Have you tried setting up your Kubernetes Cost Monitoring and ran into problems? Are you trying to improve your cloud cost optimization? Do you plan on using Kubernetes for your software deployment? You've come to the right place. This article will provide all you need to know about Kubernetes and its cost-monitoring system.
What is Kubernetes?
It is a system designed by google developers in 2014 to help organize and automate tasks with containers. It helps to eliminate some of the manual processes involved in deploying and maintaining containerized applications. Containers are software packages containing everything needed for the application to run smoothly. Containers are generally used by organizations that have a lot of workloads. The work of Kubernetes is to help run multiple containers on clusters of virtual or physical machines. Running multiple containers can prove expensive in this cloud business. One solution to this is the use of kubernetes cost monitoring system. The Kubernetes cost monitoring system is used to optimize cost by monitoring resource usage and allocation. Kubernetes also has an active open-source community, so organizations use it more often in running their businesses.
What is the Kubernetes Features?
Kubernetes has a lot of features that help orchestrate containers across various hosts. These features help it to optimize cost. These features are discussed below.
Automated Scaling
Kubernetes helps to scale containers based on their usage automatically. This helps in cloud cost optimization as you don't have to spend more than you need in your business. For example, Kubernetes uses a horizontal pod auto scaler to update a workload resource automatically to match demand. It has two methods of Scaling, which are
- Horizontal Scaling: This method involves deploying more pods to match increased workload demand. It also scales back down when workload demand has decreased.
- Vertical Scaling: Kubernetes utilizes a vertical pod auto scaler to assign more memory and CPU to the workload if demand has increased. Furthermore, if there is less demand for that workload, it frees up more memory and CPU space for other pods.
Life cycle Management
Kubernetes can automate deployments as well as updates. This means the applications can be rolled back to the previous version. Also, the applications can be paused if there is an issue and can be deployed later. There are a lot of different Kubernetes applications that cater to the needs of different organizations. One must state clearly the design of their platform and how it will operate before deciding on the platform to use.
Persistent Volume Storage
A persistent volume is a storage piece in a cluster that the administrator has provided. Due to the small relative size of containers, data has to be managed separately from containers. Also, the data has to persist over the container's life cycle. One way to solve this problem is the use of data volume containers. They help to serve as entry points for other containers to access data volume.
What is Kubernetes Cost Monitoring?
Cloud cost management is always very important for organizations. The use of Kubernetes is not an exception. To optimize cost while using Kubernetes, some things need to be considered. These things are discussed below.
Monitor Resource Allocation
For an organization to accurately monitor cloud costs, it is important to know the resources used and where they are allocated. It is also important to ensure you are not allocating only what is necessary for each application. Furthermore, the number of replicas for each application should be monitored to optimize costs. Another way to monitor resource allocation is to set resource limits and application requests.
Acknowledge Resource Usage
This means understanding how many resources your applications are using. Some of those resources include CPU, memory, network operations, and storage. This knowledge would help identify the key areas that can optimize resource usage. Consequently, it will reduce cloud costs.
Use Cost Management Tools
Various tools enable cost management for kubernetes systems. These tools also help to optimize costs by identifying critical areas for optimization. They also provide valuable insights into resource usage and allocations.
Understand Pricing Models for Cloud Providers.
Many cloud providers offer various pricing models. Some providers charge resources based on the memory used. On the other hand, some providers charge based on the amount of memory your application uses. Knowing what each provider uses for pricing can help optimize cost by ensuring your applications do not use more resources than necessary.
Utilize Resource Quotas
Resource quotas enable you to limit the resources used in your application. Using resource quotas means you will not have to worry about the over-allocation of resources to your applications. Administrators create resource quotas for a namespace. Users utilize resources in this namespace. In addition, these quota systems track resource usage and ensure it does not exceed the limit created by the administrator. These quotas will save your organization the trouble of incurring unnecessary costs.
Utilize AutoScaling
Autoscaling enables your applications to scale up and down depending on the demand. This means your application would not use the resources necessary. As a result, cloud cost is optimized. You can also set up auto-scaling rules like setting metrics on CPU and storage usage. Consequently, you can determine how efficient and costly you want your application to be.
Set Sleeping Schedules
Sleeping schedules are used to ensure underutilized clusters are terminated to optimize costs. Any development team using the kubernetes environment sets sleeping schedules to save costs, especially when no one is using it. The environment wakes up and continues when someone starts using it, so there is no loss of workflow.
Use Cost-effective Storage and Networking Options
Multiple storage options depending on your applications’ needs and budget. You can save costs using cheaper storage tiers if your application does not need much storage. You can also determine the right network option for your application. You can optimize network traffic or choose a cheaper network tier.
Conclusion
Kubernetes helps to automate many processes, but it can become expensive to run if some things are not monitored. Before utilizing cost monitoring, one must be aware of resource quotas, resource allocation, resource usage, network options, and storage costs. These tips will help you run your kubernetes cost monitoring smoothly. With this information, you can now set up your kubernetes cost monitoring. I wish you good luck on your journey.
