https://github.com/profefe/kube-profefe

continuous profiling made easy in Kubernetes with profefe
https://github.com/profefe/kube-profefe

golang kubernetes performance pprof

Last synced: 4 months ago
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continuous profiling made easy in Kubernetes with profefe

• Host: GitHub
• URL: https://github.com/profefe/kube-profefe
• Owner: profefe
• License: mit
• Created: 2019-12-05T13:32:00.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-10-31T15:14:44.000Z (over 4 years ago)
• Last Synced: 2024-09-29T05:30:06.851Z (4 months ago)
• Topics: golang, kubernetes, performance, pprof
• Language: Go
• Homepage: https://kubernetes.profefe.dev/
• Size: 9.14 MB
• Stars: 78
• Watchers: 5
• Forks: 15
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Awesome Lists containing this project

• awesome-kubectl-plugins - kube-profefe - profefe)](https://github.com/profefe/kube-profefe/stargazers) | (kubectl Plugins / Installing plugins via awesome-kubectl-plugins)

README

        
[Profefe](https://github.com/profefe/profefe) is a project developed by

[@narqo](https://github.com/narqo). I was looking for a solution to do

continuous profiling and I realized his code was well abstracted and comfortable

to extend. The API server was already done and I decided to write an integration

with Kubernetes.

The documentation is located to [./docs/content/docs](./docs/content/docs) or to

[kubernetes.profefe.dev](https://kubernetes.profefe.dev).

## Install

[./docs/content/docs/installation.md](./docs/content/docs/installation.md)