Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring and compliance are, in many ways, synonymous. At the very least, there’s a big overlap in terms of defining and monitoring rulesets you care about. The time frame may vary; with monitoring, you might jump on an alert right away, as opposed to the compliance team’s quarterly audit, but the foundation remains the same. As our development cycles grow ever more dynamic, the need for automating repetitive tasks becomes all the more important.

Microsoft announced the general availability of Windows Subsystem for Linux 2 in the Windows 10 May 2020 update, also known as version 2004. Today Microsoft announced an update for Windows 10 which brings WSL 2 back to the Windows 10 May 2019 and November 2019 updates, also known as versions 1903 and 1909, respectively.

Want to know what actually goes on under the platform and behind the screens at Dashbird? We recently sat down for a Q&A with our CTO, Marek Tihkan, on leading and managing an engineering team. Today, we speak to Alex, one of the engineers on the Development team and the brain and elbow grease behind our newly launched Dashbird Atlas real-time 3D map of your entire serverless environment.

Software development (SDLC) value streams aren’t difficult to understand; you correlate all activity in the development process from planning to prod and relate activity to key objectives such as impact on revenue, application quality and user satisfaction. Unfortunately, most organizations approach value streams on an ad-hoc, manual basis. This approach to value streams requires significant effort, is prone to error and creates huge opportunity costs.

GitLab CI/CD is a tool that is built into GitLab. It allows you to create automated tasks that you can use to form a Continuous Integration and Continuous Delivery / Deployment process. You configure GitLab CI/CD by adding a yaml file (called `.gitlab-ci.yml`) to your source repository. This file creates a pipeline, which will then run when a code change is pushed to the repository. Pipelines are made up of a series of stages, and each stage can each contain a number of jobs or scripts.

This is the second in my series on the cloud. I started writing about cloud visibility and in this article, we take a look at cloud costs. If we look at the evolution of computing over the past 30 or so years, it has always been about monumental shifts in technology, which drive further and further innovation, efficiencies and – seemingly – cost reduction.

When you see a notification on your smartphone, your brain processes the request quickly and determines how to react. It’s an efficient process and your nervous system is built for this use case. By contrast, most Internet-connected systems work in a less event-driven architecture. If there’s a change in one service, you won’t know about it until you check.

Rancher Labs’ recent launch of Longhorn was in response to DevOps’ distress call for a cloud-native persistent storage solution for Kubernetes. At the time, industry pundit Chris Mellor posted that the company had entered into direct competition with its partners Portworx and Storage OS. A healthy dose of coopetition may be more like it.