3. 2012 2013 2014
Amazon S3 Usage
102% YoY increase in data transfer
to and from S3
(Q4 2014 vs Q4 2013, not including Amazon use)
4. 2011 2012 2013 2014
Amazon EC2 Usage
93% YoY increase in EC2
instance usage
(Q4 2014 vs Q4 2013, not including Amazon use)
5. 2008 2009 2010 2011 2012 2013 2014
Over 1 Million Active
Customers
“Active customer” is defined as a non-Amazon customer with AWS account usage activity in the past month, including the free tier
11. Gartner
“Magic
Quadrant
for
Cloud
Infrastructure
as
a
Service,”
Lydia
Leong,
Douglas
Toombs,
Bob
Gill,
Gregor
Petri,
Tiny
Haynes,
May
28,
2014.
This
Magic
Quadrant
graphic
was
published
by
Gartner,
Inc.
as
part
of
a
larger
research
note
and
should
be
evaluated
in
the
context
of
the
enMre
report.
The
Gartner
report
is
available
at
hNp://aws.amazon.com/resources/analyst-‐
reports/.
Gartner
does
not
endorse
any
vendor,
product
or
service
depicted
in
its
research
publicaMons,
and
does
not
advise
technology
users
to
select
only
those
vendors
with
the
highest
raMngs.
Gartner
research
publicaMons
consist
of
the
opinions
of
Gartner's
research
organizaMon
and
should
not
be
construed
as
statements
of
fact.
Gartner
disclaims
all
warranMes,
expressed
or
implied,
with
respect
to
this
research,
including
any
warranMes
of
merchantability
or
fitness
for
a
parMcular
purpose.
Gartner Magic Quadrant
Cloud Infrastructure as a Service
12. The fastest growing multi-billion dollar
enterprise IT company in the world
Amazon Web Services > 40%
Salesforce 26%
VMware 15%
Google 15%
CDW 12%
Microsoft 8%
Cisco 7%
SAP 7%
EMC 6%
Oracle 0%
Teradata -1%
CA -3%
Symantec -4%
HP -5%
IBM -12%
Multi-billion dollar
enterprise IT vendors
Most recent YoY
revenue growth rate
15. Speed Is Not Just For Start-ups:
Companies of All Sizes Will Move Faster Than Ever Before
1
16. It’s Hard To Stay Competitive Today Without
The Cloud
17. Old World
Large upfront capital investment
Basic compute and storage only
Responsible for feature upgrades
Slow to get new capabilities
Low, variable cost
Broad and deep platform
New features arrive daily
Ready to use
18. 24
48 61
82
159
280
516
2008 2009 2010 2011 2012 2013 2014
AWS Rapid Pace Of Innovation
516 major new features and services launched in 2014
19. Enterprises Are Using The Cloud For New Apps
& Digital Transformation
StatCast App platform Fast Moving Consumer Goods E-commerce
Digital Personal Finance Web Telecommunications
KTC
21. ² Founded in 1938 | 76 Years of experience!
!
² One of the largest Consumer Package Goods (CPG) Distributor!
in East Malaysia with a market size of RM6.0 billion!
² Business presence in:!
o Sabah - Kota Kinabalu, Labuan, Tawau, Sandakan!
o Sarawak – Sibu, Kuching, Miri!
² 3769 sales and distribution points covering over 80 districts !
A LITTLE ABOUT US!
22. BUSINESS
FOCUS!
Provision of
market access
and coverage
of CPG!
Manufacturing
of bakery
products!
Distribution and
warehousing of
third party brands
of CPG!
Distribution and
warehousing of
own brands of
CPG!
Manufacturing
and distribution of
own brand of
bakery products!
Customer
Base!
Wholesalers !Retailers!
!
Food Service Operators
!
Distributors!
WHAT WE DO!
23. ² Leading international brands!
!
² 227 brands !
!
² 7957 products!
F&B ! Personal Care!
OTC drugs &
health !
supplements!Baby Care !Household!
24. ² Frozen and dry goods!
² Bakery products!
!
² Producing approximately 35,000 CREAMOS !
bread rolls daily!
!
!
OWN HOUSEHOLD BRANDS!
25. CHALLENGES !
!
!
Ø Business expansion !
Ø Unacceptable service delay from the local data centre!
!
Ø High cost to manage the servers in-house and storage!
Ø Data back-up!
Ø Advancing technology and e-commerce trend !
!
Traditional v/s Technology!
26. !
Ø Provision of flexibility for ongoing business growth!
!
Ø Reliability and security !
!
Ø Support routine back-ups and disaster recovery!
Ø Increase productivity !
Ø Technical and operational !
Ø Cost management and efficiency!
SEEKING FOR SOLUTIONS!
?!
33. • Location based smartphone ride
booking and dispatching service
• Our vision is to revamp the South
East Asian public transportation
• Founded by 2 HBS Malaysian grads
• $330M USD in funding to date
37. ● 6 countries comprising of 20 cities in Southeast Asia
● 80k drivers active
● iOS and Android apps have been downloaded 4.4 Million times to date
100% running on AWS Cloud
39. What are the next steps on AWS / vision of cloud
Database scaling technology is a common bottleneck. Aurora will let us scale
faster and meet growth demand.
Data from millions of mobile devices will let us match supply and demand, in real
time. This is achievable with deep integration with Kinesis and EMR.
Experiments on task isolation and predictive load management with containerized
environments with EC2 Container Service.
Amazon Kinesis! Amazon Elastic MapReduce!
42. Key Components Of Agility
+ =
Quick to
provision
Don’t have to
reinvent the wheel
Vast infrastructure
technology platform
43. More Functionality Than Any Other
Infrastructure Provider
Enterprise Applications
Administration & Security
Core Services
Platform Services
Infrastructure
AWS Marketplace
44. More Functionality Than Any Other
Infrastructure Provider
Enterprise Applications
Administration & Security
Core Services
Platform Services
Infrastructure
AWS Marketplace
46. Customers Want To Use The Leading Platform
Largest customer &
partner community
Most functionality
Longest
experience
47. Customers Want To Use The Leading Platform
Largest customer &
partner community
Most functionality
Longest
experience
48. Jack Sen
VP of Technology
jacksen.pang@123rf.com
linkedin.com/in/jacksen
49. ● 40 million stock images, vectors, footage and audio file
● Top 5 global microstock site
● No. 1 microstock site from Asia
● Ranked top 900 websites *according to Alexa.com
● 15.4M visits per month *according to similarWeb.com
50. Datacenter
Web, Search Assets Cache
Database Data Warehouse DNS
Cache and Assets Storage
Amazon EC2! Amazon S3! Amazon CloudFront!
Amazon RDS! Amazon Redshift! Amazon Route 53!
51. 80 to 120 Amazon EC2 Instances
● batch image resizing
● real time image processing and watermark stamping
● image fingerprinting and recognition
● video and audio transcoding
● search engine
120TB of Amazon S3 Storage
● Images, Footage and Audio Files
106TB Amazon Cloudfront Traffic Per Month
How are we using AWS
52. Benefits of Amazon Cloudfront
Traditional CDN
● CDN only for the big players.
● Big commitment and annual contract needs to be signed.
● We set up our own CDN by buying servers in various
regions.
Amazon Cloudfront CDN
● AWS Pay-as-you-go pricing
● Deploy an Amazon Cloudfront distribution in minutes
● No long term contract needed, pay for what you use.
53. Benefits of Amazon EC2
Flexibility
● Scale your platform elastically as your business grows by
provisioning infrastructure on demand.
● dealing with ‘hardware’ failure is easier. Just spin up a new instance
and restore from backup. Even better if auto deploy and failover infra.
● Auto scaling in response to load event
● Makes pre launch capacity planning easy
Cost Effectiveness
● Flexibility
Many different choices of instance type
Only pay for what you use
Choices of on-demand, spot or dedicate instances
● Operations Efficiency
No need for engineers to maintain hardware
Instead they concentrate on planning,scaling, auto failover, etc
54. Advice
Aim for Flexibility
Make your infra horizontally scalable (ability to work on multiple ‘smaller’
nodes).
Go Hybrid
It doesn’t have to be an all or nothing decision. You can go hybrid first.
Use AWS Direct Connect or VPN to connect your datacenter and your
virtual stack.
Amazon Cloudfront
Ensure that you have adequate origin capacity to satisfy your edge
demand, or better still, use Amazon S3 as your origin.
55. Future with AWS
● Amazon Elastic File System
● Amazon Cloudsearch
● Amazon Machine Learning
● Amazon Kinesis
57. Old World Databases
Lock inProprietary
Punitive licensing with
limited flexibility
Contract
Very expensive
S
58. It’s Why Customers Have Been Moving To More Open,
Customer Friendly, Less Expensive Database Engines
59. …But, to get comparable performance
to proprietary databases is hard
60. MySQL compatible
Available, durable, and fault tolerant
5X better performance of high-end MySQL database
Highly scalable and secure
Thousands of customers in the preview
1/10th the cost of the leading
commercial database solutions
Amazon
Aurora
64. Amazon EC2 Container Service
Launch and terminate
Docker containers
Across a cluster
of EC2 instances
Mount persistent
volumes at launch
Private Docker
repositories
65. EC2 Container Service Is Now Generally Available
Available to
all customers
Management
console
Geographic
expansion
US East, US West, EU
West, Sydney and Japan
CloudTrail
integration
aws.amazon.com/ecs
66. A New Service Scheduler For Long-running
Applications
Scale containers
up and down
Distribute traffic
via ELB
Automatically
recover unhealthy
containers
Deploy updated
containers &
definitions
68. AWS Lambda: An Event Driven
Computing Service
Events from AWS services Cloud Functions in
Node.js
Automatic execution with
no servers to provision
Cloud functions in
Java
69. How Are Customers Using
AWS Lambda?
Data triggers
Stream processing
Indexing &
synchronization
IoT
Server-free
back-end
85. Introducing The Amazon Elastic File System
A fully managed file system for EC2
Highly available and durable
SSD-based
Automatic data replication across AZs (like S3)
Very high throughput and low latency
Grows to petabyte scale, elastically
86. Simple: An Easy To Use, Fully
Managed File System
Create a scalable file system in seconds
Seamless integration with existing apps
Supports NFSv4
Deploy
No upfront or minimum costs
87. Elastic: A File System That Grows
And Shrinks, Automatically
Dynamically and automatically resizes as data is added or removed
No need to provision storage capacity or performance
Pay only for the storage space you use
88. Scalable: A File System For Virtually
Any Workload
Grow to petabyte scale
Throughput and IOPS scale automatically
Support for thousands of concurrent NFS connections
Consistent low latency access
91. More And More Customers Are
Adopting Machine Learning
Email targeting Recommendations Social news
Digital health Language processing Auto-scaling
92. A Legacy Of Machine Learning
At Amazon
“Customers who bought this also bought…”
Natural language processing
Search
Vision systems in Fulfillment Centers
93. How do we provide all internal teams with
access to machine learning?
94. The Spark For Hundreds Of New Machine
Learning Applications
Counterfeit goods detection
Customer adoption models
Item classification
Sales lead ranking
Search intent
Demand estimation
Customer support
Display ads
99. Machine Learning By
Example
Based on what you know
about a customer:
Will they use your product?
Based on what you know
about an order:
Is that order fraudulent?
100. Based on what you know
about a news article:
What other articles are interesting?
Machine Learning By
Example
Based on what you know
about a customer:
Will they use your product?
Based on what you know
about an order:
Is that order fraudulent?
103. Machine Learning
Challenges for Developers
Statistics
Model building
Cross-validation
Algorithms
Transformation In production At scale
104. Easily create machine learning models
Visualize and optimize models
Put models into production in seconds
Battle-hardened technology
Introducing Amazon
Machine Learning
105. Train and optimize models on GBs of data
Batch process predictions
Real-time prediction API in one-click
No servers to provision or manage
Easy to Use, High Performance
106. Amazon Machine Learning is integrated
across AWS data stores
S3, Redshift and RDS
Wealth of data now available to ML
Data & Amazon
Machine Learning