In an ideal world, you want to have precisely the capacity to manage the requests of your users, from peak periods to off-peak hours. If you need three servers to attend to all the requests at peak periods and just one server at off-peak hours, running three servers all the time is going to drive up expenses, and running just one server all the time is going to mean that during peak periods, your systems will be overwhelmed and some clients will be denied service.

Kubernetes is both revolutionary and “diffusionary.” It is a complete restructuring demanding a whole new slew of companion and support tools to cover and prop up the entire ecosystem. There are literally hundreds of tools – both open-source and proprietary – designed specifically with k8s in mind.

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.