Two of the most popular guides we’ve written are the GitOps promotion guide and the ApplicationSet guide. Used together, they explain an end-to-end solution for organizing your GitOps applications and promoting them between different environments, while keeping things DRY by using application sets. Both of these guides use Kustomize. We offered some hints for Helm users, but this is a dedicated guide for Helm applications.

Kubernetes has revolutionized how modern applications are built, deployed, and scaled. However, due to its complexity, managing a Kubernetes development environment can sometimes feel overwhelming for developers. Utilizing a cloud environment can simplify Kubernetes development by providing better scalability, manageability of dependencies, and a more consistent development experience across various cloud providers.

Kubernetes has drastically simplified application deployment. However, managing workloads in Kubernetes is a challenge because of their innate complexity and dynamism. Frequent bottlenecks and unpredictable application behavior can make managing Kubernetes workloads much harder. This has become simpler and lighter after the expansion of AI, which provides a more intelligent approach to managing and optimizing Kubernetes environments.

Every pod has its purpose. During an application deployment, all the workloads in the cluster work cohesively and ensure that the deployment launches—without any hiccups. When a pod is created, it starts its lifetime in a Pending state. A pod is in the Pending state when it is still in the process of being scheduled for deployment. When it is scheduled for deployment and the containers have started, it converts to the Running phase. It only takes a few seconds for the phase transition.

In the wake of Broadcom’s acquisition of VMware, the world of virtualization is in flux. Customers, especially those reliant on VMware’s Pivotal Cloud Foundry (PCF), are feeling uncertain about the future. This blog post is designed to guide customers through the specific hurdles they now face due to the acquisition, explore Kubernetes (K8s) as an alternative to PCF, and discuss how Komodor can help with a K8s migration.

Learn how the Kubernetes Metrics Server helps monitor resource usage like CPU and memory, ensuring smooth cluster performance and scalability.

When selecting a cloud migration partner, it’s essential to evaluate their capabilities, experience, and alignment with your business needs. Here’s a guide on what to look for.

In the ever-evolving DevOps and site reliability engineering (SRE) landscape, Kubernetes stands out as a pivotal technology, revolutionizing how we deploy, scale, and manage containerized applications. K8s offers powerful orchestration capabilities, ensuring our applications are resilient and can scale seamlessly to meet varying demands. However, as robust as Kubernetes is, managing it efficiently requires significant expertise and effort.

We are proud to announce that Qovery has been officially accepted into the AWS ISV Accelerate Program as of October 21, 2024. This strategic achievement is a game changer for both Qovery and our customers, offering new avenues for collaboration and growth through an integrated go-to-market approach with AWS.

Kubernetes has become the dominant orchestration platform for cloud-native apps– and for good reason. It can be a powerful tool in your software development lifecycle. But how do you know if your Kubernetes-based app can handle the demands of production traffic? Kubernetes alone isn’t always enough to ensure your app’s performance under load. In many cases, it is, but it’s always wise to know your application’s limits.