Stormatics

@StormaticsTech
58 Followers
235 Following
153 Posts

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

Stormatics is sponsoring @PgDayBoston on June 9 at the Museum of Science.

We're looking forward to a great day of PostgreSQL discussions and connecting with the community.

See you in Boston!

https://2026.pgdayboston.org/registration/

We are pleased to welcome @StormaticsTech as a Bronze Sponsor ⭐

Thank you for supporting PG Data 2026 and our community 🤝
Learn more: hhttps://stormatics.tech/

#PGData #PGData2026 #PostgreSQL 🐘 #TechCommunity #DataEngineering #OpenSource #Sponsorship

Tomorrow at 3 PM GMT, Umair Shahid, Founder & CEO at Stormatics, will explain how PostgreSQL performance issues quietly increase infrastructure costs, operational overhead, and production pressure over time.

The session covers query behavior, I/O patterns, WAL growth, memory pressure, lock contention, and practical ways to improve performance without overprovisioning.

Register here: https://resources.stormatics.tech/the-hidden-cost-of-postgresql-performance

Whop needed to migrate from Heroku to AWS to support the next stage of scale, but Heroku’s PostgreSQL limitations made the move challenging, especially around replication and ecosystem flexibility.

Stormatics designed and implemented a PostgreSQL architecture on AWS EC2 with high availability, PITR, backups, and connection pooling, completing the migration in under 10 minutes while reducing active connections from 150 to 50.

Read the full success story here: https://resources.stormatics.tech/whop-database-infrastructure-migration

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

As customers scale, the question changes from “Can PostgreSQL handle it?” to “Can we operate it predictably as it grows?” We’ve learned that scaling is rarely blocked by PostgreSQL itself. More often, it’s limited by operational capability: tuning consistently, responding well to incidents, and preventing repeat issues as traffic and data grow. Next year, we’re doubling down on DBA as a Service and AI augmentation to make expert ops continuously available.

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

As Stormatics marks three years, thank you. To our customers, thank you for trusting us with your production PostgreSQL environments. Supporting mission-critical databases across regions, industries, and time zones is a responsibility we value deeply. To the PostgreSQL community, thank you for building the foundation that makes this work possible. We’re grateful to be part of the journey.