Boost PostgreSQL Performance for Enterprise Workloads
PostgreSQL is a fully open-source database that is now more enterprise-ready than ever. With the right strategy, organizations can achieve exceptional PostgreSQL performance even under heavy read/write workloads. While many turn to costly open-core solutions, using the open-source version along with a smart infrastructure plan often delivers better results at lower cost.
Moreover, pairing PostgreSQL with advanced storage and operational strategies ensures that your database performs reliably under production conditions. For example, enterprises that optimize their storage can see substantial improvements in transactions per second (TPS) and overall system responsiveness.
ZippyOPS helps organizations achieve these outcomes through consulting, implementation, and managed services in areas like DevOps, DevSecOps, DataOps, Cloud, Automated Ops, AIOps, MLOps, Microservices, Infrastructure, and Security. Learn more about our services and solutions.
How We Tested PostgreSQL Performance
To evaluate PostgreSQL performance, we ran experiments using an 8-core cluster. A separate VM running pgbench simulated application requests to the database over the network. Two storage configurations were tested:
- Azure Premium SSD (DS13 instance)
- Azure NetApp Files (ANF) premium storage (E8s_v4 instance)
We preloaded the databases with 1.5TB of data to accurately reflect production workloads. Testing used multiple client counts (4, 8, 16, 32, 64, 96) and was repeated three times to ensure consistent results.
For those interested in the full setup and scripts, they are publicly available on GitHub.
Performance Tuning Tips
Initial testing revealed that PostgreSQL servers performed well when the client count matched CPU cores but dropped off with higher concurrency. By optimizing WAL compression and bgwriter_delay, we were able to sustain higher throughput across all client loads. These tuning strategies are now integrated into Instaclustr Managed PostgreSQL and demonstrate real-world benefits.
Enterprises working with PostgreSQL performance can also leverage ZippyOPS expertise for optimization, including cloud architecture, microservices integration, and security enhancements. Check out our products for tailored solutions.
Results: Read/Write Workloads
Using ANF storage, PostgreSQL showed a marked improvement in TPS:
- Peak improvement: 167% faster than Azure Premium Disk at eight clients
- Minimum improvement: 127% faster at 32 clients
The high IOPS of ANF storage consistently outperformed traditional SSD setups, demonstrating reliability and speed even in high-concurrency scenarios.
Results: Read-Only Workloads
For read-heavy applications, the benefits were even more striking:
- Peak improvement: 325% faster TPS at 64 clients
- Minimum improvement: 193% faster TPS at 16 clients
These results emphasize how storage strategy dramatically impacts PostgreSQL performance.
Why Storage Matters for PostgreSQL Performance
For teams handling demanding read/write workloads, high-speed storage is critical. Even smaller workloads benefit from premium Azure disks, but enterprise deployments see the most pronounced gains. Pairing PostgreSQL with smart storage and operational strategies amplifies the inherent advantages of open-source software.
Additionally, adopting a comprehensive operational approach, such as those offered by ZippyOPS, ensures performance, security, and reliability. Explore our YouTube tutorials for demos and expert guidance.
Conclusion
Optimizing PostgreSQL performance requires more than just the right database version. Infrastructure, tuning, and operational strategies all play a critical role. By combining high-performance storage with managed services from ZippyOPS, enterprises can unlock the full potential of PostgreSQL for both read and read/write-intensive workloads.
For professional guidance, consulting, and managed PostgreSQL services, contact ZippyOPS at sales@zippyops.com.
