Cloud is still too hard
Highlights from last year...
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May 2013
Google Compute
Engine in Preview
PHP for App Engine
in Preview
The Last Year in Compute
November 2013
1 Million RPS on Compute
Engine Load Balancing
August 2013
Layer 3 Load
Balancing
December 2013
Compute Engine GA
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The Last Year in Storage
May 2013
Cloud Datastore
August 2013
Encryption at Rest
for Google Cloud
Storage
June 2013
Offline Disk
Import
October 2013
Native
Connections
for Cloud SQL
December 2013
Persistent Disks
February 2014
Cloud SQL GA
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And a whole lot more...
March 2013
Big JOIN in
BigQuery
February 2014
HIPAA Support
July 2013
Dedicated
Memcache
September 2013
Major BigQuery
Updates
November 2013
Cloud Endpoints GA
Dedicated Memcache GA
October 2013
Mobile
Backend
Starter
for iOS
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Demo
Live Migration in Google
Compute Engine
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Source: Google Internal Data
4.75 Million
active applications
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28 Billion
requests per day on App Engine
App Engine
Wikipedia
Popular Site
Average Server
86M
500M
2.6B
28B
Source: Google Internal Data
Source: Google Internal Data
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6.3 Trillion
Cloud Datastore operations per month
Source: Google Internal Data
Source: Google Internal Data
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“Google was the fastest overall.
The three Google instances
completed the benchmarks in a
total of 575 seconds, compared
with 719 seconds for Amazon
and 834 seconds for Windows
Azure. A Google machine had the
fastest time in 13 of the 14
tests…
Google was also the cheapest
overall.”
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Great Customers
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No content
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Bobby Murphy
CTO and Co-Founder, Snapchat
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Bobby Murphy
CTO and Co-Founder, Snapchat
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Cloud is still too hard
Cloud is still too hard
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Pricing changes
Pricing is Complex
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Pricing changes
Pricing is Complex
Current clouds force design trade-offs
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Prices are falling
• Public cloud prices
have dropped 6-8%
annually
Source: Google Internal Data
2014
2006
Public Cloud Prices
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But prices are not falling fast enough
• Hardware costs have
dropped 20-30%
annually
Hardware Cost
Public Cloud Prices
• Public cloud prices
have dropped 6-8%
annually
Source: Google Internal Data
2014
2006
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Pricing changes
On Demand Price Reductions
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Pricing changes
On Demand Price Reductions
Sustained-Use Discounts
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Cloud is still too hard
On demand price reductions
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Google Compute Engine
All Regions | All Sizes | All Classes
32% price drop
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Google Cloud Storage
68% price drop
$.026 per GB | $.02 per GB DRA
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Google BigQuery
85% price drop
$5 per TB for on demand usage
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● Introducing new model
with assured and
predictable capacity
● Easily purchase capacity
from 5 to 50GB per
second
BigQuery
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Current Industry Pricing
Google BigQuery
$80,000+
Source: Google Internal Data
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Current Industry Pricing
New Monthly Pricing
Google BigQuery
$20,000
$80,000+
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Google BigQuery
than the alternatives
75% less expensive
Source: Google Internal Data
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To recap...
32%
68%
85%
price drop on Cloud Storage
price drop on BigQuery
price drop on Compute Engine
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The original promise of the cloud:
low cost, on-demand computing with
no need to provision or reserve
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$0
$500
$1000
$1500
$2000
$2500
$3000
Total cost over 3 years
Much more complicated
0% 100%
20% 40% 60% 80%
% of 3-year period the instance is running
Price
On Demand
Pricing
Reservation
Pricing
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You should get the best price with...
No Upfront Payments
No Lock-in
No Complexity
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Announcing
Sustained-Use Discounts
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Sustained-use discounts
$0.11
$0.10
$0.09
$0.08
$0.07
$0.06
$0.05
$0.04
$0.03
100%
0% 20% 40% 60% 80%
Previous
On Demand
New
On Demand
Sustained Use
Net Price Per Hour
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100%
0% 20% 40% 60% 80%
Sustained Use
Previous
On Demand
New
On Demand
$0.11
$0.10
$0.09
$0.08
$0.07
$0.06
$0.05
$0.04
$0.03
Sustained-use discounts
Net Price Per Hour
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Sustained-Use Pricing
53% price drop
on Compute Engine instances with 24x7 use
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To recap...
price drop on Cloud Storage
price drop on BigQuery
price drop on Compute Engine
30-53%
68%
85%
Automatic discounts for sustained usage
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Help realize
the original
promise of
cloud computing
Predictable
pricing
Low on-demand
pricing
Pricing Principles
Simplified
pricing
Moore’s Law
pricing
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Cloud is still too hard
Cloud is still too hard
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Cloud is still too hard
Developers often make trade offs to
work around the weaknesses and
limitations of today’s public clouds
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Cloud is still too hard
Time to
Market
or
Scalability
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Cloud is still too hard
Time to
Market
or
Scalability
Flexibility
or
Automatic
Management
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Cloud is still too hard
Big Data
or
Real Time
Time to
Market
or
Scalability
Flexibility
or
Automatic
Management
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Cloud is still too hard
Big Data
or
Real time
Time to
Market
or
Scalability
Flexibility
or
Automatic
Management
We are changing or to and
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Greg DeMichillie
Director of Product Management
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Announcing
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Announcing
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Announcing
Cloud DNS
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Cloud is still too hard
Big Data
or
Real Time
Time to
Market
or
Scalability
Flexibility
or
Automatic
Management
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Developer Productivity
Time to
Market
Scale
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Developer Productivity
Time to
Market
Scale
and
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Developer Productivity
• Use the tools you know and love
•
• Fast, reliable deployments
•
• Isolate and fix issues in production
Developer Productivity
Time to
Market
Scale
and
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Demo
Zero to 60
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IaaS vs PaaS
Flexibility Management
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and
IaaS vs PaaS
Flexibility Management
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Announcing
Managed Virtual Machines
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Managed VMs
• Flexibility of Compute Engine
with productivity of App Engine
• Provides best of both worlds
Flexibility Management
and
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Demo
Managed VMs
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$ gcloud app update .
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Managed VMs: under the hood
OS
OS
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Managed VMs: under the hood
OS
OS
Monitoring / Health Checking
Task Queues
Memcache
Cloud Datastore
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Managed VMs: under the hood
Web Server
Application Server
JVM
Web Server
Application Server
JVM
OS
OS
Monitoring / Health Checking
Task Queues
Memcache
Cloud Datastore
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Managed VMs: under the hood
Web Server
Application Server
JVM
3rd Party
Your Code
Web Server
Application Server
JVM
3rd Party
Your Code
OS
OS
Load Balancer
Monitoring / Health Checking
Task Queues
Memcache
Cloud Datastore
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Managed VMs: under the hood
Web Server
Application Server
JVM
3rd Party
Your Code
Web Server
Application Server
JVM
3rd Party
Your Code
OS
OS
Load Balancer
Monitoring / Health Checking
Task Queues
Memcache
Cloud Datastore
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Demo
Managed VMs
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Big Data
Big Data Real Time
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and
Big Data Real Time
BigQuery
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Announcing
BigQuery Streaming
at 100k Rows Per Second
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and
• Near real-time analysis
• High fidelity, low latency
• Focus on results, not sharding
and transforming
Big Data
Big Data Real Time
• Build and test in the cloud
• AppEngine with Managed VMs
• BigQuery Streaming @ 100k RPS
• Cloud DNS
• Windows Server, SuSE, RHEL support
Launches
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Moore’s Law in the cloud
price drop on Cloud Storage
price drop on BigQuery
price drop on Compute Engine
30-53%
68%
85%
Automatic discounts for sustained usage
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Everything we’re doing is about helping you,
the developer, do what you love
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Cloud Platform Developer Roadshow
We’re visiting 27 cities around the world beginning April 7
cloud.google.com/roadshow