Search Results for "java jsp postgresql"
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Showing 10 open source projects for "java jsp postgresql"
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Performance Monitoring Tool for Java / J2EE Applications. Features: light-weight profiler, AOP based, lists API times, JDBC / SQL statistics, central logging, cluster support, web UI, call trees, configurable monitoring levels.
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MonitorJMX is a very small web application capable to monitor WebLogic Servers/Cluster using a single JMX connection. Two JSP dashboards are available in this first version: servers and jms.
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Mad for DB - The Migration Advisor for DataBases - analyzes the differences between two database schemas, automatically finds out which changes require individual migration effort and advises migrators which concrete datasets need fixing.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Jwebap is an profiler tool for j2ee application with jdk 1.4 and up.You can use it to monitor method,jdbc,jsp executions etc.And then view in a web console.It can be used not only in test environment but production environment with very low-overhead.
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mda4eclipse is a domain-driven and model-driven development eclipse plugin. Its purpose is to present a way of using different project sites to work together and establish a shared development environment.
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An adaptable, platform-agnostic application incident reporting infrastructure ranging from logging libs and webservice-based reporting to a J2EE logging server to a pluggable connection to issuemanagers.
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Jdptool is a debug and profiler tool which based on JPDA; It provide both swing based and browser based GUI. It has sophisticated debugger without user interfere. It also provide profiler to memory usage and threads with numerous new feature
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j2moose is an eclipse plugin to export java and jsp source code to a format understood by the Moose reengineering environment.
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This project aims at being the spearhead of logging tools. It will integrate with existing logging frameworks and will incorporate unique features to maximize speed and usability.
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