Operations | Monitoring | ITSM | DevOps | Cloud

Artificial intelligence (AI) has arrived in the workplace, powering everything from the personalization of tailored experiences, to automation, to predictive analytics, all for the purpose of better decision making. No longer a buzzword tossed around in boardroom brainstorming or futuristic planning sessions, AI is a present-day reality reshaping how businesses operate. Generative AI kicked off the revolution, and its rapid adoption is changing how humans create and work.

AI and automation have cemented themselves as pillars of enterprise operations. Both have brought measurable benefits to organizations: efficiency gains, streamlined operations, and new revenue opportunities, to name a few. And with new capabilities like agentic AI bursting onto the scene, AI and automation will only become more impactful in the coming years. But accompanying these new capabilities are new complexities, and they’re evolving just as fast as the technologies themselves.

Atlassian’s recent end-of-life announcement formalized what Opsgenie users have experienced for years: a platform with stagnant innovation. Now officially on maintenance mode – no new features, no innovation, no future – Opsgenie customers have an important choice to make: settle for basic ‘good enough’ capabilities baked into Atlassian’s JSM, or upgrade to a purpose-built platform that takes incident management seriously.

Given the current climate in the federal government, it’s critical that public sector IT leaders find innovative solutions to do more with less. That’s a real challenge for these leaders who must balance with current alert backlogs against their agency limited IT budget and resources. Everyday, more than a thousand alerts to track down and as response times are slowing and some incident managers are burning out.

OpsGenie has served many teams well for years, but with Atlassian’s OpsGenie 2027 sunset announcement and as it enters its maintenance phase, it’s time to look forward and plan your next move. Running tomorrow’s operations on yesterday’s technology isn’t just risky – it’s holding you back. This isn’t just a transition – it’s an opportunity to leap ahead.

When we’re talking about incidents, we know it’s not a matter of if, but when. It spares no systems: ours, yours or your vendors’. We’ve all seen widely-used products experience incidents, and the domino effect it has on all operations relying on them for seamless functionality. Vendors offering narrow, chat-centered incident management tools might seem attractive at first glance, but they fundamentally misunderstand the complexity of enterprise operations.

The push towards digital transformation and cloud-native infrastructure is massive, yet organizations also need to maintain legacy capabilities. With this pressure comes the need to manage operations with the same rigor and automation we apply to infrastructure, coding, and security. Many organizations have embraced the ideas of everything in a pipeline and all things as code.

Operational excellence isn’t just a goal—it’s critical for survival for all companies. And, when powered by AI and automation, it’s a strategic competitive differentiator. With over a decade of AI and ML experience in our platform, PagerDuty pioneered the Incident Response space. And now, PagerDuty is redefining what modern operations can look like in the era of AI and automation.

You can no longer afford to ignore the silent profit killers lurking in your operations. From bloated IT budgets to unplanned downtime and inefficient incident management, these hidden costs can drain your revenue, eroding customer trust, and exposing your company to financial penalties. The solution? A radical shift toward lean and modern Network Operations Centers (NOCs), digital resilience, and a relentless pursuit of inefficiencies.