Continuous Profiling in Kubernetes Using Pyroscope

• microservices-demo

  31 15,744 9.7 Go

  Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.

  

Now we have Pyroscope running in our Kubernetes cluster, we will proceed with the steps of using the application with it. We will be using Google microservices, for this demo.

• pyroscope

  56 7,382 9.6 Go

  Discontinued Continuous Profiling Platform. Debug performance issues down to a single line of code [Moved to: https://github.com/grafana/pyroscope] (by pyroscope-io)

  

Pyroscope is an open source platform, consisting of server and agent. It allows the user to collect, store, and query the profiling data in a CPU and disk efficient way.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• microservices-demo-dev

  1 3 0.0 Python

  Sample cloud-native application with 10 microservices showcasing Kubernetes, Istio, gRPC and OpenCensus. Provided for illustration and demo purposes.

  

We will be working on Python, Go, and .NET microservice from Google microservices for the demo. All the modifications are pushed to the fork of Google microservices on GitHub, let's take a look at those changes per serivce.

• parca

  18 3,811 9.9 TypeScript

  Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.

  

Parca collects, stores and makes profiles available to be queried over time. It is open source and can be deployed on production environments as Parca focuses on sampling profiling two main types of profiles: tracing and sampling.

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