Silvano Coriani

Taming Unpredictable PostgreSQL Workloads with Azure HorizonDB

local CEST (Livestream 2)

Running PostgreSQL today often means choosing between overspending on idle capacity or risking performance dips when traffic suddenly spikes. Teams face unpredictable workloads—burst‑heavy APIs, event‑driven pipelines, seasonal peaks, analytics surges, and multi‑tenant SaaS patterns that don’t respect fixed sizing. Traditional provisioning forces a compromise: pay for headroom you rarely use, or manually resize under pressure when demand changes.

This session looks at a more adaptive PostgreSQL consumption approach where compute aligns with workload intensity instead of static guesses. Sudden surges sustain performance without manual resizing, while quiet periods avoid burning budget on idle resources. The goal: reduce operational friction, improve predictability under load, and simplify day‑to‑day management—without changing applications or re‑architecting your environment.

Attendees will leave with a clear mental model of why variability is so hard to plan for, how consumption‑aligned compute mitigates those challenges, and what patterns make PostgreSQL deployments more resilient, cost‑efficient, and easier to operate.