Kubernetes has revolutionized the way applications are deployed and scaled, and Kubernetes services are a fundamental component of its networking model. Kubernetes services provide a stable endpoint for communication by abstracting away the details of pod IP addresses.

Multi-tenant Kubernetes environments allow a single cluster to be shared by several teams, applications, customers, or environments. Workloads are isolated from each other; they reside in individual slices of the cluster.

Kubernetes requests and limits define the amount of CPU and memory that pods and containers are able to consume. Setting appropriate requests and limits on your pods prevents resource contention and helps ensure efficient scheduling to your cluster’s nodes.

If you are running a Kubernetes cluster, you probably need an ingress controller. An ingress controller is a Kubernetes resource responsible for overseeing external access to the services within your cluster.

When dealing with Kubernetes workloads, external access to applications running in the cluster is often needed. Kubernetes gives you a few ways to achieve this. You could manually configure a NodePort or LoadBalancer service.

Ingress is an essential Kubernetes API object that manages external access to services within a cluster, typically via HTTP, and is aimed at providing routing configurations.

In recent years, Kubernetes has become the standard in container orchestration. Originally designed by Google, it outran its competition. It’s much more popular than OpenShift Container Platform and Apache Mesos.

Container deployment has become popular among many engineers, with Kubernetes being their go-to management tool. However, it can be difficult to optimize costs when dealing with multiple Kubernetes clusters.

Running Kubernetes can be very expensive, especially when it is done inefficiently. This is often the case when companies have just started to roll out Kubernetes in their organizations as then the same configuration and setup are often used that worked well for initial test projects or small applications.

Kubernetes (K8s) has transformed how organizations deploy, manage, and scale containerized applications. As an efficient container orchestration platform, K8s simplifies complex operations while improving overall application performance.

Platform engineering is the process of designing, developing, and using tools and infrastructure in a way that empowers developers to maximize their development efforts. In short, platform engineers enable developer self-service and, by doing so, reduce the time to bring about new features and product improvements.

A Pod is the smallest unit of a Kubernetes deployed cluster. Pods are imperative entities, and the Kubernetes ecosystem needs them to function. Kubernetes uses a container to package dependencies and resources required to run an application.