Avoid 5 things if you are using Kubernetes in Production


Failing to ensure production grade infrastructure & fault tolerance: If you are creating kubernetes cluster for production then make sure that you are selecting production grade virtual machine nodes . If you are using dev/test grade virtual machine nodes in production then you are in trouble! If you are using nfs server for storing your logs of microservices then make sure that the nfs server is also production grade. It will be a best practice to use dynamic premium storage class based persistent volumes instead of nfs server. Enable minimum and maximum nodes according to your predicted production loads while creating the kubernetes cluster. Finally, make sure that your kubernetes cluster is available in multiple availability zones.

Neglecting Resource Management and AutoScaling: Kubernetes manages resources such as CPU, memory, and storage for your application containers. Neglecting resource management can lead to performance problems or even application failures. Make sure to properly define resource requests and limits for your containers to ensure efficient resource allocation and prevent resource contention. It's also recommended to enable Horizontal pod Autoscaler and Vertical Pod Autoscaler for your microservices.

Skipping Liveness and Readiness Probes: Liveness and readiness probes are essential for maintaining application health and availability in Kubernetes. Skipping or misconfiguring these probes can result in situations where unhealthy or unready containers are still considered operational, leading to poor user experience and potential service disruptions. Always define and configure liveness and readiness probes appropriately for your application.

Failing to Monitor and Debug: Kubernetes provides various monitoring and logging mechanisms that can help you understand the behavior of your applications and the cluster itself. Failing to implement proper monitoring and debugging practices can make it challenging to identify and resolve issues when they occur. Establish a robust monitoring and logging strategy from the beginning to aid troubleshooting and performance optimization.

Faulty Configuration in Internal or External Reverse Proxy and Loadbalancer: Misconfiguration and Failing to implement accurate ingress rules, backend configuration, listeners, healthprobes, backend pool, settings etc. can make the situation worse and can take you to the troubleshooting maze.

By avoiding these common mistakes and following best practices, you can navigate Kubernetes more effectively and prevent yourself from falling into Kubernetes hell.

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About Ashadullah Shawon

I am Ashadullah Shawon. I am a Software Engineer. I studied Computer Science and Engineering (CSE) at RUET. I Like To Share Knowledge. Learn More: Click Here
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