difficult to understand voiceless messages as it lacks sentiments. AI-enabled voice bot is highly automated, intelligent, and customer-friendly; making it a need of the hour for brand-customer engagement platforms
- No human contact Pandemic made it really clear the need for an automated customer support system, as most customer support offices were closed down. Many businesses and banking institutions were seen adopting IVR support for resolving customer queries like Kotak, ICICI, etc
- Save Cost An automated AI-enabled voice bot increases your team’s productivity, by taking care of all repetitive queries. Your team can just focus on critical queries, thus saving a lot of time and money for your business
- Increased Productivity Using voice bots, your customers can handle multiple tasks simultaneously, and in one call. Customers can schedule appointments, organize and modify meetings, check balance, do transactions, get account details, set reminders, etc
Tech Stack and Team Capabilities
A company can use Dialogflow to create messaging bots that respond to customer queries in platforms like Alexa Voice Services (AVS), Google Assistant, Facebook Messenger, Slack, Twitter, Skype, Twilio, Telegram, and several other messaging integrations. Dialogflow can be integrated into WhatsApp, tooOther chatbot platforms
- Google Dialogflow
- Amazon Lex
- IBM Watson Assistant
- Facebook’s Wit.ai
- Microsoft Azure Bot Service
Programming Language support
Dialogflow supports the following programming languages c#, Go, Java, Node.js, PHP, Python, and Ruby Choosing NodeJS is clearly a straightforward choice because NodeJS is asynchronousPlatform case study with a link
You can browse the sample code about Dialogflow integration from Google at GitHub with the links belowLanguage | Links |
---|---|
C# | GoogleCloudPlatform/dotnet-docs-samples/ |
Go | GoogleCloudPlatform/golang-samples |
Java | googleapis/java-dialogflow |
Node.js | googleapis/nodejs-dialogflow |
PHP | GoogleCloudPlatform/php-docs-samples |
Python | googleapis/python-dialogflow |
Ruby | googleapis/google-cloud-ruby |
Agile Delivery Process
10decoders has a very strong focus on process. We help our clients to capture the requirements in clear process flows and screen design. Understand how our process driven culture helps customer to grow their business
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