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Stefan Prodan
2019-01-30 15:08:07 +02:00
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@@ -8,6 +8,8 @@ Flagger implements a control loop that gradually shifts traffic to the canary wh
indicators like HTTP requests success rate, requests average duration and pods health. Based on the KPIs analysis
a canary is promoted or aborted and the analysis result is published to Slack.
With Flagger you don't have to worry about keeping code and configuration changes in sync. Flagger keeps track of ConfigMaps and Secrets referenced by a Kubernetes Deployment and triggers a canary analysis if any of those objects change. When promoting a workload in production, both code (container images) and configuration (config maps and secrets) are being synchronised.
### For the install instructions and usage examples please see [docs.flagger.app](https://docs.flagger.app)
This project is sponsored by [Weaveworks](https://www.weave.works/)