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DBA as a Service for PostgreSQL: Expert-Led Support for Databases That Power Your Business

Let us start with some simple math. 24/7 coverage means 168 hours a week. A full-time engineer typically works a 40-hour week. That means you need 4.2 people just to ensure round-the-clock presence — and that is before factoring in weekends, public holidays, personal days, or unplanned absences. Realistically, you need a team of six to ensure someone is available at all times to look after your database. That is why we built DBA as a Service at Stormatics. It is a managed PostgreSQL operations partnership, designed specifically for high-growth teams that need reliable, expert-led care for their database layer, allowing them to stay focused on product delivery.
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A Guide to Deploying Production-Grade Highly Available Systems in PostgreSQL

In today’s digital landscape, downtime isn’t just inconvenient, it’s costly. No matter what business you are running, an e-commerce site, a SaaS platform, or critical internal systems, your PostgreSQL database must be resilient, recoverable, and continuously available. So in short: High Availability (HA) is not a feature you enable; it’s a system you design.
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PostgreSQL Index Corruption on Windows

PostgreSQL index corruption on Windows can silently bring your systems to a halt. A leading video analytics SaaS platform, built for real-time alerting and operational insights, began facing critical performance issues as it scaled.
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Replication Types and Modes in PostgreSQL

Data is a key part of any mission-critical application. Losing it can lead to serious issues, such as financial loss or harm to a business’s reputation. A common way to protect against data loss is by taking regular backups, either manually or automatically. However, as data grows, backups can become large and take longer to complete.
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Disaster Recovery Guide with pgbackrest

Recently, we worked with a client who was manually backing up their 800GB PostgreSQL database using pg_dump, which was growing rapidly and had backups stored on the same server as the database itself. This setup had several critical issues: - Single point of failure: If the server failed, both the database and its backups would be lost. - No point-in-time recovery: Accidental data deletion couldn’t be undone. - Performance bottlenecks: Backups consumed local storage, impacting database performance. To address these risks, we replaced their setup with pgBackRest, shifting backups to a dedicated backup server with automated retention policies and support for point-in-time recovery (PITR). This guide will walk you through installing, configuring, and testing pgBackRest in a real-world scenario where backups will be configured on a dedicated backup server, separate from the data node itself.
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From 99.9% to 99.99%: Building PostgreSQL Resilience into Your Product Architecture

Most teams building production applications understand that “uptime” matters. I am writing this blog to demonstrate how much difference an extra 0.09% makes. At 99.9% availability, your system can be down for over 43 minutes every month. At 99.99%, that window drops to just over 4 minutes. If your product is critical to business operations, customer workflows, or revenue generation, those 39 extra minutes of downtime each month can be the difference between trust and churn.
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Choosing the Right Barman Backup Type and Mode for Your PostgreSQL Highly Available Cluster

When running a PostgreSQL database in a High Availability (HA) cluster, it’s easy to assume that having multiple nodes means your data is safe. But HA is not a replacement for backups. If someone accidentally deletes important data or runs a wrong update query, that change will quickly spread to all nodes in the cluster. Without proper safeguards, that data is gone everywhere. In these cases, only a backup can help you restore what was lost. The case mentioned above isn’t the only reason backups are important. In fact, many industries have strict compliance requirements that make regular backups mandatory. This makes backups essential not just for recovering lost data, but also for meeting regulatory standards. Barman is a popular tool in the PostgreSQL ecosystem for managing backups, especially in High Availability (HA) environments. It's known for being easy to set up and for offering multiple types and modes of backups. However, this flexibility can also be a bit overwhelming at first. That’s why I’m writing this blog to break down each backup option in a simple and clear way, so you can choose the one that best fits your business needs.
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The Odoo Performance Fix You’ve Been Looking For

When your business depends on Odoo CRM and starts to slow down, operations suffer. That is precisely what happened to a fast-growing delivery company that relied on speed, both on the streets and in the back office. As their customer base grew, load times for key CRM screens ballooned to five minutes, reports stalled, and internal workflows were disrupted. Their application looked fine. But the problem, like in many scaling Odoo deployments, was deeper: unoptimized PostgreSQL.
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Which PostgreSQL HA Solution Fits Your Needs: Pgpool or Patroni?

When designing a highly available PostgreSQL cluster, two popular tools often come into the conversation: Pgpool-II and Patroni. Both are widely used in production environments, offer solid performance, and aim to improve resilience and reduce downtime; however, they take different approaches to achieving this goal. We often get questions during webinars/talks and customer calls about which tool is better suited for production deployments. So, we decided to put together this blog to help you understand the differences and guide you in choosing the right solution based on your specific use case. Before we dive into comparing these two great tools for achieving high availability, let's first take a quick look at some of the key components involved in building a highly available and resilient setup.
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