Barak Regev - Google Cloud Platform
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This document provides an overview of Google Cloud Platform. It discusses Google's history with infrastructure technologies like GFS, MapReduce, BigTable, Dremel, and Colossus, which were developed between 2002-2012. It notes that Google Cloud Platform exposes Google's systems and services to run external code. The document highlights some of Google's infrastructure capabilities like processing 4 billion hours of video per month and serving 425 million Gmail users. It promotes Google Cloud Platform as a way to power applications, analytics, and services.
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Barak Regev - Google Cloud Platform
- 1. Cloud Platform - Unboxing Google Barak Regev Google Cloud Platform
- 2. Google is Cloud 2002 2004 2006 2008 2010 2012 GFS MapReduce BigTable Dremel Colossus NoSQL Google BigQuery Google Cloud Storage
- 3. Google is Cloud 2002 2004 2006 2008 2010 2012 GFS MapReduce BigTable Dremel Colossus NoSQL Google BigQuery Google Cloud Storage Google Cloud Platform
- 4. How we do it - Google Infrastructure 4 billion hours of video per month 425 million Gmail users 100,000,000 GB web Index 0.25 secs to search results
- 5. Big and Fast Low Latency State-of-the-art Technology Closest proximity data-center serving Infrastructure built for scale and reach Rapid Response Unique Server Architecture Security patches deployed in hours Distribution across large # of machines Instant Updates State-of-the-art technology w/o World-Class Efficiency upgrading Compared to average data-centers
- 6. Google is Cloud Google is Cloud Google Cloud Platform is exposing our systems and services to run your code If it’s not under your desk – it’s in the cloud
- 7. Google Cloud Platform Power the world's applications, analytics, and services DEVELOPER FRAMEWORK Tools, Administration, Billing App Engine Compute Engine Services Storage & Communication Utilities Analytics URLFetch Endpoints BigQuery Cloud Storage PageSpeed Translate Cloud Messaging CloudSQL MapReduce Plus Prediction Email for Android NoSQL Drive Search Geo Channels XMPP Datastore
- 8. Why Google? 7.5B hits/day Google App Engine in a month: 500,000 active applications 2 trillion datastore operations App Engine Launch Batch write/read Java Task Queues Blobstore Multitenancy Hi-Replication Python Https DB Import XMPP Appstats Instance Console Datastore Status- cron incoming email cursors Always On Channel API Datastore Dashboard Mapper hi-perf imag Files API Memcache 10 min tasks Remote API logs export Prosp Search
- 9. Thank you cloud.google.com