AI-powered automation platform

AI Platform
INDUSTRYInformation Technology
LOCATIONUSA
PLATFORMCloud SaaS
COOPERATION2+ years

About the project

We partnered with an innovative SRE automation startup to build an AI-powered platform that transforms how engineering teams respond to production incidents. The vision: eliminate repetitive toil, capture institutional knowledge, and give teams superpowers to keep complex systems running smoothly.

Challenge

Modern infrastructure is chaos: thousands of microservices, multi-cloud deployments, intricate dependencies. When something breaks at 3 AM, on-call engineers face:

  • Alert overload — Hundreds of notifications from dozens of tools
  • Investigation fatigue — Hours spent on manual root cause analysis
  • Knowledge silos — Critical expertise trapped in individual heads
  • Repetitive toil — Same problems, same fixes, zero automation
AI Platform

Solution

We built an intelligent operations platform that learns from every incident and makes the entire team smarter:

  • Smart alert correlation — AI groups related alerts, reducing noise by 70%
  • Suggested runbooks — Instant recommendations based on similar past incidents
  • One-click automation — Execute remediation with human-in-the-loop approval
  • Living knowledge graph — Services, incidents, and expertise all connected
  • 50+ integrations — Works with your existing observability stack
AI Platform

Features

1. Noise killer

Our AI correlates alerts across your entire stack, turning hundreds of notifications into a single actionable incident. Engineers focus on problems, not symptoms.

2. Runbook automation

Capture your best engineers' knowledge in executable runbooks. When incidents occur, the platform suggests and runs the right playbooks automatically.

3. Institutional memory

Build a knowledge graph that connects services, incidents, solutions, and team expertise. New engineers get up to speed faster. Tribal knowledge becomes team knowledge.

4. Toil metrics dashboard

Measure what matters: track repetitive work, identify automation opportunities, and prove the ROI of your reliability investments.

Technologies

GolangGolang
pythonPython
ReactReact
awsAWS
KubernetesKubernetes
TerraformTerraform
Cloud FormationCloud Formation
jenkinsJenkins
Circle CICircle CI
prometheusPrometheus
nodeNODE.JS
JupyterJupyter

Business value

Our collaboration delivered measurable improvements to engineering operations:

  • 70% less noise — Engineers see signals, not spam
  • 50% faster MTTR — Issues resolved in half the time
  • Toil eliminated — Automation handles the repetitive stuff
  • Knowledge preserved — No more single points of failure
  • Happier on-call — Better experience, less burnout
  • Consistent response — Every incident handled the right way

The result: Engineering teams spend less time firefighting and more time building. Reliability becomes a competitive advantage, not a constant struggle.

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