https://github.com/intuit/foremast

Foremast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable
https://github.com/intuit/foremast

anomaly-detection application-monitoring kubernetes machine-learning observability remediation

Last synced: 9 months ago
JSON representation

Foremast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable

• Host: GitHub
• URL: https://github.com/intuit/foremast
• Owner: intuit
• License: apache-2.0
• Created: 2018-12-11T10:37:15.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2023-06-03T10:05:24.000Z (almost 3 years ago)
• Last Synced: 2025-01-24T07:57:13.989Z (about 1 year ago)
• Topics: anomaly-detection, application-monitoring, kubernetes, machine-learning, observability, remediation
• Language: Java
• Homepage: https://foremast.io
• Size: 96 MB
• Stars: 133
• Watchers: 16
• Forks: 37
• Open Issues: 52
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: code-of-conduct.md

Awesome Lists containing this project

• awesome-kubernetes-configuration-management - foremast
• awesome-java - Foremast