Mohammed NaserFor companies adopting Kubernetes, there are three strategies that can improve their cost management. Here is a look at them.
While many companies adopt K8s, some of them struggle with Kubernetes cost management. Kubernetes and container technology have found a niche space in the cloud industry, and many businesses use them. For companies adopting Kubernetes, there are three strategies that can improve their cost management. Here is a look at them
1. Defining Targets with Kubernetes Cost Management
Automation and scaling are significant advantages of cloud computing. Managing cloud, Kubernetes, and containers bring together resource allocation, autoscaling, and the right cloud instances. With the help of cloud providers, users can deploy containers in several modes, including running on dedicated instances and using internal services. This choice lies with the IT team. However, they must define their targets in advance to have better cost management with Kubernetes.
2. Right-sizing Environments
Right-sizing an environment means when the number and types of resources available are suitable for the IT roadmap addressed by the enterprise with cloud, K8s, or containers. To control this, you need careful resource management on standby for various purposes such as failover or scaling.
Right-sizing environments are often not very well-defined but can be instinctive. Balancing all aspects of performance with costs is essential here. Companies must always keep an eye out for the potential reaches ahead.
3. Resource Limitations
Limiting resources is an exciting aspect of Kubernetes cost management. People have a misconception that all automated things or things without a direct connection to hardware are free. Kubernetes can affirm this misconception. Automation is not the answer for all questions, only the relevant ones. Suppose IT teams push their deployed platform to the limits, then it poses a challenge between cost and resource availability. Since Kubernetes facilitates autoscaling, it can be a solution when it comes to resource limitations.
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