Kubernetes is ruling the container market. According to a CNCF survey, the use of Kubernetes in production in 2020 was 93%, up from 78% in 2019. However, the problems most often listed in surveys include networking, storage, tracking, surveillance, a lack of preparation, and, of course, cost management. By Sara Miteva.
Running Kubernetes can be very costly, especially if done inefficiently. When businesses first try to incorporate Kubernetes in their organizations, they usually use the same architecture and setup that performed well with initial research experiments. However, this setup is often unoptimized and companies don’t think about expenses right away. This could save a lot of unnecessary costs and encourage the implementation of good habits from the beginning.
The content of the article:
- Kubernetes cost monitoring
- Limiting resources
- Autoscaling
- Choose the right AWS instance
- Use spot instances
- Set sleeping schedules
- Practice regular Kubernetes cleanup
- Right-size your Kubernetes cluster
- Tag resources
… and more. The first step in your Kubernetes cost optimization is to create an outline and begin monitoring them. Then, to avoid unnecessary computational resource usage, you can set limits, which would make the costs more manageable. Incorporating these tips into your processes will result in a cost-optimized Kubernetes system. Good read!
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