Lens stands out from other similar solutions because it unifies the Dev and Ops aspect of a team. This makes it easy to switch between clusters while maintaining the correct context and endpoint of that Kubernetes cluster. Lens enables multi-cluster management that helps connect any Kubernetes cluster regardless of the distribution as long as it is a certified cluster. ![]() The open-source tool was built to give operators, developers, and every member on a team the situational awareness of everything happening within a Kubernetes cluster. Lens, the source of a Mirantis-sponsored open source project, is perhaps the most widely used IDE for Kubernetes development, so much so that it is being termed as “the Kubernetes IDE”. Most IDEs provide an interface that allows you to monitor and view information about your cluster resources without having to run CLI commands. IDEs can gather all the necessary information and help us work across different contexts. ![]() Executing all this from the command line can be difficult since context switching tends to be a time-consuming process that breaks workflow. And managing multiple Kubernetes clusters spread across different platforms means dealing with the added difficulties of diverse access contexts, nodes, infrastructure, components, etc. Kubernetes entails interacting with clusters via CLIs that consume and retrieve numerous files in multiple contexts detailing the cluster and resource condition. Kubernetes IDE speeds up the process of writing, debugging, and deploying container-based applications. This simplifies the complex process of building, deploying, and managing a Kubernetes infrastructure. Why is a Kubernetes IDE necessary?Ī Kubernetes IDE (Integrated Development Environment) helps develop Kubernetes applications, create Kubernetes environments, and create and manage Kubernetes resources remotely. When a context is set to a particular cluster and namespace, it eliminates the need to mention parameters in every command. This concept only applies in the place where the kubectl command is run.Ī Kubernetes context consists of a cluster, a namespace, and a user and is the configuration used to access a specific cluster and namespace with a user account. It is the connection to a particular cluster used by kubectl. ContextĪ Kubernetes context is used to group access parameters under an easily recognizable name in a kubeconfig file – a file used to configure access to clusters. ![]() Every Kubernetes resource can only be in one namespace and there is no need to use various namespaces to distinguish slightly different resources. Although the names of resources need to be unique within a namespace, they can vary across namespaces. It is a logical partition inside a particular cluster that helps manage and divide cluster resources among multiple users. Namespace in Kubernetes presents a system to isolate groups of resources within a single cluster. What is namespace and context in Kubernetes? Namespace Worker nodes run the actual applications deployed by a developer. A master and its controlled worker nodes make up a Kubernetes cluster. The master node maintains the desired state of the cluster and when a list of apps is submitted to the master, Kubernetes deploys them to the worker nodes. Kubernetes follows the client-server architecture where the system has a master node and any number of worker nodes. It assists in load balancing, automates rollouts and rollbacks, and consists of self-healing capabilities. Kubernetes abstracts away the underlying complex infrastructure and simplifies development by providing a declarative configuration. It allows you to automate deployment, scaling, monitoring, and management. Kubernetes is an open-source container orchestration tool designed to run distributed applications and services at scale. Continue reading to find out how! A brief introduction to Kubernetes Essentially, this is where an IDE can step in and prove to be a life saver for developers. But there is a catch! Although Kubernetes simplifies the process of container orchestration, its infrastructure and objects are fairly complicated and cumbersome. ![]() Against this backdrop, the significance of container orchestration tools like Kubernetes has grown rapidly. And why wouldn’t it be? The past two years have seen a rapid migration of workloads to containerized environments at exponential scales. Kubernetes has been the talk of the town for a while now.
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