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How to Optimise Kubernetes Costs?

The increasing popularity of cloud-native applications has brought technologies like microservices and containers to the frontline. Kubernetes is the most preferred container orchestration platform by most enterprises for automating the deployment, scaling, and management of containers.

Most of the Kubernetes implementations thrive to focus on technical aspects and are least bothered by the costs involved with their benefits. In a recent survey from the Cloud Native Computing Foundation (CNCF), 68% of participants reported that their Kubernetes costs increased in the past year, with bills surging more than 20% year-on-year for most organisations. So, how to optimise Kubernetes costs?

How much has your Kubernetes-related spend grown in the last 12 months?

  Source:  FinOps Foundation survey

When looking at optimising the infrastructure costs, enterprises consider various cost-management best practices, but Kubernetes require a specialised approach. Here we will discuss some of the key aspects to reduce overall Kubernetes costs.

  • Size of the infrastructure as per the need:
  • First and foremost, reducing the consumption costs is to have the correct infrastructure size in terms of pods and nodes. While it is always advisable to overprovision to cater to the unusual spikes, leaving the applications to use unlimited resources can lead to unexpected repercussions. For instance, a stateful database container consumes all the available memory in the node due to an application fault; this leads other pods to wait indefinitely for the resources. This can be prevented by setting up Quotas at Pod and namespace levels.

    Additionally, it is good to enforce the resource request limits at a container level. Other enforcement is to limit the number of pods running on a node, as running many pods can lead to inefficient resource utilisation. Due to this issue, most cloud providers have set hard limits on their managed instances if Kubernetes.

    Choosing the right tools:

    A fundamental way of managing any cloud or infrastructure costs is by monitoring utilisation and costs involved for the resources over a period. It allows users to get better insights into storage, memory, computing, network traffic utilisation, etc, and how the costs associated are distributed between them.

    Irrespective of managed instances or bare-metal clusters, today, almost all the clusters support one or other tools for monitoring to get the basic information. Suppose we are looking at an enterprise with many clusters. In that case, it is always advisable to have a propriety APIM tooling like Dynatrace, New Relic, App D, Splunk, and Prometheus and so have a proper drill-down of the resources and utilisation. It enables SREs and Kubernetes admins to gain a more comprehensive view of the environment and optimise the costs.

    Use the monitoring insights to analyse and create actions. And start implementing more concrete actions for better utilisation and cost optimisation. 

    Adopting the Best Practices Across the Delivery Pipeline:

    DevOps is a proven practice which helps to reduce the barriers between the Development teams and Operations. It allowed users to create robust and flexible deployments through pipelines. One of the possibility of reducing the time and effort to deploy containers to the Kubernetes cluster is to automate the build and deployment pipelines using CI/CD tooling. Also, practices like GitOps are tailor-made to facilitate continuous delivery when manifests are used and version-controlled in a source code repository, greatly reducing the deployment workloads of the team.

    An Initial investment will be needed to set up a continuous integration to build, test, and publish containers and continuous delivery to deploy these containers on the cluster. Tools like Harness Argo CD will significantly reduce the manual errors that can cause disruptions in the application, leading to less troubleshooting. This reduced workload will allow teams to focus on more valuable tasks such as functionality development, bug fixes, and improving the security posture of the environment.

    Conclusion:

    Kubernetes deployments and operations can be very costly if implemented and managed inefficiently. Most enterprises incorporate Kubernetes without any proper practices, tooling, and personal experience in the organisation. However, without proper guidance, it is often will become unoptimised and businesses don’t think about expenses forefront and will be a heavy operational burden in the long run. Considering the above-mentioned practices could save a lot of unnecessary Kubernetes costs and encourage the implementation of best practices from the beginning.

    TL Consulting

    TLConsulting brings its consulting and engineering personnel to application modernisation adoption and implementation by providing range of services – as If you need assistance with your Containers/Kubernetes adoption, please contact us at our kubernetes consulting services  page.