troubleshoot-memcached

Diagnose Memcached performance issues using Netdata MCP telemetry.

1|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/netdata/skills --skill troubleshoot-memcached
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: troubleshoot-memcached
Source: https://github.com/netdata/skills/tree/main/skills/troubleshoot-memcached
Command: npx skills add https://github.com/netdata/skills --skill troubleshoot-memcached

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

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.

Frequently Asked Questions about troubleshoot-memcached

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I troubleshoot Memcached performance issues like low cache hit ratio and elevated latency?

Memcached troubleshooting is handled by traversing signal domains like availability, throughput, hit rate, and connections via MCP signal trees. It applies operator playbook logic to identify degradation causes using observed Netdata telemetry rather than guesswork.

Why does my Memcached instance show unexpected restarts and uptime resets during incident triage?

Memcached uptime resets and unexpected restarts are diagnosed by querying Netdata chart contexts for process liveness and metric anomalies. The Skill identifies administrative actions like flushes or internal state changes that correlate with availability degradation and saturation events.

Can I use Netdata MCP to diagnose Memcached connection-related issues and memory saturation?

Yes, Netdata MCP access is required to query chart contexts for process liveness and metric anomaly discovery. The Skill traverses Memcached signal groups for connections and memory saturation to verify observed telemetry against domain rules during incident triage.

What is the best way to verify a Memcached remediation fix actually resolved the cache hit rate drop?

Memcached remediation is confirmed through a verification loop that re-runs the same MCP queries after applying fixes. This checks whether hit rate, throughput, and error signals return to expected ranges and flags cases where the applied remediation does not hold.

Does Memcached diagnostic triage work for analyzing host-level CPU and resource saturation alongside cache efficiency?

Yes, Memcached diagnostic triage optionally correlates cache efficiency signals with host-level CPU and resource metrics. It traverses signal groups for memory saturation, internal state, and host resources to provide a comprehensive diagnostic path during incident triage.

When should I not use an automated signal tree for Memcached incident triage?

Automated Memcached signal trees require MCP access to Netdata for process liveness and chart contexts. If your environment lacks Netdata telemetry integration or you need to diagnose disconnected instances without metric anomaly discovery, this approach is not suitable.