Datadog APM
Cloud APM with code-level distributed tracing and correlation to logs/metrics.
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Real-time tracing and topology for large-scale Java, PHP, Python services
Pinpoint provides real-time application performance monitoring, visualizing distributed system topology, code-level transaction traces, and resource metrics for Java, PHP, and Python without code changes and with minimal overhead.
Pinpoint is designed for DevOps, SRE, and engineering teams that manage large‑scale microservice architectures written in Java, PHP, or Python. It offers instant visibility into transaction flows across distributed components, helping identify bottlenecks and failures without modifying source code.
The platform visualizes system topology via ServerMap, tracks active threads in real time, and presents request/response patterns with scatter charts. Detailed CallStack views give code‑level insight, while the Inspector panel reports CPU, memory, GC, TPS, and JVM arguments. Built‑in modules cover URI metrics, infrastructure health, and error analysis. Agents automatically instrument supported frameworks and databases, adding roughly 3 % overhead.
Pinpoint can be started with a quick‑start guide or deployed at scale using the provided Kubernetes manifests (pinpoint‑kubernetes). It runs on JDK 8+ and aligns with collector versions as documented. Comprehensive installation and compatibility tables ensure smooth integration into existing environments.
When teams consider Pinpoint, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Identify latency bottlenecks in a multi‑service transaction
Pinpoint visualizes the call chain, highlighting slow nodes and thread usage, enabling targeted optimization.
Monitor real‑time health of a Kubernetes‑deployed microservice fleet
ServerMap and active‑thread charts show live status, alerting operators to spikes before users are impacted.
Debug intermittent errors across heterogeneous services
Error‑analysis view correlates exceptions with specific endpoints and code locations for rapid root‑cause resolution.
Assess resource consumption during peak traffic
Inspector panel reports CPU, memory, GC, and TPS per service, guiding capacity planning.
No, agents instrument supported runtimes automatically; deployment is configuration‑only.
Pinpoint requires JDK 8 or newer; collector and web components follow the version matrix in the documentation.
Yes, a ready‑made helm chart (pinpoint‑kubernetes) is provided for easy installation.
Typical overhead is around 3 % of CPU and memory usage.
Pinpoint is self‑hosted; no official SaaS offering is provided.
Project at a glance
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