CloudThinker + New Relic
CloudThinker doesn't replace New Relic — it integrates with it. Your New Relic APM data, error traces, and alerts become the inputs that CloudThinker's autonomous AI agents act on: correlating signals, forming hypotheses, executing remediation, and continuously improving your system's health.
Together, New Relic and CloudThinker give you complete visibility plus autonomous action — the full loop from “something is wrong” to “it's already been fixed.”
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.
Capability Comparison
Partial = limited or requires additional configuration. CloudThinker integrates natively with New Relic — both platforms work together.
Close the loop from visibility to resolution
New Relic gives you exceptional visibility into application performance, error rates, and infrastructure health. CloudThinker connects to those signals and acts on them — the Incident Response Agent investigates anomalies, correlates root cause across your full stack, and executes remediation runbooks automatically, without waiting for an engineer to triage the dashboard.
While New Relic catches issues in production, CloudThinker catches them before they ship. The AI Code Review Agent integrates with GitHub and GitLab to automatically review every pull request — detecting the security vulnerabilities, performance bottlenecks, and logic errors that become the production incidents you're tracking in New Relic today.
CloudThinker's Memory Architecture learns from every incident your team resolves. Root causes, runbook outcomes, and remediation patterns are stored and indexed so that future incidents are resolved faster — and recurring issues are surfaced for permanent engineering fixes, not just repeated patches. See the full platform capabilities.
CloudThinker connects to New Relic in minutes. Keep your APM and observability stack exactly as-is — and add an AI layer that acts on your data automatically.