Operations | Monitoring | ITSM | DevOps | Cloud

Let’s imagine, for a moment, that we live in a perfect world. In that world, you could check your company’s cloud bills and financial reports and find cleanly organized categories of spending that help you instantly understand where your money is going and why. Your engineers would meticulously label every spend item with useful metadata tags so you can clearly see which costs have increased and which are most affecting your bottom line.

Welcome to the August 2022 edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.

Implemented well, automation can be a powerful tool for accelerating and scaling DevOps processes to keep your team building and shipping code quickly. But knowing what and how to automate DevOps workflows can be challenging; every organization’s DevOps practices are unique, and there’s no one “right” way to approach automation. Let’s look at a few tips for approaching DevOps workflow automation to help your team move faster.

When you build a cloud-based application, you can choose to deploy the resources using the GUI (Graphical User Interface) or CLI (Command Line Interface) provided by the cloud provider. This approach can work well with just a handful of resources, but as the complexity of your application increases, it can become difficult to manage the infrastructure manually.

For a machine to run and store the loaded applications, every processor needs data capacity. Storage is an serious issue if you work in IT since you will have bundles of software packages to run a single application. When RAM is nearly exhausted, the Linux swap function can help you. Using swap space instead of RAM in Linux systems can slow down the system’s performance. At the same time, there are more benefits when swap space is enabled.