![]() In this tutorial, we’ll build on a sample application that was introduced in a previous article. Tutorial: IntelliJ + Telepresence = Easy Java K8s Debugging Step 1: Deploy a Sample Java Microservice Application Let’s now walk through an example of how to set all of this up. Telepresence also allows for the easy exporting of environment variables, which you can load into your local IDE or debugger. your service can connect to other remote services simply using the K8s Service names and ports. By setting up a two-way proxy between your local machine and remote Kubernetes cluster you can debug services locally as if they were running in the cluster i.e. Telepresence can be used to overcome both of these challenges. However, the challenge here is that often the environment variable configuration for your service is only available in the Kubernetes cluster. This means you can debug your copy of the service without needing to connect your debugger to the remote cluster. You can use `kubectl port-forward` to set up a local connection to a specific Pod and debug port, but you will have to re-issue the command every time the Pod name changes.Īs an alternative, you can spin up a local copy of the service under test and attempt to use `kubectl port-forward` to expose remote services (via locаlhost and their ports). You can expose the port in your Kubernetes Service YAML, but this can be a security risk if this is deployed to production, and so you typically have to maintain two copies of the YAML when using this approach. The primary issue is exposing the debug ports for your locally running IDE or debugger to connect to. Remote debugging against Java apps running in Kubernetes can be challenging. Difficulties with Debugging Java Apps Running in Kubernetes This enables you to spin up a single service or small collection of services locally and debug your apps using your existing tools while still being able to access the remote services as if you were working in the cluster. ![]() ![]() This article walks you through the use of Telepresence for seamlessly connecting your local development machine running all of your familiar debug tooling to a remote Kubernetes cluster that contains the rest of your microservices. The open source Telepresence tool can help. This then opens up the challenges of remote debugging, and the associated fiddling with debug protocols and exposing ports correctly. However, when you are working with a system that is composed of a large number of microservices running in a Kubernetes cluster, the approach you take to debugging has to change.įor one, when you want to conduct integration tests with a service you typically can’t run all of your dependent services on your local machine. A change in approach is required! Debugging Cloud Native Apps Requires a New ApproachĮasy and efficient debugging is essential to being a productive engineer. The challenge here is that many of your existing local debugging tools and practices can’t be used when everything is running in a container or on the cloud. ![]() The technologies and architectures may change when we move to the cloud, but the fact remains that we all still add the occasional bug to our code. Many Java-based organizations adopt cloud native development practices with the goal of shipping features faster. Tutorial: Learn to locally debug Java microservices with IntelliJ IDEA and Telepresence connected to a remote Kubernetes cluster This is a guest blog post by Daniel Bryant, from Telepresence ![]()
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