A Cluster Stall Looks Healthy on Every Host. The Cause Is in the Pattern Across Hosts.

Ingero Fleet's latest release introduces a new component called "Echo," which serves as an AI-investigation surface for analyzing cross-rank causal questions in distributed systems. This development addresses the limitations of per-host MCP (Management Control Plane) servers, enabling agents to investigate issues that span multiple nodes within a cluster.

Key Features and Benefits

1. Cross-Rank Investigation:

   • Echo allows AI agents to query the entire cluster's event history rather than being limited to individual host data.
   • It provides tools like find_outlier_nodes, event_history, and run_analysis that help in identifying anomalies across nodes.

2. Event History and Causal Chains:

   • Agents can retrieve detailed event histories of specific nodes during a given time window, including causal chain IDs to trace the sequence of events.
   • The system ensures that causal chains are preserved with all attributes intact when transferring data from individual hosts to Echo.

3. SQL Guard for Security:

   • A lexical SQL guard is implemented at both the MCP boundary and within Echo itself to prevent unauthorized access or malicious queries.
   • This guard blocks any query attempting to read external files, introspect DuckDB's catalog, or perform other

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