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Rancher

Advanced Monitoring and Observability Tips for Kubernetes Deployments

Cloud deployments and containerization let you provision infrastructure as needed, meaning your applications can grow in scope and complexity. The results can be impressive, but the ability to expand quickly and easily makes it harder to keep track of your system as it develops. In this type of Kubernetes deployment, it’s essential to track your containers to understand what they’re doing.

Efficient Kubernetes Cluster Management: Building Infrastructure-Agnostic Clusters with Cluster API

With the widespread adoption of Kubernetes, the Cloud Native Computing Foundation (CNCF) ecosystem has evolved to include projects that address the challenges of using a container orchestrator system. One such challenge is managing and deploying clusters, which can become complex as organizations scale their Kubernetes requirements. Fortunately, Cluster API (CAPI) provides a solution.

Understanding and Optimizing CI/CD Pipelines

Building, testing and deploying software is a time-consuming process that many organizations aim to minimize by automating repeatable work wherever possible. To do so, many organizations are utilizing a continuous integration, continuous delivery (CI/CD) philosophy in combination with cloud native tools like Kubernetes to develop and deploy software at scale.

Meet Elemental: Cloud Native OS Management in Kubernetes

Wouldn’t it be great if Rancher could provision and manage not only Kubernetes clusters but also the OS running on the cluster nodes? This is the goal we had in mind when we started working on Elemental. Elemental adds to Rancher the ability to install and manage a minimal OS based on SUSE Linux Enterprise technology, delivered and managed in a fully cloud native way. This simplifies the infrastructure (you only need a container registry) and day 2 operations.

Fleet: Multi-Cluster Deployment with the Help of External Secrets

Fleet, also known as “Continuous Delivery” in Rancher, deploys application workloads across multiple clusters. However, most applications need configuration and credentials. In Kubernetes, we store confidential information in secrets. For Fleet’s deployments to work on downstream clusters, we need to create these secrets on the downstream clusters themselves.