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Valental

Solutions · AIOps Self-Healing

From alert to mitigation in seconds — with every action in Git

Agents that mitigate known incidents in seconds and hand humans the root cause.

The problem

Where teams get stuck

Alert fatigue, long mean time to recovery and an on-call rotation that is burning out. Most incidents follow patterns your team has seen before, yet each one still waits for a human to wake up, log in and read five dashboards.

Reference architecture

The building blocks

Signals
Alertmanager, Loki rules, Kubernetes events, Cilium Hubble / Tetragon
Event bus
Argo Events or NATS
Context
Service topology, ArgoCD deploy history, Backstage ownership, runbook retrieval
Reasoning
LLM agent on vLLM in your VPC, or AWS Bedrock / Azure OpenAI
Tools
MCP servers with typed schemas and scoped service accounts
Policy
Kyverno / OPA, autonomy level, change windows, blast radius
Execution
Git pull request reconciled by ArgoCD / Flux, or a pre-approved runtime path
Verification
SLO burn-rate checks with automatic revert

How we deliver

A typical engagement

  1. Weeks 1–2

    Assessment and incident review: which incident types are frequent, well understood and safe to automate.

  2. Weeks 3–6

    Instrumentation gaps closed, SLOs defined, read-only agent at L0–L1 in production.

  3. Weeks 7–10

    Tools and policies codified; agent raised to L2 (proposes PRs) for the first incident types.

  4. Ongoing

    Selective L3 for whitelisted actions, monthly governance review of every agent decision.

What changes

Targets we agree up front

These are targets, not past results. We baseline them in the assessment and report against them.
  • Target: MTTR under 10 minutes for known incident types
  • Target: share of incidents mitigated without paging a human
  • Alert noise reduction, measured week over week
  • 100% of agent actions traceable to a commit or audit record

Related services: AI & Agentic Operations · SRE & Cloud Architecture

Find out how close you are to autonomous operations

The AI & Infrastructure Assessment is a fixed-scope, two-week review of your platform, observability, delivery pipeline and AI-readiness. You get a written report, a maturity score from L0 to L4, and a prioritised 90-day roadmap.

  • Kubernetes & security posture
  • Observability & SLO coverage
  • CI/CD & IaC governance
  • Where agents can safely act first
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