Operations | Monitoring | ITSM | DevOps | Cloud

Many IT teams rely on monitoring tools that reveal what is happening but do little to guide next steps. Dashboards show spikes, alerts fire nonstop, and yet issues still take too long to resolve. Traditional monitoring focuses on visibility, but visibility alone no longer matches the speed or complexity of modern digital operations.

Even the best site reliability engineers (SREs) spend too much time doing reactive work—triaging incidents, gathering context, escalating to the right teams, and documenting what happened. That work is essential, but it’s not where an SRE’s highest value lies. These engineers are hired to build and maintain resilient systems, not play air-traffic control with every alert that hits their queue.

Large enterprises today manage more machine data than ever before. From legacy applications to modern, ERP and supply chain systems to cloud infrastructure, cybersecurity, and customer-facing applications, much of this valuable data remains trapped in silos, limiting its potential to drive faster decisions, strengthen resilience, and meet the demand for optimum service availability.

The energy at Microsoft Ignite this year was electric. AI was everywhere, and the possibilities are limitless. As developers and operations teams explore what AI can do, one thing became clear: the future isn’t about switching between tools. It’s about intelligent agents working together to help humans solve problems faster. At PagerDuty, we’re building on that excitement.

Most operations teams are stuck in a reactive loop: Resolving incidents as they happen, then moving on to fight the next fire. This approach keeps things running in the short term, but prevents responders from documenting their learnings in a way that improves overall system resilience. There are practical reasons for this.

Modern systems produce endless streams of metrics. CPU usage, request volume, cache hit rates, node counts, queue depth, the list keeps growing. With this much data, it’s easy for teams to get lost in dashboards without knowing what actually matters. That’s why DevOps and SRE teams rely on the 4 Golden Signals of System Reliability. They provide the simplest and clearest way to understand user experience and system health.

The Incident Management vs. Change Management are two such moments that highlight a core difference teams face every day. One is a reaction to failure. The other is a planned improvement. That’s the heart of incident management vs. change management. Both keep systems reliable, and both help teams move faster without breaking things. Let’s explore how they differ and how they work together.

Atlassian is shutting down OpsGenie. New sales stopped on June 4, 2025. Complete shutdown happens on April 5, 2027. Atlassian wants you to migrate to Jira Service Management (JSM). But like many OpsGenie users, you probably have questions. What is JSM? How does it handle alerting, escalation policies, and on-call schedules? What automation options does it have? Is it the right fit? And more. This blog breaks down everything you need to know.