![]() When using Gitpod, you are getting a VS-Code-like IDE (based on Theia) accessible from your browser. Gitpod is a new IDE taking a cloud-first approach to cloud-native development. It’s not Kubernetes focused yet, but I’m sure that day is not too far down the road. Codespaces will empower you to migrate your development workload to the cloud in a (hopefully) seamless manner. You might also want to keep track of the launch of Github Codespaces. Going through the marketplace, you are likely to find many more niche plugins, some of which might support other tools you happen to be using. Unfortunately, the AWS plugin for VS Code deals mostly with Serverless workloads and only has minor support for Kubernetes. ![]() For GCP users, an appropriate plugin with a Kubernetes integration is available. With the thriving VS code marketplace, there are many other relevant plugins. The second is the Azure Kubernetes Service (still in preview), which offers a more profound integration with AKS clusters. The first, Bridge to Kubernetes, enables you to run a local application on your machine within the cluster’s network perimeter, potentially allowing you to create a local development and debugging environment. If you happen to be using the Azure Kubernetes Service for running your Kubernetes cluster, two new plugins may be of particular interest to you. It also contains a few more advanced features such as browsing Helm repositories, port forwarding, and remote container building/execution. This extension has all the basics, such as viewing and editing cluster objects, accessing logs, and running a remote shell. The official Kubernetes plugin is feature-rich. The VS Code marketplace is enormous and filled with high-quality plugins from Microsoft and many third-party vendors. VS Code is plugin-oriented, and extensions implement even the most elementary features such as Git integration and language-support. Visual Studio Code, the (relatively new) open-source IDE by Microsoft, is making waves in software development circles. The Azure and AWS plugin deal mostly with Serverless workloads, but GCP’s offers many capabilities for working with Kubernetes. On top of that, all the major cloud vendors have their plugins for JetBrains. Additionally, the plugin provides rich editor capabilities for working with Kubernetes manifests, Helm charts, and Kustomize patches. First and foremost, this plugin allows you to interact with Kubernetes clusters directly, viewing and editing cluster objects, seeing pod logs, and even running a remote shell. It has built-in support for building and debugging Docker containers, but for Kubernetes support, we have to look to the extensive plugin marketplace.įrom JetBrains, we have an official Kubernetes plugin. ![]() With eleven different products for all the major programming languages out there, they are my personal favorite.Īs a traditional IDE, IntelliJ focuses on providing you with the best possible experience as you are writing, building, and debugging code on your machine. JetBrainsĮver since launching the first version of IntelliJ in January 2001 (what a start of the century!) JetBrains has defined the gold standard for the industry with its line of IDEs. What IDEs support Kubernetes development, and how? Whether you are a fan of JetBrains, VSCode, Gitpod, or Lens you should check it out. In the meantime, I’ll dedicate this blog post to the set of tools that is closest to every developer’s heart. I hope I have been doing well so far, and I would love to hear some feedback from you. How do I write about the tools I have been using daily for years versus the tools I have never actually used?.Which tools are worth mentioning, and which are too niche or immature?.How do I categorize the tools in an easy-to-read manner?.Some of the questions I have been struggling with have been: That’s why section 3 will cover the heart of cloud-native development: the IDE. Going through the sprawling Kubernetes ecosystem and curating the knowledge that would be the most interesting to fellow developers and engineering managers has been no small task. Over the last few days, I have been hard at work writing an up to date comparison of Kubernetes tooling (check out the first and second posts if you haven’t already, which cover tools that help you reproduce issues locally).
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