Stormatics

Happening Tomorrow! Join Stormatics & DBtune to learn how teams achieved up to 80% performance gains through smarter tuning; query plans, indexing, AI-driven parameters, and memory stability. Register: na2.hubs.ly/H04jHCp0

Whop moved PostgreSQL from Heroku to AWS to scale after their Series A. Stormatics used WAL log shipping to work around replication limits, completed cutover in <10 minutes, and deployed a 3-node HA cluster with repmgr + Barman backups. Case study: na2.hubs.ly/H04cSNy0

Replication lag becomes visible when PostgreSQL workloads move from single-region to distributed architectures. Our benchmark study compares replication lag in single-region vs multi-region setups using pgbench and HammerDB. Download the whitepaper: na2.hubs.ly/H04b4T30

PostgreSQL is proven. At scale, performance becomes a business risk affecting revenue, cost, incidents, and engineering velocity. This guide helps leaders evaluate and manage that risk. na2.hubs.ly/H047nWv0

Is scaling hardware the only way to improve PostgreSQL performance? Not really. Join our webinar with DBtune on 17 March, 3 PM GMT. Learn how targeted PostgreSQL tuning delivered up to 80% average performance gains without new infrastructure. Register: na2.hubs.ly/H044DdB0

ORM-driven apps can slow down due to missing indexes, not bad queries. This case study shows how strategic PostgreSQL indexing improved performance by up to 80% without changing application code by fixing heavy seq scans and missing foreign key indexes. na2.hubs.ly/H03YHdm0

PostgreSQL performance issues build up quietly as traffic grows: slow queries, indexing gaps, autovacuum lag, and memory settings that no longer scale. Our whitepaper shows how to diagnose root causes and optimize for growth. Download: na2.hubs.ly/H03XHjk0

Join Warda Bibi, PostgreSQL Consultant at Stormatics, tomorrow (25 Feb, 3PM GMT) for “PostgreSQL Query Optimization: How to Read EXPLAIN ANALYZE” with a live demo. Learn to read execution plans, spot bottlenecks, and optimize slow queries. Register: na2.hubs.ly/H03TkVN0

High availability is critical for mission-ready PostgreSQL. Pgpool adds pooling, load balancing, and failover, while pg_cirrus automates production-grade HA deployments. See how Stormatics and Microsoft built a resilient Postgres cluster: na2.hubs.ly/H03NP1W0

If you’re running the same expensive join and aggregation on every dashboard load, you’re paying for it every time. At scale, that turns into timeouts and unstable latency. Materialized views change that trade-off. Read the blog: na2.hubs.ly/H03MhZL0

Join Stormatics’ One-Day Intensive PostgreSQL Training on 26 March 2026. Learn architecture, security, indexing, HA, replication, backups, PITR & performance tuning. Built for DBAs, engineers & tech leads working at scale. Register: na2.hubs.ly/H03FGkJ0

On 12 Nov 2025, we hosted a fireside chat with Bruce Momjian (PostgreSQL core team, VP Postgres Evangelist at EDB). Umair Shahid connected PostgreSQL 18 performance improvements to real production impact. Watch the recording here: na2.hubs.ly/H03wC2k0

PostgreSQL scales well, but many prod systems run on overly safe defaults. This blog breaks down two settings that matter most: shared_buffers and work_mem, how they behave under concurrency, cause disk spills, and how to tune them with real metrics. na2.hubs.ly/H03svTh0

High availability in PostgreSQL relies on solid replication, failover planning, and discipline. In this session, Boriss of EDB covers how to design resilient, production-ready Postgres systems, common HA patterns, pitfalls, and best practices. Watch: na2.hubs.ly/H03mndr0

PostgreSQL can run on Kubernetes, but should it for your operating model? K8s adds layers that complicate diagnosis during incidents. VMs offer a smaller surface area and clearer failure modes. This post breaks down when each wins: na2.hubs.ly/H03jhp60

Early PostgreSQL architecture choices can make or break scalability. Stormatics Developer Support gives your team direct access to PostgreSQL experts to review schemas, and validate decisions so your database is production-ready before launch. na2.hubs.ly/H03cLqz0

Resilient PostgreSQL backups combine logical and physical methods. Logical backups are portable and selective for migrations and upgrades. Physical backups enable PITR and incremental restores for disaster recovery. Best setups use both. na2.hubs.ly/H03bW2s0

Disaster recovery is critical to PostgreSQL production resilience. In this webinar, Semab Tariq and Warda Bibi break down real-world DR strategies, the difference between HA and DR, and why backups are the foundation of recovery. Watch here: na2.hubs.ly/H038GSF0

Indexes drive PostgreSQL performance, but the wrong choice can quietly slow queries. Join Chris Travers of Stormatics on 21 January 2026 at 2 PM GMT for a hands on webinar on advanced indexing for real world workloads. Register here: na2.hubs.ly/H032QL60

Most teams never hit PostgreSQL’s 1600 column limit, but wide tables cause pain long before that. More I O per row, higher WAL, slower replicas, risky schema changes. The limit is not the real problem. na2.hubs.ly/H031Hm90