High availability is critical once an application is in production and user expectations are high. Downtime stops business, impacts customers, and forces teams into reactive mode. Many assume HA requires deep expertise or expensive tools, but this adds unnecessary complexity. By defining tolerable downtime, recovery speed, and acceptable data loss, teams can build reliable systems with open-source solutions without over-engineering.

Read more: https://stormatics.tech/blogs/deploy-production-grade-highly-available-system-with-open-source-tools

Happening tomorrow. Last chance to register. Join Mughees Ahmed and Warda Bibi, PostgreSQL Consultants at Stormatics, on 17 December 2025 at 3:00 PM GMT for a hands on session on unlocking performance in production PostgreSQL. Learn practical tuning of memory, connections, checkpoints, background writer behavior, and autovacuum for real systems.

Register here: https://resources.stormatics.tech/unlocking-high-performance-postgresql

An industry quote claimed a fast-growing AI company moved to MongoDB because PostgreSQL could not scale. But scaling comes from engineering, not branding. When systems struggle, the issue is usually design or operations. Umair Shahid’s blog shows how vertical and horizontal scale, partitioning, and distributed systems keep PostgreSQL strong.

Read the complete post: https://stormatics.tech/blogs/postgresql-mongodb-and-what-cannot-scale-really-means

In a Patroni based PostgreSQL cluster, HAProxy is essential for high availability. When a failover occurs, Patroni promotes a new primary node, but applications can keep sending traffic to the old primary if routing is not updated quickly. HAProxy continuously monitors node health through Patroni APIs and automatically redirects traffic to the new primary within seconds. This process requires no manual action, keeping applications online and SLAs intact.

Learn more: https://stormatics.tech/service/postgresql-dba-as-a-service

Years of Oracle experience shouldn’t slow your move to PostgreSQL. This one-day intensive training is built for Oracle DBAs who want a practical, production-focused understanding of PostgreSQL. We translate familiar Oracle concepts into how PostgreSQL really handles backups, availability, replication, storage, and daily operations. Registration closes today at 11:59 PM GMT.

Register here: https://resources.stormatics.tech/postgresql-for-oracle-dbas-one-day-intensive-training

A clear understanding of how PostgreSQL handles locking is essential to preventing deadlocks and performance stalls. Locks ensure consistency but can restrict scalability when held too long or used inconsistently. Knowing the lock hierarchy, the difference between implicit and explicit locking, and how to reduce contention helps keep workloads stable under load.
Read the full blog: https://stormatics.tech/blogs/locks-in-postgresql-concurrency

If you're an experienced Oracle DBA transitioning to PostgreSQL, you don’t need to relearn everything, just understand where both systems align and diverge. By popular demand, Stormatics is bringing back its One-Day Intensive PostgreSQL Training for Oracle DBAs, one last time at $150. This instructor-led session focuses on architecture, security, storage, indexing, and backup frameworks so you can confidently run PostgreSQL in production.

Register: https://resources.stormatics.tech/postgresql-for-oracle-dbas-one-day-intensive-training

ORDER BY with LIMIT seems simple, but on large tables it can quietly slow queries. PostgreSQL must sort rows before applying LIMIT, and without an index that sort is costly. In a table of 100000 rows, sorting before returning only five rows took 68 ms. After adding an index, the query used an Index Scan and ran in 0.05 ms. Semab’s blog explains the full example, from sequential scans to how indexing avoids sorting.
Read more here: https://stormatics.tech/blogs/performance-impact-of-using-order-by-with-limit-in-postgresql

A client relied on manual pg_dump backups for an 800GB PostgreSQL database, storing everything on the same server. This created a single point of failure, no point in time recovery, and regular performance issues. We moved them to pgBackRest on a dedicated backup server with automated retention, encrypted off site storage, and full PITR support. Backups are now faster, safer, and easier to manage. Read the blog: https://stormatics.tech/blogs/disaster-recovery-guide-with-pgbackrest

Final call to register for the webinar tomorrow. Semab Tariq and Warda Bibi from Stormatics will lead an exclusive session on achieving 99.99% PostgreSQL uptime with open source tools. They will show how TPA, Patroni, pgbouncer, and Barman support high availability and guide you through deployment practices for dev, staging, and production. Register now: https://resources.stormatics.tech/achieving-postgresql-ha-with-open-source-tools

Join our one-day PostgreSQL training for Oracle DBAs on December 11. This live, hands-on session helps Oracle DBAs and engineers quickly build PostgreSQL skills: covering architecture, setup, security, storage, indexing, backups, and replication. Gain confidence to run PostgreSQL in production.
Limited-time price: $150.
Register: https://resources.stormatics.tech/postgresql-for-oracle-dbas-one-day-intensive-training

Final discounted offering!

Patroni focuses on reliable, automated failover and clean leader election, making it ideal if you want a dedicated, isolated HA solution for PostgreSQL. Pgpool II offers a broader set of features, including connection pooling, load balancing, query routing, and failover. Choosing between them depends on your workload and how much HA complexity you’re willing to manage. Read the full comparison here: https://stormatics.tech/blogs/which-postgresql-ha-solution-fits-your-needs-pgpool-or-patroni

PostgreSQL doesn’t write changes to disk right away. Updates and inserts first live in memory as “dirty pages,” newer than what’s stored on disk. This design improves performance and crash safety, but when dirty pages pile up, they can cause I/O spikes and unpredictable slowdowns.

In this post, Umair Shahid breaks down how PostgreSQL manages dirty pages and shares tuning tips to keep performance steady.

Read more: https://stormatics.tech/blogs/what-are-dirty-pages-in-postgresql

Upgrading PostgreSQL often sounds risky: downtime, disruptions, and potential data loss. But it doesn’t have to be that way. With our zero-downtime PostgreSQL upgrade service, your database stays live while gaining better performance, stronger security, and access to the latest features.

We’ve helped teams like Whop migrate from Heroku to AWS seamlessly, even without native logical replication support. Upgrade confidently and keep your business moving: https://stormatics.tech/service/zero-downtime-postgresql-upgrade

Running PostgreSQL on large systems with many processors can be tricky. This is where Non-Uniform Memory Access (NUMA) becomes crucial for optimizing PostgreSQL. In this blog, we dive into the fundamentals of NUMA, focusing on:

- Why NUMA exists and its historical context
- How NUMA works and the tradeoffs it presents
- Key NUMA policies in Linux
- Memory and process migration challenges

Read the full blog: https://stormatics.tech/blogs/introduction-to-numa

As companies expand globally, keeping databases in sync across continents becomes a real challenge.

In his latest blog, Umair Shahid explains why replication lag happens in PostgreSQL, from network latency to WAL settings, and shares practical ways to reduce delays and improve performance.

Read here: https://stormatics.tech/blogs/understanding-factors-impacting-data-replication-latency-in-postgresql-across-geographically-distributed-nodes

A CTO recently told us, “Our developers are firefighting Postgres issues every other day. It’s not sustainable, but we don’t want to hire a full DBA team.” PostgreSQL powers modern applications, but when it slows down, everything from performance to customer experience feels the impact. That’s why we built PostgreSQL DBA-as-a-Service, for teams that need production-grade reliability without the overhead of an in-house DBA function.
Learn more: https://stormatics.tech/service/postgresql-dba-as-a-service

Tired of tracking down PostgreSQL issues that slow your database?

Join Mughees Ahmed tomorrow at 3PM GMT to discover how pg_gather simplifies troubleshooting by detecting table bloat, blocking sessions, and expensive indexes before they impact performance. Stay proactive and keep your DB running smoothly!

Register: https://resources.stormatics.tech/webinar-postgresql-troubleshooting-made-easy-with-pg_gather

The AWS incident this week is a reminder that relying solely on the cloud isn’t a sustainable strategy. Even a minute of downtime can cost revenue and frustrate customers. A solid disaster recovery plan: backups, RPO/RTO, testing, and clear ownership, ensures your data is safe.

Learn more: stormatics.tech/service/postgresql-disaster-recovery

#AWS #PostgreSQL

Our client’s business was growing faster than anyone expected, and the Odoo CRM couldn’t keep up. Pages slowed, queries lagged, and every second of delay risked frustrating users. By carefully reindexing queries and tuning the vacuum process for their workload, we transformed performance, achieving a 1000× improvement in just 15 hours and turning a bottleneck into a smooth, responsive experience.

Full story: 🔗 https://resources.stormatics.tech/postgresql-performance-improvement-last-mile-delivery-app