Operations | Monitoring | ITSM | DevOps | Cloud

Containerization and Kubernetes have taken the DevOps world by storm in the past decade. More and more companies have turned to this technology to enhance their deployment workflows and cut costs. Examples like Pokemon Go and OpenAI would not have been feasible without Kubernetes. While Kubernetes is a growing technology in the current times, it comes with a relatively steep learning curve.

Ubuntu is fast becoming the platform of choice for data scientists worldwide – which is why HP is empowering its customers to launch Ubuntu environments directly on their Windows machines. In addition to native Ubuntu offerings, select Z by HP workstations are also available with Windows Subsystem for Linux 2 (WSL 2) pre-installed and pre-enabled, giving users the ability to accelerate data science workflows on Ubuntu straight out of the box, without leaving their native Windows OS.

This week, the Multipass team announced a new version of the VM manager and local mini-cloud. Multipass makes it easy to run Linux virtual machines on Mac, Windows, and Linux hosts by providing a streamlined CLI that abstracts away the admin overhead of working with VMs. This update comes with some exciting new features, including enhanced networking and suspend capabilities on macOS, and the ability to authenticate clients, which allows Multipass to run as an unprivileged user.

Epinio takes developers from application to URL in one step. In this blog post, I’m going to tell you about the new Epinio extension for Docker Desktop, that allows you to run Epinio on your laptop. DevOps are very interested in the details of containerized workloads and Kubernetes especially, but for developers, the abstraction layer provided by Kubernetes might not be too relevant to their daily work.

Properly leveraging telemetry is a true game-changer for any IT department looking to optimize and stabilize its systems. Telemetry provides the first step to answering the all-important question, “What’s happening in my network?” It’s your eye into the inner workings of your system, giving you a view into how different components are performing.

You might be familiar with GameDays at this point. From watching our Introduction to GameDay webinar, viewing our Demo video, and reading our tutorial, you’ve probably learned that GameDays were created with the goal of increasing reliability by purposely creating major failures on a regular basis. Better yet, perhaps your own team has run a GameDay and learned something new about their services’ behavior during failure scenarios.

We are happy to announce that we launched Cloud 66 on the GitHub Marketplace. Our presence on GitHub Marketplace allows developers to deploy their code directly from their repository to their own servers on any cloud in minutes.