Operations | Monitoring | ITSM | DevOps | Cloud

How is AI reshaping engineering—and what does it mean for the future of work? At our first GTA Boston Hub event of the year, we brought together engineering leaders from Boston Consulting Group and Athenahealth to dive into one of the most pressing topics today: the rise of generative AI. In this panel, we explore: Key takeaway: This isn’t “human vs AI”—it’s human augmented by AI. The real advantage lies in how we adapt, collaborate, and lead in this new era.

Harness AI understands GitOps entities and can detect misconfigurations in manifests, identify missing dependencies or clusters, diagnose connectivity issues, and suggest fixes in context. With the expansion of the "Ask AI" assistant into GitOps, teams can troubleshoot issues directly where they occur, not after the fact.​

When it comes to emergencies, it's not if something will happen, it's when. Whether it's a natural disaster or a cyberattack, IT teams must always be at the ready to save as much data as possible and keep the organization safe. Prevention is an important step, but being prepared for when the worst happens could save valuable time, money, and information from being lost.

What if your IT operations platform didn’t just alert you to problems but actually understood, explained, and guided you to the best outcomes? In this video, ScienceLogic CEO Dave Link dives into Skylar Advisor, an AI-native partner designed to transform how teams manage complex IT environments.

What happens when you give an AI agent hundreds of API endpoints and hope it figures out the right workflow? Spoiler: it nearly gets it right... but never reliably. In this talk, Frank Kilcommins (Head of Enterprise Architecture at Jentik and co-author of the Arazzo Specification) breaks down why API documentation quality is the core knowledge problem holding agentic systems back (and how Arazzo solves it).

It's Friday, which means it's time to deploy. Join us for all the latest news about DevOps, Platform Engineering, CI/CD, and of course, Octopus Deploy.

The better you can describe a bug, the better AI can help fix it.

Stop living in the past. See how to use real production traffic to automate your API testing with zero code changes. Replay real-world patterns in your CI/CD and catch regressions before your users do. Learn more: speedscale.com.

In this episode of Braintrust, Cortex co-founder and CTO Ganesh Datta sits down with Rob Zuber, CTO at CircleCI. Rob shares how the industry's move away from dedicated QA has cost teams more than they realize, and explains how AI is changing what good software quality actually looks like.

Are you getting the most out of your GitHub Copilot investment? In this week's, Cortex Engineer Aaron Warrick demonstrates how to turn "AI adoption" from a buzzword into a measurable metric. Using the CQL (Cortex Query Language) Query Builder, you can now pull real-time GitHub Copilot data into your service maturity scorecards. In this video, we cover: How to use the new AI Tools Analysis in the CQL Query Builder.