The Impact of Misconfigured Kubernetes Clusters on Business Continuity
kubernetescloud
2024-11-07
By Thomas Kooi
Kubernetes has quickly become the industry standard for managing applications in the cloud. What was once seen as a complex technology is now part of the basics for companies looking to grow and scale their digital operations. These days, setting up a Kubernetes cluster is fairly straightforward, and many teams can get up and running in no time. However, just because it’s easy to set up doesn’t mean it’s always done right.
When you work on infrastructure, develop helm charts or simply want you run your tests in a more production like environment, running Kubernetes on your Gitlab CI may a good fit for you. Luckily, it’s only a little bit of configuration to set-up!
As a frequent user of Terraform, I have a variety of modules tailored for different purposes, many of which rely on CentOS with a Docker install script. However, while demoing a setup to a co-worker, we encountered a significant delay — about seven minutes — for a Terraform apply to complete with an install script. Determined to improve this, I dedicated my Sunday to exploring Packer.
Given my extensive use of Terraform, delving into Packer seemed like a natural next step.