Search Results for "mysql-connector-java"
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Showing 5 open source projects for "mysql-connector-java"
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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1
Web based soldat statistics program for Soldat. Log parser is written in Python (hence Pie Stats); web panel is written in PHP. Stats are stored in a MySQL database. GPL Licensed.
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2
This is a kicks and bans search engine that works with the Battlefield Server Manager from BBO. It is written in PHP/MySQL and has been tested in both Linux and Windows environments. It parses the adminlog.csv file locally or remotely via FTP.
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3
This is a Real-Time Stats signature for use with the selectBF log parser. It's written in PHP/MySQL and tested in both Linux and Windows environments. The script pulls data from selectBF and using the GD Library,dynamically outputs the stats to images.
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4
The tribes console log parser is a perl script that will parse starsiege tribes and tribes 2 console logs. The parsed data is stored in a mysql database, and can be retrieved over the web with a supplied php file.
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Cloud-based observability solution that helps businesses track and manage workload and performance on a unified dashboard.Monitor everything you run in your cloud without compromising on cost, granularity, or scale. groundcover is a full stack cloud-native APM platform designed to make observability effortless so that you can focus on building world-class products. By leveraging our proprietary sensor, groundcover unlocks unprecedented granularity on all your applications, eliminating the need for costly code changes and development cycles to ensure monitoring continuity.
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Qmail log parser and vizualization. The qmail logs are parsed and put in a MySQL database accesible from a web interface. The web interface offers also various statistics build on the parsed logs.
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