Cloud Crowd Book 50 Companies That Transformed Their Businesses With The Cloud
Building Great Companies on the Cloud
-
Upload
roman-stanek -
Category
Technology
-
view
10.800 -
download
0
description
Transcript of Building Great Companies on the Cloud
Roman StanekFounder, CEO Good Data
Building Great Companies
on the Cloud
Promise
This presentation contains no “every
cloud has silver lining” joke:-|
Who am I
Roman - "Stan" at Starbuck's
Technologist
Entrepreneur (NetBeans, Systinet)
Blogger (roman.stanek.org)
Czech
What is happening to computing today is a revolution, the biggest upheaval since the invention of the PCin the 1970s.
Nicholas Carr
"It's stupidity. It's worse than stupidity: it's a marketing hype campaign
Richard StallmanFounder, Free Software
Foundation
But we all struggle with the cloud definition...
Most of all the graphics artists...
Definition:Clouds are hardware-based services offering compute, network and storage capacity where:
Hardware management is highly abstracted from the buyer
Buyers incur infrastructure costs as variable OPEX
Infrastructure capacity is highly elastic (up or down)
McKinsey & Company
No, you cannot install cloud on your notebook.
Security & control
By a 5‐to‐1 ratio, companies trust internal
IT systems over cloud‐based technologies due to
fear about security threats and loss of control
of data and systems.
Avanade Inc.
They are right...Streamload: On June 15, 2007 system administrator's script accidentally misidentified and deleted "good data" along with the "dead data" of some 3.5 million former user accounts and files.
Or are they?
10 U.S. airports with the highest weekly frequency of laptop loss
LAX Los Angeles
MIA Miami
JFK New York
ORD Chicago
EWR Newark
0 300 600 900 1200
750
825
900
1,000
1,200
Airport Insecurity: The Case of Missing & Lost Laptops, Ponemon Institute LLC
This get scary...Did not protect sensitive information contained on laptop
Worry about losing their laptop
Laptop containsconfidential company information
Data on laptop is not backed up
0 0.175 0.35 0.525 0.7
42%
53%
57%
65%
Airport Insecurity: The Case of Missing & Lost Laptops, Ponemon Institute LLC
Most likely causes of data breach?
Negligent insiders
Outsourced data
Malicious insiders
Social engineering
Hackers
0 0.2 0.4 0.6 0.8
1%
2%
26%
42%
75%
2008 Study on the Uncertainty of Data Breach Detection,Ponemon Institute LLC
IT environment where data breaches occur
Off-network devices
Networks
Mainframes
Paper files
Backups
0 0.15 0.3 0.45 0.6
18%
39%
41%
50%
58%
2008 Study on the Uncertainty of Data Breach Detection,Ponemon Institute LLC
Ability to detect the loss or theft of confidential
information
Very confident ConfidentSomehowconfident Not confident Unsure
18%
31%
25%
16%
10%
2008 Study on the Uncertainty of Data Breach Detection,Ponemon Institute LLC
Amazon Security/SLAs
Multiple redundant sites
SAS70
Amazon EC2 SLA - 99.95%4 hrs, 22 min/year
Amazon S3 SLA - 99.9%
Control: Plenty of startups solving this problem already
Cloud or No Cloud?
For SMBs, data is safer in the cloud
Secure, auditable, fully compliant
Pick your cloud provider carefully
Technology
Acronyms don’t matter:
Caches, bloom filters, bitmap indexes, column stores,
distributed key/value stores and document databases
MapReduce law:
If It Can Be Done in Parallel, It Will Be
ACID -> BASE
Traditional approaches don’t scaleBASE - basically available, soft state, eventually consistent:
BigTable, SimpleDB, Cassandra, Dynamo
GoodData: Innovate vs. leverage?
Processing Power Cloud makes ROLAP approach possible
Elastic Scale IT builds for peak load, we don’t have to
Multi-TenancySingle instance across 1000s of customers
StatelessMassive load balancing (shared nothing)
TechCrunch Effect
Public cloud classes
AWS MS Azure Google AE
CPU
Storage
Network
x86 .Net Predefined framework
EBS, S3, SimpleDB
SQL, Azure store
BigTable
Declarative Automatic Fixed
Cloud APIs
True SOALoosely coupled - REST, AtomEncapsulate cloud services:
Control APIs
Data APIs
Application Functionality APIs
Open Cloud Manifesto
Prevent vendor lock-in“or”
Limit innovation
Cloud economics
If you want to change the game, change the economics of how the game is played
Alan M. Webber
Startups in the cloudInfrastructure labor savings
No CAPEX: Less equity goes to VCs
Unpredictable demand (up and down)
Succeed (or fail) faster
$500k to start technology company
Big bets aren't as big anymore
Easier for startups to adapt to shifts
Level playing field for startups
IT vs. Clouds
Losing their monopoly on the infrastructureIt’s all about economics
1 email message
$0.0001
Fixed pricing
Most widely used pricing
No supply/demand
Simple, predictable
AWS, Google App Engine:
CPU, Storage, network traffic
Reserved instance price (AWS):
“I have 10 instances running 24x7”
Spot price/future price:
“I want 1,000 instances at the end of the quarter”
Off-peak pricing:
“Run my MapReduce app 10 hours every day”
Variable pricing
Cloud providers
Economies of scale
Utilization and efficiency
SLAs
Question: Long-term viability?
Private cloudsViolate #2 of our cloud definition:
Buyers incur infrastructure costs as CAPEX
Virtualization on top of traditional enterprise IT stack
Encapsulation of IT infrastructure
Scale?
Economies of scale
Technology Medium-sized DC Very Large DC Ratio
Network
Storage
Administration
$95 per Mbit/sec/month
$13 per Mbit/sec/month 7.1
$2.20 per GByte / month
$0.40 per GByte / month 5.7
140 Servers / Administrator
>1000 Servers / Administrator 7.1
HAMILTON, J. Internet-Scale Service Efficiency. In Large-Scale Distributed Systems and Middleware (LADIS) Workshop (September 2008)
5 Public clouds+500 Private clouds
505 Clouds in 2015
Business impact
Winners
Google, Amazon.com
Cisco
SaaS vendors
Losers
Big server vendors
(HP, Sun, Dell)
Monolithic app providers
Microsoft
Real winners
Innovation
SMBs, Startups
The little guy wins
Good Data: On Demand Business Intelligence
Cloud + Web 2.0 metaphors
Flickr for Data
Simplicity & Collaboration
Company status30 employees
Development in Prague
Sales & marketing in San Francisco
Funded by industry luminaries
www.gooddata.com
Thank you!