Docker has become the de facto standard for containerization among developers and DevOps teams. However, as infrastructure needs grow, so does the need for container orchestration, scaling, self-healing, and centralized management. This is where Kubernetes (k8s) comes into play — a powerful system for managing containerized applications.
Modern businesses increasingly adopt microservice architecture using Kubernetes to manage containerized applications. However, as complexity grows, so does the need for a reliable backup system—not only for configurations but also for persistent data. This becomes especially important when the Kubernetes cluster is deployed on a VPS, where the administrator is fully responsible for infrastructure protection.
Containerization has revolutionized the way applications are deployed, making the process more flexible, scalable, and manageable. Kubernetes, as the leading container orchestration system, has become the standard for running cloud-native services. However, as the number of services and microservices grows, so does the need for efficient monitoring. This is why the combination of Prometheus + Grafana has become the go-to solution for observing infrastructure health.
In this article, we’ll explore how to set up Kubernetes cluster monitoring on a VPS using Prometheus and Grafana, the benefits of this approach, and why it’s essential for maintaining project stability.
Containerization has become the gold standard for modern application development and deployment. And Kubernetes (K8s) is the leading platform for automating the deployment, scaling, and management of containerized applications. If you’re already using a VPS or planning to rent a server for your project, deploying a Kubernetes cluster on your own VPS is a powerful and flexible alternative to cloud solutions.