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AWS Startup Insights
Follow Us @AWSCloudSEAsia
© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Dr. Werner Vogels
@werner
Building Great Startups
with the Cloud
The 4 Jobs of a Startup Founder
The 4 Jobs of a Startup Founder
1. Product Vision
The 4 Jobs of a Startup Founder
1. Product Vision
2. Business Model
The 4 Jobs of a Startup Founder
1. Product Vision
2. Business Model
3. Speed of Execution
The 4 Jobs of a Startup Founder
1. Product Vision
2. Business Model
3. Speed of Execution
4. Talent
Additional Jobs of the Technical Founder
Additional Jobs of the Technical Founder
1. Security
Additional Jobs of the Technical Founder
1. Security
2. Reliability
Additional Jobs of the Technical Founder
1. Security
2. Reliability
3. Scalability
Additional Jobs of the Technical Founder
1. Security
2. Reliability
3. Scalability
4. Performance
Additional Jobs of the Technical Founder
1. Security
2. Reliability
3. Scalability
4. Performance
5. Cost Efficiency
Malaysia Startup Customers
Cloud removes
Constraints
Data Center Servers Networking Databases Storage
Everything is Programmable
?
No upfront
capital
Only pay for what you use No need to
guess capacity
Agility, speed &
innovation
Remove
undifferentiated
heavy lifting
Go global
in minutes
SIMPLICITY
“A complex system that works is invariably found to have
evolved from a simple system that worked. A complex system
designed from scratch never works and cannot be patched
up to make it work. You have to start over with a working
simple system. ”
Gall’s law
The Cloud Drives
Simplicity
The Cloud Makes
Development Simpler
Virtual Machines Containers Functions
High availability
& scale
Continuous
deployment
Environment
fidelity
Application
portability
The Rise of Application Containers
Private Docker
repositories
Mount persistent
volumes at launch
Across a cluster
of EC2 instances
Launch and
terminate
Docker containers
Amazon EC2 Container Service
A Fully Managed Service for Docker Containers
Amazon ECS: Some Examples…
Batch Processing Open-source Paas
Solr Search Cluster
PaaS
Gaming Engine
Web Application Platform
Microservices Backend
Mapping Solution
Real-time Image Transformation
B A C K E N DF R O N T E N D
Cluster 1
ECS
Cluster 2
ECS
Cluster 3
ECS
App
State
DEVELOPERS
LEARNERS
IGUAZÚ
ADMIN
SERVICES
Iguazú BackendIguazú Frontend
cassandra database
AMAZON SQS
AMAZON ECS
Business metrics reports
PAYMENT
RECONCILIATION
GRADE REPORTS
LEARNER
DEMOGRAPHICS
COURSE STATISTICS
MARKETING EMAIL
AUTO GRADING
The Best Place to Run Containers in Production
EC2 CONTAINER
SERVICE
EC2 CONTAINER
REGISTRY
The Best Place to Run Containers in Production
EC2 CONTAINER
SERVICE
EC2 CONTAINER
REGISTRY
AZ-AW ARE
SERVICE SCHEDULER
The Best Place to Run Containers in Production
EC2 CONTAINER
SERVICE
EC2 CONTAINER
REGISTRY
AZ-AW ARE
SERVICE SCHEDULER
DOCKER INTEGRATION
WITH COMPOSE
The Best Place to Run Containers in Production
EC2 CONTAINER
SERVICE
EC2 CONTAINER
REGISTRY
AZ-AW ARE
SERVICE SCHEDULER
DOCKER INTEGRATION
WITH COMPOSE
ECS CLI
The Cloud Makes
Compute Simpler
AWS Lambda
aws.amazon.com/lambda
No server is easier to
manage than no server
:)
Photo bucket
S3
Event-driven Computing
:)
Extract metadata
Cloud Function
Photo bucket
S3
Event-driven Computing
:)
Extract metadata
Cloud Function
Metadata
Dynamo DB
Photo bucket
S3
Event-driven Computing
:)
Trending
Cloud Function
Trending
Dynamo DB
Extract metadata
Cloud Function
Metadata
Dynamo DB
Photo bucket
S3
Event-driven Computing
:)
Notify
Cloud Function
SNS
Push Notification
Trending
Cloud Function
Trending
Dynamo DB
Extract metadata
Cloud Function
Metadata
Dynamo DB
Photo bucket
S3
Event-driven Computing
Kinesis
Stream
Process
Event
S3
DynamoDB
RDS
Redshift
Real-time Analytics and Dashboards
us-west-2
ELB
ELB
Bidders
Ad Servers
us-east-1
Bidders
Ad Servers
eu-west-1
ap-southeast-1
ap-northeast-1
Kinesis
S3
60B
Events/Day
600k
Files/Day
SQS
SQS
SQS
SQS
Machine
Learning
Analytics
Dynamic
Creatives
Profiles
DynamoDB
us-west-2
DynamoDB
us-east-1
DynamoDB
eu-west-1
DynamoDB
ap-southeast-1
DynamoDB
ap-northeast-1
ELB
ELB
Bidders
Ad Servers
ELB
ELB
Bidders
Ad Servers
ELB
ELB
Bidders
Ad Servers
ELB
ELB
DynamoDB
Create User
Update profile
Send message
Latest messages
Back end
API Gateway
Javascript
& HTML5 app
Mobile app
Front end
Server-less Backend Applications
AWS Lambda in Production
Threat intelligence and analytics
Ad data analytics and routing Mobile app analytics Image content filtering
Real-time video and bidding
News content processing
News media processing Game metrics analytics
CloudFormation
Support
Integration with
SNS, SWF, ASK
API Gateway
Integration
Java Mobile SDK &
Cognito Integration
New Lambda Features Since Last Year
VPC Support Long-running Functions Scheduled Functions
Mobile Apps
Websites
Services
Internet API Gateway
API
Gateway
Cache
CloudWatch
EC2
Endpoints
Lambda
Functions
Any Other
Endpoint
Versioning Metering and
throttling
Caching Signing &
authorization
SDK
generation
Amazon API Gateway
Create robust, scalable and secure APIs in minutes
The Cloud Makes
Mobile Simpler
MOBILE DEVICE
The Duality of Devices
MOBILE DEVICE MOBILE BACKEND
The Duality of Devices
MOBILE DEVICE MOBILE BACKEND
DATA AND CONTENT
ANALYTICS
S3DynamoDB RDS
Mobile Analytics
The Duality of Devices
MOBILE DEVICE MOBILE BACKEND
DATA AND CONTENT
ANALYTICS
NOTIFICATIONS
S3DynamoDB RDS
Mobile Analytics
SNS
The Duality of Devices
Amazon Cognito
API Gateway
Lambda
Lambda
Lambda
MOBILE DEVICE MOBILE BACKEND
DATA AND CONTENT
ANALYTICS
NOTIFICATIONS
S3DynamoDB RDS
Mobile Analytics
SNS
The Duality of Devices
3 Steps to App Nirvana With AWS Mobile Hub
1. CHOOSE & CONFIGURE FUNCTIONALITY
3 Steps to App Nirvana With AWS Mobile Hub
1. CHOOSE & CONFIGURE FUNCTIONALITY
2. DOWNLOAD SOURCE
3 Steps to App Nirvana With AWS Mobile Hub
1. CHOOSE & CONFIGURE FUNCTIONALITY
2. DOWNLOAD SOURCE
3. TEST & MONITOR
Lots of devices can be solved by trying to test on all of them, but
usually more likely to just use a subset; made worse by the fact
that new devices are appearing on the market all the time.
Automatically test on a large
selection of device types
View detailed reports,
logs and screenshots
Configure location, language
and application data
Integrate with existing
development workflow
AWS Device Farm
Test your app on real
smartphones and tablets
in the AWS Cloud
The Cloud Makes
IoT Simpler
Connected Devices are Everywhere
SENSORS ACTUATOR
Devices Network Security Data Collection Smarts
1
The Heavy Lifting With IoT
AWS IoT
Securely connect and manage devices, at any scale
Beta available today
Connect Billions
of Devices
Introducing AWS IoT
Devices
Connect Billions
of Devices
Lightweight
Communication
Protocol
Introducing AWS IoT
Devices Network
Connect Billions
of Devices
Lightweight
Communication
Protocol
X509 Certificates
Introducing AWS IoT
Devices Network Security
Connect Billions
of Devices
Lightweight
Communication
Protocol
X509 Certificates DynamoDB,
Kinesis, and S3
Introducing AWS IoT
Devices Network Security Data Collection
1
Connect Billions
of Devices
Lightweight
Communication
Protocol
X509 Certificates DynamoDB,
Kinesis, and S3
Trigger Lambda
Functions
Introducing AWS IoT
Devices Network Security Data Collection Smarts
1
Things
AWS IoT
Device
Gateway
The AWS IoT Platform
Things
AWS IoT
Device
Gateway
S3 DynamoDB Kinesis Lambda
The AWS IoT Platform
Rules
Things
AWS IoT
Device
Gateway
S3 DynamoDB Kinesis Lambda
Registry
The AWS IoT Platform
Rules
What About Interacting with
Devices When They are Offline?
Via RESTful
API
Read Last Reported
State
Set Desired Future
State
AWS IoT Device Shadows
Things
AWS IoT
Device
Gateway
Rules
S3 DynamoDB Kinesis Lambda
Registry
Shadow
Your App
The AWS IoT Platform
The Cloud Makes
Analytics Simple
Past Present Future+ +
Data-driven
Development Analysis & reporting
Redshift, S3 & EMR
Mobile Analytics
Real time & dashboards
Kinesis
EC2 & Lambda
Prediction
Predictive Models and Machine Learning
Automatically find patterns in existing data & make
confident predictions on new data
At scaleIn production
Statistics
Model building
Cross-validation
Algorithms
Transformation
Using Machine Learning is Hard
2 Senior Developers
92% accuracy
> 1 month
2 Senior Developers
92% accuracy
> 1 month
1 Developer
92% accuracy
20 minutes
Sales lead ranking
Customer adoption models
Counterfeit goods detection
Item classification
Display ads
Customer support
Demand estimation
Search intent
The Spark For Hundreds of New Machine
Learning Applications
Easily create machine learning models
Visualize and optimize models
Put models into production in seconds
Battle-hardened technology
Use data from S3, RDS, and Redshift
Amazon Machine Learning
Build model
Validate & optimize
Make predictions
1
2
3
Build model
Validate & optimize
Make predictions
1
2
3
Build model
Validate & optimize
Make predictions
1
2
3
Batch predictions
Asynchronous predictions
with trained model
Real-time predictions
Synchronous, low latency,
high throughput
Mount API end-point with a
single click
90
AWS Activate Benefits
Cloud removes
constraints
Build the Applications
You Have Always Wanted
Build Applications
the Way You Have Always
Wanted to Build Them
GO BUILD!
@ w e r n e r

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AWS Startup Insights Kuala Lumpur

Notes de l'éditeur

  1. Kfit Iflix Piktochart servisHero Maukerja
  2. Galaxy is a commercial meteor.js application platform Galaxy needed to be built to be accessible to developers without sophisticated devops backgrounds Galaxy needed to be scalable multi-tenant: 100k users, 1MM processes, 100M sessions Wanted to use containers for isolated user processes and fast spin-up Chose ECS because it was integrated with other parts of the AWS stack. Argument of no software to install and operate was compelling It supported multiple availability zones ECS got Galaxy faster to market than Kubernetes or Mesos ECS also provided the management API to write customer schedulers for AZ spread scheduling, rate limiting, and application based health checks. Galaxy provides the application state management and runs as a management overlay atop ECS through the ECS APIs. Through its custom scheduler, Galaxy schedules user applications atop containers running across ECS clusters
  3. A micro-services based architecture Backend batch processing systems are encapsulated in containers and Amazon ECS No extra time is spent installing software and maintaining a cluster INTRODUCTION: Welcome Jason Fischl (FISH-EL), VP of Engineering, Remind. To talk more about the benefits of containers and using Amazon ECS, please
  4. FireEye (Threat intelligence and analytics) FireEye designed a search architecture for their threat intelligence and analytics products that uses AWS Lambda functions to scan data stored in S3 and stream the results back to the query GUI. Benefits: Dramatically decreased costs from previous implementation which required an Elasticsearch cluster. There was minimal impact on performance and customer experience.   AdRoll (Ad retargeting platform) AdRoll stores over 300TB of new compressed data in S3 every month for different teams to access and analyze. Lambda allows AdRoll to notify and route data within minutes to each team every time new data is added to S3. Benefits: Lambda allows AdRoll to have a fast and automated way to deliver new data to different teams (e.g., machine learning, analytics, etc) .   Localytics (App analytics and marketing platform) Localytics processes in real-time billions of data points monthly. Lambda is used to process historical and live data stored in S3 and streamed from Kinesis Benefits: Eliminates the need to provision and manage infrastructure to run each microservice. Lambda automatically scales with the workload, processing billions of data points monthly. Lastly, it speeds the time to market for new features   Periscope (Real-time video broadcasting) When users broadcast on Periscope, the video is broken into 3 second chunks for Lambda to process and identify if there is pornographic content. Benefits: <Checking>   VidRoll (Video advertising platform) VidRoll initially used AWS Elastic Beanstalk to power the business logic and dynamic configuration for real-time video ad bidding across multiple exchanges. Amazon EC2 was also used for real-time video ad transcoding. VidRoll switched to Lambda to power the business logic and video transcoding. Benefits: Eliminates the need for developers to understand or worry about infrastructure. VidRoll has grown revenue by 10x without hiring additional technical resources to manage the volume because of the serverless architecture enabled by Lambda – the savings are passed on to their customers   Thomson Reuters (Media corporation) Thomson Reuters cleanses text and images from various news sources and dynamically generates content for distribution to publishers using Lambda. Lambda takes master object files (e.g., photo or text) and generates different pictures sizes and document formats (XML, JSON, binary) Benefits: Significant simplification of workflow and reduced time-to-market for new content types and formats   Associated Press (Nonprofit news agency) AP initially used Amazon EC2 instances to scrub and merge hundreds of smaller documents into a single document. AP switched to Lambda to power the document merge process. Benefits: Serverless and pay as you go nature allowed for simplicity and lowered costs from not having to keep around idle servers.   MLBAM (Interactive sports media platform) Uses Lambda to combine their baseball statistics feed with Twitter, videos, and images to create a live multimedia feed for their customers. Benefits: Increases the speed and reduces the cost of real-time stream processing.
  5. Global Expansion: Asia-Pacific/Tokyo ASK = Alexa Skills Kit
  6. Device and platform proliferation is Quickly overwhelming One approach? Focus on a smaller number of devices and platforms, but this limits audience and isn’t really a good approach? Or go out and buy multiple devices and run every platform version, and try to test your app across them? Not ideal either? Especially as new models with new platform versions arrive all the time
  7. Counterfeit goods: identify risk of fake products based on counterfeit serial numbers. Customer adoption models: targeting promotional campaigns more specifically based on likelihood of adoption for a customer: Amazon Student, Dash, Mom. Item classification: eliminate need for human classification of new grocery items, into categories and subcategories Sales lead ranking: Prioritize businesses who are likely to be successful deals on Amazon Local. Search intent: detect intent of query and route to the appropriate category Global demand estimation: estimate ASIN demand in new regions Customer support: improve quality and efficiency of customer support experience through social media processing, routing of new information/discovery calls to correct department, detect ‘where’s my stuff’ calls and route appropriately. Display ads: increase the click through rate of displayed ads by selecting the creative with the best performance for a customer segment: better experience for the customer as more relevant ads.
  8. Any Startup = Self Starter Package All others = Portfolio Package VC = higher than 1.5M raised = NO ACTIVATE