Operations | Monitoring | ITSM | DevOps | Cloud

AI is transforming how businesses operate and leaders are being held to higher expectations. Service must be unified, intelligent, and resilient across your entire organization, not patched together and slowed down by legacy constraints. Learn how Atlassian’s AI-powered Service Collection, including Jira Service Management, Customer Service Management, Assets, and Rovo, enables teams to meet this moment.

Engineering orgs track AI maturity, production readiness, incident preparedness, and a dozen other standards. Each one usually lives in its own scorecard, which makes it hard to see where the org is actually stuck. For this Feature Friday, our Principal Product Manager Christine Byun walks through the new All Scorecards report, now in private beta. In this demo: Birdseye showed you one standard in detail. All Scorecards zooms out so you can see the whole engineering org at once.

In this teaser for an upcoming episode of Perspectives from the Edge, Wendy Shearer, Director of Partners & Ecosystems at Pulsant, speaks with Kate Gallagher, Managing Director at Manchester Digital, about how Manchester has become one of the UK’s leading technology ecosystems and a model for regional innovation and growth.

Deployments that need multiple reboots shouldn't need a technician hovering over them the whole time. But for most teams, that's exactly what happens — you kick off a job, walk away, and come back to find it stalled halfway through waiting for something nobody handled. Product Manager, Dan Myers, joins this stream to show how these new updates changes enterprise-scale provisioning and deep OS deployments, making your automation smarter than ever before. What you'll learn.

As organizations work to bring humans, agents, and automation together, teamwork is getting even more complex. If your AI strategy feels like a collection of one-off experiments layered onto disconnected tools and siloed knowledge, join Atlassian leaders to see how Teamwork Collection brings together Jira, Confluence, Loom, and Rovo into a connected foundation for human-AI collaboration at scale.

Join this 5-part series designed to help IT teams move from reactive, fragmented processes to a more structured, connected way of working. Each session focuses on a core area, from incident resolution and CMDB visibility to employee experience, service catalog design, and change governance, giving you practical frameworks you can apply right away. You’ll walk away with: Faster, more consistent incident resolution.

In this week’s Zero Ticket Minute: everyone is building AI agents, but no one is coordinating them. More agents = more chaos. The shift is to connect signal to resolution. That’s how you reduce tickets.

Relying on AI and interns to build custom traffic replay tools is a scalability nightmare that introduces security risks, brittle code, and massive maintenance costs...use Speedscale instead. Learn more: speedscale.com.

Last year, we went fully agent-based at Rootly. Cursor, Claude Code, Codex, all of it. The productivity gains were real. However, Rigel, senior engineering manager at Rootly, started noticing a pattern emerging in his team.

Critical vulnerabilities are critical because they're easy to exploit — but most breaches don't even need them. Tony explains why phishing remains the dominant attack vector, why strong instrumentation matters for forensics (tracing an API call through a database to see exactly what was leaked), and how observability data becomes security data when something goes wrong. The system is harder to breach than the human. And that's the whole game.