for YAPC Asia Tokyo 2015
Deep Dive into Google Cloud Technology
for YAPC Asia Tokyo 2015
A Look Inside Google’s Data Center Networks
1) Google has been developing their own data center network architectures using merchant silicon switches and centralized network control since 2005 to keep up with increasing bandwidth demands. 2) Their network designs have evolved from Firehose and Watchtower to the current Saturn and Jupiter networks, increasing port speeds from 1/10Gbps to 40/100Gbps and aggregate bandwidth from terabits to pe
Building Software Systems at Google and Lessons Learned
Building Software Systems at Google and Lessons Learned Jeff Dean jeff@google.com Plan for Today • Evolution of various systems at Google –computing hardware –core search systems –infrastructure software • Techniques for building large-scale systems –decomposition into services –design patterns for performance & reliability –Joint work with many, many people • # docs: tens of millions to tens of b
Dremel: Interactive Analysis of Web-Scale Datasets
The document describes Dremel, an interactive analysis system for web-scale datasets. Dremel uses a columnar data storage model and tree-based query serving architecture to enable interactive analysis of trillion record datasets distributed across thousands of nodes. It provides an SQL-like interface and can process queries orders of magnitude faster than traditional MapReduce systems by avoiding
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Google_A_Behind_the_Scenes_Tour_-_Jeff_Dean
Google Cluster Innards
Storage Architecture and Challenges
Think Like a {Vertex, Column, Parallel Collection}