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One of the many best-practices for operating Kubernetes clusters is to frequently perform Kubernetes version upgrades in those clusters. This insures that you'll be running your workload with a version of Kubernetes that contains the latest security fixes, stability improvements, and features. There are two ways of doing this: manually with, for example, kubeadm when you're running on bare-metal and, if you're using one of the many cloud-provider Kubernetes solutions, the assisted way They all have their benefits and downsides.
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At Banzai Cloud we are building a managed Cloud Native application and devops platform called Pipeline. Pipeline supercharges the development, deployment and scaling of container-based applications with native support for multi and hybrid-cloud environments. The Pipeline platform provides support for advanced scheduling that enables enterprises to run their workflows in an efficient way by scheduling workflows to nodes that meet the needs of the workflow (e.g.: CPU, memory, network, IO, spot price, etc).
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Creating Kubernetes clusters in the cloud and deploying (or CI/CDing) applications to those clusters is not always simple. There are a few conventional options, but they are either cloud or distribution specific. While we were working on our open source Pipeline Platform, we needed a solution which covered (here follows an inclusive but not exhaustive list of requirements): provisioning of Kubernetes clusters on all major cloud providers (via REST, UI and CLI) using a unified interface application lifecycle management (on-demand deploy, dependency management, etc) preferably over a REST interface support for multi tenancy, and advanced security scenarios (app to app security with dynamic secrets, standards, multi-auth backends, and more) ability to build cross-cloud or hybrid Kubernetes environments This posts highlights the ease of creating Kubernetes clusters using the Pipeline API on the following providers:
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