Tag: Loki
Reducing MTTR: A Practical Guide to Correlating Incidents with AIOps
Neel Shah | | AI for SRE, AI observability, AI-driven incident correlation, Aiden AI Copilot, Aiden for SRE, AIOps, alert correlation, alert fatigue, alert storms, automated remediation, automated root cause analysis, devops, Distributed Tracing, grafana, incident correlation, incident management, incident response, Jaeger, Loki, mean time to resolution, metrics logs traces, mttr, observability, ObserveNow, on-call automation, pattern-based correlation, Prometheus, root cause analysis, service dependency mapping, SRE automation, telemetry correlation, topology-aware correlationAI-driven incident correlation helps SRE and DevOps teams reduce alert noise, identify root causes faster and improve MTTR by connecting related metrics, logs and traces ...
Grafana Labs Extends Observability Reach Deeper Into AI
Mike Vizard | | AI agents, AI observability, cloud observability, devops, Grafana 13, Grafana Assistant, Grafana Labs, GrafanaCON 2026, kafka, kubernetes, Loki, Model Context Protocol, OpenTelemetry, Telemetry dataGrafana Labs debuts Grafana 13, a specialized AI application observability platform, and an MCP-powered AI agent at GrafanaCON 2026 to streamline telemetry across complex cloud-native environments ...
Grafana Labs Looks to Simplify Observability
Grafana Labs, at its online ObservabilityCON conference today, unveiled a distributed tracing platform dubbed Grafana Tempo that makes it possible to leverage existing object storage platforms and services to analyze traces. At ...
