Illumina Innovates with Rancher and Kubernetes
Introduction Kubernetes solves the problem of orchestrating containerized applications at scale by replacing the manual processes involved in their deployment, operation, and scaling with automation. While this enables us to run containers in production with great resiliency and comparably low operational overhead, the Kubernetes control plane and the container runtime layer have also increased the complexity of the IT infrastructure stack.
In order to reliably run Kubernetes in production, it is therefore essential to ensure that any existing monitoring strategy targeted at traditional application deployments is enhanced to provide the visibility required to operate and troubleshoot these additional container layers.
Introduction Kubernetes has become increasingly popular as a reliable platform for running and managing applications. Kubernetes is a distributed systems platform and follows a client-server architecture. The master nodes function as the server side of Kubernetes, while the worker nodes connect to the master and run as clients.
Because of this division, Kubernetes components can be logically split up into these two categories:
Master components: These components run on the master nodes of the cluster and form the control plane.
Introduction Kubernetes clusters can manage large numbers of unrelated workloads concurrently and organizations often choose to deploy projects created by separate teams to shared clusters. Even with relatively light use, the number of deployed objects can quickly become unmanageable, slowing down operational responsiveness and increasing the chance of dangerous mistakes.
Kubernetes uses a concept called namespaces to help address the complexity of organizing objects within a cluster. Namespaces allow you to group objects together so you can filter and control them as a unit.
Introduction Kubernetes is all about managing your container infrastructure. After learning the basics of what Kubernetes can do, it’s important to know all the building blocks that will help you run your containers in the best manner possible. So let’s discuss “workloads” and some of the Kubernetes components that surround this concept.
So what exactly is a workload? In Kubernetes, there is no object, component, and any kind of construct called a “workload”.
Introduction Containers, along with containerization technology like Docker and Kubernetes, have become increasingly common components in many developers’ toolkits. The goal of containerization, at its core, is to offer a better way to create, package, and deploy software across different environments in a predictable and easy-to-manage way.
In this guide, we’ll take a look at what containers are, how they are different from other kinds of virtualization technologies, and what advantages they can offer for your development and operations processes.
Introduction As technologies like Docker and containerization have become indispensable parts of developer and operations toolkits and gained traction in organizations of all sizes, the need for greater management tools and deployment environments has increased. Kubernetes, a container orchestration system, has become the overwhelming standard for managing complex container workloads in production environments. But what is Kubernetes and how does it work?
In this guide, we’ll talk about how Kubernetes came to be, introduce some core Kubernetes concepts, and explore how container orchestration platforms help turn containerized applications into robust, highly scalable environments for modern development.