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Library · platform
Kubernetes
Run containers reliably across machines: deployments, services, probes, resources, rollouts, autoscaling and day-two operations.
Kubernetes appeared in 80% of the DevOps and Platform Engineer, 62% of the Cloud and Network Engineer and 54% of the Software Engineer postings we read.
Manifests here are validated with kubeconform against the Kubernetes 1.34 schemas, and the container they run was tested with the same hardening in Docker. Practise on a local cluster with kind or minikube.
Beginner lessons for Kubernetes are being written.
- 1IntermediateGitOps delivery to Kubernetes with Helm and Argo CD
- 2IntermediateMonitoring, SLOs and alerts that wake the right person
- 3IntermediateZero-trust networking for a microservices app on Kubernetes
- 4AdvancedA golden path: a service template with everything built in
- 5AdvancedA secure software supply chain with policy as code
- 6AdvancedE-commerce microservices on Kubernetes that survive failure
- 7AdvancedHigh availability and disaster recovery you have tested
- 8AdvancedRun a game day: break things, respond, write the postmortem
- 9AdvancedSafe deploys with canaries and automatic rollback
- 10AdvancedServe a model on Kubernetes with autoscaling and a safe rollout