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Terrence Ryan
July 30, 2015
Technology
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110
Scale the Google Way
A discussion of issues with Google scaling technologies
Terrence Ryan
July 30, 2015
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Transcript
@tpryan Scale the Google Way Terry Ryan Developer Advocate
@tpryan Who are you?
None
None
None
None
None
None
None
@tpryan First Cluster History
@tpryan First Cluster •Every machine had a role History
@tpryan First Cluster •Every machine had a role •Every machine
had a name History
@tpryan First Rack History
@tpryan First Rack •Machines belong to groups History
@tpryan First Rack •Machines belong to groups •Slack capacity goes
to waste History
November 1998 December 1998 January 1999 February 1999 March 1999
April 1999
November 1998 December 1998 January 1999 February 1999 March 1999
April 1999 December 1998 50,000
November 1998 December 1998 January 1999 February 1999 March 1999
April 1999 December 1998 50,000 January 1999 150,000
November 1998 December 1998 January 1999 February 1999 March 1999
April 1999 December 1998 50,000 January 1999 150,000 April 1999 500,000
@tpryan Today’s Numbers History
@tpryan Today’s Numbers •Over 3 Billion searches a day History
@tpryan Today’s Numbers •Over 3 Billion searches a day •On
a universe of over 60 Trillion urls. History
@tpryan Today’s Numbers •Over 3 Billion searches a day •On
a universe of over 60 Trillion urls. •We index over 20 billion a day History
@tpryan Today’s Numbers •Over 3 Billion searches a day •On
a universe of over 60 Trillion urls. •We index over 20 billion a day •Average time to deliver under 250ms History
@tpryan Handling this growth took fundamental changes
Networking
70 POP’s 33 Countries B4 WAN
Jupiter Superblock
Jupiter Superblock • 1 Petabit/sec
Jupiter Superblock • 1 Petabit/sec • 100,000 Servers at 10GB/s
Jupiter Superblock • 1 Petabit/sec • 100,000 Servers at 10GB/s
• 10 Libraries of Congress a second
Storage
Colossus Datacenter wide storage
Processing
Productionized Containers
Productionized Containers • Developed as only practical way to manage
Google-scale compute
Productionized Containers • Developed as only practical way to manage
Google-scale compute • Everything at Google runs in a container
Productionized Containers • Developed as only practical way to manage
Google-scale compute • Everything at Google runs in a container • We launch over 2 Billion containers per week.
@tpryan What does this mean for you?
@tpryan
@tpryan Big Table
@tpryan Big Table
@tpryan Big Table MapReduce
@tpryan Big Table MapReduce
@tpryan Big Table Dremel MapReduce
@tpryan Big Table Dremel MapReduce
@tpryan Big Table Borg Dremel MapReduce
@tpryan Big Table Borg Dremel MapReduce
@tpryan
@tpryan Google Cloud Platform
@tpryan Google Cloud Platform Compute
@tpryan Google Cloud Platform Compute Storage
@tpryan Google Cloud Platform Compute Connectivity Storage
@tpryan Google Cloud Platform Compute Connectivity Big Data Storage
@tpryan Google Cloud Platform Compute Connectivity Developer Tools Mobile Big
Data Storage Management
@tpryan Conclusions
None
None
Your App Here
@tpryan Thank You! terrenceryan.com @tpryan This preso: http://bit.ly/tpryan-scale This work
is licensed under a Creative Commons Attribution 2.0 Generic License.