AI Topic: Observability Platforms
Comprehensive platforms that combine metrics, logs, and traces with AI-powered analytics to provide deep insights into complex distributed systems and application behavior.
AI Tools in Observability Platforms (4)
Full-stack observability platform that consolidates logs, metrics, traces, RUM, and synthetic tests and uses AI to detect and automatically remediate issues.
End-to-end platform for LLM evaluation and observability that benchmarks, tests, monitors, and traces LLM applications to prevent regressions and optimize performance.
Galileo
9dEnd-to-end platform for generative AI evaluation, observability, and real-time protection that helps teams test, monitor, and guard production AI applications.
Automated evaluation and monitoring platform that scores, detects failures, and optimizes LLMs and AI agents using evaluation models, experiments, traces, and an API/SDK ecosystem.
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