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The Modern Stack is Polyglot. Why are our tools still siloed?

•2 min read•By Giovanni Martinez
database-engineeringpostgresqlmongodbsredevopsarchitecture

The Reality

If you're managing infrastructure today, you aren't just running PostgreSQL. You're running PostgreSQL for relational data, MongoDB for documents, maybe Redis for caching, and other modules/business units that use MySQL or SQL Server instances.

The Problem

When production breaks at 2 AM, we're forced to context-switch between 4-5 different tools.

  • pg_stat_statements for Postgres
  • db.currentOp() or Atlas for Mongo
  • Datadog for metrics
  • CloudWatch/grep for logs

We spend 90% of our time correlating data across these silos and only 10% actually fixing the root cause.

The Solution

I built iqtoolkit to be the unified intelligence layer we've been missing. It’s an open-source, self-hosted platform designed to standardize database troubleshooting across engines.

🛠 Technical Architecture

1. Multi-Database Analyzer (Modular Design)

Instead of separate tools, iqtoolkit uses a modular architecture to analyze different engines under one roof:

  • PostgreSQL Module: Deep analysis of EXPLAIN (ANALYZE, BUFFERS), index usage stats, and anti-pattern detection (e.g., implicit casting preventing index usage).
  • MongoDB Module: Aggregation pipeline optimization, document structure analysis, and sharding key recommendations.
  • Future (Q2 2026): MySQL & SQL Server modules.

2. Privacy-First AI Layer (IqAI)

We know you can't paste production query plans into ChatGPT.

  • Default: Runs 100% local using Ollama (Llama 3, Mistral, etc.). Your schema and queries never leave your VPC.
  • Optional: Configurable OpenAI integration for teams who prefer cloud LLMs.
  • Capability: It doesn't just "chat." It parses execution plans, identifies bottlenecks (like sequential scans on high-cardinality tables), and generates specific DDL fixes.

3. Deployment & Compliance

  • Container-Native: Ships as Docker containers and Helm charts.
  • Self-Hosted: Deploy on your own Kubernetes cluster or bare metal.
  • Compliance Ready: Designed for HIPAA/SOC 2 environments where data sovereignty is non-negotiable.

📅 Roadmap

  • v0.2.2 (Now): Stable release with PostgreSQL & MongoDB slow query analysis, configurable Ollama/OpenAI, and Markdown/JSON/HTML reports.
  • v0.2.3 (Q1 2026): PostgreSQL EXPLAIN analyzer (RFC-002), anti-pattern detection, index suggestions, and MongoDB enhancements.
  • v0.3.0 (Q2 2026): Service-ize Analyzer + stand up IQAI service, Hub gateway orchestration, Helm charts & CI/CD.

If you are an architect or DBA tired of tool sprawl, I want to hear from you. What’s the one feature you wish your current monitoring stack had?

Check out the project on GitHub