In the last post we covered the industry shift towards ARM machines for both local and production software engineering. Last time we learned how to create Docker images that would work on multiple architectures for dev machines. Now we want to take this portability and leverage it for cost savings in production. You may be able to transition some of your services into multi-architecture builds.

In this article, you’ll be introduced to two different load testing tools that are both able to work with Kubernetes; Speedscale and K6. Throughout this post you’ll be given a comparative view of how each tool performs in five different categories: Ease of setup, developer experience, working with the CLI, creating tests, and integration into CI/CD pipelines.

With many options to modernize tech stacks and improve developer UX, it’s hard to know where to start. Consider starting with your Software Development Life Cycle. There are a number of opportunities that can provide quick wins for a development team without disrupting productivity and release cycles while saving money and improving developer experience and deployment times.

With ARM based dev machines and servers becoming more common, it is become increasingly important to build Docker images that support multiple architectures. This guide will show you how to build these Docker images on any machine of your choosing.

Containers are popular and unlock many benefits for Laravel developers, but getting started can be confusing. Learn how to containerize an existing Laravel application and discover the benefits that containers can bring to your development workflow.

In this blog, understand why your pod has OOMKilled errors when provisioning Kubernetes resources and how Speedscale can aid with automated testing. When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release.