Most database Administrator's would be tuning the performance of their databases for it to perform effectively with the applications. There might be situations like a table space running out of space to extend, a batch window extends into a day, a query that won't stop running and eat-up the resources available, or excess resources being used by a single process etc. Running any type of queries against the database would generate a larger load on the database server, and the less efficiently the query runs the more it consumes the CPU, I/O resources of the system. Since the resources are finite for a given server configuration, the transaction throughput would be very limited at peak traffic, leading to a larger response time. The proper allocation of resources within the system should help in proper usage of resources at all times according to the needs. These are some of the problems that databases encounter and it becomes the job of database administrator to inspect and improve the areas that have significant bottlenecks, for which it requires to measure certain resources to analyze the performance of the databases. This application focuses on the performance of the postgreSQL database, and provides a better way to visualize the trend in the database performance and to improve the overall performance of the database. This has been developed as a portlet which contains pluggable user interface software components that are managed and displayed in the portal. A portlet or collection of portlets resembles a web-based application that is hosted on a portal. This portlet is developed using the spring web framework which uses MVC architecture running on top of a tomcat server encapsulated within the open source Liferay Portal. This portlet allows the user to view the resources used by one or more postgreSQL databases. These values are graphed according to resources such as Total Active Sessions, Total Number of Disk Reads, Total Number of Disk Writes, memory usage, throughput, and CPU's such as System CPU, User CPU and wait I/O CPU, etc. It shows the graph with time on the horizontal axis and resource values on the vertical axis. This particular portlet can be used by the database administrators who can actually monitor the actual performance of the databases through the graphs and make critical decisions on how to improve the performance of the database.