Engineering

DevOps & Incident Response Agent

Diagnoses alerts, correlates signals across logs/metrics/traces, runs runbooks, drafts the postmortem.

Features

5

Tech

12

Steps

5

AI Agent

DevOps & Incident Response Agent

Production-readyObservable
OpenAI GPT-5
Anthropic Claude 4.7
Datadog API

Capabilities

What this agent does

Every capability is shipped end-to-end — not a feature flag. You get a working slice on day one and we expand from there.

Feature 01

Multi-signal correlation

Connects log spikes, deploy events, and error traces.

Feature 02

Runbook execution

Runs your documented remediation steps with approval gates.

Feature 03

Page deduplication

Cuts alert storms down to one incident, not 50.

Feature 04

Comms drafting

Status page updates and customer emails ready in seconds.

Feature 05

Auto postmortem

Drafts a blameless RCA from incident timeline + chats.

Stack

12 technologies we use

Production-tested tools chosen for reliability, observability, and developer velocity. Every piece is swappable.

OpenAI GPT-5Anthropic Claude 4.7Datadog APIPagerDuty APISentryGrafanaPrometheusSlack BoltGitHub APIAWS SDKkubectlInngest

System at a glance

How the agent flows

A simplified view of what comes in, what the agent does with it, and what it produces. Each arrow is observable end-to-end.

Inputs

Code changeIssue / alertRepo + logs context

Agent

DevOps & Incident Response Agent

Plan → tool-call → reflect, with approval gates.

Tools the agent calls

OpenAI GPT-5Anthropic Claude 4.7Datadog APIPagerDuty APISentryGrafana+6 more

Outputs

PR commentAuto-fix patchRunbook execution
Every step traced in Langfuse / Braintrust · cost + latency monitored · full replay on failure · human-in-the-loop where it matters

Engagement

How we roll it out

A 5-step process from kickoff to handover. Every step has a deliverable you can sign off on.

  1. 01

    Source wiring

    Connect observability, paging, and chat tools.

  2. 02

    Runbook ingest

    Convert tribal knowledge into structured runbooks.

  3. 03

    Shadow mode

    Agent suggests fixes silently for 2 weeks while learning.

  4. 04

    Tiered actions

    Auto-fix safe issues, propose risky ones for approval.

  5. 05

    Continuous learning

    Every closed incident updates the agent's playbook.

Outcomes

What you can expect

Real numbers we see when DevOps & Incident Response Agent ships on top of an actual workflow. Specifics vary with starting baseline, data quality, and scope — but these are the ranges.

Outcome 01

−35%

PR cycle time

Reviews land in minutes; trivial issues auto-fixed.

Outcome 02

+40%

Bug catch rate

Pre-merge, vs the previous review process alone.

Outcome 03

−50%

MTTR

Mean time to resolve incidents after agent investigates first.

Sample use cases

What this looks like in practice

Three concrete scenarios where teams deploy DevOps & Incident Response Agent today. Your engagement starts with one of these (or your own variant) and expands from there.

01

Always-on senior reviewer

Every PR gets an inline review for bugs, security, breaking changes — junior engineers ship safer code, seniors spend review time on architecture.

02

First-responder on every page

When PagerDuty fires, the agent correlates logs + metrics + recent deploys, drafts the incident summary, runs read-only diagnostics, posts to Slack.

03

Migration at scale

Framework or major-version upgrade across hundreds of files — agent applies AST codemods, fixes the edge cases LLM-style, opens reviewable PRs per module.

Typical engagement

From kickoff to live in 4-8 weeks

Most DevOps & Incident Response Agent engagements follow this shape. We give you a firm quote after a 30-minute scoping call, and the price is fixed up-front so you can budget.

2-3 weeks

Pilot

  • Discovery + playbook write-up
  • Tool design + guardrails
  • Eval suite + sandbox deploy
Core

2-4 weeks

Production

  • Hardened deploy on your stack
  • Observability dashboard + alerts
  • Two-week supervised mode

Ongoing

Handover & support

  • Runbook + team training
  • Monthly tuning + eval review
  • Pause or expand any time

Indicative range

$3,000 — $8,000

Full project, scoped + fixed up-front. Includes pilot, production, and 30 days of post-launch support.

Or hire us by the week

from $1,000/wk

Embedded retainer — best for evolving scopes.

Ready to ship DevOps & Incident Response Agent?

Tell us about your data, your tools, and what success looks like. We come back within one business day with a clear plan, price, and timeline.

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Ready to ship the software your business actually runs on?

Tell us what you're building. We respond within one business day with a clear plan, price, and timeline.

16 industry CRMs shipped96+ clients · 14 countriesRemote-first · Global delivery