Operations | Monitoring | ITSM | DevOps | Cloud

I was recently joined for a live webinar by Tony Maddonna (Microsoft Platform Lead, Enterprise Architect & Operations Manager at BMW) and Hamish Watson (DevOps Alchemist at Morph iT) to discuss their experiences with digital transformation and the impact it had on them, their teams and the wider organization.

At the end of last year, we announced that Redgate’s database cloning technology was getting an upgrade: Multi-RDBMS, instance-level clones, and support for containerized workflows. This next generation of database provisioning provides DevOps test data to more teams for fast, quality releases across your software organization. Today, we invite you to join the early access program (EAP) for Redgate Clone.

In this DevOps 101 series, I introduce the concept of DevOps and talk about how you can include the database as a natural partner. In the previous post in the series, I discussed how automation introduces faster and more frequent deployments as a key benefit. We’re now going to take a deep dive into the value you can unlock through frequent deployments using database DevOps, along with how you get started doing them.

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.

In this fourth session in our DevOps 101 series, we’re going to delve into Database DevOps specifically. But before we get going, I just want to do a quick check to make sure we’re all on the same page. Donovan Brown’s definition of DevOps seems to have been adopted by almost everyone nowadays because it’s very clear: “DevOps is the union of people, process, and products to enable continuous delivery of value to our end users”.