Latest Release (2025/06/12)

We're happy to announce the release of Pinpoint v3.0.4. Please check the release note at (https://github.com/pinpoint-apm/pinpoint/releases/tag/v3.0.4).

The current stable version is v3.0.4.

Live Demo

Take a quick look at Pinpoint with our demo!

PHP, PYTHON

Pinpoint also supports application written in PHP, Python. Check-out our agent repository.

About Pinpoint

Pinpoint is an APM (Application Performance Management) tool for large-scale distributed systems written in Java / PHP/PYTHON. Inspired by Dapper, Pinpoint provides a solution to help analyze the overall structure of the system and how components within them are interconnected by tracing transactions across distributed applications.

You should definitely check Pinpoint out If you want to

understand your application topology at a glance
monitor your application in Real-Time
gain code-level visibility to every transaction
install APM Agents without changing a single line of code
have minimal impact on the performance (approximately 3% increase in resource usage)

Getting Started

Quick-start guide for simple test run of Pinpoint
Installation guide for further instructions.

Deploying Pinpoint to Kubernetes

pinpoint-kubernetes

Overview

Services nowadays often consist of many different components, communicating amongst themselves as well as making API calls to external services. How each and every transaction gets executed is often left as a blackbox. Pinpoint traces transaction flows between these components and provides a clear view to identify problem areas and potential bottlenecks.<br/> For a more intimate guide, please check out our Introduction to Pinpoint video clip.

ServerMap - Understand the topology of any distributed systems by visualizing how their components are interconnected. Clicking on a node reveals details about the component, such as its current status, and transaction count.
Realtime Active Thread Chart - Monitor active threads inside applications in real-time.
Request/Response Scatter Chart - Visualize request count and response patterns over time to identify potential problems. Transactions can be selected for additional detail by dragging over the chart.
CallStack - Gain code-level visibility to every transaction in a distributed environment, identifying bottlenecks and points of failure in a single view.
Inspector - View additional details on the application such as CPU usage, Memory/Garbage Collection, TPS, and JVM arguments.
URI-metric
Infrastructure
Error-Analysis