itlightning/sparklogs
Query and analyze SparkLogs: system and application logs plus device health and state over time, one host or the fleet.
From a prior SparkLogs investigation summary, derive candidate cause hypotheses with confirm/refute steps and confidence. Use when the engineer wants cause analysis after findings exist.
Query SparkLogs logs and device health/state over time to answer what happened on a host or across a fleet. Counts, timelines, disk, CPU, patches, Windows events, other system and application log events, installed software, collection health. Conversational answers from SparkLogs telemetry.
Send feedback to SparkLogs about this session (positive, negative, neutral, a bug, or an idea), after the user picks how much detail to include and approves the exact text. Use when the user asks to send feedback. Offer feedback once per session if the user is frustrated or did not get a good result.
Cited SparkLogs investigation: gather logs and device health/state into a structured system-condition summary with query URLs, confidence, and what was not checked. Use when the engineer needs a thorough ticket write-up or a full investigation report.