PostgreSQL Performance Tuning Tool
Visualize critical Postgres metrics with multi-dimensional query analysis to pinpoint performance issues
Cloud to on-premises PostgreSQL coverage
Monitor PostgreSQL databases anywhere—Linux, Windows, VMware, or cloud—with SolarWinds® Database Performance Analyzer (DPA). Our broad platform support includes PostgreSQL, EDB Postgres, Azure Database for PostgreSQL, Amazon RDS/Aurora for PostgreSQL, and Google Cloud SQL. DPA offers a hybrid management approach for PostgreSQL, giving a single-pane-of-glass view for performance tuning with <1% overhead, thanks to its agentless architecture.
Visibility into the PostgreSQL metrics that matter
DPA’s 24/7, down-to-the-second data collection measures a broad set of metrics for your PostgreSQL environment including key system metrics like disk, memory, and network. In addition, key PostgreSQL specific metrics are at your fingertips:
- Cache eviction
- Checkpoints
- Replication
- Vacuum
- Row operations
- License compliance
With these metrics and more, combined with real-time and historical views, DBAs have easy access to PostgreSQL tuning metrics.
Machine learning + query advisors = PostgreSQL optimization
DPA utilizes evolving machine learning for anomaly detection, leveraging seasonality to swiftly pinpoint performance issues, often in seconds.
Advanced wait-time analysis coupled with machine learning reveals query impacts, offering PostgreSQL optimization insights beyond traditional monitoring.
DPA takes PostgreSQL tuning a step further with expert advice via query advisors pointing out the culprits of performance degradation.
Table Tuning Advisors
Whether you're aiming for proactive optimization or troubleshooting existing bottlenecks, DPAs Table Tuning Advisors equips you with unparalleled insights into your PostgreSQL environment. Say goodbye to guesswork and hello to data-driven decisions.
DPA generates advisories in response to inefficient queries, providing comprehensive data on table use, query inefficiencies, and indexes.
Integrated monitoring for virtualized PostgreSQL
DBAs are often the point person when it comes to PostgreSQL performance tuning and analysis. When someone complains about poor application performance, the database back end often gets first blame.
But what if the PostgreSQL instance is running in a VMware virtual machine? Many times, the DBA has zero visibility into the impact—if any—of the virtual infrastructure supporting the Postgres instance. Integrated virtualization monitoring via the DPA VM Option provides DBAs with the data they need to determine if the VM is causing performance issues for Postgres or not.
Get More on PostgreSQL Performance Tuning
Do you find yourself asking…
Known for its reliability, feature robustness, and high performance, PostgreSQL is a highly scalable, open-source database management system. Due to the amount of data and users it can accommodate, tuning PostgreSQL is critical for ensuring performance. To effectively optimize performance, database tuning often involves monitoring for deeper visibility into query trends.
Tuning with a PostgreSQL tuning tool can help support your efforts to gain insights more easily with the following features:
- Monitoring: Tuning starts with gathering information through monitoring, so you can more easily pinpoint impacted resources. This includes insight into CPU, I/O, memory, network, and other key factors.
- Troubleshooting and diagnostics: Look at configuration and authentication, as well as resource logs and write-ahead logs, to get more insight into where problems could be occurring.
- Query tuning: You’ll need to find slow queries and rewrite them using best practices.
- Reporting and logging: By using reports and logs, it’s possible to more easily pinpoint when and where something went wrong, so you can tune effectively.
Known for its reliability, feature robustness, and high performance, PostgreSQL is a highly scalable, open-source database management system. Due to the amount of data and users it can accommodate, tuning PostgreSQL is critical for ensuring performance. To effectively optimize performance, database tuning often involves monitoring for deeper visibility into query trends.
Tuning with a PostgreSQL tuning tool can help support your efforts to gain insights more easily with the following features:
- Monitoring: Tuning starts with gathering information through monitoring, so you can more easily pinpoint impacted resources. This includes insight into CPU, I/O, memory, network, and other key factors.
- Troubleshooting and diagnostics: Look at configuration and authentication, as well as resource logs and write-ahead logs, to get more insight into where problems could be occurring.
- Query tuning: You’ll need to find slow queries and rewrite them using best practices.
- Reporting and logging: By using reports and logs, it’s possible to more easily pinpoint when and where something went wrong, so you can tune effectively.
PostgreSQL Performance Tuning and Optimization
Database Performance Analyzer
- Cloud to on-premises coverage
- Visibility into the metrics that matter
- Machine learning + query advisors
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