@PinakiLaskar That’s how companies who want monopoly, are pushing the world towards one single predictable way. But nature doesn’t work like that and intelligence will also be needed to be distributed not centralized
This is amazing. Do this:
1. Set model to Opus 4.8
2. Reasoning effort to /ultracode
Enables Claude Code's new Dynamic Workflows.
Claude will autonomously detect complex tasks, write an orchestration script, and spawn an agent swarm.
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.
┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈
Introducing 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗮𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗚𝗿𝗮𝗽𝗵 (UCG) inside 𝗛𝗲𝗮𝗹𝗥 (AI SRE) by @autonomops
┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈
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
There is nothing more powerful than well-informed optimism. It has to be well-informed though. The "everything will be fine" type of optimism may also be somewhat useful, but it's not as useful as the "Hmm, what if we tried x?" kind.