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From Commit to Cloud: Harnessing PostgreSQL on Azure

4 min read Azure BlogMay 13, 2026Reviewed for accuracy
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PostgreSQL has become foundational to how modern applications are built, and leveraging it effectively in the cloud is crucial for performance and scalability. Azure Database for PostgreSQL provides a robust service for open-source-aligned workloads, making it easier to lift and shift existing applications to the cloud. For cloud-native systems, Azure HorizonDB offers the scalability and low-latency resilience needed for demanding environments.

Microsoft runs PostgreSQL at global scale, encountering production bottlenecks that directly inform upstream contributions. Recent improvements in PostgreSQL 18, such as enhancements in asynchronous I/O, vacuum behavior, and query planning, are a testament to these real-world challenges. Understanding these improvements is vital for optimizing your PostgreSQL deployments on Azure.

In production, you need to be aware of how these services interact with your workloads. With 345 commits contributing to the latest PostgreSQL release, staying updated with these changes is essential for maintaining performance. The enhancements in query planning and I/O can significantly impact your application’s responsiveness and efficiency, so keep an eye on these aspects as you scale your operations.

Key takeaways

  • Leverage Azure Database for PostgreSQL for open-source workloads.
  • Utilize Azure HorizonDB for cloud-native applications requiring scale-out compute.
  • Stay updated on PostgreSQL improvements like asynchronous I/O and query planning.
  • Monitor production bottlenecks to inform your PostgreSQL configurations.
  • Understand the implications of recent commits on performance and scalability.

Why it matters

Using PostgreSQL effectively on Azure can drastically improve application performance and scalability, directly impacting user experience and operational efficiency.

When NOT to use this

The official docs don't call out specific anti-patterns here. Use your judgment based on your scale and requirements.

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