RCA doesn’t fail because SREs are slow.
It fails because 𝒄𝒐𝒏𝒕𝒆𝒙𝒕 𝒊𝒔 𝒔𝒄𝒂𝒕𝒕𝒆𝒓𝒆𝒅.
→ 𝗠𝗲𝘁𝗿𝗶𝗰 spike is in @datadoghq , @newrelic or @Dynatrace
→ 𝗟𝗼𝗴𝘀 are in @splunk , @elastic, Loki, or @Coralogix .
→ 𝗖𝗼𝗱𝗲 & 𝗗𝗲𝗽𝗹𝗼𝘆 is in @github .
→ 𝗖𝗼𝗻𝗳𝗶𝗴 change is in @ServiceNow
→ 𝗜𝗻𝗳𝗿𝗮 𝗱𝗿𝗶𝗳𝘁 is in Terraform or Kubernetes.
→ 𝗧𝗼𝗽𝗼𝗹𝗼𝗴𝘆 is in CMDB.
→ The real “why” is buried in @SlackHQ , Confluence, JIRA tickets, Runbooks, and someone’s head.
The next AI SRE platform will not be another dashboard.
It will be a context graph for reliability.
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Introducing 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗮𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗚𝗿𝗮𝗽𝗵 (UCG) inside 𝗛𝗲𝗮𝗹𝗥 (AI SRE) by @autonomops
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A living graph of:
→ Metrics, logs, traces, alerts, incidents
→ Code changes, PRs, commits, deployments, feature flags
→ Infra changes, CMDB, Topology, dependencies, drift
→ Runbooks, postmortems, past fixes
→ decision traces from every investigation
𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁?
Agentic investigations that feel like pairing with your best SRE.
The future is context-aware, graph-guided, agentic RCA.
Faster.
Focused.
Explainable.
Built on the operational knowledge your systems already generate every day.
#AI #SRE #DevOps #AIOps #Observability #RCA #ContextGraph #Prometheus #Grafana
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