Load Balancing

August 30, 2018
Read time: 1 min

Free, online training for Kubernetes and Rancher. Our popular sessions show you the basics of running Kubernetes, including deployments, pods, services, running Kubectl, and ingresses.

Alena Prokharchyk
Alena Prokharchyk
June 8, 2018
Read time: 8 min

Learn different ways of load balancing traffic to your kuberentes workload with Rancher

Alena Prokharchyk
Alena Prokharchyk
January 19, 2018
Read time: 8 min

Last month I had the great pleasure of attending Kubecon 2017, which took place in Austin, TX. The conference was super informative, and deciding on what session to join was really hard as all of them were great. But what deserves special recognition is how well the organizers respected the attendees’ diversity of Kubernetes experiences. Support is especially important if you are new to the project and need advice (and sometimes encouragement) to get started.

November 17, 2017
Read time: 3 min

Let’s explore the new software and features in the latest release of Rancher, which you can use by running the rancher/server:v1.6.11{.markup–code .markup–p-code} image. Check our documentation on Installing Rancher Server if you need help running Rancher. NOTE: Keep in mind that Rancher v1.6.11 is tagged as latest, which means it’s not ready for production use. Our current, stable version recommended for use in production is Rancher v1.6.10. Kubernetes Kubernetes 1.

October 3, 2017
Read time: 6 min

It’s finally here: the Rancher you’ve all been waiting for. Rancher 2.0 is now in preview mode and available to deploy! Rancher 2.0 brings us a whole new Kubernetes-based structure, with new features like platform-wide multi-select, adoption of existing Kubernetes clusters, and much, much more. If you’re looking to dive in with Rancher 2.0, you’ve come to the right place. Assumptions You have a Linux host with at least 4 GB of RAM.

Michael Churchman
Michael Churchman
August 14, 2017
Read time: 6 min

Join Rancher in taking a closer look at Kubernetes load balancing, and the built-in tools used for managing communication between individual pods.

August 7, 2017
Read time: 4 min

For teams building and deploying containerized applications using Docker, selecting the right orchestration engine can be a challenge. The decision affects not only deployment and management, but how applications are architected as well. DevOps teams need to think about details like how data is persisted, how containerized services communicate with one another, load balancing, service discovery, packaging and more. It turns out that the choice of orchestration engine is critical to all these areas.

July 17, 2017
Read time: 4 min

In the world of containers, Kubernetes has become the community standard for container orchestration and management. But there are some basic elements surrounding networking that need to be considered as applications are built to ensure that full multi-cloud capabilities can be leveraged. The Basics of Kubernetes Networking: Pods The basic unit of management inside Kubernetes is not a container—It is called a pod. A pod is simply one or more containers that are deployed as a unit.

June 15, 2017
Read time: 10 min

*Note: This post is the first in a two-part series on using GitLab and Rancher together for continuous integration and deployment, and part two is now up. We’ve also made the entire walkthrough available for download. * Introduction GitLab is, at its core, a tool for centrally managing Git repositories. As one might expect form a platform that provides this service, GitLab provides a robust authentication and authorization mechanism, groups, issue tracking, wiki, and snippets, along with public, internal, and private repositories.

May 18, 2017
Read time: 7 min

In Kubernetes, we often hear terms like resource management, scheduling and load balancing. While Kubernetes offers many capabilities, understanding these concepts is key to appreciating how workloads are placed, managed and made resilient. In this short article, I provide an overview of each facility, explain how they are implemented in Kubernetes, and how they interact with one another to provide efficient management of containerized *workloads. *If you’re new to Kubernetes and seeking to learn the space, please consider reading our case for Kubernetes article.

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