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© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Abhishek Singh, Senior Product Manager – AWS Elastic
Beanstalk
7/29/2015
Deploying and Scaling Web
Application with AWS Elastic
Beanstalk (EB)
After this session, you should be able to:
• Understand the benefits of using AWS Elastic Beanstalk vs. do it yourself
• Deploy a sample Node.js application using the Elastic Beanstalk command
line interface
• Use tags for cost management
• Modify application stack configuration and extend your application to use
additional AWS resources (e.g.: DynamoDB, SNS, etc.)
• Debug, load test, and scale the sample application to handle millions of web
requests
• Use deployment options available for zero downtime deployments (in-place
and blue/green)
• Set up alarms to monitor you running applications
AWS Elastic Beanstalk vs. Do It Yourself
• Preconfigured Infrastructure
• Single Instance (Dev, Low Cost)
• Load Balanced, Auto Scaling (Production)
• Web Server & Worker tiers
• Elastic Beanstalk provisions necessary
infrastructure resources such as the
load balancer, auto scaling group,
security groups, database (optional),
etc.
• Provides a unique domain name for
your application
(e.g.: youapp.elasticbeanstalk.com)
AWS Elastic Beanstalk vs. Do It Yourself
Your code
HTTP Server
Application Server
Language Interpreter
Operating System
Host
Elastic Beanstalk configures
each EC2 instance in your
environment with the
components necessary to run
applications for the selected
platform. No more worrying
about logging into instances to
install and configure you
application stack.
Focus on building your
application
Provided by you
Provided and managed by AWS Elastic Beanstalk (EB)
Deployment Options
1. Via AWS Management Console
2. Via Git / EB CLI
3. Via AWS Toolkit for Eclipse and Visual
Studio IDE
$ eb deploy
Deployment Configuration
Region01
Stack (container) type02
Single Instance
Load Balanced with
auto-scaling
03 OR
Database (RDS)04 Optional
Your code
Deploy Sample Node.js Application
Initial application deployment workflow
$ git clone
https://github.com/awslabs/eb-
node-express-sample.git
Download sample application02
$ eb init
Create your Elastic Beanstalk app03
Follow the prompts to configure the
environment
04
05 Create the resources and launch the
application
$ eb create
$ pip install --upgrade awsebcli
Install the AWS Elastic Beanstalk
command line interface (EB CLI)
01
Update Sample Node.js Application
Update application workflow
Update your code01
$ git add .
$ git commit –m “v2.0”
$ eb deploy
Add & commit code to repository02
Open application once deployment
completes.
03
$ eb open
Demo
Sample Application Details
How to configure/customize an environment using ebextensions
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/customize-containers-ec2.html
options.config
option_settings:
aws:elasticbeanstalk:customoption:
AlarmEmail: "nobody@amazon.com"
aws:elasticbeanstalk:application:environment:
THEME: "flatly"
AWS_REGION: '`{ "Ref" : "AWS::Region"}`'
STARTUP_SIGNUP_TABLE: '`{ "Ref" : "StartupSignupsTable"}`'
NEW_SIGNUP_TOPIC: '`{ "Ref" : "NewSignupTopic"}`'
aws:elasticbeanstalk:container:nodejs:
ProxyServer: nginx
aws:elasticbeanstalk:container:nodejs:staticfiles:
/static: /static
Sample Application Details
How to add additional AWS resources (e.g.: DynamoDB, SNS, SQS, etc.) using
ebextensions
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/environment-resources.html
resources.config
Resources:
StartupSignupsTable:
Type: AWS::DynamoDB::Table
Properties:
KeySchema:
HashKeyElement: {AttributeName: email, AttributeType: S}
ProvisionedThroughput: {ReadCapacityUnits: 1, WriteCapacityUnits: 1}
NewSignupQueue:
Type: AWS::SQS::Queue
NewSignupTopic:
Type: AWS::SNS::Topic
Properties:
Subscription:
- Endpoint:
Fn::GetOptionSetting: {DefaultValue: nobody@amazon.com, OptionName: NewSignupEmail}
Protocol: email
- Endpoint:
Fn::GetAtt: [NewSignupQueue, Arn]
Protocol: sqs
resources.config (cont.)
AllowSNS2SQSPolicy:
Type: AWS::SQS::QueuePolicy
Properties:
PolicyDocument:
Id: PublicationPolicy
Statement:
- Action: ['sqs:SendMessage']
Condition:
ArnEquals:
aws:SourceArn: {Ref: NewSignupTopic}
Effect: Allow
Principal: {AWS: '*'}
Resource:
Fn::GetAtt: [NewSignupQueue, Arn]
Sid: Allow-SNS-SendMessage
Version: '2008-10-17'
Queues:
- {Ref: NewSignupQueue}
Best Practices
Tag your environments
• Makes it easy to find resources belonging to a given
environment.
• Can be used to monitor costs associated with a given
environment and/or application.
• AWS Elastic Beanstalk automatically tags environments
with:
• Environment Name
• Environment ID
Testing/Tuning Your Application
• Make sure to load test your application. Set auto-scaling
minimum and maximum to 1 while load testing. This
ensures that you test and understand how your
application degrades under load.
• Configure auto-scaling trigger to optimize performance
metric (e.g.: latency, number of web request per second,
etc.).
• Tune backend (DynamoDB, RDS, etc.) throughput for
optimal performance leaving enough headroom.
Deployment Options
Blue/Green deployments
Pros:
• Fast rollback as environment running the previous version has not been modified in
any way.
• Ensures no state build up on environments.
Cons:
• Longer deployment times (2-5 min.) as new environment must be created.
• Clients (i.e.: mobile devices) may cache DNS addresses and not respect DNS TTL.
This results in staggered/non-deterministic traffic rollover to new environment.
Deployment Options
Rolling deployments
Pros:
• Fast deployment times (20-60 sec.)
Cons:
• Slower rollback as previous application version must be re-deployed.
• Possibility of state build up on long running environments.
Metrics & Alarms
• Understand metrics available for your environment and
what they mean.
• Setup alarms to automatically monitor critical metrics
and send notifications when metrics are outside normal
operating range.
Demo
AWS July Webinar Series-Deploying and Scaling Web Application with AWS Elastic Beanstalk

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AWS July Webinar Series-Deploying and Scaling Web Application with AWS Elastic Beanstalk

  • 1. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Abhishek Singh, Senior Product Manager – AWS Elastic Beanstalk 7/29/2015 Deploying and Scaling Web Application with AWS Elastic Beanstalk (EB)
  • 2. After this session, you should be able to: • Understand the benefits of using AWS Elastic Beanstalk vs. do it yourself • Deploy a sample Node.js application using the Elastic Beanstalk command line interface • Use tags for cost management • Modify application stack configuration and extend your application to use additional AWS resources (e.g.: DynamoDB, SNS, etc.) • Debug, load test, and scale the sample application to handle millions of web requests • Use deployment options available for zero downtime deployments (in-place and blue/green) • Set up alarms to monitor you running applications
  • 3. AWS Elastic Beanstalk vs. Do It Yourself • Preconfigured Infrastructure • Single Instance (Dev, Low Cost) • Load Balanced, Auto Scaling (Production) • Web Server & Worker tiers • Elastic Beanstalk provisions necessary infrastructure resources such as the load balancer, auto scaling group, security groups, database (optional), etc. • Provides a unique domain name for your application (e.g.: youapp.elasticbeanstalk.com)
  • 4. AWS Elastic Beanstalk vs. Do It Yourself Your code HTTP Server Application Server Language Interpreter Operating System Host Elastic Beanstalk configures each EC2 instance in your environment with the components necessary to run applications for the selected platform. No more worrying about logging into instances to install and configure you application stack. Focus on building your application Provided by you Provided and managed by AWS Elastic Beanstalk (EB)
  • 5. Deployment Options 1. Via AWS Management Console 2. Via Git / EB CLI 3. Via AWS Toolkit for Eclipse and Visual Studio IDE $ eb deploy
  • 6. Deployment Configuration Region01 Stack (container) type02 Single Instance Load Balanced with auto-scaling 03 OR Database (RDS)04 Optional Your code
  • 7. Deploy Sample Node.js Application Initial application deployment workflow $ git clone https://github.com/awslabs/eb- node-express-sample.git Download sample application02 $ eb init Create your Elastic Beanstalk app03 Follow the prompts to configure the environment 04 05 Create the resources and launch the application $ eb create $ pip install --upgrade awsebcli Install the AWS Elastic Beanstalk command line interface (EB CLI) 01
  • 8. Update Sample Node.js Application Update application workflow Update your code01 $ git add . $ git commit –m “v2.0” $ eb deploy Add & commit code to repository02 Open application once deployment completes. 03 $ eb open
  • 10. Sample Application Details How to configure/customize an environment using ebextensions https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/customize-containers-ec2.html
  • 11. options.config option_settings: aws:elasticbeanstalk:customoption: AlarmEmail: "nobody@amazon.com" aws:elasticbeanstalk:application:environment: THEME: "flatly" AWS_REGION: '`{ "Ref" : "AWS::Region"}`' STARTUP_SIGNUP_TABLE: '`{ "Ref" : "StartupSignupsTable"}`' NEW_SIGNUP_TOPIC: '`{ "Ref" : "NewSignupTopic"}`' aws:elasticbeanstalk:container:nodejs: ProxyServer: nginx aws:elasticbeanstalk:container:nodejs:staticfiles: /static: /static
  • 12. Sample Application Details How to add additional AWS resources (e.g.: DynamoDB, SNS, SQS, etc.) using ebextensions https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/environment-resources.html
  • 13. resources.config Resources: StartupSignupsTable: Type: AWS::DynamoDB::Table Properties: KeySchema: HashKeyElement: {AttributeName: email, AttributeType: S} ProvisionedThroughput: {ReadCapacityUnits: 1, WriteCapacityUnits: 1} NewSignupQueue: Type: AWS::SQS::Queue NewSignupTopic: Type: AWS::SNS::Topic Properties: Subscription: - Endpoint: Fn::GetOptionSetting: {DefaultValue: nobody@amazon.com, OptionName: NewSignupEmail} Protocol: email - Endpoint: Fn::GetAtt: [NewSignupQueue, Arn] Protocol: sqs
  • 14. resources.config (cont.) AllowSNS2SQSPolicy: Type: AWS::SQS::QueuePolicy Properties: PolicyDocument: Id: PublicationPolicy Statement: - Action: ['sqs:SendMessage'] Condition: ArnEquals: aws:SourceArn: {Ref: NewSignupTopic} Effect: Allow Principal: {AWS: '*'} Resource: Fn::GetAtt: [NewSignupQueue, Arn] Sid: Allow-SNS-SendMessage Version: '2008-10-17' Queues: - {Ref: NewSignupQueue}
  • 16. Tag your environments • Makes it easy to find resources belonging to a given environment. • Can be used to monitor costs associated with a given environment and/or application. • AWS Elastic Beanstalk automatically tags environments with: • Environment Name • Environment ID
  • 17. Testing/Tuning Your Application • Make sure to load test your application. Set auto-scaling minimum and maximum to 1 while load testing. This ensures that you test and understand how your application degrades under load. • Configure auto-scaling trigger to optimize performance metric (e.g.: latency, number of web request per second, etc.). • Tune backend (DynamoDB, RDS, etc.) throughput for optimal performance leaving enough headroom.
  • 18. Deployment Options Blue/Green deployments Pros: • Fast rollback as environment running the previous version has not been modified in any way. • Ensures no state build up on environments. Cons: • Longer deployment times (2-5 min.) as new environment must be created. • Clients (i.e.: mobile devices) may cache DNS addresses and not respect DNS TTL. This results in staggered/non-deterministic traffic rollover to new environment.
  • 19. Deployment Options Rolling deployments Pros: • Fast deployment times (20-60 sec.) Cons: • Slower rollback as previous application version must be re-deployed. • Possibility of state build up on long running environments.
  • 20. Metrics & Alarms • Understand metrics available for your environment and what they mean. • Setup alarms to automatically monitor critical metrics and send notifications when metrics are outside normal operating range.
  • 21. Demo