Available since May 2026 — read the launch announcement for the rename context, the Pulse pillar, Incident Memory v1, auto-RCA, and the hardened 15+-platform webhook suite.
The Full Response Loop
No stage requires manual handoff. Each layer feeds the next automatically.Pulse — Signal Intelligence
Your infrastructure generates thousands of events per day. Most of them are noise — duplicate alerts, AWS-internal bookkeeping, rate-limited bursts, flapping resources. Pulse handles all of that before anything reaches your team.10+ Sources, One Feed
AWS (CloudTrail, GuardDuty, Cost Anomaly, Health, Config, Access Analyzer), Slack, Teams, Datadog, Grafana, New Relic, PagerDuty — all unified.
98% Noise Reduction
Seven suppression layers run automatically: deduplication, rate limiting, flapping detection, cascade silencing, noise signatures, and more.
Auto-Correlation
Related signals are grouped into clusters. Nine EC2 alerts about the same node pool become one item, not nine.
AI Classification
Every signal is assigned a category, canonical severity, and actionability score. No manual triage.
How Pulse works →
Pipeline walkthrough, cluster management, noise suppression, and analytics
Incident — Investigation to Resolution
An Incident is created the moment a cluster escalates. An AI agent begins investigating immediately — forming hypotheses, gathering evidence, correlating metrics and logs across your connected infrastructure. By the time an on-call engineer opens their laptop, the investigation is already underway.Hypothesis-Driven RCA
The AI forms explicit theories and tests each one systematically. The result is a structured report: most likely root cause, evidence chain, ruled-out hypotheses, and remediation steps.
Transparent Reasoning
Every step is visible — which hypothesis was confirmed, which was ruled out, and why. No black box.
Automated Remediation
When the root cause is identified, CloudThinker searches your runbook library and can execute matching procedures — with your approval gates in place.
Memory
Every resolved incident makes the next one faster. The AI captures which techniques worked, which queries were useful, and which runbook steps resolved the issue.
How Incident works →
AI investigation, root cause analysis, runbooks, and incident memory
Getting Started
Connect Signal Sources
Connect AWS, Slack, Teams, and webhook sources to start feeding Pulse
Set Up Webhook Integrations
Connect PagerDuty, Datadog, Prometheus, CloudWatch, and 10+ monitoring platforms
Add Runbooks
Connect your operational runbooks so AI agents can execute remediation steps
Explore Pulse Analytics
Measure noise reduction, cluster MTTR, and signal conversion rates