Operations | Monitoring | ITSM | DevOps | Cloud

Your team has worked hard on a software product for months, and it’s finally ready to release to your users! But then the worst-case scenario happens: a wide release soon indicates that the software is plagued with bugs and performance issues, resulting in poor reviews and widespread user dissatisfaction.

In this article, I’ll provide a guide to Git for non-developers. So, if you are reading this as a full experienced Git user, you may disagree with some of my statements. Don’t bother reading on; we recognize you as the expert! If, on the other hand, you’re new to Git, this piece is for you.

At the end of 2021, we published a blog post about the Autumn budget in the UK, what it meant for IT teams in the NHS, and why data management should be prioritised. We looked specifically at four key areas for sharing, monitoring, protecting, and accessing data that we believe are crucial elements of the digital transformation journey. Digital transformation is part of the NHS Long Term Plan, a wide-ranging programme to upgrade technology and digitally-enabled care across the NHS.

This is the fifth part in the DevOps 101 series and it’s time to talk about automation. Before we get into it, I just want to recap what DevOps is. Microsoft’s Donovan Brown sums it up nicely in a single sentence: DevOps is the union of people, process, and products to enable continuous delivery of value to our end users. The important thing to remember here is the order in which he talks: people, process, and products. That’s the way DevOps works.

Organizations across a wide range of industries share a common goal: deploy stable applications that support their customers’ needs. Many of these organizations rely on the Datadog platform to get complete visibility into the health and performance of their applications, and we understand how important it is that our services are reliable. That’s why we leverage our own products to ensure that the platform works as expected.