Alexis Kestler
As an applications developer, having robust application performance monitoring (APM) in place is essential for you to build and maintain high-quality applications that your users will love. With the rise of distributed systems and microservices, the complexities of monitoring application performance have increased exponentially.
Thankfully, open source APM tools have stepped up to provide powerful capabilities without vendor lock-in or high costs. In this comprehensive guide, I‘ll explore the top 10 open source APM solutions available in 2025 based on adoption, capabilities, and more. I‘ll also share my insights as an experienced developer on why APM matters and key factors to evaluate.
Why Application Performance Monitoring Matters
Let‘s first discuss why APM is so critical for modern application development:
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Rapid issue detection – APM gives you near real-time visibility into bottlenecks, errors, and anomalies so you can diagnose and fix them before customers even notice a problem.
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Enhancing user experience – By continuously monitoring app performance, you can catch regressions and optimize speed. According to Akamai, a 100ms delay in load time can reduce conversions by 7%.
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Reducing infrastructure costs – Apps with performance inefficiencies like excessive CPU usage can result in bloated cloud bills. APM helps rightsize your resources based on actual usage data.
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Understanding complex systems – Seeing how transactions flow across services provides invaluable observability into interconnected architectures that are opaque otherwise.
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Preventing outages – Early warning of emerging issues lets you take corrective action before small problems cascade into major incidents. Outages directly impact your users and reputation.
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Informed CI/CD – Rapidly deploying new versions is great, but can introduce regressions. APM data helps balance release velocity with stability.
Simply put, APM brings the inner workings of your applications to light so you can build higher quality, more efficient and reliable software.
Overview of Top 10 Open Source APM Tools
Now let‘s dive into the top open source APM tools available today:
1. Elastic APM
Overview: An end-to-end APM solution from Elastic, the developers of the popular ELK stack. Designed to be simple to get started with while also providing advanced capabilities.
Adoption and Credibility: Very widely used, with over 5 million downloads and 500+ Github stars. Elastic is a recognized leader in monitoring and observability.
Key Capabilities:
- Application metrics (requests, response times, etc)
- Distributed tracing
- Error and anomaly detection
- User experience metrics
- Machine learning-powered analytics
- Alerting and reporting
- Seamless integration with the ELK stack
Supported Languages: Java, Python, JavaScript, Ruby, .NET, Go, PHP and more
Verdict: With its combination of simplicity and powerful functionality, Elastic APM is a top choice for many development teams. Integration with Elasticsearch provides long-term storage and analytics capabilities.
2. New Relic OpenTelemetry Collector
Overview: An open source collector designed to send telemetry data to New Relic for analysis and visualization. Enables leveraging New Relic‘s APM without vendor lock-in.
Adoption: Used alongside New Relic‘s commercial APM, which has over 18,000 customers including Adobe, AWS, and McDonalds.
Key Capabilities:
- Metrics and logs collection
- Distributed tracing
- Context propagation
- Reporting to New Relic APM
- Kubernetes monitoring built-in
- Support for major cloud providers
Verdict: For developers already using New Relic, the OpenTelemetry Collector provides greater flexibility. As New Relic builds out its observability platform, expect rapid evolution.
3. Grafana Tempo
Overview: An open source distributed tracing backend by Grafana Labs designed specifically for high volume throughput and cost-effective storage.
Adoption: 185+ Github stars. Used by Grafana Cloud customers including Toyota, AT&T, and Microsoft.
Key Capabilities:
- Distributed tracing analytics
- Search indexing for fast queries
- Visualization in Grafana
- High ingestion throughput (millions of traces per second)
- Low-cost object storage options
Verdict: For developers using Grafana for metrics visualization, Tempo is a compelling choice that won‘t break the bank for high-scale trace storage and analytics.
4. Apache SkyWalking
Overview: An open source observability platform designed for microservices, cloud native and container-based architectures.
Adoption and Credibility: 8000+ Github Stars and part of the Apache Software Foundation. Used by Tencent, Huawei, Dell and other major companies.
Key Capabilities:
- Distributed tracing and in-depth analysis
- Auto-generated topology maps
- Customizable dashboards
- Infrastructure and container monitoring
- multiple language agents (.Net Core, Java, NodeJS, Go)
- storage integrations
Verdict: SkyWalking is uniquely designed for modern polyglot and containerized environments. It provides comprehensive observability into complex microservices.
5. Stagemonitor
Overview: An open source APM tool tailored specifically for production monitoring of Java applications.
Adoption: 1000+ Github Stars
Key Capabilities:
- In-depth Java application metrics
- Call stack visibility
- Cache metrics
- Trace analytics
- Integrated Grafana dashboards
- Alerting
Verdict: For developers working with Java apps, Stagemonitor provides targeted APM capabilities without unnecessary complexity.
6. Pinpoint
Overview: An end-to-end open source APM tool created by South Korean company NAVER designed for large-scale distributed systems.
Adoption: 5500+ Github Stars. Used internally at NAVER for its services.
Key Capabilities:
- Real-time distributed tracing
- Service topology mapping
- Call graph visualization
- Agents for Java, Python, PHP
- Monitoring for databases, queues, caches, web servers
- Real user usage analytics
Verdict: Pinpoint rivals commercial tools with its depth of capabilities tailored for complex microservices environments.
7. OpenTracing
Overview: A vendor-neutral open standard and API for consistent distributed tracing instrumentation. Enables interoperability between tracers.
Adoption: 1000+ Github Stars. Adopted by all major APM vendors.
Purpose:
- Defines an API for instrumenting applications
- Allows tracing across tools through common data model
- Implementation agnostic
- Never locks you into a vendor
Verdict: Rather than being a complete APM solution, OpenTracing serves as the foundation for making tracing data portable across different monitoring tools.
8. Jaeger
Overview: An end-to-end distributed tracing system that adheres to OpenTracing standards while providing powerful capabilities. Originated at Uber and donated to CNCF.
Adoption: 9000+ Github stars. Used by Uber, JP Morgan Chase, Figma and more.
Key Capabilities:
- Distributed tracing following OpenTracing
- Monitoring for Cassandra, Kafka, gRPC, Redis and more
- Analysis UI for distributed traces
- Storage options (Cassandra, Elasticsearch)
- Kubernetes native
Verdict: As the most full-featured implementation of OpenTracing, Jaeger is a great choice for anyone wanting open standards-based distributed tracing designed for microservices environments.
9. Hawkular
Overview: An open source metrics engine and application performance management system tailored for Kubernetes, OpenShift and container environments.
Adoption: 900+ Github Stars. Used by Red Hat.
Key Capabilities:
- Custom metrics collection
- Alerting and anomaly detection
- Analytics via OpenShift Metrics
- Dashboards
- Distributed tracing support
- Kubernetes and OpenShift integration
Verdict: For developers on container orchestrators like Kubernetes and OpenShift, Hawkular provides integrated monitoring and APM without leaving the environment.
10. AppDynamics Database Visibility
Overview: An open source module from AppDynamics that delivers monitoring for database performance as part of APM. Can be used as a standalone component.
Adoption: 1200+ Github Stars
Key Capabilities:
- Monitoring for Cassandra, MongoDB, MySQL, Oracle, and more
- Dashboards for database performance
- Query analytics and trace views
- Correlates database with application performance
Verdict: While AppDynamics has a robust commercial APM platform, this database module is open source and fills a gap many tools have around monitoring database interactions.
Evaluating APM Solutions
When assessing open source APM tools, look for these key capabilities:
- Distributed tracing – Critical for microservices to trace requests across services
- Error tracking – Detect and aggregate errors to surface issues
- Performance metrics – Response times, latency, throughput, etc.
- Real user monitoring – Understand user-experienced performance
- Visualization – Topology maps, service dependency maps
- Anomaly detection – Machine learning algorithms to detect abnormal patterns
- Log management – Centralized logs for debugging
- Alerting – Configurable alerting on metrics and errors
Also consider capabilities like:
- Programming language support
- Data storage options
- Cloud provider integration
- Kubernetes monitoring
- Dashboards and reporting
Evaluate options against your specific stack, use cases and scalability requirements.
Recommendations
Here are my recommendations based on your needs:
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For Java-based applications, I would recommend Stagemonitor for its targeted capabilities.
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For microservices environments, OpenTracing combined with Jaeger provides vendor-neutral distributed tracing.
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If you are already using Grafana, Tempo is a great choice to get integrated tracing.
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For comprehensive APM across polyglot architectures, Elastic APM is feature-rich yet easy to use.
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If on Kubernetes, Hawkular provides deep integration for container-based monitoring.
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Pinpoint rivals commercial tools in capabilities for high-scale microservices environments.
Conclusion
Robust APM is now a must-have for delivering high quality applications with speed and reliability. The open source tools highlighted in this guide provide powerful capabilities:
- Elastic APM
- New Relic OpenTelemetry
- Grafana Tempo
- Apache SkyWalking
- Stagemonitor
- Pinpoint
- OpenTracing
- Jaeger
- Hawkular
- AppDynamics Database Visibility
Carefully evaluate their strengths against your specific use case. For many organizations, open source APM can deliver full observability without the cost and lock-in of commercial tools. With the right instrumentation in place, the insights you gain from APM will help you continuously improve application performance and user satisfaction.
Let me know if you have any other questions! I‘m always happy to discuss APM best practices.
