Operations | Monitoring | ITSM | DevOps | Cloud

Delivering rapid innovation to your users is critical in the fast-moving world of technology. Kubernetes is an amazing engine to drive that innovation in the cloud, on-premise and at the edge. All that said, Kubernetes and the entire ecosystem itself changes quickly. Keeping Kubernetes up to date for security and new functionality is critical to any deployment.

Kotlin is a programming language over the JVM (like Java). It is well known for being the official programming language for Android. But Kotlin is a reliable and powerful programming language that can also be used for server-side applications. I have been using Kotlin for 4 years to develop server-side applications. Here are the 6 reasons why it is a great choice for building your next backend: Java is one of the vastest ecosystems in the programming world.

Microservices and containers have taken the tech industry by storm. Kubernetes is one of the tools that has evolved to manage these new aspects of software development. It is an open-source system for automating deployment, scaling, and management of containerized applications. One of the biggest challenges that organizations face when adopting Kubernetes is performing monitoring tasks in this dynamic environment.

Today I’m excited to announce Fleet, a new open source project from the team at Rancher focused on managing fleets of Kubernetes clusters. Ever since Rancher 1.0 shipped in 2016, Rancher has provided a central control plane for managing multiple clusters. As pioneers of Kubernetes multi-cluster management, we have seen firsthand how users have consistently increased the number of clusters under management.

We’ve heard from many of our customers and prospects that they love Rancher but just don’t have the staff and expertise to operate the platform. Figuring out the compute, storage and networking architecture can be a challenge. Performing upgrades, backups and troubleshooting can also be time consuming. Monitoring the environment and knowing when to scale up or down, horizontally or vertically, is yet another thing to worry about.

In the last post, we compared kiam and kube2iam head-to-head. While kube2iam was declared the winner of that comparison, I feel that the case for kiam too compelling, and the setup too complicated, to not share my experience setting it up in production.