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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.
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### For the install instructions and usage examples please see [docs.flagger.app](https://docs.flagger.app)
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### Documentation
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Flagger documentation can be found at [docs.flagger.app](https://docs.flagger.app)
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* Install
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* [Flagger install on Kubernetes](https://docs.flagger.app/install/flagger-install-on-kubernetes)
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* [Flagger install on GKE](https://docs.flagger.app/install/flagger-install-on-google-cloud)
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* How it works
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* [Canary custom resource](https://docs.flagger.app/how-it-works#canary-custom-resource)
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* [Canary deployment stages](https://docs.flagger.app/how-it-works#canary-deployment)
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* [Canary analysis](https://docs.flagger.app/how-it-works#canary-analysis)
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* [HTTP metrics](https://docs.flagger.app/how-it-works#http-metrics)
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* [Webhooks](https://docs.flagger.app/how-it-works#webhooks)
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* [Load testing](https://docs.flagger.app/how-it-works#load-testing)
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* Usage
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* [Canary promotions and rollbacks](https://docs.flagger.app/usage/progressive-delivery)
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* [Monitoring](https://docs.flagger.app/usage/monitoring)
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* [Alerting](https://docs.flagger.app/usage/alerting)
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This project is sponsored by [Weaveworks](https://www.weave.works/)
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