Kubernetes provides different built-in tools to manage virtual machines within a build application. The platform helps make work more productive and efficient by isolating sections of an application into containers. Below are six ways to optimize your Kubernetes distribution to operate in your best interest.
Use a management platform
Kubernetes continues to increase demand as many in the market adapt it to their business. Since Kubernetes has a wide range of established solutions, a single Kubernetes cluster cannot correctly handle the entire application load alone.
So, multiple Kubernetes clusters are the best to distribute workload across many end-users. In such a case, a Kubernetes management platform will aid you in maintaining a bird’s eye view of the distribution. Using a Kubernetes management platform, you can unite your clusters the same way that clusters unite containers.
Use multiple primary nodes
Using many primary nodes will optimize your availability of Kubernetes cluster distribution. These primary nodes give you a Kubernetes boost that ensures your clusters do not fail. Thus, your cluster is still intact when one node fails, unlike using a single node. Many primary nodes also enable you to host various essential Kubernetes components that help enhance your customer experience.
Deploy clusters closer to customers
Before deploying the Kubernetes clusters, research the end-user location zones. For that reason, closing Kubernetes to the users will help improve the customer experience. There are various public cloud distribution software-as-a-service providers for different zones, such as:
- Google Kubernetes Engine (GKE)
- Azure Kubernetes Service (AKS)
- Amazon Elastic Kubernetes Service (EKS)
When deciding which provider best suits your needs, consider the limitations on cost and latency. You can locally deploy as you continue to plan and strategize based on impacts on the service level goal feedback.
Kubernetes cluster monitoring
Monitoring your clusters ensures your traffic and configuration are safe, correct, and of the recommended standard. When monitoring, hence, you can identify areas that need improvements and accordingly plan. As you set up log tools, you should ensure that they can provide visualization of data collected for straightforward interpretation.
Set resource constraints
For efficient resource use, defining your resource constraints will aid your schedulers. They will best optimize the Kubernetes distribution resources given for specific workloads. You can limit memory storage, CPU, and other available resources.
For big organizations, teams share clusters on-premises in private clouds. Team members can distribute these resources to ensure each team has a resource that they can maximize to perform well. The constraints will differ on the application options your company chooses. The choice that suits the company’s needs will also vary as per the provider’s set of options in the application.
Protect your etcd data
Protect your etcd as it is the memory of Kubernetes. All the configuration information for your deployments is here. Regular backups to an external host will help in preserving your data. You can copy or take snapshots of your file from the external database. If your etcd has a technical malfunction, you can quickly recover your data.
Wrap Up
Kubernetes distribution software offers a wide range of uses. Kubernetes is becoming a popular orchestration engine among many. Thus, optimizing the distribution will make your job more manageable. Also, it will offer solutions for your workloads, making your company above all the competition.
