From Metrics to Insights: OpenTelemetry Integration with Azure
Transform raw telemetry into actionable insights by integrating OpenTelemetry with Azure Application Insights for unified, end-to-end observability across modern cloud-native applications.
Founder & CTO
- 5 mins read
- 23 Dec, 2025
Visibility is everything in today’s cloud-native architectures. As the architecture spreads across more and more microservices, containers, and cloud environments, it becomes even more important to know what’s happening at different layers in your application stack for troubleshooting performance/reliability issues (along with cost optimization). This is where the OpenTelemetry and Azure Application Insights combine to provide a seamless observability experience. Let’s see how you can use OpenTelemetry and Azure Application Insights together to gain unified insights you’re your application.
Why Observability Matters More Than Ever
Traditional monitoring tools are oriented around capturing metrics such as CPU load or number of requests. But in a distributed environment, with one user request spread across many APIs, queues and databases, these have only given us part of the picture. Observability extends beyond monitoring. It delivers real-time full-stack visibility into the performance of your apps with three essential data types:
- Logs – Event-driven data useful for debugging or tracking problems.
- Metrics – Numbers (such as response times or error rates) used for measurement purposes.
- Traces – End-to-end flow of requests, services with context.
With observability, teams aren’t just alerted when something goes wrong, they have a sense of why it went wrong.
Understanding OpenTelemetry
OpenTelemetry (OTel) is an open-source observability project that defines how telemetry data – traces, metrics, and logs is generated, collected, and exported. It simplifies instrumentation by providing:
- Language SDKs for multiple platforms
- Auto-Instrumentation Agents that gather telemetry without any code change
- Exporters to send telemetry data to backends such as Prometheus, Jaeger or Application Insights
OpenTelemetry is the base for observability and Azure Application Insights offer both analytics and visualization layers.
What is Azure Application Insights?
Azure Application Insights is Microsoft’s application performance management (APM) service for web developers, built to help manage the availability and performance of applications whether they’re hosted in the cloud, on-premises, or in hybrid setups. It aids developers in identifying anomalies, diagnosing performance slowdowns, and comprehending “the why” of user behavior. Key capabilities include:
- Distributed tracing and dependency tracking
- Live metrics and performance charts
- Smart diagnostics and anomaly detection
- Log Analytics and Azure Monitor Integration
By integrating with OpenTelemetry, Application Insights grows even more powerful in unified application experience for applications instrumented with open standards.
The Benefits of Using OpenTelemetry with Application Insights
Combining OpenTelemetry and Application Insights brings you the best of both worlds:
- Vendor-neutral data collection: OpenTelemetry guarantees your observability setup is independent from any specific platform.
- Monitoring your systems together: Monitor systems by capturing telemetry directly within Application Insights – from apps running on Azure, AWS or GCP, to ones you have hosted on-premises.
- Connected insights at a deeper level: Traces, metrics and logs work together seamlessly for faster troubleshooting and root-cause analysis.
- Future-ready: Flexible enough to grow with OpenTelemetry, add new observability capabilities without changing the core of your application.
How the Integration Works
This is how OpenTelemetry and Application Insights work together:
- Instrumentation: OpenTelemetry SDKs or agents collect the telemetry data (traces, metrics, logs) from the application.
- Processing and Export: The OpenTelemetry Collector ingests this data, applies some processing (e.g., sample, filter) to it, and exports.
- Application Insights Ingestion: The transformed telemetry is written to Azure Application Insights using Azure Monitor OpenTelemetry Exporter.
- Visualization and Analysis: Application Insights receives the data and displays it as dashboards, queries, and visual reports.
This configuration develops a pipeline from your application to the actionable insight.
Step-by-Step Integration
Let’s see how you can use Application Insights with OpenTelemetry, for a .NET or Java application.
Step 1: Configure Application Insights
- Go to the Azure Portal.
- Create a new Application Insights resource.
- Copy the Connection String
Step 2: Include OpenTelemetry Packages
Depending on your platform:
For .NET:
- Add the following NuGet packages:
- OpenTelemetry
- OpenTelemetry. Exporter. AzureMonitor
- OpenTelemetry. Extensions. Hosting
For Java:
- Add dependencies on the OpenTelemetry SDK and the Azure Monitor exporter using Maven or Gradle.
Step 3: Configure OpenTelemetry
Configure OpenTelemetry for collecting traces, metrics and logs of your application. This means instrumenting your app to capture important telemetry for you automatically that includes HTTP requests, database calls and internal operations. Telemetry data is subsequently exported to Azure Application Insights by means of the Azure Monitor exporter so that all of your performance, trace and error information is in one place for analysis and monitoring.
This setup offers you complete end-to-end visibility, helps teams keep track of requests and spot abnormalities, as well as gain insights from your distributed services.
Step 4: Verify if the Data Appears on Azure
After you deploy, return to your Application Insights resource in the Azure portal. You should start seeing:
- Requests live and dependencies are under Performance
- Distributed traces under Transaction Search
- Custom metrics and logs in Log Analy
Observability in Action
Think about a payment application consisting of several microservices: Order API, Payment Gateway and Notification Service. When the transaction fails, you can trace through OpenTelemetry to see which service was responsible for any error. Application Insights collects and renders this feedback, providing your developers a way to address the problem before affecting users. You can even create custom dashboards to show off all your key numbers like:
- Average response times per service
- Failed transaction counts
- Queue latency
- Dependency performance trends
With that kind of setup, you’re not simply being reactive, but proactive and even preventative.
Extending Observability with the OpenTelemetry Collector
It is recommended to use the OpenTelemetry Collector for more complicated architectures. It’s a lightweight, vendor-neutral agent that consumes telemetry data from a variety of inputs, applies some sort of processing to it and then exports it to one or more destinations. Benefits include:
- Centralized management of telemetry pipelines
- Pre-export data transformation and augmentation
- Decreased load on application nodes
You can set up the Collector once and send data to Application Insights, Prometheus or other observability tools simultaneously.
Best Practices for Effective Integration
In order to make the most of this set up, consider these best practices:
- Standardize resource attributes: Ensure your instrumentation uses the same service names, environments and versioning.
- Sample strategically: Tune granularity of your data with performance implications using OpenTelemetry’s sampling configurations.
- Leverage custom metrics: Define your KPIs which is not only system metrics but indeed kind of database/logic count values you have.
- Integrate with DevOps workflows: Utilize AppInsights alerts and dashboards within CI/CD to enable proactive monitoring.
- Secure telemetry data: Verify sensitive data and secure it before exporting any telemetry.
Real-World Use Case
10decoders used OpenTelemetry with Azure Application Insights for a customer which was supporting a financial applications on large scale. The problem was fragmented visibility across services hosted in AKS and external APIs. The client achieved the following by adopting OpenTelemetry for unified instrumentation and using Application Insights as the destination:
- 60% faster root-cause detection
- Cross-environment observability with unified dashboards
- Data-driven optimization of transaction workflows
This integration allowed the DevOps and engineering teams to work together more effectively, identify issues earlier, and maintain reliable application performance.
Key Takeaway
Observability is no longer a luxury. It’s a requirement for any modern digital business. OpenTelemetry and Azure Application Insights work together for developers to achieve an open and scalable observability solution with intelligence built in, providing complete visibility into performance and reliability.
OpenTelemetry provides a single set of APIs, libraries, agents, and instrumentation to capture distributed traces and metrics proving the observability in depth through Application Insights so that you can build, deploy, and scale applications with more reliability.
10decoders helps companies to onboard observability solutions aligned with their architecture that would help them get faster telemetry integration, actionable insights and improved system performance.
If you’re now ready to unshackle full-stack observability within your cloud world, our professionals can work with you to determine and deploy the best solution.
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