Some organizations have hundreds of small containers across many different servers in different development, test, and production environments. This can be tricky to manage, which is why companies have turned to Kubernetes for container orchestration. By Craig Risi.
This has made Kubernetes not only a vital part of many development pipelines but also a central system and potential performance bottleneck that needs to be managed and balanced to ensure optimized performance.
The article deals with:
- How to set up a load balancer on Kubernetes
- Enable the readiness probe on a deployment
- Enable the readiness probe on a deployment
- Enable CPU/Memory requests and limits
- Flag when RBAC rules change
- Control the container images deployed into your cluster
- Apply network policy to your deployments
- Flag any service account changes
- Adjusting POD toleration
Applying Security Groups policies to your VMs or your Kubernetes worker nodes is considered essential to security. We should do the same with Kubernetes workloads. And load balancing is essential to keeping your Kubernetes clusters operational and secure at a large scale.Good read!
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