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Getting to Scale
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With AWS, scale from one instance…
…to thousands

Fully automated!
How do I scale my architecture to
support my first 10M users?
“Think Big, Start Small, Scale Fast”
Eric Ries, author of NY Times
bestseller “The Lean Startup”
Idea

MVP

Scale

Profitability

01

02

03

04
Getting to Scale
By building a scalable Architecture to
support your first 10M users
1. Dev & Test

3. Beta Release

2. Alpha Release
Production 1.0
Architecture
Database Options
Self-Managed

Database Server
on Amazon EC2
Your choice of
database running on
Amazon EC2
Bring Your Own
License (BYOL)

Fully-Managed

Amazon RDS
Relational Database
as a managed
service
Flexible licensing:
BYOL or License
Included

Amazon
DynamoDB
Managed NoSQL
database service
using SSD storage

Seamless scalability
Zero administration
But how do I choose what
DB technology I need?

SQL? NoSQL?
Some folks won’t like this.
But…
Start with SQL databases
But, but, but, but…
No. You don’t.
Start with SQL databases
Why SQL?
Established and well worn technology
Lots of existing code, communities, books, tools, etc

Clear patterns to scalability
You aren’t going to break SQL DBs in your first 10
million users. No really, you won’t
Amazon Relational Database Service (RDS)
Feature
Platform support

Preconfigured
Automated patching

Details
Create MySQL, SQL Server and Oracle

Get started instantly with sensible default
settings
Keep your database platform up to date
automatically

Backups

• Database-as-a-Service
• No need to install or manage database
instances
• Scalable and fault tolerant configurations

Automatic backups and point in time
recovery using snapshots
Manual DB snapshots

Failover

Automated failover to slave hosts in event of
a failure

Replication

Easily create read-replicas of your data and
seamlessly replicate data across availability
zones
Auto-Scaling
Automatic resizing of
compute clusters based on
demand
Feature

Amazon
CloudWatch

Trigger auto-scaling policy

Details

Control

Define minimum and maximum instance pool
sizes and when scaling and cool down occurs.

Integrated to Amazon
CloudWatch

Use metrics gathered by CloudWatch to drive
scaling.

Instance types

Run Auto Scaling for On-Demand and Spot
Instances. Compatible with VPC.

as-create-auto-scaling-group MyGroup
--launch-configuration MyConfig
--availability-zones us-east-1a
--min-size 4
--max-size 200
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
Production 1.0
Architecture
Production 1.0 Architecture
Well-designed, 2 Tier architecture

Highly Available due to Multiple Availability Zone
Load Balancing & Auto-Scaling for full scalability

Fully managed Database included
Capable of serving >10K-100Ks users
BUT…
Production 1.0 Architecture
Wasted server capacity for static content
Reliability and durability are not yet optimal
End-user experience could be improved thru
offloading & caching
SO…
Let’s add
Simple Storage Service (S3)
CloudFront
to optimize the end-user experience
Simple Storage Service (S3)
Feature
Flexible object store
Access control
Server-side encryption
Multi-part uploads
Object versioning
Object expiry

Durable storage, any object
99.999999999% durability of objects
Unlimited storage of objects of any type
Up to 5TB size per object

Access logging
Web content hosting
Notifications
Import/Export

Details
Buckets act like drives, folder structures within
Granular control over object permissions
256bit AES encryption of objects
Improved throughput & control
Archive old objects and version new ones
Automatically remove old objects
Full audit log of bucket/object actions
Serve content as web site with built in page handling
Receive notifications on key events
Physical device import/export service
CloudFront
• World-wide content distribution
network
• Easily distribute content to end
users with low latency, high data
transfer speeds, and no
commitments
Feature
Fast
Integrated with other services
Dynamic content
Streaming

Details
Multiple world-wide edge locations to serve content as close to your users as possible
Works seamlessly with S3 and EC2 origin servers
Supports static and dynamic content from origin servers
Supports rtmp from S3 and includes support for live streaming from Adobe FMS and Microsoft
Media Server
Production 1.2
Architecture
Production 1.2 Architecture
Well-designed, 2 Tier architecture
Highly Available due to Multiple Availability Zone

Load Balancing & Auto-Scaling for full scalability
Fully managed Database included
Static content stored in durable, consistent way
Improved end-user experience through CDN
Capable of serving >100K-1M+ users
BUT…
Production 1.2 Architecture
You are now at Scale…
…with lots of data…
…and need to optimize continuously.

But how and where?
SO…
Let’s add
Big Data
for analytics of web, mobile, gaming,
and log data
Multiple managed AWS services for Big Data
Elastic MapReduce (EMR)
• Managed, elastic Hadoop cluster
• Integrates with S3 & DynamoDB
• Leverage Hive & Pig analytics scripts
Feature
Scalable

Integrated with other
services
Comprehensive

Cost effective
Monitoring

Details
Use as many or as few compute instances running Hadoop as you want. Modify the number of
instances while your job flow is running
Works seamlessly with S3 as origin and output. Integrates with DynamoDB
Supports languages such as Hive and Pig for defining analytics, and allows complex definitions in
Cascading, Java, Ruby, Perl, Python, PHP, R, or C++
Works with Spot instance types
Monitor job flows from with the management console
Foursquare…

…generates a lot of Data

Founded in 2009
112M in Venture Capital
33 million users
1.3 million businesses using the service

3.5 billion check-ins
15M+ venues,
Terabytes of log data
Uses EMR for
Evaluation of new features
Machine learning
Exploratory analysis
Daily customer usage reporting
Long-term trend analysis
Benefits of EMR
Ease-of-Use
“We have decreased the processing time for urgent data-analysis”

Flexibility
To deal with changing requirements & dynamically expand reporting clusters

Costs
“We have reduced our analytics costs by over 50%”
Production 1.3
Architecture
Production 1.3 Architecture
Well-designed, 2 Tier architecture
Highly Available due to Multiple Availability Zone
Load Balancing & Auto-Scaling for full scalability
Static content stored in durable, consistent way

Improved end-user experience through CDN

Big Data analytics built in for continuous optimization

Capable of serving >1m-10M+ users
DEMO
Getting to Scale
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법
Thank You
aws.amazon.com/start-ups
amzn.to/1heA2Ei

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갑작스러운 유저의 수요 증가에 현명하게 대처하는 방법

  • 2. 503 Service Temporarily Unavailable The server is temporarily unable to service your request due to maintenance downtime or capacity problems. Please try again later.
  • 3. With AWS, scale from one instance…
  • 5. How do I scale my architecture to support my first 10M users?
  • 6. “Think Big, Start Small, Scale Fast” Eric Ries, author of NY Times bestseller “The Lean Startup”
  • 8. Getting to Scale By building a scalable Architecture to support your first 10M users
  • 9. 1. Dev & Test 3. Beta Release 2. Alpha Release
  • 11. Database Options Self-Managed Database Server on Amazon EC2 Your choice of database running on Amazon EC2 Bring Your Own License (BYOL) Fully-Managed Amazon RDS Relational Database as a managed service Flexible licensing: BYOL or License Included Amazon DynamoDB Managed NoSQL database service using SSD storage Seamless scalability Zero administration
  • 12. But how do I choose what DB technology I need? SQL? NoSQL?
  • 13. Some folks won’t like this. But…
  • 14. Start with SQL databases
  • 15. But, but, but, but…
  • 17. Start with SQL databases
  • 18. Why SQL? Established and well worn technology Lots of existing code, communities, books, tools, etc Clear patterns to scalability You aren’t going to break SQL DBs in your first 10 million users. No really, you won’t
  • 19. Amazon Relational Database Service (RDS) Feature Platform support Preconfigured Automated patching Details Create MySQL, SQL Server and Oracle Get started instantly with sensible default settings Keep your database platform up to date automatically Backups • Database-as-a-Service • No need to install or manage database instances • Scalable and fault tolerant configurations Automatic backups and point in time recovery using snapshots Manual DB snapshots Failover Automated failover to slave hosts in event of a failure Replication Easily create read-replicas of your data and seamlessly replicate data across availability zones
  • 20. Auto-Scaling Automatic resizing of compute clusters based on demand Feature Amazon CloudWatch Trigger auto-scaling policy Details Control Define minimum and maximum instance pool sizes and when scaling and cool down occurs. Integrated to Amazon CloudWatch Use metrics gathered by CloudWatch to drive scaling. Instance types Run Auto Scaling for On-Demand and Spot Instances. Compatible with VPC. as-create-auto-scaling-group MyGroup --launch-configuration MyConfig --availability-zones us-east-1a --min-size 4 --max-size 200
  • 30. Production 1.0 Architecture Well-designed, 2 Tier architecture Highly Available due to Multiple Availability Zone Load Balancing & Auto-Scaling for full scalability Fully managed Database included Capable of serving >10K-100Ks users
  • 32. Production 1.0 Architecture Wasted server capacity for static content Reliability and durability are not yet optimal End-user experience could be improved thru offloading & caching
  • 33. SO…
  • 34. Let’s add Simple Storage Service (S3) CloudFront to optimize the end-user experience
  • 35. Simple Storage Service (S3) Feature Flexible object store Access control Server-side encryption Multi-part uploads Object versioning Object expiry Durable storage, any object 99.999999999% durability of objects Unlimited storage of objects of any type Up to 5TB size per object Access logging Web content hosting Notifications Import/Export Details Buckets act like drives, folder structures within Granular control over object permissions 256bit AES encryption of objects Improved throughput & control Archive old objects and version new ones Automatically remove old objects Full audit log of bucket/object actions Serve content as web site with built in page handling Receive notifications on key events Physical device import/export service
  • 36. CloudFront • World-wide content distribution network • Easily distribute content to end users with low latency, high data transfer speeds, and no commitments Feature Fast Integrated with other services Dynamic content Streaming Details Multiple world-wide edge locations to serve content as close to your users as possible Works seamlessly with S3 and EC2 origin servers Supports static and dynamic content from origin servers Supports rtmp from S3 and includes support for live streaming from Adobe FMS and Microsoft Media Server
  • 38. Production 1.2 Architecture Well-designed, 2 Tier architecture Highly Available due to Multiple Availability Zone Load Balancing & Auto-Scaling for full scalability Fully managed Database included Static content stored in durable, consistent way Improved end-user experience through CDN Capable of serving >100K-1M+ users
  • 40. Production 1.2 Architecture You are now at Scale… …with lots of data… …and need to optimize continuously. But how and where?
  • 41. SO…
  • 42. Let’s add Big Data for analytics of web, mobile, gaming, and log data
  • 43. Multiple managed AWS services for Big Data
  • 44. Elastic MapReduce (EMR) • Managed, elastic Hadoop cluster • Integrates with S3 & DynamoDB • Leverage Hive & Pig analytics scripts Feature Scalable Integrated with other services Comprehensive Cost effective Monitoring Details Use as many or as few compute instances running Hadoop as you want. Modify the number of instances while your job flow is running Works seamlessly with S3 as origin and output. Integrates with DynamoDB Supports languages such as Hive and Pig for defining analytics, and allows complex definitions in Cascading, Java, Ruby, Perl, Python, PHP, R, or C++ Works with Spot instance types Monitor job flows from with the management console
  • 45. Foursquare… …generates a lot of Data Founded in 2009 112M in Venture Capital 33 million users 1.3 million businesses using the service 3.5 billion check-ins 15M+ venues, Terabytes of log data
  • 46. Uses EMR for Evaluation of new features Machine learning Exploratory analysis Daily customer usage reporting Long-term trend analysis
  • 47. Benefits of EMR Ease-of-Use “We have decreased the processing time for urgent data-analysis” Flexibility To deal with changing requirements & dynamically expand reporting clusters Costs “We have reduced our analytics costs by over 50%”
  • 49. Production 1.3 Architecture Well-designed, 2 Tier architecture Highly Available due to Multiple Availability Zone Load Balancing & Auto-Scaling for full scalability Static content stored in durable, consistent way Improved end-user experience through CDN Big Data analytics built in for continuous optimization Capable of serving >1m-10M+ users

Notas del editor

  1. Amazon Web Services allows you to scale from one EC2 Instance to [Click]
  2. to many thousands. Just dial up and down as required. The Power of Elasticity…[Click] And all this is fully automated without you loosing sleep [Click]
  3. TIME TO MARKETNeed to launch the business quicklyLong development cycles and high costsInability to experiment and test the hypotheses that underpin the businessSCALABILITYUnpredictable demandNeed to deal with spiky traffic or sudden increase in usersNeed to scale out to cover new markets / regionsCOST & REVENUENo CAPEX budget Inability to forecast demand & commit long term contractsNeed to run a lean business & focus on generating revenue
  4. Let us see how AWS helps to scale your Web Application to support 10’s of Millions of users. Start Small and grow big, build an architecture that scales at each progressive stage.
  5. After a few feedbacks and tinkering for a better customer experience we have finally gone live and this is our Production 1.0 Architecture. If you notice we have now enabled the Multi AZ feature in our Database. All it takes is a single click or an API call to make your Database highly available Over the course of the last fee slides we covered how you can scale progressively through various stages of your application development and deployment. This again underlines the ability to scale seamlessly and pay for only what you use and provision when you need to.
  6. Amazon EC2 enables our partners and customers to build and customize Amazon Machine Images (AMIs) with software based on your needs. These are the database servers available for use today within Amazon EC2: Oracle Database 11g,Microsoft SQL Server Standard,MySQL Enterprise,IBM DB2,IBM Informix Dynamic Server. http://aws.amazon.com/ec2/Amazon Relational Database Service (Amazon RDS) is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS gives you access to the capabilities of a familiar MySQL or Oracle database. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call. In addition, Amazon RDS for MySQL makes it easy to use replication to enhance availability and reliability for production databases and to scale out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. http://aws.amazon.com/rds/Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. With a few clicks in the AWS Management Console, customers can launch a new Amazon DynamoDB database table, scale up or down their request capacity for the table without downtime or performance degradation, and gain visibility into resource utilization and performance metrics. Amazon DynamoDB enables customers to offload the administrative burdens of operating and scaling distributed databases to AWS, so they don’t have to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling. http://aws.amazon.com/dynamodb/Amazon Redshift is a managed data warehouse service in the Amazon cloud. Redshift is optimized for data sets ranging from 100’s of GB to peta-byte scale. It uses columnar storage to compress and accelerate scan operations against large data sets, while providing a SQL interface for easy integration with reporting and query tools. All Redshift operations occur as massively parallel processes, including data loading, query, resizing, backup and restore. Redshift users can provision a cluster and load data directly from S3 in a few minutes, and be assured that their data is protected by VPC and encryption, both at rest and in-flight (via SSL).
  7. Founded in 2004, raised 56M in Venture Capital, went IPO