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Fully Managed MySQL, PostgreSQL, and SQL Server
Automatic backups, patching, replication, and failover. Focus on your app, not your database.
Cloud SQL handles your database ops end to end, so you can focus on your app.
WAC is a java-written software that checks your website availability. If your website goes down, you will know. Get it, edit the properties file and keep it running.
Tools for Analyzing and Interpreting NetFlow Data - Using NetFlow data to analyze BGP peering and generate "what if" scenarios to determine which future peers will provide the best performance.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
This is a program for my sister that will run on the command line and scrape ISBNs off a website, cross reference w/ amazon, and make a CSV out of the data.
SALMON or Servers Alive Monitoring System is a data scraper and mimic panel for the Servers Alive system. It uses PHP and MySQL to scrape data from a Servers Alive HTML page and dump it into a database.
Real-time statistics WordPress plugin: you can browse, filter, export detailed data about visitors, spiders, search terms and engines; keep track of top pages, most used browsers and OS as well as generating charts for filtered subsets of data.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB 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.
This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.
The objective of this project is create a control panel that should be able to monitorize and analyze a web access, checking softwares versions and, for pentest purposes, redirect connections and explore possibles browsers vulnerability at the client.
A python based adaptive network analyzer. The aim of the project is to identify illegitimate uses of bandwidth in a network. Uses tshark for network data gathering.
A Small Perl script that monitors possibly hostile sshd login attempts at log level. Every suspicious host will be added to the blacklist and if those attempts exceed a given interval, actions to block that particular IP-address can be taken.
A tool suite to analyse protocol streams and whose flow characteristic. On the other side, the tool suite can be used to gather information about the network infrastructure and detect bottlenecks.
Dynamic-Admin-Apps is a Collection of several small dynamic administrativ Webapplications written in Java to offer some deluxe functions for Webcontainer-Administrators or Developers.
A visual amateur radio logging application written in PHP and MySQL, that allows amateur radio stations to manage their QSO logbook either by direct entry in to a webpage, or bulk upload the ham radio deluxe database, displaying results in google maps
Real-time stats and ranking for Half-Life2. Hlstats uses a perl demon to parse the logs from hl2. The data is stored in a mysql Database and has a php fronted.
This is a Firewall and IDS front-end, the main purpose is simplify configuration of Iptables and Fwsnort and Psad management. The Firewall provides an experimental feature to decide in real-time about each outgoing connection.
A simple yet useful tool for browsing instant messenger log files (like Trillian, ICQ or Gaim) and also HTML server log files.
It has some interesting search modes and provides functionality that most messengers don't.
A tool to extract the information in any log file into a database. It has no inherent knowledge of particular log formats but by using inbuilt rules and asking a few simple questions should be able to parse any type of text log intelligently.