If you’re a developer, a DevOps engineer or just a person fascinated by the unprecedented growth of Kubernetes, you’ve probably scratched your head about how to get started. MicroK8s is the simplest way to do so. Canonical’s lightweight Kubernetes distribution started back in 2018 as a quick and simple way for people to consume K8s services and essential tools.
IBM’s AIX operating system has powered zillion mission-critical applications for over three decades, providing enterprise applications the edge to do more. And, let’s not forget that a huge chunk of BFSI applications is still nesting on AIX within their own data centers due to its security, performance, and reliability.
It’s never too late to learn. As any reinforcement learning agent, we get rewarded by the new knowledge that we acquire. Likewise, we learn by doing, by rolling up our sleeves and getting to work. (Do you want a hands-on book on Reinforcement Learning? Here is my personal favourite) March has shown us great examples of this. From robots learning to encourage social participation to detect serious environmental problems, it was a learning month.
Today, Canonical announces full enterprise support for Kubernetes 1.21, from cloud to edge. Canonical Kubernetes support covers MicroK8s, Charmed Kubernetes and kubeadm. Starting with 1.21, moving forward Canonical commits to supporting N-2 releases as well as providing extended security maintenance (ESM) and patching for N-4 releases in the stable release channel.
Canonical ROS ESM customers now can access a long-term supported ROS and Ubuntu environment by the Ubuntu and ROS experts. Learn more about ROS ESM. 6 April 2021: Canonical and Open Robotics announced today a partnership for Robot Operating System (ROS) Extended Security Maintenance (ESM) and enterprise support, as part of Ubuntu Advantage, Canonical’s service package for Ubuntu. ROS support will be made available as an option to Ubuntu Advantage support customers.
While containers are known for their multiple benefits for the enterprise, one should be aware of the complexity they carry, especially in large scale production environments. Having to deploy, reboot, upgrade or apply patches to patches to hundreds and hundreds of containers is no easy feat, even for experienced IT teams. Different types of Kubernetes solutions have emerged to address this issue.
