Seguridad Mania.com - España y América Latina
Portal sobre tecnologías para la seguridad física
- Destacamos »
- software Anti Blanqueo
REDWOOD CITY, CA -- (Marketwired) -- 04/22/14 -- Sumo Logic, the next generation machine data intelligence company, today announced that Anki, a consumer robotics and artificial intelligence company and creator of racing game Anki DRIVE, has implemented Sumo Logic to collect the event data of all Anki DRIVE actions. Anki DRIVE uses robotics and artificial intelligence to bring a video game experience into the real world.
Since implementation, players have raced the equivalent of the Monaco Grand Prix in simulations nearly 540,000 times, which has generated massive amounts of log data. The Sumo Logic service, with its proactive analytics, successfully harnesses these logs to enhance the Anki DRIVE back-end infrastructure and improves the overall availability of the system.
Sumo Logic provides the development team with real-time feedback on every event that goes on during an Anki DRIVE game -- statistics about the game, players in the game and more. Issues can now be discovered nearly instantaneously, compared to days prior to Sumo Logic, giving Anki much more agility to update code as needed and manage the analytics engine for the product team.
"We want Anki racers to have the best, most fun experience when they're playing Anki DRIVE," said Ben Whaley, director of infrastructure at Anki. "Sumo Logic help us achieve that, by automatically and instantly indexing a massive volume of data in real-time, for issues related to our analytics stack. It not only helps us ensure a resilient back-end service, it means we can deliver the best experience to our fans."
Sumo Logic indexes data from Apache and Nginx web servers, custom applications, and syslog, allowing millions of rows of data to be searched and queried within seconds.
"Machine data intelligence gives developers insights into their code that were never possible without onerous testing," said Vance Loiselle, president and CEO of Sumo Logic. "Our recent experience with Anki demonstrates the benefits of machine-learning based analytics, which can have quick, substantive and easily measurable results for developers while producing a better experience for customers."
Learn more about Sumo Logic
About Sumo Logic
Sumo Logic is the next-generation machine data intelligence company that leverages Big Data for real-time IT insights. The company's cloud-based service provides customers like Netflix, McGraw-Hill, GoGo Inflight and Medallia with real-time interactive analytics at unprecedented petabyte scale. The Sumo Logic service is powered by patent-pending Elastic Log Processing and LogReduce technologies, and transforms machine data into actionable insights for IT operations, application management, and security and compliance teams. Unlike expensive and complex premise-based solutions, the Sumo Logic service has a low TCO, can be deployed instantly, scales elastically and requires zero maintenance. The company is based in Silicon Valley and is backed by Accel Partners, Greylock Partners and Sutter Hill Ventures. For more information, visit www.sumologic.com.
Connect with Sumo Logic
Add to Digg Bookmark with del.icio.us Add to Newsvine
Media Contact
Caitlin Scott
Trainer Communications
sumologic@trainercomm.com
(415) 800-5364
Publicamos interesante Informe de más de 48 págs y varios videos demostrativos sobre los posibles ataques a los robots de montaje de las fábricas. ... Leer más ►
Publicado el 22-Jun-2017 • 10.48hs
Publicado el 20-Jun-2017 • 20.22hs
Dirigido tanto a los principiantes, como a los expertos en seguridad informática y sistemas de control industrial (ICS), este libro ayudará a los lectores a comprender mejor la protección de normas de control interno de las amenazas electrónicas. ... Leer más ►
Publicado el 3-Ene-2012 • 20.16hs
Publicado el 25-Set-2009 • 01.26hs
Publicado el 17-Dic-2008 • 08.32hs
Publicado el 11-Oct-2016 • 12.48hs
Publicado el 15-Mar-2016 • 11.59hs
Publicado el 2-Feb-2017 • 11.38hs
Publicado el 20-Jun-2014 • 17.17hs
Publicado el 31-May-2011 • 05.13hs
Publicado el 25-Set-2008 • 17.54hs
Publicado el 1-Set-2016 • 16.11hs
Publicado el 31-Ago-2016 • 18.53hs
Publicado el 19-Ene-2017 • 15.47hs
Publicado el 4-Jul-2016 • 18.51hs