PostgreSQL AI Load Balancer

AI Load Balancing

Machine learning algorithms analyze query patterns and server health for optimal routing.

REST API Management

17 HTTP/JSON endpoints for cluster orchestration, health checks, and automation.

Connection Pooling

Session, transaction, and statement pooling with configurable health checks.

MQTT Event Streaming

Push real-time status, failover, and metric events to observability pipelines.

Getting Started

Installation, quick start, and baseline configuration for pgBalancer.

• Installation Guide

  Build and install pgBalancer on popular platforms.

• Quick Start

  Launch with sample pools and verify routing in minutes.

• Configuration

  Tune core parameters, authentication, and pool definitions.

Core Features

Load balancing, pooling, and high availability capabilities.

• AI Load Balancing

  Explore machine learning routing strategies and tuning knobs.

• Connection Pooling

  Session lifecycle management, health checks, and scaling tips.

• High Availability

  Failover policies, watchdog integration, and redundancy patterns.

Management & Monitoring

Operational tooling, APIs, and observability integrations.

• REST API

  Automate operations with structured API calls and examples.

• CLI Management (bctl)

  Complete command-line reference for day-two operations.

• Metrics & Monitoring

  Expose metrics, dashboards, and alert strategies.

Advanced Topics

Architecture fundamentals, troubleshooting, and internals.

• Architecture & Internals

  Worker lifecycle, routing pipeline, and AI model updates.

• Monitoring Integration

  Integrate with Prometheus, Grafana, and external APM tools.