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Wild Moose
✓ verifiedPaid
AI incident-response agent that auto-investigates outages using company-specific debugging knowledge.
1.1K saves
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StackGen
✓ verifiedPaid
Agentic AI platform ('Aiden') that automates incident response, infrastructure-as-code and observability tasks with policy-based governance.
13K visits/mo
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Brainboard
✓ verifiedFreemium
AI-driven platform to visually design multi-cloud infrastructure and auto-generate Terraform code with built-in CI/CD.
17K visits/mo
Pricing
No public pricing
No public pricing
Free: $0 (unlimited architectures and code generation)
Pro: $99/user/mo (Git, CI/CD, RBAC, remote backend)
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
- ✦Visual multi-cloud architecture designer
- ✦Instant Terraform/OpenTofu code generation
- ✦Drift detection and remediation
- ✦Embedded visual CI/CD engine
- ✦GitOps workflow and RBAC
- ✦AI infrastructure generation from prompts
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
- →Designing and deploying cloud infrastructure visually
- →Migrating to Infrastructure as Code
- →Standardizing Terraform modules and naming
- →Detecting drift between design and live cloud
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