public marks

PUBLIC MARKS with tags google & software

2014

MapTiler - fast maps for the web and mobile. Prepare map tiles for Google Maps, Google Earth KML SuperOverlay

by sbrothier & 1 other
Drop images of maps into MapTiler and with a couple of clicks the software prepares HTML files with viewers based on Google Maps API, Leaflet and OpenLayers. Enjoy the maps on your mobile phone or tablet even while offline.

2012

Managing updates in Google Software Update - Google Help

by sbrothier
Managing updates in Google Software Update Google Software Update is responsible for updating Google applications running on Mac OS X. By default, Google Software Update currently checks for new updates once a day. While this works well for most users, some individuals may desire more control over when updates occur. For these users, Google Software Update offers the ability to change the frequency of update checks or turn off update checks all together.

2011

good coders code, great reuse

by pkrumins
Peteris Krumins' blog about programming, hacking, software reuse, software ideas, computer security, google and technology.

2010

Gruml | Google Reader for Mac OS

by simon_bricolo & 1 other
Gruml allows you to view and manage your feed subscriptions of your Google Reader account on Mac OS X

2009

Google Quick Search Box

by ycc2106
search online local files, applicazion, the performe an action w/ it

2008

BusySync - Sync iCal and Google Calendar - from BusyMac

by Xavier Lacot & 1 other
BusySync lets you share iCal calendars on a LAN and sync iCal with Google Calendar

Google gets serious about the Mac

by jeanruaud
In the "20 percent time" that Google employees have to work on projects of personal interest, it turns out that an increasing number are spending time writing open-source projects for their beloved Macs.

Vdoop - Manage your virtual cluster - Vdoop

by camel
Every day, search companies like Google download terabytes of data from the Internet, store it on clusters of thousands of machines, and process it so that it can be easily searched. To make this possible, these companies need sophisticated distributed file system and parallel programing architectures. Have you ever heard of the Map/Reduce distributed parallel programing paradigm? If you are a computer scientist, you should have, because every time you submit a Google search, you are using Map/Reduce. Despite growing demand from companies like Google, Yahoo, and Microsoft, few computer science majors have even heard of Map/Reduce, let alone graduate well versed in its use. Unfortunately, several barriers exist to integrating Map/Reduce into computer science curricula. Obtaining a large cluster, configuring it, and installing complicated distributed file system and parallel programing software is difficult, time consuming, and expensive. In the past, Google's solution to this problem has been to ship entire clusters pre-configured with Map/Reduce software to select universities. In essence, Vdoop does same thing, with exactly the same software, except for our clusters are virtual, and hence free.

StopBadware.org

by ycc2106 & 4 others
StopBadware.org is a "Neighborhood Watch" campaign aimed at fighting badware. We will seek to provide reliable, objective information about downloadable applications in order to help consumers to make better choices about what they download on to their co

2007

ganeti - Google Code

by camel & 1 other
Ganeti is a virtual server management software tool built on top of Xen virtual machine monitor and other Open Source software. However, Ganeti requires pre-installed virtualization software on your servers in order to function. Once installed, the tool will take over the management part of the virtual instances (Xen DomU), e.g. disk creation management, operating system installation for these instances (in co-operation with OS-specific install scripts), and startup, shutdown, failover between physical systems. It has been designed to facilitate cluster management of virtual servers and to provide fast and simple recovery after physical failures using commodity hardware.

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