14 October 2021: Today, Canonical released Ubuntu 21.10 – the most productive environment for cloud-native developers and AI/ML innovators across the desktop, devices and cloud. “As open source becomes the new default, we aim to bring Ubuntu to all the corners of the enterprise and all the places developers want to innovate,” said Mark Shuttleworth.
Matt and I are out in Los Angeles this week for KubeCon 2021 this week. At the GitOpsCon event Tuesday we were excited to attend this Kubernetes session: GitOps in the Real World: Opportunities for Developer Experience Improvement.
Mattermost v6.0 is generally available today, launching a redesigned integrated platform. This release includes new platform navigation, plus new features and improvements to Channels, Playbooks, and Boards. A new Mattermost Desktop v5.0 application is released, and multiple features have been promoted to generally available.
Today, too many software organizations are in crisis. They face soaring expectations on delivering digital solutions, a complex and fast-changing array of new technologies and new threats to understand, and a limited pool of experienced developers, SRE, and SecOps professionals ready to execute in modern environments. What’s worse, technical talent is too often misconfigured.
Businesses around the world increasingly rely on the benefits of container technology to ease the burden of deploying and managing complex applications. Containers group all necessary dependencies within one package. They are portable, fast, secure, scalable, and easy to manage, making them the primary choice over traditional VMs. But to scale containers, you need a container orchestration tool—a framework for managing multiple containers.
In a previous post, we talked about the increasing adoption of Platform Engineering teams. The post covered topics such as defining Platform Engineering and the roles and responsibilities of the team. When building an internal platform, a clear goal that many teams want to achieve is: Even though this is key to a successful platform team, this responsibility increases complexity, costs, support time, and more. Not to mention that this can be a long, very long journey.
To enjoy the cost and efficiency advantages of multi-cloud services while also protecting data, avoiding vendor lock-in, and setting the foundation for a smooth future development trajectory, businesses are quickly expanding their business models towards multi-cloud technologies. In this blog let’s explore the top ten benefits of multi-cloud strategy and know why you should have a multi-cloud strategy
This is the fourth (and second-last) part of our FinOps series - Optimize. Here is a list of posts in the series: Note: I am ex-AWS, so you will notice a lot more focus on AWS tools and services as examples here, however all cloud providers have similar services and tools.
The link between DevOps and artificial intelligence for operations (AIOps) has only started to become clear within the last few years. Monitoring and alerting has evolved from a "black box approach," where you don't actually know what's happening, into observability, where you have access to data that provides everything you possibly need to know about your IT systems. How does AIOps come into play? AIOps is the practice of applying artificial intelligence, machine learning, and advanced analytics to automate and improve IT operations. Since it entered as a formal discipline with Gartner in 2016, IT teams have been trying to figure out how to employ it to make their lives easier.
