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Webinar | Designing Layered High‑Availability Architectures for PostgreSQL on a Budget
Most PostgreSQL deployments treat high availability as a binary choice, either you have it or you don't. In practice, HA is a spectrum of layered decisions, and getting those layers wrong means paying for resilience you didn't get, or losing data you assumed was safe.
Join Umair Shahid, Founder & CEO at Stormatics, on 22 July 2026 at 3 PM GMT, where he will break down PostgreSQL high availability as a composable set of replication and failover patterns. Drawing on practical experience from deployments where four 9s availability was non-negotiable yet enterprise clustering licences were off the table, Umair will show you how to match each HA layer, local synchronous replication, asynchronous standbys, hot standbys, and cross-region disaster-recovery nodes, to your actual RPO and RTO targets, without overbuilding or overspending.
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Who will benefit:
This session is designed for database engineers, platform and infrastructure teams, and engineering leads responsible for PostgreSQL reliability in production. It is especially relevant for teams running on constrained budgets who need to meet formal availability targets, teams currently on single-region clusters who want to understand their exposure to a data-centre outage, and anyone who has deployed synchronous replication without being fully confident in what it costs them under load.
About the Speaker
Umair Shahid
Founder & CEO, Stormatics
Umair Shahid is the Founder & CEO of Stormatics, a specialist database services firm built to Elevate PostgreSQL in production. He works with fintechs, SaaS companies, and enterprises to design and run production-grade systems: resilient architectures, performance under load, security hardening, and migrations from proprietary databases across cloud and on-prem environments.
With more than two decades in the ecosystem, Umair is a subject matter expert who is regularly invited to speak at industry conferences. He publishes practical blogs and benchmark-driven white papers reaching more than 15,000 readers each month.