Today we launched the Rancher Academy, our new free training portal. The first course is Certified Rancher Operator: Level 1, and in it you’ll learn exactly how to deploy Rancher and use it to deploy and manage Kubernetes clusters. This professional certification program is designed to help Kubernetes practitioners demonstrate their knowledge and competence with Kubernetes and Rancher – and to advance in their careers.
For teams that deal with machine learning (ML), there comes a point in time where training a model on a single machine becomes untenable. This is often followed by the sudden realization that there is more to machine learning than simply model training. There are a myriad of activities that have to happen before, during and after model training. This is especially true for teams that want to productionize their ML models.
Buildah is a tool for building OCI-compatible images through a lower-level coreutils interface. Similar to Podman, Buildah doesn't depend on a daemon such as Docker or CRI-O, and it doesn't require root privileges. Buildah provides a command-line tool that replicates all the commands found in a Dockerfile. This allows you to issue Buildah commands from a scripting language such as Bash.
As our enterprise customers build out large, multi-cluster Kubernetes environments, they are encountering an entirely new set of security challenges, requiring solutions that operate at scale and can be deployed both on-premises and across multiple clouds.
How do you know if the changes that you’re making to your microservices are having the desired impact to your end-users? What happens after a deploy? Did your app’s performance remain the same? Were any bugs introduced? Do you need to roll back? With Codefresh and Lightstep, you’re able to more quickly, more accurately, and more easily ensure that any commit and build results in a better experience for your end-users.
This article will describe the process of installing Rancher 2.4 on a highly available K3s Kubernetes cluster in Microsoft Azure. It will also take advantage of Microsoft Azure Database for MySQL, which removes the dependency on etcd and provides us all the additional features that Azure delivers with this service. You will learn how to deploy the infrastructure to support this pattern using only the Azure Cloud Shell.
Prometheus plays a significant role in the observability area. An increasing number of applications use Prometheus exporters to expose performance and monitoring data, which is later scraped by a Prometheus server. However, when it comes to storage, Prometheus faces some limitations in its scalability and durability since its local storage is limited by single nodes.
Managing stateful applications has been challenging for engineering and operations teams long before the debut of Kubernetes. In this post, we’ll explore all aspects of your deployments of stateful applications on Kubernetes, from the underlying hardware to Pod update strategies, and provide insights into how LogDNA uses stateful Kubernetes to build one of the world’s fastest log management platforms.
In our series on how to deploy an app to AWS with the least effort, we've talked about getting started, preventive measures, and securing your app. Today, we're going to focus on DNS (domain name system), specifically the AWS DNS service Route 53. As you're deploying your web app, you will inevitably use DNS.
