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Pinpoint is an open-source Application Performance Management (APM) tool designed for monitoring and tracing transactions across large-scale distributed systems. It provides real-time visibility into application topology, code-level transaction details, and performance metrics with minimal overhead (~3% resource usage).
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | pinpoint-apm/pinpoint |
| Owner | pinpoint-apm |
| Primary language | Java |
| License | Apache-2.0 — OSI-approved |
| Stars | 13.8k |
| Forks | 3.8k |
| Open issues | 531 |
| Latest release | v3.1.0 (2026-05-20) |
| Last updated | 2026-07-08 |
| Source | https://github.com/pinpoint-apm/pinpoint |
What pinpoint is
Pinpoint is a Java-based APM platform inspired by Google Dapper that uses bytecode instrumentation to trace transactions across distributed systems without code changes. It supports JDK 8+, a wide range of frameworks (Spring, Tomcat, Jetty, etc.), RPC protocols (Thrift, gRPC, Dubbo), messaging systems (Kafka, RabbitMQ, ActiveMQ), and databases (MySQL, PostgreSQL, Oracle, etc.), with additional C-based agents for PHP and Python.
Get the pinpoint source
Clone the repository and explore it locally.
git clone https://github.com/pinpoint-apm/pinpoint.gitcd pinpoint# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Agent deployment requires JVM parameter injection (no code changes required); verify compatibility with application startup scripts and container orchestration before production rollout.
- Backend storage uses HBase; plan for cluster setup, data retention policies, and backup strategy. Kubernetes deployment reference available at pinpoint-kubernetes repository.
- Wide plugin support, but verify your exact framework versions and custom libraries have instrumentation; check plugin repository for coverage gaps.
- Sampling and filtering configuration critical at scale to manage storage and query performance; start conservative and tune based on baseline metrics.
- Transaction ID correlation across services relies on header propagation; ensure your HTTP/RPC frameworks and custom code preserve trace context.
When to avoid it — and what to weigh
- Serverless or event-driven architectures — Pinpoint's agent-based instrumentation model is designed for long-running processes. Deployment on AWS Lambda, Azure Functions, or similar short-lived compute may not fit the monitoring lifecycle or add significant cold-start overhead.
- Non-Java backend stack as primary focus — While Pinpoint supports PHP and Python via a separate C agent, primary development and plugin ecosystem target Java. Mixed-stack environments where Java is not the dominant runtime may face incomplete instrumentation and plugin gaps.
- Highly constrained resource environments — Although overhead is claimed at ~3%, agent-based instrumentation in memory-constrained containers or edge deployments may be problematic. Evaluate actual footprint for embedded or IoT scenarios.
- Requirement for SaaS-managed solution — Pinpoint is self-hosted only. Organizations without infrastructure for backend deployment, HBase storage, and collector/UI maintenance should consider SaaS alternatives (Datadog, New Relic, etc.).
License & commercial use
Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license permitting commercial use, modification, and distribution with minimal restrictions (requires license and copyright notice).
Apache-2.0 clearly permits commercial deployment and use. No proprietary restrictions or commercial licensing fees imposed by the project. Organizations must respect the license terms (include license notice, document changes) but face no usage-based fees or restrictions on internal or customer-facing use.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
Project does not publish security advisories or policies in provided data. Agent-based instrumentation runs with application JVM privileges; verify bytecode injection risk in your threat model. Network communication between agents and collector should use TLS in production; verify configuration options. No security audit or certification claims stated. Conduct security review of plugin implementations for your critical frameworks before production.
Alternatives to consider
Jaeger (open-source distributed tracing)
Cloud-native, Kubernetes-friendly, supports OpenTelemetry standard. Better for polyglot architectures but requires explicit instrumentation code; lower overhead in serverless.
Datadog APM
SaaS-managed, broader platform (logs, metrics, traces), lower operational overhead. Higher cost, vendor lock-in; no self-hosted option.
New Relic One APM
SaaS offering with auto-instrumentation agents for Java. Simpler ops, broader feature set (infrastructure monitoring, NRQL), but requires cloud account and subscription fees.
Build on pinpoint with DEV.co software developers
Pinpoint offers powerful, self-hosted distributed tracing with minimal instrumentation effort. Evaluate deployment requirements, HBase infrastructure planning, and plugin compatibility for your stack. Contact our DevOps team for proof-of-concept guidance.
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pinpoint FAQ
Does Pinpoint require code changes to existing applications?
What is the storage backend and scaling model?
Can I monitor non-Java applications with Pinpoint?
What is the performance overhead?
From evaluation to production software
DEV.co builds and maintains open-source observability systems for startups through enterprises. If pinpoint fits your architecture, our custom software development services cover implementation, migration, and the long tail of maintenance.
Ready to deploy APM for your Java microservices?
Pinpoint offers powerful, self-hosted distributed tracing with minimal instrumentation effort. Evaluate deployment requirements, HBase infrastructure planning, and plugin compatibility for your stack. Contact our DevOps team for proof-of-concept guidance.