Your guide to Kubernetes best practices
Google Cloud Content & Editorial
Kubernetes made a splash when it brought containerized app management to the world a few years back. Now, many of us are using it in production to deploy and manage apps at scale. Along the way, we’ve gathered tips and best practices on using Kubernetes and Google Kubernetes Engine (GKE) to your best advantage. Here are some of the most popular posts on our site about deploying and using Kubernetes.
Use Kubernetes Namespaces for easier resource management
Simple tasks get more complicated as you build services on Kubernetes. Using Namespaces, a sort of virtual cluster, can help with organization, security, and performance. This post shares tips on which Namespaces to use (and not to use), how to set them up, view them, and create resources within a Namespace. You’ll also see how to manage Namespaces easily and let them communicate.
Use readiness and liveness probes for health checks
Managing large, distributed systems can be complicated, especially when something goes wrong. Kubernetes health checks are an easy way to make sure app instances are working. Creating custom health checks lets you tailor them to your environment. This blog post walks you through how and when to use readiness and liveness probes.
Kubernetes best practices: Setting up health checks with readiness and liveness probes
Using health checks such as readiness and liveliness probes gives your Kubernetes services a solid foundation, better reliability, and higher uptime. Learn when to use which probe, and how to set them up in your Kubernetes cluster.
By Sandeep Dinesh • 5-minute read
Keep control of your deployment with requests and limits
There’s a lot to love about the scalability of Kubernetes. However, you do still have to keep an eye on resources to make sure containers have enough to actually run. It’s easy for teams to spin up more replicas than they need or make a configuration change that affects CPU and memory. Learn more in this post about using requests and limits to stay firmly in charge of your Kubernetes resources.
Kubernetes best practices: Resource requests and limits
While your Kubernetes cluster might work fine without setting resource requests and limits, you will start running into stability issues as your teams and projects grow. Adding requests and limits to your Pods and Namespaces only takes a little extra effort, and can save you from running into many headaches down the line.
By Sandeep Dinesh • 9-minute read
Discover services running outside the cluster
There are probably services living outside your Kubernetes cluster that you’ll want to access regularly. And there are a few different ways to connect to these services, like external service endpoints or ConfigMaps. Those have some downsides, though, so in this blog post you’ll learn how best to use the built-in service discovery mechanisms for external services, just like you do for internal services.
Decide whether to run databases on Kubernetes
Speaking of external services: there are a lot of considerations when you’re thinking about running databases on Kubernetes. It can make life easier to use the same tools for databases and apps, and get the same benefits of repeatability and rapid spin-up. This post explains which databases are best run on Kubernetes, and how to get started when you decide to deploy.
Understand Kubernetes termination practices
All good things have to come to an end, even Kubernetes containers. The key to Kubernetes terminations, though, is that your application can handle them gracefully. This post walks through the steps of Kubernetes terminations and what you need to know to avoid any excessive downtime.