hardware benchmarks in kubernetes

Benchmark series part 3: Automated hardware benchmarks in Kubernetes

I present my own hardware benchmark automation framework that creates a Kubernetes cluster with different VM types of your choice, schedules a containerized benchmark container on each node, and collects+processes the result. The framework is open source and available on GitHub. I also provide hints for how to visualize the results. Introduction A hardware benchmark … Read more

azure vm performance benchmark in AKS

Performance benchmark of over 30 Azure VMs in AKS

This article uses my fully-automated benchmark suite which creates a temporary Azure Kubernetes cluster (AKS) with over 30 different Azure VM sizes, schedules a container-based benchmark on each VM (which measures CPU and disk performance), and collects + visualizes the results. I share the raw results and an Excel sheet with various meta-information and graphs, … Read more

Azure Pipelines Kubernetes operator feature

Auto-scaling Azure Pipelines Agents in Kubernetes

This article explores my Kubernetes operator that provisions Azure Pipelines agents as Kubernetes Pods. It comes with an in-depth tutorial for how to use my operator. I also explore all alternative options for running Azure Pipeline agents, and explain why using a Kubernetes-based option beats all other options. Introduction CI/CD pipelines are a cornerstone to … Read more

kubernetes development tools feature

Kubernetes Development tools – the best 10 tools to speed up your daily development

In this article I discuss three types of Kubernetes development tools that speed up your daily development and debugging tasks: tools like Tilt that speed up development iteration cycles, general approaches for remote debugging with a debugger, and tools like Inspektor Gadget that help you diagnose problems in production. Introduction The increasing complexity of Kubernetes … Read more

cluster introspection tools feature

Kubernetes cluster introspection – the 5 best tools to better understand your cluster

Cluster introspection tools help you better understand what is going on in your Kubernetes cluster, by presenting the workloads visually. In this article I present a taxonomy of available tools and briefly present the tools Lens, k9s, kubenav, Octant, Headlamp, Kubernetes dashboard, Skooner and Portainer. I conclude by giving general recommendations. Introduction A very common … Read more

local Kubernetes clusters feature

Local Kubernetes development clusters: the 5 best local cluster compared

If you develop software that runs on Kubernetes, a local development cluster can significantly speed up your development iteration speed, because everything happens locally. I discuss the pros and cons of local clusters and then present the tools Docker for Desktop, Rancher Desktop, kind, k3d and Minikube, and how they compare. I finish with details … Read more

GitOps with GitLab ArgoCD and Renovate Bot

GitOps for managing cluster software using GitLab, ArgoCD and Renovate Bot

This article demonstrates how to use the ArgoCD GitOps controller to deploy applications to a Kubernetes cluster. The definitions/manifests of these applications, such as an Ingress controller, monitoring stack, etc., are stored in GitLab. They are automatically updated by Renovate Bot, which regularly scans your GitLab project for outdated dependencies. A demo project illustrates how … Read more

prometheus in kubernetes feature

Kubernetes Observability – Part VI: Prometheus in Kubernetes guide

This article discusses the different options you have to install Prometheus in Kubernetes, and then explains the installation of the Prometheus operator in detail, using the kube-prometheus-stack Helm chart. I conclude with how to upgrade your Prometheus stack as well as your own alerting rules and Grafana dashboards. Introduction The Prometheus stack is a popular set of … Read more

alerting best practices

Kubernetes Observability – Part V: alerting best practices

This article explains best practices for writing alerts on an abstract, tool-independent level. I go into technical alerting patterns (including RED and USE) and why it is better to start from a business angle instead. I elaborate on general alerting rule design, such as alert frequency and appropriate destinations, and give concrete tips for addressing … Read more