The growth of containerization and especially Kubernetes in
recent years has been nothing short of extraordinary. A CNCF
survey points out that Kubernetes in production witnessed a
robust 93% growth in 2020 compared to 2019.
The same survey shows that containers used in production had a growth of 300% in 2020 compared to 2016.
One of the key reasons why companies switch to the cloud is to save cost, but in some cases, businesses have seen
costs going up further. A potential cause for this cost increase could be over-provisioning and improper asset
Running Kubernetes for the first time can be expensive if the setup is not efficient. Here are 8 ways by which our
engineers optimize Kubernetes to reduce costs for the business.
1. Cost Monitoring
The first rational step in Kubernetes cost reduction is to monitor and track the usage. With monitoring, you can
identify opportunities and areas where costs can be reduced or optimized. Though most of the cloud providers offer
a billing and usage summary of Kubernetes that is not sufficient for in-depth monitoring. We recommend using a
dedicated third-party tool developed especially for Kubernetes monitoring.
Here are some of the tools namely Prometheus, Kubecost, Microtica, and Replex. Once you install the apt tool for
your system, you should be able to monitor usage and reduce costs.
2. Set Resource limits
It is critical that the developers set and restrict resource usage upfront for each and every program. This will ensure
proper consumption of resources and will never throw any shocks with respect to billing change. Setting resource
constraints will ensure that no program of the Kubernetes can use extra processing power that might result in
inflated costs. Just a word of caution, don't be over-conservative and impose very low restrictions, this might
degrade the performance of the software.
Read full content [https://www.taffinc.com/blog/8-steps-for-effective-kubernetes-cost-optimization/]