Splunk pushes observability AI
Splunk is promoting a Unified Observability event series that includes an AI Assistant for automated root-cause analysis — a direct play for faster incident triage. — the Observability Cloud also added Database Monitoring focused on slow-query visibility and app/infra correlation for real‑time troubleshooting. (x.com) (x.com) (x.com)
Splunk scheduled a “Unified Observability” March event series that includes virtual workshops on March 12 and a webinar on March 17 as part of a multi-session push to showcase the new unified workflow. (splunk.com) A separate three‑part “AI & Observability: An Expert Led Series” lists a strategic overview, a technical deep dive, and interactive support sessions aimed at monitoring AI application stacks and agentic observability. (discover.splunk.com) The in‑product AI Assistant surfaces answers in a chat interface and can generate SignalFlow code to build custom charts and detectors from observability data. (splunk.com) Splunk’s AI troubleshooting agent is designed to auto‑activate during incident evaluation, correlate metrics, traces, events and logs across APM and Infrastructure Monitoring, and present multiple hypotheses with step‑by‑step guidance. (splunk.com) Database Monitoring in Observability Cloud was introduced as an OpenTelemetry‑based capability that captures and normalizes SQL/NoSQL queries (dynamic elements replaced with placeholders), reporting P90 latency, total response time and requests per second for slow‑query analysis. (help.splunk.com) The Database Monitoring docs show a single‑pane overview of top instances by total duration and link query analytics directly to Infrastructure Monitoring and APM traces so teams can correlate resource contention or specific queries to service impact. (help.splunk.com)
