Search Results for "pl/sql"
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Showing 8 open source projects for "pl/sql"
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Dashboard for Hyperic Alerts
Tools to visualize alerts from Hyperic
Tools created with Adobe Flex to display alerts from Hyperic in a Dashboard on a big TV screen. -
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Javatools that any Java project will find useful. Highlights are a Rogue Wave DBTools.h++ lookalike that makes RDBMS access easy. It includes an SQL parser and generator. An implementation of Cron and Crontab in java. File logging and assert classes.
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DAD is a Windows event log and syslog management tool that allows you to aggregate logs from hundreds to thousands of systems in real time. DAD requires no agents on the servers or workstations. Correlation and analysis is driven through a web front end.
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LOG4PLSQL is a PLSQL framework for logging in all PLSQL code this project was born from the log4J spirit (and use it). You have the possibility to log apart from transaction and use all LOG4J feature.
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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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An open source data version repository model based on true INSERT only logic. Contains high performance support for data versioning and history. Enables point-in-time query and CDC sourcing including mapping each change to a transaction.
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log4jdbc is a JDBC driver that can log SQL and/or JDBC calls (and optionally SQL timing information) for other jdbc drivers using the Simple Logging Facade For Java (SLF4J) logging system.
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The High Interaction Honeypot Analysis Toolkit (HIHAT) allows to transform arbitrary PHP applications into a web-based Honeypot. A semi-automatic user interface supports the analysis process, scans for attacks etc.
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Have you ever wondered which database indexes you should create for your JDBC-based application ? This Swing-based SQL profiler tries to offer a tool to monitor which tables and columns are accessed the most in SQL queries to recommend index creation
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