Causely Pairs Its Causal Reasoning Engine with Gemini for Automated Service Reliability
Causely, the only AI SRE using a structured causal graph to enable deterministic automation, now leverages Google’s Gemini models to enhance how users interact with its Causal Reasoning Engine and is available today on Google Cloud Marketplace. Together, Causely’s causal inference and Gemini's language-to-query and summarization capabilities help teams proactively resolve issues and keep SLOs on track.
Causely’s New Integration with Grafana Labs Goes Beyond Observability to Understandability
GRAFANCON–Causely, the causal reasoning platform for modern engineering teams, today launches a new integration with Grafana Labs that automatically surfaces root causes directly within Grafana dashboards. Grafana Labs is the observability company behind the world’s most ubiquitous and open dashboards leveraged by over 25 million users around the world. The Causely platform utilizes purpose-built causal models to infer root causes automatically, saving engineers hours of manual correlation and guesswork.
Causely Launches New Integration with OpenTelemetry, Cutting Through the Observability Noise and Pinpointing What Matters
Causely, the causal reasoning platform for modern engineering teams, today launches a native integration with OpenTelemetry. OpenTelemetry has redefined observability by standardizing how telemetry data is collected and processed; however, the overwhelming volume of metrics, logs, and traces collected across an organization's cloud and microservices architecture can overwhelm teams, slow down workflows, inflate costs, and make it difficult for engineers to pinpoint root causes. Causely utilizes built-in causal models and advanced analytics to cut through the observability noise and automatically pinpoint what matters based on service impact.
