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Wild Moose logo
Wild Moose
✓ verifiedPaid

AI incident-response agent that auto-investigates outages using company-specific debugging knowledge.

1.1K saves
StackGen logo
StackGen
✓ verifiedPaid

Agentic AI platform ('Aiden') that automates incident response, infrastructure-as-code and observability tasks with policy-based governance.

13K visits/mo
CloudKeeper Tuner logo
CloudKeeper Tuner
✓ verifiedPaid

Automated AWS usage optimization platform giving engineers 150+ recommendations across 50+ services, averaging ~10% savings.

43K visits/mo
Pricing

No public pricing

No public pricing

CloudKeeper Tuner: 2% of monthly AWS bill (1% for CloudKeeper AZ/EDP+ customers)

Free trial available

Core features
  • Automatic log, metric, and trace correlation during incidents
  • Evidence-backed root cause summaries
  • Company-specific debugging agents that learn tribal knowledge
  • Read-only integrations across observability tooling
  • Continuous improvement from incident feedback loops
  • Sub-minute alert enrichment
  • Automated service discovery and dependency topology mapping
  • SLO-based alert triage and prioritization
  • AI-driven root cause analysis with pre-built workflows
  • Human-approved remediation with full audit trails
  • Works alongside existing tools like Datadog, Grafana, New Relic
  • Governance and policy enforcement layer for agent actions
  • 150+ recommendations across 50+ AWS services
  • Zombie and unused resource cleanup
  • Over-provisioned rightsizing
  • Idle-resource scheduler
  • SpotBot for ECS Fargate spot/on-demand switching
  • AWS console extension with Slack/Teams alerts
Use cases
  • Reducing mean-time-to-resolution for production outages
  • Standardizing incident investigation across an engineering team
  • Giving on-call engineers instant context on unfamiliar systems
  • SRE teams reducing mean-time-to-resolution during incidents
  • Platform engineers wanting policy-governed AI infrastructure management
  • Enterprises needing SOC 2 / PCI / HIPAA-compliant AI operations
  • Cutting AWS spend automatically
  • Rightsizing over-provisioned resources
  • Scheduling idle resources off-hours
  • Giving DevOps in-console cost recommendations
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