Best AI SRE Agents for Opsgenie

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Rootly redefines incident management with a fully integrated, AI-powered platform designed to simplify and accelerate the entire reliability workflow. From intelligent on-call management to automated incident response and retrospectives, it eliminates repetitive tasks so engineers can focus on problem-solving. The platform’s AI SRE module performs real-time root cause analysis, suggests fixes, and predicts resolution steps based on millions of real-world incidents. Through seamless integrations with Slack, Microsoft Teams, Jira, and Zoom, Rootly embeds reliability directly into team workflows. Its automation engine streamlines communication, tracking, and reporting, cutting resolution times by up to 50%. Built for scalability, Rootly adapts to teams of any size—from startups to Fortune 500 enterprises—without sacrificing simplicity. Users can also publish automated status pages to keep customers informed and reduce inbound support. With award-winning support and reliability baked in, Rootly enables organizations to strengthen uptime, operational efficiency, and engineering wellness.

Palo Alto Networks Cortex XCOR is an AI-powered observability platform that provides monitoring, troubleshooting, and operational intelligence across applications, infrastructure, and end-user experiences. The platform collects and analyzes logs, metrics, traces, and events to provide visibility into distributed systems and cloud-native environments. Its XCOR Operator provides a conversational interface that enables engineers to query system data, investigate performance issues, configure alerts, and create dashboards using natural language. AI Investigations automatically correlates telemetry signals and system dependencies to identify probable root causes and reduce incident resolution times. Operational Fabric maintains contextual information about system topology, historical incidents, user behavior, and operational knowledge to support AI-driven investigations. Application observability capabilities include automated service discovery, dependency mapping, service-level objective monitoring, and distributed tracing. Real user monitoring and synthetic monitoring help teams evaluate application responsiveness, browser performance, and potential issues affecting digital experiences. The platform's Optimization Engine identifies low-value telemetry and applies filtering, sampling, and aggregation rules to reduce unnecessary data storage costs. Cortex XCOR supports OpenTelemetry-based data collection, scalable infrastructure monitoring, and consumption budgets for controlling observability spending across enterprise environments.