Operations | Monitoring | ITSM | DevOps | Cloud

Although every company can benefit from SREs, some need SREs more than others.

Software is one of the most complex tools invented for practical use. One misplaced character can break an entire application. So, careful testing is an essential requirement before publishing any code. In this article, you will learn about two fundamental types of software testing, unit testing and integration testing, and how your team can implement them in your CI/CD pipelines to validate your code quickly and deliver new features to your users with confidence.

A key goal for any DevOps team is to shorten the software development cycle and provide continuous delivery of high-quality software. Instead of continuing to the next logical goal, continuous deployment, most companies stop here. Developed code reaches the testing phase automatically, then, successful testing triggers a manual acceptance step. Only then is the application deployed into production.

A fundamental requirement for building a profitable product is finding ways to reduce costs and improve efficiency. When you’re operating in the cloud, it’s almost impossible to gain this insight without data. This is where data-driven software development comes in. Data-driven development is a software engineering approach that relies on data to guide the development process.

What a difference a year makes. Each year, data center, lab, and edge sites become more complex, more distributed, and more difficult to manage. Managers must stay up to date on the latest trends and advancements in data center management best practices and technologies to maintain uptime, increase the efficiency of capacity utilization, and improve the productivity of people.

Yesterday was my worst day for a very long time. We spent so much time promoting our Qovery Engine to the open-source community and getting those ~3800 stars. I woke up and discovered that we had lost all the stars and forks from our repository. But what happened?

Earlier this year, we surveyed over 5,700 global IT professionals and asked them what the most pressing challenges they faced in Database DevOps and Monitoring are. We also asked specific questions to gauge what trends we could spot in the industry and compared the responses to the last 3-5 years of data we have.