Operations | Monitoring | ITSM | DevOps | Cloud

After spending hours or even days manually testing your software, you may be wondering whether or not there’s a better way. The good news? There is.

ATS Group and Galileo are pleased to announce the appointment of Andy Wojnarek as Chief Technology Officer. Andy’s appointment reflects the evolution of a technical leadership role he has developed over more than 16 years with the company, grounded in hands-on expertise, cross-functional influence, and a sustained focus on solving complex infrastructure and observability challenges for clients.

CertBot assumes every server that needs a certificate should also know how to request one, validate domain ownership, handle renewals, and manage failures. This makes sense with a handful of servers. One server, one cert, done. But infrastructures grow. Now you’ve got web farms sharing wildcards, load balancers, mail servers, VPN appliances. The “every server for itself” model doesn’t scale and isn’t sustainable. Even the Let’s Encrypt community knows it.

Gartner predicts that AI agents will be implemented in 60% of all IT operations tools by 2028, up from fewer than 5% at the end of 2024. This acceleration has sparked an explosion of AI SRE solutions, from enterprise platforms to open-source alternatives, all promising faster root cause analysis and reduced MTTR.

In 2026, outages are certain. Master Resilience Velocity to survive the Complexity Horizon and turn a 15-hour AWS outage into a non-event.

ITIL 5 launched in January 2026, and for the first time in the framework's 40-year history, AI governance is front and center. If you're running incident management, on-call rotations, or building operational tooling, this matters: the gap between AI adoption and AI governance is about to become a compliance and operational risk issue. I’m not usually a big ITIL fan, but this guidance has some genuinely useful framing and questions.

We recently sat down with James Phillips, Senior IT Leader, to talk about test data management (TDM) and the growing attention it’s getting from the senior IT leaders. It’s been prompted by the recognition that provisioning test and development environments with realistic production-like data improves the quality of code being developed, reduces errors, and deliver new features to customers faster.

The infrastructure management landscape is undergoing a fundamental transformation. Infrastructure as Code has already revolutionized how we provision and manage cloud resources by treating infrastructure as software. The next evolutionary step involves intelligent automation that can understand, adapt, and optimize these configurations independently.