Systems | Development | Analytics | API | Testing

A mock server can prove useful in many circumstances. Imagine you’re an engineer working on optimizing a feature inside of an existing API that relies on multiple other microservices to function properly. To fully test the optimizations, you’ll have to set up test versions of all the dependencies, which quickly proves to be quite a task in and of itself. This is where a mocks—a server that simulates the behavior of a real server—can be very beneficial.

We see a lot of teams working with automated testing, and many feel the need to take the next step in order to optimize and excel in their product release cycle. Prior to implementing DevOps, companies can experience a stall in releases and only make new ones every 6 months. This means that development efforts are not bringing value to users quickly enough. For companies that work in regulated industries, it’s also critical that they set up reporting and traceability into their DevOps pipeline.

In this third and final part, you’ll get to see a few examples that aren’t strictly related to configuration changes or new tools, but rather ways that traffic replay can help streamline the development process for those deploying in Kubernetes.

DevOps was started more than a decade ago as a movement, not a product or solution category. DevOps offered us a way of collaborating between development and operations teams, using automation and optimization practices to continually accelerate the release of code, measure everything, lower costs, and improve the quality of application delivery to meet customer needs.

The main idea behind Kubernetes is to create a standardized approach to running containers in the cloud. Whether you’re running AKS on Azure or EKS on Amazon, your cluster should still behave in more or less the same way. But that’s not to say you’re locked in to doing things one way; Kubernetes still offers a lot of flexibility in many cases. This is what experienced engineers take advantage of when trying to optimize Kubernetes performance.

Today, we are glad to release the Koyeb Terraform Provider and announce that we are a Hashicorp Technology partner. Terraform has become an essential tool for many developers who manage infrastructure and applications running in the cloud. We are excited to offer our users a way to manage their Koyeb resources using Terraform.

Kubernetes is a powerful platform that comes with many features to help engineers run their applications more efficiently. However, as you gain more experience and deploy more workloads, you’ll inevitably start looking for ways to optimize Kubernetes performance. There are many ways to approach optimization. On one hand, you could work exclusively with the tools and configurations provided by Kubernetes itself; on the other, you could reap the benefits of third-party tools.