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HookWatch logo
HookWatch
✓ verifiedFreemium

Webhook debugging tool that captures every delivery, shows why it failed and lets you replay the exact payload after a fix.

Releem logo
Releem
✓ verifiedFree trial

Continuously analyzes MySQL, MariaDB, and PostgreSQL workloads to recommend and safely apply configuration and query fixes.

22K visits/mo5.1K saves
Middleware logo
Middleware
✓ verifiedFreemium

Full-stack observability platform with an AI SRE agent that detects, debugs, and auto-fixes issues across infra, apps, and users.

47K visits/mo713 saves
Pricing
Free: $0 (beta; capture, replay and alerts)
Pro: $29/mo (higher limits, longer retention, more members)
Team: $99/mo (advanced retention, audit exports, workspace controls)
Starter: $39/month billed annually (1 database server, or $49/month on-demand)
Scale: $123/month billed annually (up to 5 database servers, or $199/month on-demand)
Hosting: $99/month (up to 9 database servers)

Free trial available

No public pricing

Core features
  • Capture every webhook delivery with status and attempts
  • Inspect request, response and headers
  • Replay and retry exact payloads
  • Failure categorization by reason
  • Group repeated failures into incidents
  • Slack and webhook alerts
  • Workload-based configuration tuning
  • SQL query analytics and optimization suggestions
  • Schema optimization (duplicate/unused index detection)
  • 24/7 automated health and security monitoring
  • One-command agent installation
  • Human approval required before applying changes
  • Infrastructure and application performance monitoring
  • Log monitoring with AI insights
  • Real user monitoring
  • OpsAI SRE agent for detection and auto-fix
  • Synthetic and browser testing
  • LLM observability
Use cases
  • Debugging failed Stripe, GitHub or Shopify webhooks
  • Recovering dropped events
  • Monitoring webhook reliability
  • Alerting on failures before users notice
  • Database teams reducing manual tuning workload
  • Hosting providers optimizing customer databases at scale
  • Engineering teams without a dedicated DBA fixing performance issues
  • AWS RDS users tuning managed database instances
  • Monitor full-stack app and infra health
  • Debug incidents faster with AI
  • Correlate frontend and backend issues
  • Observe Kubernetes and cloud environments
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