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Helping businesses scale PostgreSQL reliably for critical data 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 meet

s your team wherever they are. Our team works alongside yours to design robust architectures, fine-tune performance, and provide 24x7 SLA-backed support, grounded in deliberate, real-world practices. The outcome is a PostgreSQL environment that is stable, resilient, and scalable.

14/01/2026

Most teams never hit PostgreSQL's 1,600-column limit, but they face the consequences of wide tables long before reaching it.

Query latency climbs as more I/O is required per row and cache efficiency drops. WAL volume increases because updates write full row versions, leading to higher replication lag. Backups grow larger and take longer to restore. Schema changes become high-risk events that require careful planning and off-hours deployment windows.

When you're responsible for uptime and customer SLAs, wide tables create predictable production problems that force reactive decisions or expensive infrastructure scaling.

The real issue isn't the limit itself but how wide tables hurt performance and operational stability well before you approach 1,600 columns:

- Fewer rows per page means more I/O and less cache efficiency
- Updates write full row versions, increasing WAL and replication lag
- Dropped columns still count toward the limit even if they're invisible
- SELECT queries across wide tables can hit the 1,664 result-column ceiling

The blog covers what actually causes wide tables, how to audit your schema in under 10 minutes, and fix patterns that scale.

Read the full breakdown: https://na2.hubs.ly/H031JjH0

07/01/2026

PostgreSQL optimization isn’t optional in fintech.

Card authorizations, digital wallets, risk engines, and settlement pipelines all rely on PostgreSQL delivering predictable performance every second of every day.

For financial platforms, downtime isn’t just inconvenient. It risks revenue, customer trust, and regulatory compliance.

Stormatics designs and operates PostgreSQL specifically for fintechs that require continuous availability and architectures built to scale under pressure.

Why financial teams choose Stormatics
- Guaranteed uptime
- Regulation-ready infrastructure
- Consistent performance at peak load
- Enterprise-grade PostgreSQL expertise

We keep your PostgreSQL stack highly available, audit-ready, and operationally simple so your teams can ship faster with confidence.

Need reliable, stress-free PostgreSQL at scale?
https://na2.hubs.ly/H02XQGT0

23/12/2025

High availability is something every team wants, especially once an application is in production and user expectations are high. When systems go down, business stops, customers are impacted, and teams are forced into reactive mode.

What often makes HA feel difficult is the assumption that it requires deep expertise across every tool involved or that open-source solutions are not sufficient for production-grade reliability. These assumptions create unnecessary complexity before the real requirements are even understood.

Before choosing any architecture or tools, it’s important to clearly define a few operational expectations:

- How much downtime the business can tolerate over a year
- How quickly systems need to recover after a failure
- How much data loss is acceptable in the worst case

Once these are clear, the HA design becomes far more straightforward and aligned with actual business needs. Teams can avoid over-engineering, control costs, and still build reliable systems using open-source tools.

Read the blog: https://na2.hubs.ly/H02Mnw60

16/12/2025

Happening tomorrow. Last chance to register.

Join Mughees Ahmed and Warda Bibi, PostgreSQL Consultants at Stormatics, for a hands-on, practical session on 17 December 2025 at 3:00 PM GMT focused on unlocking performance gains in production PostgreSQL systems.

Topics covered include:
- Tuning memory parameters such as shared_buffers and work_mem
- How to right-size max_connections and effective_cache_size
- Checkpoint behavior and background writer tuning
- Autovacuum best practices and performance diagnostics

This session is designed for engineers working with PostgreSQL in real production environments and focuses on practical, immediately applicable guidance.

Reserve your spot here:
https://na2.hubs.ly/H02Cl9N0

11/12/2025

A recent industry quote suggested a high-growth AI company switched to MongoDB because "PostgreSQL could not just scale."

But scaling is an engineering discipline, not a brand attribute. When a system "cannot scale," the blocker is rarely the database technology itself, it is usually the design, implementation, or operational discipline.

In this blog, Umair Shahid challenges this narrative and clarifies the real-world architectural patterns that keep PostgreSQL robust under pressure:
- Vertical Scale: How single, well-tuned nodes handle hundreds of thousands of transactions per second
- Horizontal Scale: Utilizing native streaming replication and connection routing for read-heavy workloads
- Partitioning: Strategies to manage index bloat and improve cache efficiency automatically
- Distributed Systems: When to leverage services like Citus, Aurora, or YugabyteDB for massive scale-out

Read the complete blog: https://na2.hubs.ly/H02wv7f0

09/12/2025

In a Patroni-based PostgreSQL cluster, HAProxy plays a critical role in ensuring high availability.

When a failover happens, Patroni promotes a new primary node. But unless traffic is rerouted quickly, your application could still be sending requests to the old, inactive node.

This is where HAProxy steps in:
- Monitors node health via Patroni APIs
- Automatically updates backend routing
- Switches traffic to the new primary within seconds

All of this happens automatically, with no manual intervention required. Your apps stay up, and your SLAs stay intact.

If database uptime is critical to your operations, HAProxy is a crucial ally in a Patroni cluster.

Need help with auto-failover? Check out our DBA as a Service offering: https://na2.hubs.ly/H02slDw0

08/12/2025

Registrations for our PostgreSQL for Oracle DBAs: One-Day Intensive Training close today at 11:59 PM GMT.

This crash course was created for experienced Oracle professionals who want a clear, practical understanding of how PostgreSQL operates in production. The focus is simple: map what you already know to how PostgreSQL handles availability, backups, replication, storage, and day-to-day operations.

We cover the architectural differences that matter, the behaviours that surprise most Oracle DBAs, and the patterns that lead to stable PostgreSQL environments from day one.

If you want to build PostgreSQL confidence without unlearning years of Oracle experience, this training is designed for exactly that.
Book your seat here: https://na2.hubs.ly/H02qSSc0

03/12/2025

Understanding how PostgreSQL handles locking helps you avoid deadlocks and performance bottlenecks.

Locks are a double-edged sword: they are essential for data consistency, but they can kill scalability if not managed correctly.

Key concepts one should know:
- Lock Hierarchy
- Implicit vs. Explicit
- The Trade-off

How you can mitigate locking challenges:
- Minimize Duration
- Consistent Ordering
- Monitor Contention

Understanding these mechanics is the difference between a database that scales and one that stalls under load.

Read the full guide on PostgreSQL Locking: https://na2.hubs.ly/H02lSTF0

02/12/2025

If you are an experienced Oracle DBA, moving to PostgreSQL. you don't need to start from scratch. What you need is the understanding where the architectures align and where they diverge.

On popular demand, Stormatics is bringing back our One-Day Intensive PostgreSQL Training for Oracle DBAs. This will be the final run at our limited time pricing of $150.

This instructor-led session translates your deep Oracle expertise into PostgreSQL mastery. We skip the basics you already know and focus on the translation layer:
- Architecture & Configuration
- Security & Access
- Storage & Indexing
- Backup frameworks and navigating documentation

Walk away with the confidence to manage PostgreSQL production environments without unlearning your years of experience.

Reserve your spot here: https://na2.hubs.ly/H02kDk50

28/11/2025

ORDER BY with LIMIT looks simple, but on large tables it can become a silent performance bottleneck. PostgreSQL still needs to sort data before applying LIMIT, and without the right index, that sort can be expensive.

In our test table of 100,000 rows, a basic SELECT with LIMIT is fast, but adding ORDER BY forces PostgreSQL to:
- scan the entire table
- sort all rows
- then return the top 5

Total cost: 68 ms.

After adding an index on the sort column, the same query drops to 0.05 ms. PostgreSQL uses an Index Scan and returns the first rows directly in sorted order, no table scan, no full sort.

In this blog, Semab walks you through the full example with EXPLAIN ANALYZE including:

- sequential scan vs limit
- ORDER BY impact on large tables
- how top-N heapsort works
- how indexing eliminates the sort entirely

Read the full breakdown here:https://na2.hubs.ly/H02gQbH0

26/11/2025

We recently worked with a client who was manually backing up their 800GB PostgreSQL database using pg_dump, with backups stored on the same server. This setup had several critical flaws:

- Single point of failure
- No point-in-time recovery
- Performance bottlenecks

We replaced their setup with pgBackRest, moving backups to a dedicated server with automated retention policies and full support for Point-in-Time Recovery (PITR).

The new solution provided:
- Faster backups with parallel processing
- Secure, encrypted backups stored off-site
- A more efficient retention policy with automated cleanup

This blog takes you step-by-step through the process of setting up pgBackRest for your PostgreSQL disaster recovery, ensuring your backups are faster, safer, and more reliable.

Read the blog: https://na2.hubs.ly/H02d-QM0

25/11/2025

Final call to register for the webinar tomorrow!

Join Semab Tariq and Warda Bibi from Stormatics tomorrow for an exclusive session “Achieving 99.99% PostgreSQL Uptime with Open Source Tools”. They will demonstrate how to use tools like TPA, Patroni, pgbouncer, and Barman for PostgreSQL cluster deployment.

In this hands-on webinar, you’ll learn:
- Rapid PostgreSQL HA cluster deployment with TPA
- Real-world architecture combining Patroni, pgbouncer, and Barman
- Best practices for dev, staging, and prod rollouts

Don’t miss out on this chance to enhance your PostgreSQL expertise. Register now: https://na2.hubs.ly/H02d5Mg0

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