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Introduction to Cloud Computing with
Amazon Web Services
Steve Shirkey
Solutions Architect ASEAN
Amazon Web Services
Steve Shirkey
Solutions Architect ASEAN
Amazon Web Services
« Invention requires two
things: the ability to try a
lot of experiments, and
not having to live with
the collateral damage of
failed experiments » Andy Jassy
CEO, Amazon Web Services
A broad and deep platform that helps customers build
sophisticated, resilient and scalable applications
Web Services
Core Services Compute Storage Database Networking
Infrastructure RegionsAvailability Zones Edge Locations
Platform
Services
Analytics
& AI
IoT Gaming Mobile
Desktop &
App Streaming
Business
Productivity
Developer
Tools
Business
Intelligence
Access
Control
Auditing Monitoring EncryptionSecurity
Applications
A
P
I
&
S
D
K
s
On-Demand Model: Pay as you go
Analogy: Electricity services • Pay only for what you use
• Virtually unlimited capacity
(no capacity planning)
• Get charged per compute
hour, GB of storage used,
transactions etc.
• Turn it off anytime (and stop
paying for it)
Why are companies flocking to the cloud so quickly?
Move from capital expense
to variable expense
$
Why Are Companies Flocking To The Cloud So Quickly?
No Upfront Cost
Align Revenue Model with Infrastructure Cost
Revenue
Infra Cost
Margin Rate
Time
$
Move from capital expense
to variable expense
Lower variable expense than they
could achieve on their own
$
Why Are Companies Flocking To The Cloud So Quickly?
AWS Pricing Philosophy
Ecosystem
Global Footprint
New Features
New Services
More AWS
Usage
More
Infrastructure
Reduced
Prices
More
CustomersInfrastructure
Innovation
59 price
reductions
since 2006
Lower
Infrastructure
Costs
Economies
of Scale
Move from capital expense
to variable expense
Lower variable expense than they
could achieve on their own
Stop guessing
capacity
$
Why Are Companies Flocking To The Cloud So Quickly?
Auto-Scalable Infrastructure
• AWS allows auto-scaling
• Services and virtual servers
dynamically provisioned
based on demand
• Fully managed services for
specific use cases charged
only per consumption Load
Capacity
Amazon Elastic Compute
Cloud Instance
500,000 writes / second to their managed
AWS database
200 additional servers during Superbowl
0 additional servers right after
Move from capital expense
to variable expense
Lower variable expense than they
could achieve on their own
Stop guessing
capacity
Increased
agility
$
Why Are Companies Flocking To The Cloud So Quickly?
AWS’ History of Innovation
2011
Amazon
ElastiCache
Amazon SES
CloudFormation
Direct
Connect
AWS Elastic
Beanstalk
GovCloud
2013
Amazon
CloudTrail
Amazon
CloudHSM
Amazon
WorkSpaces
Amazon
Kinesis
Amazon Elastic
Transcoder
Amazon
AppStream
AWS OpsWorks
2015
Amazon EFS
Amazon API Gateway
Amazon WorkMail
Amazon Machine
Learning
AWS Device Farm
AWS WAF
Amazon
Elasticsearch Service
Amazon QuickSight
AWS Snowball
AWS Kinesis Firehose
AWS RDS for MariaDB
Amazon Inspector
AWS Database Migration
Service
AWS IoT
Amazon EC2 Container
Registry
AWS Kinesis Analytics
AWS Mobile Hub
Amazon CloudWatch
2009
Amazon RDS
Amazon VPC
AWS Auto Scaling
AWS Elastic Load
Balancing
AWS EMR
Amazon FPS
2010
Amazon SNS
AWS Identity
& Access
Management
Amazon
Route 53
AWS Import/Export
2012
Amazon SWF
AWS Redshift
Amazon Glacier
Dynamo DB
Amazon
CloudSearch
Storage
Gateway
AWS Data
Pipeline
Trusted Advisor
2014
AWS KMS
Amazon Config
Amazon Cognito
Amazon Mobile
Analytics
Amazon EC2
Container Service
RDS for Aurora
Amazon Lambda
Amazon WorkDocs
Directory Service
AWS CodeCommit
AWS CodePipeline
AWS Service Catalog
AWS CodeDeploy
CloudWatch Logs
2016
AWS Organizations
Amazon Quicksight
AWS step functions
Amazon Lex
Amazon Polly
Amazon Rekognition
AWS Greengrass
Amazon EC2 elastic GPU
Amazon EC2 FPGA (F1)
Amazon EC2 P2
AWS Batch
Amazon Lightsail
Lambda@Edge
Blox
Aurora with PostgreSQL
compability
AWS codeBuild
AWS X-ray
AWS Snowball Edge
Amazon Pinpoint
AWS Shield
Cloudwatch Events
AWS Glue
Amazon Pinpoint
48 61 82
159
280
516
722
1,017
New Services and Major New
Feature Announcements
Move from capital expense
to variable expense
Lower variable expense than they
could achieve on their own
Stop guessing
capacity
Increased
agility
Remove undifferentiated
heavy lifting
$
Why Are Companies Flocking To The Cloud So Quickly?
Enterprises Can’t Afford to be Slow
Add New Dev Environment
Add New Prod Environment
Add New Environment in Japan
Add 1,000 Servers
Remove 1,000 Servers
Deploy 1 PB Data Warehouse
Shut down 1 PB Data Warehouse
Infrastructure in Minutes!Infrastructure in Weeks?
Move from capital expense
to variable expense
Lower variable expense than they
could achieve on their own
Stop guessing
capacity
Increased
agility
Remove undifferentiated
heavy lifting
Go global in
minutes
$
Why Are Companies Flocking To The Cloud So Quickly?
16 Regions
42 Availability Zones
70 Edge Locations
AWS Global Infrastructure
Millions of monthly active
customers across the world
Global Enterprise Customers
General Electric
Johnson &
Johnson Merck Nordstrom
“There is no public cloud infrastructure
provider that has more robust enterprise
capabilities.”
Marc Benioff, Chairman & CEO, Salesforce
”
“
Capital One Will Reduce Datacenter Footprint from 8 to 3 by 2018
Capital One is one of the largest banks in the US and offers credit
cards, checking and savings accounts, auto loans, rewards, and
online banking services for consumers and businesses.
The financial service industry attracts
some of the worst cyber criminals.
We work closely with AWS to develop a
security model that we believe enables us
to operate more securely in the public
cloud than we can in our own data
centers.
Rob Alexander
CIO, Capital One
”
“ • Capital One recognized that its customers are
adopting mobile and digital platforms rapidly
• It is using AWS to develop, test, build, and run its
most critical workloads, including its new flagship
mobile-banking application
• As part of this strategy, Capital One looks to reduce
its datacenter footprint from eight to three by 2018
• Capital One selected AWS for:
o Its security model and pace of innovation
o Elasticity to handle purchasing demands at
peak times and high availability
”
“
MLBAM Uses AWS for Big Data Analysis Behind Statcast Product
• Sought a platform capable of scaling up and down
quickly to handle data on game plays
• Chose AWS to ingest, analyze, and store 17+
petabytes of baseball data per season
• Takes less than 12 seconds to capture, analyze, and
deliver data to broadcasters for on-air analysis
• Scales to handle up to 13 games per day, or just one
or two daily, and shuts down in off season
• Helps MLBAM deliver new data in new ways to attract
more fans
By using AWS to power Statcast…
we’re ensuring that our sport is
relevant, important, and the center of
life for the next generation of fans.
Joe Inzerillo
Executive Vice President and CTO
MLB Advanced Media
”
“
MLBAM is the interactive media and Internet company
of Major League Baseball.
”
“
Netflix Delivers Billions of Hours of Content per Month Using AWS.
Netflix is one of the world’s leading Internet television
network with over 57 million members in nearly 50
countries.
Our success with AWS can be
attributed to the scalability,
elasticity, and global availability of
AWS services.
Eva Tse
Director, Big Data Platform , Netflix
”
“ • Needed flexible IT infrastructure to experiment,
analyze, and grow its business worldwide.
• Using AWS to measure its users’ streaming
experiences through its analytics platform.
• Reports a reduction from weeks to seconds in testing
time for new features.
• Netflix operates a 10 PB data ‘warehouse’ on Amazon
S3 comprised of hundreds of millions of objects.
• Designed to deliver billions of hours of content
monthly using tens of thousands of instances across
three regions.
Hospitality Trading Insurance Grocery
This is something “born in the cloud”
companies have already discovered.
Devices
Disruption is much easier today
What are some of the use case customers are
using AWS for?
Customer Facing Applications
External Apps
on AWS
Scalability and Elasticity
Auto-Scaling infrastructure to required
capacity and match spending to
actual utilization
High Availability
Application deployments that span
across multiple facilities with
adequate load balancing
Global Reach
Highly available global services on
edge locations across the world
Maintainability
Fully managed service portfolio for
most common application components
DNS CDN Load B. Load B.Front App Backend Database
Storage
”
“
Adroll Uses AWS to Grow by More Than 15,000% in a Year
AdRoll, an online advertising platform, serves 50
billion impressions a day worldwide with its
global retargeting platforms.
We spend more on snacks
than we do on Amazon
DynamoDB.
• Needed high-performance, flexible platform to swiftly
sync data for worldwide audience
• Processes 50 TB of data a day
• Serves 50 billion impressions a day
• Stores 1.5 PB of data
• Worldwide deployment minimizes latency
Valentino Volonghi
CTO, Adroll
”
“
Mobile Applications
Identity & Sync
Analytics
Notifications
Data
Logic
Marketing
Phone
Tablet
Innovation & Agility
0-tier architectures allow simple and
quick iterations
High Availability
Designed and build for scale and
availability across multiple facilities
Cost Effectiveness
No underutilized servers, completely
usage based billing
Maintainability
Version management and cross-device
synchronization and testing
TestingTester
Some of the best Mobile Apps run on AWS
”
“ • Supercell needed an infrastructure that allows its
developers to deliver the best games
• It uses Amazon Web Services to manage the growth
of its popular tablet and mobile titles
• Scalable cloud allows million-player growth, including
expanding into new markets
• High-powered analytics give Supercell insights to
develop games as a service
• Faster server instances provide compute power for
new features
Supercell Delivers World-Class Mobile Games with AWS
Supercell is a Finnish game company known for the hit
games Clash of Clans, Hay Day, and Boom Beach.
The world of gaming never sleeps
... We owe every player a great
experience, and AWS is our
platform to make that happen.
Sami Yliharju
Services Lead, Supercell
”
“
Corporate Network
App A
App B App C
Container
DevOps
TemplateVDI
Innovation & Agility
Automated builds and deployment of
code
Consistent Regression Testing
Numerous disposable environments that
can be (re)built within a click allowing
regression tests in identical setups
Cost Effective
Environments can be disposed or
stopped when unused
Scalability
Conduct performance and stress tests
with potentially thousands of simulation
nodes
Development and Test
”
“
iZettle Boosts System Performance by 100% Using AWS
iZettle provides payments solutions for
individuals and small businesses.
Queries that took six
seconds now take three
seconds in our AWS
infrastructure.
• Needed an infrastructure that could support fast
growth
• Moved its mission-critical payments platforms to AWS
• Boosted system performance by 100%
• Ensured support for global expansion ambitions
• Accelerated setup of dev environments from one
month to 90 minutes
Johannes Löfgren
Head of DevOps and Infrastructure, iZettle
”
“
Application
Server
Virtual
Server
File
Server
Database
Server
Backup
System
Backup to Cloud Storage
• Eliminate tape, hardware, off-site storage
• Reduce capital expense for backup
infrastructure
• Never worry about backup durability
• Never run out of backup capacity
• Data stored off-site, with high durability, in
multiple locations
Backup and Archive
Amazon S3
Application
Server
Virtual
Server
File
Server
Database
Server
Amazon S3
Solutions supporting backup to S3
Veeam Backup & Replication
Symantec Net Backup
Oracle RMAN and Secure
Backup Module
CommVault Simpana
AltaVault (SteelStore)
Backup
System
Backup and Archive
High Performance Computing
Corporate Network
Elasticity & Cost
Dynamic scalability when compute
jobs are required with utility or spot
pricing
Manageability
Managed services to facilitate
aggregation and storage
Scale
Scale to virtually unlimited amount of
cores
Separation of concerns
Decouple storage and compute – utility
model with on-demand compute
Storage
Grid
Reporting
Streams
• Actuarial calculations with 5 million
policies over 30-50 year simulation
periods
• Taps onto Amazon’s GPU-optimized
compute capacity to build large
calculation clusters to perform Monte
Carlo simulations
• Using AWS helped them to reduce 10-
day process to 10 minutes
Transformative HPC
Perform
thousands of
simulations
GPU optimized
compute cluster
Calculate customer’s
market risk exposure
”
“
National Instruments Saves $1 Million in Hardware Costs
National Instruments is a global company that provides
advanced technology to engineers and scientists.
With Amazon EC2 Spot
instances, we save 85–90% in
costs. That, in turn, allows us to
experiment with less risk.
Joe Gardner
Principal Cloud Architect, National Instruments
”
“ • National Instruments (NI) wanted to lower costs and
improve development times as it tested new products
• With Amazon EC2 Spot instances, NI can run internal
workloads at a fraction of the price of on-demand
processing
• NI has been saving 85–90% in compute costs as it
tests new product features.
• NI has saved more than $1 million in on-premises
infrastructure costs
• NI is also shaving months off of the software
development cycle
Big Data Analytics
Ecosystem
Leverage existing open-source and
commercial frameworks at utility
pricing
Manageability
Managed compute cluster and machine
learning environments
Corporate Network
Storage
Reporting
Data
Warehouse
Elasticity & Cost
Dynamic scalability when compute jobs
are required with utility or spot pricing
Separation of concerns
Decouple storage and compute – utility
model with on-demand compute
Streams Machine
Learning
Compute
”
“ • Wanted a platform to provide greater speed and
scalability for analyzing petabyte-scale data
• Migrating mission-critical operations to AWS
• Can provide analysts with real-time access to 75
billion records collected daily
• Can move faster, more efficiently in serving core
business processes
FINRA Performs Daily Petabyte-Scale Analysis on Trading Data Using AWS
The Financial Industry Regulatory Authority (FINRA) is
the largest independent regulatory authority in the
United States. It is based in Washington, D.C.
We chose AWS to deliver
innovation at a much larger
scale and much faster to our
core business.
Saman Michael Far
Sr. Vice President of Technology
”
“
• Market surveillance platform ingests
30 billion market events every day and
regulates financial trading practices
• Leverages Amazon’s virtually unlimited
storage to store events and allow
analysts to interactively query market
dynamics using fully managed map-
reduce (Hadoop/Hive) and Hbase clusters
Re-Architecting Compliance
Unlimited
Storage
Distributed
Computing
Interactive Market
Queries
Ensure
compliance
30 billion market
events
Cost-Aware Architectures
• Decouple Compute and Storage and grow them
independently
Storage
• Build workflows that are aligned with your business
model by creating cost-aware architectures that only
scale to serve your customer to the accepted SLA
Compute
Amazon S3
Raw Video
Amazon S3
Transcoded
Video
Amazon SQS
Amazon SQS
Free User
Premium
User EC2
instance
EC2
instance
EC2
instance
EC2
instance
Auto Scaling group
Users
How about Security & Compliance?
OR
Move
Fast
Stay
Secure
AND
Move
Fast
Stay
Secure
Gain access to constantly improving security baselines
Build on a constantly improving security baseline,
every customer benefits from the tough
scrutiny of other AWS customers!
ISO 27001
ISO 27017
ISO 27018
Example: Data Sanitization at AWS
• AWS makes no secondary use of customer content
• Manage your privacy objectives any way you want
• Keep data in your chosen format and move it, or
delete it any time
• There is no automatic replication of data outside of
your chosen AWS Region
• Customers can encrypt their content any way they
choose
You always have full ownership and control
Achieve and Verify Compliance
Log &
store all
activity
Audit
Create
inventory
React on
change
Verify
compliance
Analyze
App
Security
Pick from
Service
Catalog
AWS
CloudTrail
AWS
Config
Amazon
Inspector
AWS Service
Catalog
AWS
Config Rules
Security and compliance becomes visible and automated!
Many Worry Cloud Adoption is Binary
Build a
“Private”
Cloud
Rip everything out
and move to
the cloud
0 1
The Good News is it isn’t an ‘All or Nothing’ Choice
Corporate
Data Centers
On-Premises
Resources
Cloud
Resources
Integration
Trend: Virtual Private Cloud
Your Data Center
Virtual Private
Cloud (VPC)
Extending your DC to your Cloud Provider
Your Data Center
AWS VPC
Beyond Virtual Servers
• AWS Managed Services are designed to be highly-
available, resilient, secure, elastic and cost-effective
• Maintenance becomes the responsibility of AWS
• But more importantly: Charged by consumption!
Amazon
Machine
Learning
Amazon
S3
Amazon
DynamoDB
AWS Mobile
Hub
Amazon
QuickSight
Amazon
Workspaces
AWS Elastic
Beanstalk
Amazon
CloudFront
Machine
Learning
Storage CDN Database Mobile Analytics VDI App
Container
Let us handle Software Licensing
• AWS Marketplace offers production-
ready cluster deployments for
various software solutions
• Launch applications with 1-Click
• Pay software licenses completely
on-demand or bring your own
license (BYOL)
Q&A
twitter.com/awsawscloudseasia
aws-asean-marketing@amazon.com
facebook.com/amazonwebservices/
youtube.com/user/AmazonWebServices
slideshare.net/amazonwebservices
Thank you for joining us today.
Please Complete the Survey & Let Us Know What You Think of the webinar.
And Tell Us Your interest to Receive Credit Code
Thank you for joining us today.
Register now for upcoming sessions for today, if you would like to join.
https://pages.awscloud.com/aws-workshop-online.html
12pm – 1pm (SGT) Build a Website on AWS for Your First 10 Million Users
2pm – 3pm (SGT) Modern Data Architectures for Business Insights at Scale
4pm – 5pm (SGT)
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Introduction to Cloud Computing with Amazon Web Services

  • 1.
  • 2. Introduction to Cloud Computing with Amazon Web Services Steve Shirkey Solutions Architect ASEAN Amazon Web Services
  • 3. Steve Shirkey Solutions Architect ASEAN Amazon Web Services
  • 4. « Invention requires two things: the ability to try a lot of experiments, and not having to live with the collateral damage of failed experiments » Andy Jassy CEO, Amazon Web Services
  • 5. A broad and deep platform that helps customers build sophisticated, resilient and scalable applications
  • 6. Web Services Core Services Compute Storage Database Networking Infrastructure RegionsAvailability Zones Edge Locations Platform Services Analytics & AI IoT Gaming Mobile Desktop & App Streaming Business Productivity Developer Tools Business Intelligence Access Control Auditing Monitoring EncryptionSecurity Applications A P I & S D K s
  • 7. On-Demand Model: Pay as you go Analogy: Electricity services • Pay only for what you use • Virtually unlimited capacity (no capacity planning) • Get charged per compute hour, GB of storage used, transactions etc. • Turn it off anytime (and stop paying for it)
  • 8. Why are companies flocking to the cloud so quickly?
  • 9. Move from capital expense to variable expense $ Why Are Companies Flocking To The Cloud So Quickly?
  • 10. No Upfront Cost Align Revenue Model with Infrastructure Cost Revenue Infra Cost Margin Rate Time $
  • 11. Move from capital expense to variable expense Lower variable expense than they could achieve on their own $ Why Are Companies Flocking To The Cloud So Quickly?
  • 12. AWS Pricing Philosophy Ecosystem Global Footprint New Features New Services More AWS Usage More Infrastructure Reduced Prices More CustomersInfrastructure Innovation 59 price reductions since 2006 Lower Infrastructure Costs Economies of Scale
  • 13. Move from capital expense to variable expense Lower variable expense than they could achieve on their own Stop guessing capacity $ Why Are Companies Flocking To The Cloud So Quickly?
  • 14. Auto-Scalable Infrastructure • AWS allows auto-scaling • Services and virtual servers dynamically provisioned based on demand • Fully managed services for specific use cases charged only per consumption Load Capacity Amazon Elastic Compute Cloud Instance
  • 15.
  • 16. 500,000 writes / second to their managed AWS database 200 additional servers during Superbowl 0 additional servers right after
  • 17. Move from capital expense to variable expense Lower variable expense than they could achieve on their own Stop guessing capacity Increased agility $ Why Are Companies Flocking To The Cloud So Quickly?
  • 18. AWS’ History of Innovation 2011 Amazon ElastiCache Amazon SES CloudFormation Direct Connect AWS Elastic Beanstalk GovCloud 2013 Amazon CloudTrail Amazon CloudHSM Amazon WorkSpaces Amazon Kinesis Amazon Elastic Transcoder Amazon AppStream AWS OpsWorks 2015 Amazon EFS Amazon API Gateway Amazon WorkMail Amazon Machine Learning AWS Device Farm AWS WAF Amazon Elasticsearch Service Amazon QuickSight AWS Snowball AWS Kinesis Firehose AWS RDS for MariaDB Amazon Inspector AWS Database Migration Service AWS IoT Amazon EC2 Container Registry AWS Kinesis Analytics AWS Mobile Hub Amazon CloudWatch 2009 Amazon RDS Amazon VPC AWS Auto Scaling AWS Elastic Load Balancing AWS EMR Amazon FPS 2010 Amazon SNS AWS Identity & Access Management Amazon Route 53 AWS Import/Export 2012 Amazon SWF AWS Redshift Amazon Glacier Dynamo DB Amazon CloudSearch Storage Gateway AWS Data Pipeline Trusted Advisor 2014 AWS KMS Amazon Config Amazon Cognito Amazon Mobile Analytics Amazon EC2 Container Service RDS for Aurora Amazon Lambda Amazon WorkDocs Directory Service AWS CodeCommit AWS CodePipeline AWS Service Catalog AWS CodeDeploy CloudWatch Logs 2016 AWS Organizations Amazon Quicksight AWS step functions Amazon Lex Amazon Polly Amazon Rekognition AWS Greengrass Amazon EC2 elastic GPU Amazon EC2 FPGA (F1) Amazon EC2 P2 AWS Batch Amazon Lightsail Lambda@Edge Blox Aurora with PostgreSQL compability AWS codeBuild AWS X-ray AWS Snowball Edge Amazon Pinpoint AWS Shield Cloudwatch Events AWS Glue Amazon Pinpoint 48 61 82 159 280 516 722 1,017 New Services and Major New Feature Announcements
  • 19. Move from capital expense to variable expense Lower variable expense than they could achieve on their own Stop guessing capacity Increased agility Remove undifferentiated heavy lifting $ Why Are Companies Flocking To The Cloud So Quickly?
  • 20. Enterprises Can’t Afford to be Slow Add New Dev Environment Add New Prod Environment Add New Environment in Japan Add 1,000 Servers Remove 1,000 Servers Deploy 1 PB Data Warehouse Shut down 1 PB Data Warehouse Infrastructure in Minutes!Infrastructure in Weeks?
  • 21. Move from capital expense to variable expense Lower variable expense than they could achieve on their own Stop guessing capacity Increased agility Remove undifferentiated heavy lifting Go global in minutes $ Why Are Companies Flocking To The Cloud So Quickly?
  • 22. 16 Regions 42 Availability Zones 70 Edge Locations AWS Global Infrastructure Millions of monthly active customers across the world
  • 23. Global Enterprise Customers General Electric Johnson & Johnson Merck Nordstrom “There is no public cloud infrastructure provider that has more robust enterprise capabilities.” Marc Benioff, Chairman & CEO, Salesforce
  • 24. ” “ Capital One Will Reduce Datacenter Footprint from 8 to 3 by 2018 Capital One is one of the largest banks in the US and offers credit cards, checking and savings accounts, auto loans, rewards, and online banking services for consumers and businesses. The financial service industry attracts some of the worst cyber criminals. We work closely with AWS to develop a security model that we believe enables us to operate more securely in the public cloud than we can in our own data centers. Rob Alexander CIO, Capital One ” “ • Capital One recognized that its customers are adopting mobile and digital platforms rapidly • It is using AWS to develop, test, build, and run its most critical workloads, including its new flagship mobile-banking application • As part of this strategy, Capital One looks to reduce its datacenter footprint from eight to three by 2018 • Capital One selected AWS for: o Its security model and pace of innovation o Elasticity to handle purchasing demands at peak times and high availability
  • 25. ” “ MLBAM Uses AWS for Big Data Analysis Behind Statcast Product • Sought a platform capable of scaling up and down quickly to handle data on game plays • Chose AWS to ingest, analyze, and store 17+ petabytes of baseball data per season • Takes less than 12 seconds to capture, analyze, and deliver data to broadcasters for on-air analysis • Scales to handle up to 13 games per day, or just one or two daily, and shuts down in off season • Helps MLBAM deliver new data in new ways to attract more fans By using AWS to power Statcast… we’re ensuring that our sport is relevant, important, and the center of life for the next generation of fans. Joe Inzerillo Executive Vice President and CTO MLB Advanced Media ” “ MLBAM is the interactive media and Internet company of Major League Baseball.
  • 26. ” “ Netflix Delivers Billions of Hours of Content per Month Using AWS. Netflix is one of the world’s leading Internet television network with over 57 million members in nearly 50 countries. Our success with AWS can be attributed to the scalability, elasticity, and global availability of AWS services. Eva Tse Director, Big Data Platform , Netflix ” “ • Needed flexible IT infrastructure to experiment, analyze, and grow its business worldwide. • Using AWS to measure its users’ streaming experiences through its analytics platform. • Reports a reduction from weeks to seconds in testing time for new features. • Netflix operates a 10 PB data ‘warehouse’ on Amazon S3 comprised of hundreds of millions of objects. • Designed to deliver billions of hours of content monthly using tens of thousands of instances across three regions.
  • 27. Hospitality Trading Insurance Grocery This is something “born in the cloud” companies have already discovered. Devices Disruption is much easier today
  • 28. What are some of the use case customers are using AWS for?
  • 29. Customer Facing Applications External Apps on AWS Scalability and Elasticity Auto-Scaling infrastructure to required capacity and match spending to actual utilization High Availability Application deployments that span across multiple facilities with adequate load balancing Global Reach Highly available global services on edge locations across the world Maintainability Fully managed service portfolio for most common application components DNS CDN Load B. Load B.Front App Backend Database Storage
  • 30. ” “ Adroll Uses AWS to Grow by More Than 15,000% in a Year AdRoll, an online advertising platform, serves 50 billion impressions a day worldwide with its global retargeting platforms. We spend more on snacks than we do on Amazon DynamoDB. • Needed high-performance, flexible platform to swiftly sync data for worldwide audience • Processes 50 TB of data a day • Serves 50 billion impressions a day • Stores 1.5 PB of data • Worldwide deployment minimizes latency Valentino Volonghi CTO, Adroll ” “
  • 31. Mobile Applications Identity & Sync Analytics Notifications Data Logic Marketing Phone Tablet Innovation & Agility 0-tier architectures allow simple and quick iterations High Availability Designed and build for scale and availability across multiple facilities Cost Effectiveness No underutilized servers, completely usage based billing Maintainability Version management and cross-device synchronization and testing TestingTester
  • 32. Some of the best Mobile Apps run on AWS
  • 33. ” “ • Supercell needed an infrastructure that allows its developers to deliver the best games • It uses Amazon Web Services to manage the growth of its popular tablet and mobile titles • Scalable cloud allows million-player growth, including expanding into new markets • High-powered analytics give Supercell insights to develop games as a service • Faster server instances provide compute power for new features Supercell Delivers World-Class Mobile Games with AWS Supercell is a Finnish game company known for the hit games Clash of Clans, Hay Day, and Boom Beach. The world of gaming never sleeps ... We owe every player a great experience, and AWS is our platform to make that happen. Sami Yliharju Services Lead, Supercell ” “
  • 34. Corporate Network App A App B App C Container DevOps TemplateVDI Innovation & Agility Automated builds and deployment of code Consistent Regression Testing Numerous disposable environments that can be (re)built within a click allowing regression tests in identical setups Cost Effective Environments can be disposed or stopped when unused Scalability Conduct performance and stress tests with potentially thousands of simulation nodes Development and Test
  • 35. ” “ iZettle Boosts System Performance by 100% Using AWS iZettle provides payments solutions for individuals and small businesses. Queries that took six seconds now take three seconds in our AWS infrastructure. • Needed an infrastructure that could support fast growth • Moved its mission-critical payments platforms to AWS • Boosted system performance by 100% • Ensured support for global expansion ambitions • Accelerated setup of dev environments from one month to 90 minutes Johannes Löfgren Head of DevOps and Infrastructure, iZettle ” “
  • 36. Application Server Virtual Server File Server Database Server Backup System Backup to Cloud Storage • Eliminate tape, hardware, off-site storage • Reduce capital expense for backup infrastructure • Never worry about backup durability • Never run out of backup capacity • Data stored off-site, with high durability, in multiple locations Backup and Archive Amazon S3
  • 37. Application Server Virtual Server File Server Database Server Amazon S3 Solutions supporting backup to S3 Veeam Backup & Replication Symantec Net Backup Oracle RMAN and Secure Backup Module CommVault Simpana AltaVault (SteelStore) Backup System Backup and Archive
  • 38. High Performance Computing Corporate Network Elasticity & Cost Dynamic scalability when compute jobs are required with utility or spot pricing Manageability Managed services to facilitate aggregation and storage Scale Scale to virtually unlimited amount of cores Separation of concerns Decouple storage and compute – utility model with on-demand compute Storage Grid Reporting Streams
  • 39. • Actuarial calculations with 5 million policies over 30-50 year simulation periods • Taps onto Amazon’s GPU-optimized compute capacity to build large calculation clusters to perform Monte Carlo simulations • Using AWS helped them to reduce 10- day process to 10 minutes Transformative HPC Perform thousands of simulations GPU optimized compute cluster Calculate customer’s market risk exposure
  • 40. ” “ National Instruments Saves $1 Million in Hardware Costs National Instruments is a global company that provides advanced technology to engineers and scientists. With Amazon EC2 Spot instances, we save 85–90% in costs. That, in turn, allows us to experiment with less risk. Joe Gardner Principal Cloud Architect, National Instruments ” “ • National Instruments (NI) wanted to lower costs and improve development times as it tested new products • With Amazon EC2 Spot instances, NI can run internal workloads at a fraction of the price of on-demand processing • NI has been saving 85–90% in compute costs as it tests new product features. • NI has saved more than $1 million in on-premises infrastructure costs • NI is also shaving months off of the software development cycle
  • 41. Big Data Analytics Ecosystem Leverage existing open-source and commercial frameworks at utility pricing Manageability Managed compute cluster and machine learning environments Corporate Network Storage Reporting Data Warehouse Elasticity & Cost Dynamic scalability when compute jobs are required with utility or spot pricing Separation of concerns Decouple storage and compute – utility model with on-demand compute Streams Machine Learning Compute
  • 42. ” “ • Wanted a platform to provide greater speed and scalability for analyzing petabyte-scale data • Migrating mission-critical operations to AWS • Can provide analysts with real-time access to 75 billion records collected daily • Can move faster, more efficiently in serving core business processes FINRA Performs Daily Petabyte-Scale Analysis on Trading Data Using AWS The Financial Industry Regulatory Authority (FINRA) is the largest independent regulatory authority in the United States. It is based in Washington, D.C. We chose AWS to deliver innovation at a much larger scale and much faster to our core business. Saman Michael Far Sr. Vice President of Technology ” “
  • 43. • Market surveillance platform ingests 30 billion market events every day and regulates financial trading practices • Leverages Amazon’s virtually unlimited storage to store events and allow analysts to interactively query market dynamics using fully managed map- reduce (Hadoop/Hive) and Hbase clusters Re-Architecting Compliance Unlimited Storage Distributed Computing Interactive Market Queries Ensure compliance 30 billion market events
  • 44. Cost-Aware Architectures • Decouple Compute and Storage and grow them independently Storage • Build workflows that are aligned with your business model by creating cost-aware architectures that only scale to serve your customer to the accepted SLA Compute
  • 45.
  • 46. Amazon S3 Raw Video Amazon S3 Transcoded Video Amazon SQS Amazon SQS Free User Premium User EC2 instance EC2 instance EC2 instance EC2 instance Auto Scaling group Users
  • 47. How about Security & Compliance?
  • 50. Gain access to constantly improving security baselines Build on a constantly improving security baseline, every customer benefits from the tough scrutiny of other AWS customers! ISO 27001 ISO 27017 ISO 27018
  • 52. • AWS makes no secondary use of customer content • Manage your privacy objectives any way you want • Keep data in your chosen format and move it, or delete it any time • There is no automatic replication of data outside of your chosen AWS Region • Customers can encrypt their content any way they choose You always have full ownership and control
  • 53. Achieve and Verify Compliance Log & store all activity Audit Create inventory React on change Verify compliance Analyze App Security Pick from Service Catalog AWS CloudTrail AWS Config Amazon Inspector AWS Service Catalog AWS Config Rules Security and compliance becomes visible and automated!
  • 54. Many Worry Cloud Adoption is Binary Build a “Private” Cloud Rip everything out and move to the cloud 0 1
  • 55. The Good News is it isn’t an ‘All or Nothing’ Choice Corporate Data Centers On-Premises Resources Cloud Resources Integration
  • 56. Trend: Virtual Private Cloud Your Data Center Virtual Private Cloud (VPC)
  • 57. Extending your DC to your Cloud Provider Your Data Center AWS VPC
  • 58. Beyond Virtual Servers • AWS Managed Services are designed to be highly- available, resilient, secure, elastic and cost-effective • Maintenance becomes the responsibility of AWS • But more importantly: Charged by consumption! Amazon Machine Learning Amazon S3 Amazon DynamoDB AWS Mobile Hub Amazon QuickSight Amazon Workspaces AWS Elastic Beanstalk Amazon CloudFront Machine Learning Storage CDN Database Mobile Analytics VDI App Container
  • 59. Let us handle Software Licensing • AWS Marketplace offers production- ready cluster deployments for various software solutions • Launch applications with 1-Click • Pay software licenses completely on-demand or bring your own license (BYOL)
  • 60. Q&A
  • 61.
  • 62. twitter.com/awsawscloudseasia aws-asean-marketing@amazon.com facebook.com/amazonwebservices/ youtube.com/user/AmazonWebServices slideshare.net/amazonwebservices Thank you for joining us today. Please Complete the Survey & Let Us Know What You Think of the webinar. And Tell Us Your interest to Receive Credit Code
  • 63. Thank you for joining us today. Register now for upcoming sessions for today, if you would like to join. https://pages.awscloud.com/aws-workshop-online.html 12pm – 1pm (SGT) Build a Website on AWS for Your First 10 Million Users 2pm – 3pm (SGT) Modern Data Architectures for Business Insights at Scale 4pm – 5pm (SGT) Modern Data Architectures for Real-time Analytics and Engagement

Hinweis der Redaktion

  1. STORY BACKGROUND, SOLUTION, & BENEFITS Capital One is one of the nation’s largest banks and offers credit cards, checking and savings accounts, auto loans, rewards, and online banking services for consumers and businesses. It is using AWS to develop, test, build, and run its most critical workloads, including its new flagship mobile-banking application As part of this strategy, Capital One looks to reduce its datacenter footprint from eight to three by 2018 CONTENT TAGS Main use case: Datacenter Migration Additional use case(s): Mobile, Security Keywords (seperated by commas): Enterprise, migration, datacenter, TCO, savings, security, Mobile, app, digital services All AWS Services used by the customer: Not disclosed Benefits Realized: Agility, Lower Time To Market, Reliability, Scalability/Elasticity, Security, Speed
  2. STORY BACKGROUND MLB Advanced Media is the interactive media and Internet division of Major League Baseball Needed an agile, highly scalable platform for it’s Player Tracking System, which is marketed to broadcasters as Statcast SOLUTION & BENEFITS Decided to use AWS instead of building an in-house system to ingest, analyze, and store data captured during games System captures data from games in less than 12 seconds, using “black box” analytics engine that leverages AWS Lambda for analysis Scales up and down to accommodate variations in game schedules, with as few as 1-2 games a day or up to 13 games Delivers exciting new way for fans, broadcasters and teams to understand the nuances of the game CONTENT TAGS Main use case: Big Data, Analytics and Business Intelligence (BI) Keywords (seperated by commas): Sports, entertainment, big data All AWS Services used by the customer: Amazon EC2, AWS Lambda, Amazon S3, Amazon Elasticache, AWS Direct Connect Benefits Realized: Agility, Speed, Scalability/Elasticity
  3. STORY BACKGROUND Netflix is one of the world’s leading Internet television network with over 57 million members in nearly 50 countries. The company is using AWS to measure and understand its users’ streaming experiences through its analytics platform. Also using AWS to deliver billions of hours of content per month to users worldwide. By using AWS, Netflix can reduce its testing times from weeks to seconds and store more than 10 PB of information––hundreds of millions of objects––on Amazon S3. SOLUTION [Main use case]. Big Data [Additional use cases]. Analytics and Business Intelligence (BI); Content Delivery; Database and Data Warehouse; Development and Test [Keywords separated by commas]. EMR, Analytics, S3, Data Warehouse, Testing, User experience, Hadoop, DevOps [List all AWS Services used by the customer]. Using Amazon EC2, Amazon EMR, Amazon S3, DynamoDB BENEFITS Reduced testing time from weeks to seconds by launching instances instead of procuring servers. Netflix operates a 10 PB data ‘warehouse’ on Amazon S3 comprised of hundreds of millions of objects. Designed to deliver billions of hours of content monthly using tens of thousands of instances across three regions. Moving organization to a DevOps model to promote fast ways to test and experiment new features. [Benefits Realized]. Availability, Better Performance, Lower Time To Market, Scalability/Elasticity, Speed, User Experience
  4. STORY BACKGROUND Financial services technology company focused on the global trading market Develops trading, market data, and social research solutions for individual investors, small to mid-size brokers, and developers Needed a solution that could provide on-demand resources with the ability to handle unpredictable situations SOLUTION & BENEFITS Reduced the fixed cost of launching a software product by 40%    Reduced product development by hundreds of hours, enabling a more aggressive product development strategy Deployed servers in a single day, resulting in faster delivery of market data to customers Maintained client and trade record security while simplifying distribution of market data Using Amazon EC2, AmazonS3, Elastic Load Balancing, Amazon RDS, and AWS Direct Connect
  5. STORY BACKGROUND Supercell is a Finnish game company known for the hit games Clash of Clans, Hay Day, and Boom Beach It uses Amazon Web Services to manage the growth of these popular tablet and mobile titles With tens of millions of players across the world every day, Supercell needs the ease of use and scalability that AWS provides to deliver the best possible gaming experience SOLUTION & BENEFITS Scalable cloud allows million-player growth, including expanding into new markets High-powered analytics give Supercell the insight to develop games as a service Faster server instances provide the compute power for new features CONTENT TAGS Main use case: Mobile Additional use case(s): Big Data, Analytics and Business Intelligence (BI); Database and Data Warehouse; Development and Test Keywords: Supercell, gaming, Clash of Clans, Boom Beach, Hay Day, analytics All AWS Services used by the customer: Amazon EC2, Amazon S3, Amazon Glacier, Elastic Load Balancing, Amazon Kinesis, Amazon Elastic MapReduce, Amazon DynamoDB, AWS Lambda, Amazon CloudFront, AWS CloudFormation, AWS CloudTrail, AWS Support Benefits Realized: Options are: Agility, Availability, Better Performance, Ease of Use, Flexibility, Lower Time To Market, Scalability/Elasticity, Speed
  6. STORY BACKGROUND iZettle’s payments solutions enable individuals and small businesses to accept card payments through iOS and Android smartphones The startup runs most of its infrastructure, including its mission-critical payments platforms, on AWS It needed a solution that would support expansion of its payments business across three continents SOLUTION & BENEFITS Cutting time for database queries from 6 seconds to 3 seconds    Supporting global growth with scalable infrastructure Speeding dev environment setup from one month to 90 minutes Enabling fast card payments and ensuring good customer experience CONTENT TAGS Main use case: Datacenter Migration Additional use case: Website/Web App, Development & Test (Dev/Test), Mobile Key words: Mobile payment solutions, iZettle, payment app, smartphone chip card reader, point of sale AWS Services used: Amazon VPC, Amazon EC2, Elastic Load Balancing, Auto Scaling, Amazon RDS, Amazon Elastic Block Store, Amazon SNS, Amazon SQS, Amazon Config, Amazon CloudWatch, Amazon Route 53, AWS Direct Connect Benefits Realized: Agility, Availability, Better Performance, Flexibility, Lower Cost, Lower Time To Market, Scalability/Elasticity, Security, Speed, User Experience
  7. STORY BACKGROUND Founded in 1976, National Instruments (NI) works with engineers and scientists to provide answers to the most challenging questions. NI’s FPGA team offers FPGA compile services hosted on Amazon EC2 and uses AWS and Amazon EC2 Spot instances for internal development and testing. In August 2014, NI expanded its use of AWS to its LabVIEW software development team, which uses Amazon EC2 Spot instances to process overflow test workloads. SOLUTION & BENEFITS Saves 85–90% in compute costs as it tests new product features Saved $1 million in on-premises infrastructure costs Is shaving months off of the software development cycle CONTENT TAGS Main use case: Development & Test (Dev/Test) Additional use case(s): Batch processing Keywords (separated by commas): Development, testing, compiles, research and development, Amazon EC2 Spot instances All AWS Services used by the customer: Amazon EC2, Auto Scaling, Amazon S3, Amazon RDS, Amazon DynamoDB, Amazon Route 53, AWS CloudFormation, AWS CloudTrail Benefits Realized: Options are: Agility, Ease of Use, Flexibility, Lower Cost, Lower Time-to-Market, Reliability, Scalability/Elasticity
  8. STORY BACKGROUND Largest financial regulatory organization in the U.S. wanted to move away from traditional on-premises IT infrastructure to gain speed, scalability SOLUTION & BENEFITS Is migrating mission-critical workloads to AWS (75% completed by end of 2015) Can easily collect 75 billion records daily Analysts can perform real-time queries CONTENT TAGS Main use case: Big data Keywords: financial industry, big data AWS Services used : Amazon EC2, Amazon S3, Amazon EMR Benefits Realized: Security, Speed, Agility, Scalability
  9. One example: Vimeo, using different backends with different pricing characteristics for paying vs. non-paying customers. SQS to buffer and worker layer below
  10. One example: Vimeo, using different backends with different pricing characteristics for paying vs. non-paying customers. SQS to buffer and worker layer below
  11. For a long time, most organizations have had to make a choice between moving fast or maintaining a high degree of security. It’s a difficult choice, and inevitably security trumps all.
  12. But, one of the fundamental benefits of the cloud is that you’re able to do both, because the security of the infrastructure is handled by the AWS global security team. This frees your resources up to focus completely on the security of your applications.