Alert fatigue
Firing rules tell you something broke. They rarely tell you why, or what changed beforehand.
AWS
Grafana · Prometheus · Loki
Private LLM
ANZ
AI that helps SRE teams — without sending your telemetry to the public cloud
AI4SRE is a proven observability + AI pattern: metrics, logs, and alerts stay in your AWS account, while operators get grounded summaries, investigation assistance, and configuration change history in plain language.
The gap we close
Most enterprises already run Prometheus and Grafana. The hard part is turning alerts, metrics, logs, and config drift into actionable understanding — fast, and without leaking incident context to external AI APIs.
Investigation tax
On-call engineers still manually correlate Alertmanager, PromQL, LogQL, and change records.
Governance
Public LLM APIs are a poor fit when logs and metrics contain host, user, and application detail.
What you get
A working reference implementation — not slides. Deployed with Terraform and Ansible, running Ollama on your infrastructure, with Streamlit doors for different operator workflows.
AI Ops
Grafana alerts → structured AI recommendations, stored for review.
Investigate
One-click evidence: alerts, Prometheus ranges, Loki logs — then grounded chat.
History
Linux config snapshots, diffs, and natural-language queries over change history.
Assistant
General technical assistant with optional live metrics when you need them.
Why teams choose private AI on AWS
- Telemetry and inference remain inside your VPC boundary
- You control retention, access, model choice, and prompt logic
- Predictable cost profile vs per-token external APIs at scale
- Integrates with existing Grafana alerting and dashboards
- Clear path from POC → hardened production patterns
Ready for a technical walkthrough?
We work across ANZ and can support remote engagements elsewhere. Implementation runs in your AWS account — we bring the pattern, you keep the data.
Contact sales@ai4SRE.com