We're excited to introduce Azimutt Inspector, a new approach to PostgreSQL reliability that combines deterministic rules, production-tested heuristics, and AI to help you prevent incidents before they impact your users.

Why We Built Azimutt Inspector

Database incidents are costly. A slow query can cascade into application timeouts, angry customers, and 3 a.m. wake-up calls. Yet most monitoring tools only alert you after problems occur. We built Azimutt Inspector to change that paradigm.

What Makes Inspector Different

1. Proactive, Not Reactive

Instead of waiting for problems to happen, Inspector continuously analyzes your PostgreSQL instances to identify risks:

  • Query Performance: Detect queries that are starting to slow down before they become problematic
  • Index Health: Find missing indexes, duplicates, and unused indexes consuming resources
  • Configuration Issues: Spot misconfigurations in autovacuum, connection pooling, and more
  • Security Gaps: Identify overly permissive roles, missing SSL configurations, and other vulnerabilities

2. On-Premise and Privacy-First

Your data never leaves your infrastructure. Inspector runs entirely within your VPC or on-premise environment:

# Deploy with Docker Compose
version: '3.8'
services:
  inspector:
    image: azimutt/inspector:latest
    environment:
      - DATABASE_URL=postgresql://user:pass@localhost/db
    ports:
      - "3000:3000"

3. Noise-Free Alerts

We know alert fatigue is real. Inspector uses intelligent deduplication and severity scoring to ensure you only get notified about issues that matter:

  • Alerts are grouped by root cause
  • Severity is calculated based on actual impact
  • Historical context prevents duplicate notifications

Key Features

Deep PostgreSQL Analysis

Inspector goes beyond surface-level metrics:

  • Correlates catalog data with pg_stat_* views
  • Tracks query plan changes over time
  • Identifies anti-patterns automatically
  • Suggests concrete optimizations

Safe, Actionable Suggestions

Every suggestion includes:

  1. The specific problem identified
  2. Why it matters for your workload
  3. Exact SQL to fix it
  4. Rollback instructions if needed

Integrated Workflows

Connect Inspector to your existing stack:

  • Monitoring: Export metrics to Prometheus/Grafana
  • Alerting: Send alerts to Slack, PagerDuty, or email
  • Ticketing: Auto-create issues in Jira or GitHub

Getting Started

You can try Inspector locally in just 2 minutes:

# Clone the repository
git clone https://github.com/azimuttapp/inspector.git

# Configure your database
cp inspector.conf.example inspector.conf
# Edit inspector.conf with your PostgreSQL connection

# Start Inspector
docker-compose up

Visit http://localhost:3000 to see your dashboard.

What's Next

We're actively developing Inspector with feedback from early users. Coming soon:

  • Support for MySQL and SQL Server
  • Custom rule authoring
  • Team collaboration features
  • Advanced anomaly detection

Try It Today

Ready to prevent your next database incident? Get started with our quickstart guide or request a demo to see Inspector in action with your team.

Azimutt Inspector is built by the team behind Azimutt, the visual database exploration tool trusted by thousands of developers worldwide.