Chronosphere announced a new Partner Program.
By integrating with providers across key domains—including LLM Monitoring, Real User Monitoring (RUM), Synthetics, Incident Response, and Profiling—Chronosphere and its partners Arize, Checkly, Embrace, Polar Signals, and Rootly fill critical gaps to deliver customer value that goes beyond cost savings.
"Observability is mission-critical for the enterprises we serve, when stakes are high and needs are complex across the entire lifecycle," said Martin Mao, CEO and Co-Founder, Chronosphere. "While an all-in-one platform may be sufficient for smaller organizations, global enterprises demand best-in-class depth across each domain. This is what drove us to build our Partner Program and invest in seamless integrations with leading providers—so our customers can operate with confidence and clarity at every layer of observability."
Benefits of the Chronosphere partner ecosystem include:
- AI agent and LLM monitoring: Arize and Chronosphere integrate LLM monitoring with full-stack observability, ensuring accurate, reliable, and scalable AI services. This allows users to identify inference issues proactively, link model behavior with backend systems, and fully control AI data.
- User-focused observability (RUM): Chronosphere and Embrace integrate RUM data from mobile and web directly into Chronosphere's OpenTelemetry-native platform. Developers can correlate individual user sessions with backend traces, closing the gap between frontend behavior and service performance to detect issues faster, keep end-users happy, and ensure reliability at scale without vendor lock-in.
- Continuous profiling: Polar Signals enhances Chronosphere's observability platform with continuous profiling for AI and traditional workloads. The integration provides nanosecond-level, source-code-accurate insight into CPU, GPU (including NVIDIA CUDA kernel execution), and memory utilization, enabling teams to understand performance bottlenecks in AI inference and training pipelines. This combined solution enables organizations to pinpoint root causes in complex AI workloads, optimize GPU utilization, reduce cloud costs, and accelerate troubleshooting.
- Proactive synthetic monitoring: Checkly and Chronosphere combine proactive synthetic monitoring with real-time observability to deliver reliable customer experiences. They catch issues early, correlate frontend and backend systems, and accelerate mean time to recovery (MTTR) using open-source formats like Playwright and OpenTelemetry (OTel).
- Incident management: Chronosphere's precise alerts trigger Rootly's incident workflows in Slack or Teams, enabling engineers to collaborate, assign roles, and resolve issues within their existing communication channels.
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