CloudThinker + Firefly

Firefly sees the drift. CloudThinker acts on it.

CloudThinker doesn't replace Firefly — it integrates with it. Everything Firefly produces by discovering cloud assets and codifying them into IaC while catching drift becomes the input CloudThinker's autonomous AI agents act on: investigating root cause, executing approval-gated remediation runbooks, and resolving issues without pulling your team into another context switch.

Think of CloudThinker as the autonomous action layer on top of your existing infrastructure-as-code stack — unifying Firefly, your cloud providers, your code repositories, and your incident tools into a single AI-driven operations platform. They see. CloudThinker acts.

Platform Architecture

CloudThinker doesn't replace your stack. It orchestrates it.

Your existing tools — Datadog, PagerDuty, New Relic, and the rest — remain exactly as they are. CloudThinker connects to all of them, unifies their signals, and adds the autonomous AI action layer that turns insights into resolution.

Datadog
Observability & Alerts
PagerDuty
On-Call & Incident Routing
New Relic
APM & Full-Stack Monitoring
AWS / Azure / GCP
Cloud Infrastructure
GitHub / GitLab
Code & CI/CD
Slack / Jira
Collaboration & Ticketing
connects & unifies signals
CloudThinker
Autonomous AI Agentic Platform
Code ReviewIncident ResponseFinOpsSecurityHelpDeskSlackOps
autonomous action with graduated control
Incidents resolved
automatically
Code reviewed
before merge
Costs optimized
continuously

Operating Model Comparison

See where visibility ends and safe action begins

Capability
CloudThinker
Firefly
Infrastructure provisioning & state management
Partial
Drift detection
Policy-as-code / guardrails
Autonomous remediation & drift correction
Approval-gated automation runbooks
Cross-stack incident investigation & RCA
Agentic code review of PRs & plans
Partial
Cloud cost optimization (FinOps)
Natural language infrastructure operations
Graduated autonomy controls

Partial = limited or requires additional configuration/tooling. CloudThinker integrates natively with Firefly — both platforms work together, not in competition.

Why Teams Add an AgenticOps Layer

The autonomous AI layer your infrastructure-as-code stack is missing

Infrastructure Automation That Takes Action

Firefly is excellent at discovering cloud assets and codifying them into IaC while catching drift — and it should keep doing exactly that. CloudThinker connects to Firefly and takes the next step: the Incident Response Agent consumes its findings, correlates signals across your full stack, investigates root cause, and executes approval-gated remediation runbooks — often resolving the issue before your on-call engineer opens Slack.

Unified Across Your Entire Stack

CloudThinker doesn't just read Firefly — it also connects to your GitHub PRs via AI Code Review, your Kubernetes clusters, AWS/GCP/Azure accounts, Jira tickets, Slack channels, and PagerDuty on-call schedules. The result is a single AI-driven operations layer that sees and acts across every part of your infrastructure — not one slice of it.

More Autonomous, At Your Pace

CloudThinker's Graduated Autonomy model lets you start with AI-drafted recommendations and gradually increase to fully autonomous remediation on a per-environment, per-skill basis. Every action is audited with full rationale — so you can safely lean on AI for more operational toil while your engineers focus on building.

Already using Firefly? Add autonomous AI.

CloudThinker connects to Firefly in minutes. Keep your infrastructure stack exactly as-is — and add an AI layer that acts on it automatically.

All comparisons