Operations | Monitoring | ITSM | DevOps | Cloud

Explore the best strategies for implementing automated testing in CI/CD pipelines to streamline your development process and ensure high-quality software delivery.

In the previous article of the series we explained how to model GitOps environments and promote an application between them. That article was laser-focused on a single application and its Kubernetes resources. In this article we will zoom out to look at several related subjects: It is worth mentioning that as always, our advice is a general recommendation that follows best practices.

Calico 3.28 now has enabled VXLAN checksum offload by default for environments with the kernel version of 5.8 or above. In the past, offloading was disabled due to kernel bugs. Please keep in mind, if you are upgrading to 3.28 this change will take effect after node restarts.

In the fast-paced world of software development, efficiency is key. One of the most critical aspects of ensuring smooth and reliable software delivery is streamlining your deployment pipeline. A well-optimized deployment pipeline not only saves time and resources but also enhances the overall quality of your product. Let’s embark on a DevOps journey to explore how you can streamline your deployment pipeline effectively.

In Kubernetes a static pod is a concept where you can deploy a pod that is not managed by the API server. Static pods are directly managed by the Kubelet component. The Kubelet service is deployed with the configuration path where we can add the pod manifest for the Kubelet to deploy. Even though a static pod is not managed by the API server, you can use Kubectl to list the static pod. This is because, when Kubelet deploys a static pod, it creates a mirror pod in the API server.

I’m Romaric, the CEO and co-founder of Qovery. With 15 years of experience managing large-scale infrastructure and a passion for computer science, I’ve embarked on a journey to build an ambitious tech product designed to revolutionize the developer experience. At Qovery, we aim to simplify the path to production for developers, ensuring they can focus on writing code without worrying about the underlying infrastructure.

Troubleshooting within Kubernetes environments can be a daunting task. If we could only have a magical artificial intelligence advisor that could gather all the data about what goes on the system, and tell me what’s wrong, and even how to solve it. Wouldn’t it be nice? K8sGPT is a young open source project that uses generative AI to give Kubernetes superpowers to everyone. It recently turned a year old, and is now part of the Cloud Native Computing Foundation (CNCF).

When setting up a Kubernetes environment with Amazon Elastic Kubernetes Service (EKS), it is crucial to understand your available networking options. EKS offers a range of networking choices that allow you to build a highly available and scalable cloud environment for your workloads. In this blog post, we will explore the networking and policy enforcement options provided by AWS for Amazon EKS.

In the ever-evolving landscape of software development, DevOps has emerged as a transformative force. It’s not just a set of practices or tools; it’s a cultural shift that aims to streamline collaboration, automate processes, and deliver value to customers faster and more efficiently than ever before. In this guide, we’ll delve into how DevOps is revolutionizing software development and provide insights into achieving success in this domain.