Skip to main content
P

Pyroscope

Pyroscope provides an open-source continuous profiling platform for debugging performance issues across code and infrastructure. It uses low-overhead agents to collect high-cardinality profiling data efficiently for analysis. The platform supports various languages and integrates with observability tools like Grafana and OpenTelemetry tracing.

Oakland, United States2300+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Identifying and resolving performance bottlenecks in applications can be challenging, especially in complex environments with diverse programming languages and infrastructure. Traditional methods often lack real-time visibility and the ability to correlate performance issues across different layers of the stack.

Solution

Pyroscope is an open-source continuous profiling platform designed to provide developers with real-time insights into application performance. By continuously monitoring CPU and memory resource usage across various programming languages and infrastructure components, Pyroscope enables teams to proactively identify and debug performance bottlenecks before they impact end-users. The platform features low-overhead agents that allow users to tag data on dimensions relevant to their organization, a highly efficient storage engine for managing large volumes of high-cardinality profiling data, and a profile-specific query engine (FlameQL) for quick and efficient analysis. Pyroscope integrates with existing observability tools, enhancing signals with request-specific profiles to improve debugging.

Target Audience

Pyroscope is designed for developers, DevOps engineers, and SREs who need to monitor and analyze application performance in real-time to identify and resolve bottlenecks.

Features

  • Low-overhead agents for tagging data on organization-specific dimensions
  • Highly-efficient storage engine for large-scale, high-cardinality profiling data
  • FlameQL query engine for custom queries and efficient profile aggregation
  • System-wide continuous profiling to understand CPU and memory usage at any point in time
  • Ad hoc profiling scripts for collecting and analyzing profiles from external tools
  • Profile exemplars to link OpenTelemetry tracing data with request-specific profiles
  • Integrations with Honeycomb, Jaeger, Grafana, AWS Lambda, Prometheus, and Slack
  • Support for multiple programming languages, including Go, Java, eBPF, Python, Ruby, NodeJS, .NET, PHP, and Rust
This profile is AI-generated and may contain inaccuracies.