PostgreSQL Monitoring

What is PostgreSQL Monitoring?

PostgreSQL, an open-source relational database system, offers SQL and JSON query techniques, making it one intelligent and enterprise-level database system. With a history of 20 years of development, PostgreSQL is one primary database used in both web and mobile applications. Thus, the advanced list of features makes it is one of IT enterprises’ most favorite database systems. The heavy transactions and dependencies make it compulsory to monitor the database system to ensure security and availability.

Monitoring slow PostgreSQL queries with the Real-time Activity States

Intelligent monitoring tool such as AIOps offers real-time activity reports about the health and status of the PostgreSQL database system. Analyze requirements for dynamic graphs, custom stats series, performance analysis, and server health summary with PostgreSQL monitoring. On the other hand, identifying the weak performance and slow queries is what we do monitoring for. While working with OLTP (OnLine Transaction Processing), the application does not respond and provides a slow result; it drops the conversation rates and a painful user experience. OLTP is one of the common practices to ensure smooth queries. There are three basic ways to identify slow queries.

-Make use of the slow query log

-Checking execution plans with auto_explain

-Relying on the accumulated information in pg_stat_statements

Take control over PostgreSQL Monitoring

With monitoring the PostgreSQL database, several actions come along that easies the monitoring practice. Below are a few activity practices that can make your database system smart and motoring advanced.

Monitor: View the current activity of databases with DBA-centric stats, including database size, longest queries, WAL files generation; locks, backend status, hit ratio, streaming replication lag, system load, and page bloat with multiple servers in production.

Customize: Offers end-to-end monitoring of PostgreSQL databases with customizations including availability, cache ratios, table sizes, and other important metrics.

Report: Export real-time performance and availability report fetched by the PostgreSQL monitoring tool in PDF or Excel format and share with the concerned team directly. Save time and energy to jot down the essential metrics. Generate reports on the go, in the choice of file format as per your inclination.

Troubleshoot: Implementing efficient PostgreSQL monitoring increases database performance, application availability and improves predictive analysis of storage needs with index performance. PostgreSQL monitoring includes and extends remote agents, a stat storage system, and an online interface.

Key Metrics for PostgreSQL Monitoring

Read: The PostgreSQL database collects the status of the activity of the database. This activity involves the database’s performance and its behavior. Being one of the major metrics of monitoring practice, reading the metrics ensures that the application can access the data from the database.

Write: Once your application starts reading the data from the PostgreSQL database, it is essential to monitor the efficiency of writing data into the same database system. If any errors occur while writing/updating anything in the database, it indicates the problems such as duplicity and reliability. That is why it is important to have writing/updating practice smooth to ensure the application’s good health and behavior.

Replication & Reliability: Whenever there is a change in the database, PostgreSQL records it in the Write-ahead-log (WAL) and updates the page. In a way, the database is maintained, and it stays reliable. Once the update is recorded, the database commits the WAL to secure the data. As the transaction is logged into the WAL, PostgreSQL checks if there is blockage of the memory. In that case, it will update in the memory and mark it as dirty.

Resource Utilization: Like most database systems, PostgreSQL also depends on various sources to operate functions successfully. Sources such as disk, memory, CPU, network bandwidth, etc. Monitoring system-level sources can ensure that the sources are available, and PostgreSQL can access the required metrics. In addition, PostgreSQL collects the metrics of utilized sources as well. Metrics such as resource usage, number of connections, disk utilization, etc.

Effective PostgreSQL Monitoring with Inherent Functions

Easy to Maintain: PostgreSQL monitoring tool like AIOps is designed and created to possess much lower maintenance and standardization needs. It can retain multiple options, stability, and performance. AIOps’ database monitoring tool is very straightforward to identify problems and issues which make every stakeholder’s job simpler

Exceedingly Adaptable: PostgreSQL monitoring can be customized and extended with minimum effort. PostgreSQL monitoring tools like ours are adaptable to new approaches and track server hardware health with remote actions to remediate any server issues.

Highly Compatible: With a high level of compatibility and flexibility, our PostgreSQL monitoring tool monitors the health and availability of the hosted servers. It tracks resource usage in line with the available capacity and anticipated trends. In addition, it takes complete care of the database’s server health and utilizes remote conducts to work on the needed server problems.

Remarkably Comprehensive: It enables intelligent alerts for quicker troubleshooting, monitors the availability and health of heterogeneous servers, and makes things easier for troubleshooting by mapping which applications are active on which virtual machines, and which storage volumes the applications are joined to.