Statistical Clustering May Reduce LLM Observability Costs Without Inference
Seldon AI argues trace clustering can work without running inference on every request, potentially lowering observability spend.
#observability
Xenoeye: Network Monitoring via NetFlow and SQL, Without AI
A GitHub project replaces AI-driven network anomaly detection with PostgreSQL queries and Grafana dashboards for transparency and auditability.
Halo Brings Local LLM Inference to Agent Debugging
Context Labs releases Halo, an open-source debugger for AI agent traces that runs inference on-device, avoiding cloud dependencies for observability.
Elastic acquires DeductiveAI for up to $85M to bolster observability platform
Enterprise software company Elastic has agreed to acquire AI-powered debugging startup DeductiveAI in a deal valued at up to $85 million.
MLflow AI Gateway Adds Request-Level Tracing for Production LLM Services
Databricks' MLflow AI Gateway now supports distributed tracing, enabling teams to debug multi-hop LLM requests in production environments.