AI Implementation

Stop Fighting Fires. Start Predicting Them

AI Engineer
5 min read

Introducing AI-Powered Predictive Intelligence for PostgreSQL from Burnside Project

Featured image for blog post: Stop Fighting Fires. Start Predicting Them - Introducing AI-Powered Predictive Intelligence for PostgreSQL from Burnside Project...

"AI-powered observability" sounds like marketing until you experience it on your own database. So here we are —

Traditional database monitoring tools are fundamentally backward-looking. They tell you what’s happening right now or what happened in the past. They’re excellent at generating alerts—but by the time you get an alert, the damage is already done.

The real costs of reactive monitoring go beyond downtime:

Engineer burnout from constant on-call firefighting

Lost revenue during performance degradation

Eroded customer trust from reliability issues

Wasted capacity from over-provisioning “just in case”

From Signals to Prediction

Burnside Project transforms how you think about database health. Instead of reacting to problems, you anticipate them. Instead of drowning in metrics, you get clear, actionable intelligence.

Our AI-powered platform continuously analyzes over 3,300 metrics from your PostgreSQL clusters, identifies patterns that precede problems, and provides 24-hour forecasts with specific recommendations—before issues impact your users.

“Prediction beats reaction. Every time.”

What Makes pg-collector Different ?

24-Hour Predictive Forecasts with light weight single binary.

Provides you with prescription based on alert.

Our ML pipeline doesn’t just analyze current state—it predicts future state. Know when your connection pool will approach capacity, when vacuum operations will become critical, or when replication lag might spike. Confidence levels tell you exactly how reliable each prediction is based on your collected data history.

Anomaly Detection That Actually Works

Forget static thresholds that cry wolf. Our system learns your database’s normal patterns and surfaces anomalies using statistical analysis. When disk pressure spikes 46 standard deviations above normal, you’ll know instantly—with context about when it started and how severe it is.

Prescriptive Actions, Not Just Alerts

Every issue comes with a prescription: specific SQL commands to run, parameters to tune, or configurations to adjust. No more Googling solutions at 2 AM. Each recommendation includes expected impact and verification steps so you can confirm the fix worked.

Comprehensive Health at a Glance

Eight metric categories—from cache efficiency to replication lag—organized into clear health indicators. Visual progress bars show you instantly whether your cache hit ratio, commit rate, lock contention, and XID age are within healthy ranges. One dashboard, complete visibility.

How It Works

Getting started takes minutes, not months:

Deploy our lightweight collector agent alongside your PostgreSQL instances. No code changes required.

The platform starts learning immediately, collecting metrics every 60 seconds and building prediction confidence over time.

Within days, you’ll have actionable health reports with predictions and recommendations.

After 7 days, prediction confidence reaches 90%+ as the system learns your database’s unique patterns.

Real Scenarios, Real Value

Catch XID Wraparound Before It’s an Emergency: Transaction ID exhaustion can force an emergency database shutdown. Our platform monitors XID age as a percentage of the wraparound limit, alerting you when aggressive vacuum is needed—long before you hit critical levels.

Optimize Before Users Complain: When query times spike 28σ above normal, you’ll know immediately—along with the exact queries to review using pg_stat_statements. Optimize proactively, not reactively.

Plan Capacity with Confidence: See your connection pool utilization trending toward limits. Understand whether you need to increase max_connections, implement connection pooling, or optimize application connection handling—before your app starts failing.

Coming Soon: Cloud-Managed Support

We’re expanding beyond self-hosted PostgreSQL. AWS Aurora PostgreSQL and GCP Cloud SQL support are in development, bringing the same predictive intelligence to your cloud-managed databases. Join our waitlist to be notified when these integrations launch.

Ready to Stop Firefighting?

Your databases generate thousands of signals every minute. The question is: are you listening? With Burnside Project, you don’t just monitor—you predict, prevent, and optimize.

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Start your free trial today and see what predictive database intelligence can do for your team.

Start Free Local Trial with local LLM Chat →

If you’re running PostgreSQL and want AI-powered diagnostics that think like a senior DBA, join the Beta

From Signals to Prediction

Burnside Project

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Written by AI Engineer

Senior engineer with expertise in ai implementation. Passionate about building scalable systems and sharing knowledge with the engineering community.

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