Announcing AIOps partnerships with Dynatrace, New Relic, and BigPanda

As part of the Service Collection announcement at Team ‘25 Europe, we’re excited to introduce new partnerships with leading observability vendors—Dynatrace, New Relic, and BigPanda—to help IT teams predict and prevent incidents faster, while still helping to recover service quickly when issues do arise.

In the age of heightened customer expectations and IT complexity, downtime is more detrimental than ever for modern organizations, with the potential of billions of dollars in lost revenue and brand perception. Given the large consequences for service disruptions, IT Operations teams are under immense pressure to improve the resilience and performance of digital products and services—yet, they’re faced with mounting challenges:

• Tool sprawl: Distributed, multi-layered infrastructure results in fragmented data across monitoring, logging, and ITSM platforms, reducing the ability to accurately prevent issues before they occur
• Disconnected incident response: Incident management is often isolated from upstream monitoring and observability signals, leading to slow, manual triage
• Operational inefficiency: Manual investigation and resolution processes increase downtime, erode customer trust, and drain engineering resources

The best customer experiences result when downtime is avoided to begin with. This is where Atlassian and our new partners deliver together by unifying AI-driven observability insights with Atlassian’s AI-powered service management solution. This combined solution allows IT teams to quickly detect anomalies, prioritize affected services, identify root causes, and ultimately reduce mean time to recovery (MTTR)—all while enabling teams to reclaim valuable time. Let’s take a closer look at the integrations!

Unite AI-powered observability insights with end-to-end incident management

With new integrations to Dynatrace, New Relic, and BigPanda for Jira Service Management, IT Ops teams now have instant access to AI-driven observability insights for smarter incident detection, faster diagnosis and remediation, and enhanced post-incident reviews — all within Atlassian’s end-to-end incident management workflows.

Dynatrace and New Relic are comprehensive observability platforms that leverage AI and real-time analytics to monitor, detect, and resolve issues across complex cloud environments, empowering teams with deep visibility and actionable insights. With new agentic integrations between Dynatrace, New Relic, and the Atlassian Rovo Ops agent, IT teams can instantly access AI-driven observability insights to ensure faster incident detection, smarter remediation, and streamlined post-incident reviews.

BigPanda connects data from all your monitoring and observability tools, uses AI to filter out noise, and detects what matters most. This integration unifies cross-domain observability with end-to-end IT service management, enabling IT Ops teams to automate incident response and enhance service reliability across the enterprise. By combining BigPanda’s AI detection and response layer with robust incident and problem management in Jira Service Management, teams can automate every stage of an incident—from detection to remediation—for faster, more reliable resolution.

Here’s a breakdown of what’s possible with the new integrations:

• Faster incident detection via enriched context: Instantly surface anomalies and alerts right within your incident management workflows—no more jumping between tools, enabling faster diagnosis and reducing unnecessary escalations. Correlate fragmented alerts into a single Jira Service Management ticket that is automatically enriched with topology, CMDB, and change data.
• Smarter remediation with AI-driven insights: Deeper integrations with the Rovo Ops agent leverage third-party observability data to quickly identify root causes and provide actionable steps, enabling teams to respond quickly while reducing manual effort in incident triage and prioritization. Powered by the BigPanda integration, incidents are automatically categorized and prioritized by business impact, empowering L1 support teams to respond quickly and accurately with reduced manual effort.
• Enhanced post-incident reviews: After resolution, teams can use Rovo Ops to generate a post-incident review (PIR) by pulling timelines, incident details, and monitoring data into a Confluence page. The PIR includes rich observability data, summarized causes, and pre-filled prevention steps—helping teams continuously improve their incident response and prevent similar incidents in the future.

Predict and resolve incidents faster with a unified solution

By unifying AI-driven observability, AIOps, and ITSM on a single platform, your team can dramatically reduce downtime, reclaim valuable engineering time, and build more resilient operations.

Sign up for the Early Access Program to get a sneak peek into the new third-party observability integrations. Also, check out our website to learn more about how Atlassian is helping IT Ops teams resolve incidents faster. Stay tuned for more details on future partnerships!