CloudThinker + Backlog
CloudThinker doesn't replace Backlog — it integrates with it. Everything Backlog does — projects, issues, and team collaboration — 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 Backlog and the rest of your stack — unifying your cloud providers, code repositories, and incident tools into a single AI-driven operations platform. They see. CloudThinker acts.
Platform Architecture
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.
Operating Model Comparison
Partial = limited or requires additional configuration/tooling. CloudThinker integrates natively with Backlog — both work together, not in competition.
The autonomous AI layer your incident response stack is missing
Backlog is great at projects, issues, and team collaboration — and it should keep doing exactly that. CloudThinker connects to Backlog and takes the next step: the Incident Response Agent consumes its data, 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.
CloudThinker doesn't just read Backlog — 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.
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.
CloudThinker connects to Backlog in minutes. Keep your incident stack exactly as-is — and add an AI layer that acts on it automatically.