// service
Agentic CloudOps & AIOps — Signal to Action
Your telemetry stops being a wall of alerts and starts closing loops — events correlated, remediated under guardrails, and verified resolved.
shape
6–10 weeks
Kubernetes/CNCF ecosystem · Grafana/OpenTelemetry ecosystem · Red Hat (Ansible · RHEL) · Cisco/Nokia where fabric meets platform
outcome
Platform and SRE teams drown in dashboards while remediation stays manual. This service turns the observability estate you already run into event-driven operations: alerts are deduplicated and correlated, agents diagnose with the telemetry at hand, remediation runs behind guarded control planes with human approval gates, and resolution is verified before anyone closes the ticket. Covers Kubernetes-first platforms and bare-metal hypervisor estates, with GitOps disaster recovery so the platform itself is recoverable, not just monitored.
what you get
- AIOps readiness assessment of the existing monitoring and telemetry estate
- Event-driven automation pipeline — alert → agent diagnosis → guarded remediation → verified resolution
- Kubernetes observability baseline (metrics, logs, traces: Prometheus, Loki, Tempo, Grafana)
- Runbook automation and on-call augmentation (dedup, correlation, suggested actions with approval gates)
- GitOps disaster-recovery playbooks: platform services restorable from source, rehearsed
evidence — public, checkable
- agent-observability-stack — the telemetry backbone (LiteLLM + OTel → Prometheus, Loki, Tempo, Grafana, Phoenix; budget alerts; video walkthrough public)
- agentic-ops-bench — AIOps/ops-task benchmark: which model, which harness, on your tasks
- kind-cilium-hubble-cluster — observable Kubernetes bootstrapped from scratch (Cilium + Hubble)
- agentic-netops — Kubernetes Go operators and reconciliation discipline, ported from fabric to platform
- Guarded, agent-operated control planes over bare-metal hypervisor fleets with GitOps DR (anonymized capability category)
- Multi-agent fleet orchestration at scale (anonymized capability category)
agent-observability-stack on GitHub agentic-ops-bench on GitHub
The method is the same loop that runs the fabric, applied to operations: ingest → correlate → diagnose → act under guardrails → verify resolved. Autonomy is progressive — suggested actions first, approval-gated remediation second, auto-remediation only for the classes of event your team has already proven safe — and every closed loop carries its evidence: what fired, what the agent found, what changed, and the post-action telemetry that proves it worked.
The cost angle is built in, not bolted on: the same telemetry that drives remediation prices it (tokens, GPU-minutes, human minutes saved), so AIOps shows up as a managed number in the same dashboards.
pairs with
Agent-Fleet Platform — Memory, Routing, Observability
A governed multi-agent platform with shared memory, model routing, and full token/cost/trace telemetry — so fleets are operable, not just demoed.
Agentic Network Operations — Intent-to-Fabric
Plain-language network intent becomes verified, on-device configuration changes with a closed telemetry loop — and zero unverified success reports.
Sovereign Inference & GPU Economics
Production-grade LLM serving on your own NVIDIA GPUs, with a dated, benchmarked answer to "local or frontier?" per workload.