At Stormatics, we believe PostgreSQL should be the most reliable part of your stack. It should be resilient under pressure, predictable at scale, and engineered with intention. We believe in empowering organizations to unlock PostgreSQL’s full potential for their critical data workloads.
We bring deep PostgreSQL expertise shaped by decades of experience in critical production databases. Our 360° services model adapts to your environment, whether cloud, on-prem, or hybrid, and meets your team
Most teams assume their PostgreSQL database is covered around the clock, but a single engineer only covers 40 of the 168 hours your database runs each week. Our coverage gap calculator shows exactly how many DBAs your setup actually requires, how much engineering time is going toward database work, and where your current coverage falls short.
Try it here: https://stormatics.tech/service/postgresql-dba-as-a-service#cost
Creating an index does not guarantee PostgreSQL will use it, which makes tuning hard to validate at scale. Join us on 22 April 2026 at 3 PM GMT for “Automating PostgreSQL Index Tuning Using AI” with Warda Bibi. Learn how to find slow queries, simulate indexes safely, automate index discovery, and evaluate strategies with AI.
Register: https://resources.stormatics.tech/automating-postgresql-index-tuning-ai
Over the last three years, we’ve learned that PostgreSQL high availability works in layers. Strong outcomes start with clear recovery and data loss targets, then depend on failover and restore being treated as owned procedures with runbooks, and on recovery paths being proven in practice. Read Umair Shahid’s blog on thinking of PostgreSQL high availability as layers.
Read more: https://stormatics.tech/blogs/thinking-of-postgresql-high-availability-as-layers
As Stormatics marks its third anniversary, we want to start with one simple thing: thank you to every team that trusted us with PostgreSQL.
Supporting critical databases across 20+ countries has taught us that performance work starts with prioritization. In most environments, a small number of queries drives most of the load.
Read the whitepaper: https://resources.stormatics.tech/high-performance-postgresql-practical-guide-to-optimization
Stormatics is 3 this week. What started as a focused effort to help teams run PostgreSQL in critical production environments has grown into a team of 11 supporting 35+ customers across 20+ countries. The mission hasn’t changed: meet teams where they are with PostgreSQL and help them operate it reliably at scale.
PostgreSQL is stable and trusted for mission-critical systems. But as organizations scale, performance becomes more than a technical issue. It shapes customer experience, infrastructure efficiency, and engineering velocity. That is why we created this manager guide: to help leaders manage PostgreSQL performance proactively as their organisations grow.
https://resources.stormatics.tech/when-postgresql-performance-becomes-a-business-risk
PostgreSQL performance issues don’t always require scaling hardware.
Tomorrow, Stormatics & DBtune are hosting a webinar on “Achieving 80% PostgreSQL Performance Gains Without Scaling Up.”
Semab Tariq and Mohsin Ejaz will share real tuning work that cut query times to seconds, reduced CPU usage by 70%, stabilized memory, and improved batch workloads covering query plan analysis, AI-assisted parameter tuning, indexing, and PostgreSQL internals.
Register: https://resources.stormatics.tech/postgresql-performance-gains-without-scaling-up
Whop migrated PostgreSQL from Heroku to AWS after their Series A to unlock scalability. Heroku lagged on PostgreSQL versions, limited extensions, and didn’t support external replication—making migration harder. Stormatics built a WAL log shipping path, completed cutover in under 10 minutes, and deployed a 3-node HA cluster with repmgr plus Barman backups and PITR.
Read the case study: https://resources.stormatics.tech/whop-database-infrastructure-migration
