Top 7 Kubernetes Practices To Implement In 2023
One of the greatest container orchestration technologies is Kubernetes (k8s), which is why its use is increasing quickly. Automation is among the key causes. In addition, Kubernetes offers a wide variety of benefits, including workload discovery, self-healing, scalability of containerized applications, and eventual IaC.
We’ve outlined several essential Kubernetes best practices in this post, which you can use to enhance the security, efficiency, and cost of your Kubernetes setup.
Top Kubernetes Practices in 2023
Maintain Configuration Information Within Kubernetes Deployments
Deployment files are used to design Kubernetes workloads. These files instruct Kubernetes on how to deploy each container (or group of containers) you wish to use to execute an application. The majority of parameters that affect how an application behaves—such as the number of resources it needs and the networking configurations it requires—can be specified in the deployment file.
Moreover, you have the option of defining these variables elsewhere, such as in the container images you create for your application. To maintain consistency with your setups, it is wiser to centralize configuration data inside Kubernetes installations. As a result, application performance is predictable and there is less chance that setup mistakes or oversights would result in unfavorable application behavior.
Updating the Configuration/Manifests
It is important to store all-config files, such as those for deployment, services, and ingress, in your preferred version control system since we are all steadily transitioning to GitOps.
This makes it easier to monitor who made changes and what they were, and it also makes it easier in emergencies to undo changes and restart, recreate, or restore your cluster to maintain stability and security.
If you are the owner of a company, then you do not have to hire people and place them in the office for such services, because you can use Kubernetes enterprise support and professionals will help you on an outsourcing basis.
Isolate Kubernetes Nodes
Nodes for Kubernetes must be on a different network and shouldn’t be directly accessible from open networks. Even better, stay away from direct connections to the main corporate network.
Only if control and data traffic in Kubernetes is segregated is this feasible. If not, both pass over the same pipe and unrestricted access to the control plane follows unrestricted access to the data plane. Nodes should ideally be set up with ingress controllers that are configured to only permit connections from the master node on the designated port through a network access control list (ACL).
Employ Liveness and Readiness Probes
To prevent pod failures in the future, you should use Kubernetes check probes like the readiness and liveness probes. For instance, before allowing traffic into a pod, Kubernetes conducts a readiness probe to see whether the application can manage the load. Moreover, Kubernetes does a health check using a liveness probe to make sure the application is responsive and will function as expected.
Make Use of Annotations and Labels
Finding and organizing the things in your cluster becomes more challenging as it expands in size. You may add meaningful and pertinent information to cluster objects using labels, which are key/value structures allocated to objects. This enables bulk categorization, finding, and manipulation of cluster items. With labels, you can tell whether a pod is front-end or back-end and whether it’s part of a production or canary deployment.
Namespaces Make Resource Management Easier
Namespaces assist your team in logically dividing a cluster into sub-clusters. When you wish to share a Kubernetes cluster with many projects or teams at once, this is quite helpful. By using namespaces, you may, for example, let development, testing, and production teams to collaborate on the same cluster concurrently without affecting or overwriting one another’s work.
Three namespaces are immediately available with Kubernetes: default, Kube-system, and Kube-public. Several namespaces that are conceptually distinct from one another but may nevertheless communicate can be supported by a cluster.
Put Up Automatic Surveillance
Monitoring is essential for finding problems and managing resource utilization in your cluster. Cluster problems may make your product operate worse, cost you more to run, and in the worst scenario, result in outages. You’ll be able to recognize these issues more quickly and comprehend their origins thanks to monitoring.
The usage of Kubernetes, a well-liked containerization system, is rising. The use of it effectively, however, requires careful evaluation of your processes and departmental best practices.