Azure Kubernetes Service (AKS) enables you to easily deploy and manage containerized applications in Azure while leveraging Microsoft resources such as development tools, security features, and more. As with any Kubernetes service, the sheer volume of containers being orchestrated makes monitoring AKS cluster health challenging, which can slow response times to critical incidents and create bottlenecks around long-term optimizations.

We’re excited to announce that with the release of Grafana Beyla 1.2, Kubernetes support is now fully integrated. With this update, the Grafana Beyla configuration now “understands” Kubernetes semantics to provide a more fine-grained selection of services to instrument. Beyla users can decorate metrics and traces with the metadata of Kubernetes entities, such as pods and deployments, that run the automatically instrumented services.

Containers and microservices are revolutionizing how distributed applications are built, run, and optimized. They enable apps to be highly scalable. You can also isolate some areas for updates and patches without shutting down the entire application or service. Yet, managing containers and microservices at scale can be tricky. That’s where a container management platform like Kubernetes comes in – or, as you’ll see below, where the top Kubernetes alternatives shine.

When we discuss observability for applications running in Kubernetes, most people immediately default to Metrics, Logs, and Traces – commonly referred to as the “three pillars.” These pillars are just different types of telemetry – signals that can be fed into observability platforms to help understand how an application behaves. But did you know that Kubernetes offers another valuable signal? When combined with the other signals, you get MELT.

Kubernetes and OpenShift are two major players in the container management space, each offering unique advantages and challenges. This article will discuss both these platforms, comparing their strengths and weaknesses. We will also explore their ideal use cases, and how a platform like Qovery bridges the gap between them. Whether you're a proficient DevOps or a developer, understanding these platforms can help you make the right choice for your container-based applications.

Building containerized applications opens doors to efficiency and scalability, especially for developers looking to streamline their workflows. Kubernetes, a game-changer in container orchestration, makes it easier for developers to manage these applications. This article will discuss in great detail on what Kubernetes is, why it matters, and how it simplifies container orchestration, paving the way for robust and flexible applications.

Kubernetes, often abbreviated as K8s, is a powerful container orchestration platform that has revolutionized the way modern applications are developed, deployed, and managed. At its core, Kubernetes relies on several conceptual pillars that form the foundation of its design and functionality. Let’s delve into these fundamental principles that underpin Kubernetes.

One of the inherent challenges you'll face when working with Kubernetes is that a typical cluster includes many resources that produce telemetry data. Because producing and moving telemetry data consumes resources, you can end up in situations where different workloads are competing for the resources necessary to manage telemetry data.

Absolutely, diving into the stages of a Continuous Integration/Continuous Deployment (CI/CD) pipeline can shed light on the software development process’s efficiency. Let’s break it down into stages.

Amid all the activity and excitement at KubeCon and ArgoCon 2023 – including some exciting news of our own – the CNCF released the results of a new micro survey assessing trends in GitOps adoption. There’s a lot of great data tucked inside, and worth the read to find out what peers across the industry are saying about GitOps usage in their organizations.