The latest News and Information on Containers, Kubernetes, Docker and related technologies.
Container technologies have taken the infrastructure world by storm. Ideal for microservice architectures and environments that scale rapidly or have frequent releases, containers have seen a rapid increase in usage in recent years. But adopting Docker, containerd, or other container runtimes introduces significant complexity in terms of orchestration. That’s where Kubernetes comes into play.
As explained in Part 1 of this series, monitoring a Kubernetes environment requires a different approach than monitoring VM-based workloads or even unorchestrated containers. The good news is that Kubernetes is built around objects such as Deployments and DaemonSets, which provide long-lived abstractions on top of dynamic container workloads.
In the previous post in this series, we dug into the data you should track so you can properly monitor your Kubernetes cluster. Next, you will learn how you can start inspecting your Kubernetes metrics and logs using free, open source tools. In this post we’ll cover several ways of retrieving and viewing observability data from your Kubernetes cluster.
This blog will examine how Rancher improves the life of DevOps teams already invested in AWS’s Elastic Kubernetes Service (EKS) but looking to run workloads on-prem, with other cloud providers or, increasingly, at the edge. By reading this blog you will also discover how Rancher helps you escape the undeniable attractions of a vendor monoculture while lowering costs and mitigating risk.
Approximately one year ago, Kubernetes 1.14 made support of Windows containers running on Microsoft Windows Server nodes generally available. This was a declaration that Windows node support was stable, well-tested, and ready for adoption, meaning the vast ecosystem of Windows-based applications could be deployed on the platform.
AWS (Amazon Web Services) is an amazing and reliable cloud service provider. AWS, like Google Cloud Platform and Microsoft Azure, provides everything you need to host an application without having to worry about running the underlying servers and network configuration. Everything you need to quickly begin hosting is provided as a packaged services. However, deploying an application on AWS presents some challenges.
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the k8s-security-configwatch GitHub Action, an open source tool from Sysdig, secures your GitOps workloads by detecting changes on your Kubernetes security configuration.
Long before Dockerfiles, Java developers worked with single deployment units (WARs, JARs, EARs, etc.). As you likely know by now, it is best practice to work in micro-services, deploying a small number of deployment units per JVM. Instead of one giant, monolithic application, you build your application such that each service can run on its own. This is where Docker comes in!
