Access to production and temporary clusters created during testing or development of complex features should be separated.įirst, we will cover the initial setup and configuration of: Role-based access control (RBAC) for all platform users.Local secure artifact storage to keep all Docker images deployed in the Kubernetes cluster (it can be Nexus or Artifactory).If a high error rate is detected (or “higher than usual,” in the case of a hotfix release for a partially unstable production service which already had some errors or warnings in its log), the deployment can be rolled back Additionally, the post-deploy error message rate in Kibana/Elasticsearch can be monitored. These thresholds can be based on metrics collected by Prometheus: if a new release works well, the pull request is merged. Simple deployment rollbacks should be automated based on thresholds.Build and deployment pipelines should be built as code in version control and automatically tested when changes are introduced into the pipeline.(You can easily launch or decommission a fully functional Kuberentes cluster through Kublr’s API). Even those which replicate a full stage or production environment through a new on-demand Kubernetes cluster if required by test results. Pipelines for QA engineers that run any type of testing (automatic or manual).Every commit should result in a new automated build of a relevant service followed by any necessary tests.
We developed a list of tools and best practices that will allow them to iterate quickly, get instant feedback on their builds and failures, and experiment: We’ll use Kublr to manage our Kubernetes cluster, Jenkins, Nexus, and your cloud provider of choice or a co-located provider with bare metal servers.Ī common goal of SRE and DevOps practitioners is to enable development and QA teams. This is the first in a series of tutorials on setting up a secure production-grade CI/CD pipeline.
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