What problem does it solve?
Troubleshoots Memcached service issues by turning ambiguous symptoms into a structured diagnostic path that identifies where availability, throughput, cache efficiency, connections, or restart behavior is degrading.
Core Features & Use Cases
- Operator playbook-aligned triage: Guides an agent through the Memcached diagnostic tree by signal domain (Availability, Throughput, Hit Rate & Efficiency, Connections, Memory & Saturation, Internal State, CPU/host resources, Security & Integrity) using the same core playbook logic.
- MCP-driven verification: Uses MCP to query Netdata chart contexts for process liveness, uptime resets, command rates, flush events, hit ratio, and related anomalies so results are based on observed telemetry rather than guesswork.
- Remediation confirmation loop: Re-runs the same MCP verification queries after applying remediation to confirm signals return to expected ranges (and flags cases where the fix does not hold).
Quick Start
Ask the AI agent: Diagnose my Memcached alerts by querying Netdata via MCP, following the Memcached operator playbook signal domains, and recommend the most likely remediation with verification queries.