Improve service by standardizing ticket work through SparkLogs data + AI + your tailored process, operating in your current systems and workflow. Get root-cause writeups for any ticket in minutes. Analyze your IT fleet every day for unknown issues, unexpected system changes, and recurring problems.
Head off misdiagnosis and dead-ends early.
It's like having your L3 team hunt for issues fleet-wide every day, analyzing 1000s of signals on each device comprehensively. Find client issues earlier. Create more time for L3 to focus on higher-impact work.
The /sparklogs-investigate skill analyzes and reports signals, state, changes and scope. Open-source playbooks and skills can be customized to fit your process and team. Achieve better-informed and more consistent ticket resolution.
Give junior engineers a senior-engineer-like AI companion that follows your process and rigorously analyzes all available signals. Reduce misidentification of issues and head off dead-ends in investigations early.
Drivers, system identity and Windows servicing record every change on every endpoint. Put those changes on one clock with the failure and the cause is usually the last change before it.
Browse feeds and graded conditions on the data-feeds page. The demo shows the same cited report shape your team can run on demand.
Log streams, event channels, curated reasons, graded conditions, system metrics (CPU, RAM, IO), system inventory (OS, software, patching, apps, services, drivers), and more.
Open the coverage wall