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Get information on PostgreSQL processes & how these processes may affect the current occurrences with PostgreSQL monitoring
Get Results and Stats of Everyday Activities from PostgreSQL Monitoring
Analyze requirements in the terms of dynamic graphs, custom stats series, performance analysis and server health summary with PostgreSQL monitoring.
View the present activity of databases, with DBA-centric stats which includes database size, longest queries, WAL files generation; locks, backends status, hit ratio, streaming replication lag, system load, and page bloat with multiple servers in production.
Offers end to end monitoring of PostgreSQL databases with customizations including availability, cache ratios, table sizes, and other important metrics.
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.
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.
Easy to Maintain
PostgreSQL monitoring tools like ours are designed and created to possess much lower maintenance and standardization needs. It can retain multiple options, stability, and performance. Motadata’s database monitoring tool is very straightforward to identify problems and issues which make every stakeholder’s job simpler.
PostgreSQL monitoring can be customized and extended with minimum efforts. PostgreSQL monitoring tools like ours are adaptable to new approaches and track server hardware health with remote actions to remediate any server issues.
With 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. It takes full care of the database’s server health and utilizes remote conducts to work out on the needed server problems.
It enables intelligent alerts for quicker troubleshooting, monitors the availability and health of heterogeneous servers as well as makes things easier for troubleshooting by mapping which applications are active on which virtual machines, and which storage volumes the applications are joined to.
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