![]() It sounds like the implementation details are less important when you work against an interface, but that's not the case for the Java Virtual Machine. Musl libc actually has functional differences compared to GNU libc - things like regular expressions, EOF and multithreading could behave differently based on the implementation. Used by Alpine Linux, it is much smaller in size compared to GNU libc and is meant to be lightweight, fast and simple. Musl libc: This is a newer implementation of the library.Its downside is that it is a fairly large and heavy codebase (in container terms). It is used by Ubuntu, Debian, CentOS, RHEL, SUSE and more. GNU libc: This is the standard library that you probably use every day.There are two popular implementations for the libc interface: The Linux kernel Application Binary Interface (ABI), which guarantees backwards compatibility between different Linux kernel versions.īased on this information, it sounds like you shouldn't really care which Linux distribution you'll use.This is practically the same programming interface, regardless of the Linux distribution you plan to use. libc, which is at the core of OCI images.The important pieces for a Linux-based container are: There's a good reason why you can run a Red Hat Enterprise Linux container on an Ubuntu VM, or a Debian Linux container on a PhotonOS VM. It should be focused on which Linux kernel you are going to base your container on. Should you go with Ubuntu? RedHat Enterprise Linux? Debian? Suse? Alpine? Distroless? Which one makes more sense for your JDK-based OCI image?įor containerized JDK workloads, the question should actually be more generalized. There are so many Linux distros out there that it gets hard to keep up. In reality, there are many important decisions that will impact your target image and how it behaves with regards to the Java Virtual Machine it is running. ![]() ![]() Just Google some sample Dockerfile for a Java application and use it as reference. Building the imageĪt first, this sounds fairly simple. Building the OCI image (a.k.a., the "Docker" image)Įach step has its own gotchas and intricacies.There two separate yet equally important aspects of running a production-ready Spring application in Kubernetes: It's probably a good idea to know what you're owning. You may consider a developer platform such as Tanzu Application Platform to offload some of these infrastructure decisions to a platform, but even with a PaaS there are architecture and topology decisions to be made. You might think that in order to run a Spring Boot app in Kubernetes, all you have to do is quickly jot down a Dockerfile and be done with it.Īs Kramer learned the hard way, it's never that easy: These are also based on my own personal observations and are not endorsed by my employer. This document is not entirely based on first-hand experiences, but more a collection of conclusions and best practices I identified in the community and when working with customers. In this article, I shall highlight some of the learnings and best practices that have formed around running Spring (and more broadly Java) applications on Kubernetes. This begs the question - what kind of best practices and considerations should be taken into account when running Spring on Kubernetes? Kubernetes is the defacto standard for running containerized workloads in production.Spring is the defacto standard for running cloud-native applications in Java.The 2021 State of Spring report has two main data points:
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