Event Overview
The Cloud Native Computing Foundation’s flagship conference brings together adopters and technologists from leading open source and cloud native communities. Join for four days of collaboration, learning, and innovation to drive the future of cloud native computing.
What Cortex XCOR (formerly Chronosphere) Can Do For You?
Cortex® XCOR™(opens in new tab) is Palo Alto Networks’ next-generation, AI-driven observability and autonomous remediation platform. It provides end-to-end control over costs, data volume, and operational complexity, empowering teams to focus on business outcomes and prevent downtime.
Key Features
- Cortex XCOR Operator & Autonomous Remediation: Combines a chat interface that guides domain-specific AI agents with the Operational Fabric—grounding autonomous operations in real-time system topology, operational memory, and human knowledge. When alerts fire, it automates root-cause analysis in minutes and delivers evidence-backed recommendations or direct recovery actions to prevent downtime.
- Full-Stack Observability & Telemetry Control: Unifies logs, metrics, distributed traces, and client-side Real User Monitoring (RUM) into a single plane—replacing static sampling with dynamic trace sampling to isolate microservice failures without budget overruns, stripping out low-value log data at ingest to lower TCO, pairing guided AI troubleshooting with metric optimization to eliminate spend on unqueried time series, and capturing 100% of web and mobile sessions as native OpenTelemetry to close the frontend observability gap.
- OpenTelemetry Native: Built around open-source standards (OpenTelemetry) to simplify collection, transformation, and routing across hybrid and multi-cloud environments without vendor lock-in.
- Cost Management & Optimization: Aligns observability spend with business value by eliminating up to 89% of telemetry noise while preserving key incident signals. It analyzes real-time usage to provide central guardrails and recommend precise label and field optimizations, preventing unexpected cost spikes caused by AI and Kubernetes data growth.
