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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Simon Wang
Technical Account Manager, AWS Enterprise Support
June 7th, 2017
How to Use AWS Serverless Computing
to Develop Your First Voice Assistant
Agenda
• Why AWS Lambda?
• How Lambda works
• Hello, Amazon Alexa
• Demo
Why AWS Lambda?
Servers
How will the application
handle server hardware failure?
How can I control
access from my servers?
When should I decide to
scale out my servers?
When should I decide to
scale up my servers?
What size servers are
right for my budget?
How much remaining
capacity do my servers have?
(AAHHHHHHHHH!!)
Operations and management Scaling
Provisioning and utilization Availability and fault tolerance
Owning servers means dealing with ...
Key Differences Between Compute Offerings
VM Task Function
Service EC2 ECS Lambda
H/W OS Runtime
Unit of scale
Level of
abstraction
How Lambda works
AWS Lambda: Run code in response to events
FUNCTION SERVICES (ANYTHING)
Changes in
data state
Requests to
endpoints
Changes in
resource state
Node
Python
Java
C#
EVENT SOURCE
Amazon S3 Amazon
DynamoDB
Amazon Kinesis
AWS
CloudFormation
AWS CloudTrail Amazon
CloudWatch
Amazon Cognito
Amazon SNSAmazon
SES
Cron events
DATA STORES ENDPOINTS
CONFIGURATION REPOSITORIES EVENT/MESSAGE SERVICES
Example event sources that trigger AWS Lambda
… and a few more with more on the way!
AWS
CodeCommit
Amazon
API Gateway
Amazon
Alexa
AWS IoT AWS Step
Functions
Using AWS Lambda
Bring your own code
• Node.js, Java, Python,
C#
• Bring your own libraries
Simple resource model
• Select power rating from
128 MB to 1.5 GB
• CPU and network
allocated proportionately
Flexible use
• Synchronous or
asynchronous
• Integrated with other
AWS services
Programming model
• Use processes, threads,
/tmp, sockets normally
• AWS SDK built in
(Python and Node.js)
Automatic Scaling
• Each event is a Lambda request
• Lambda scales to match the
event rate
• Don’t worry about over or under
provisioning
• Pay only for what you use
Common Use Cases
Web
Applications
• Static
websites
• Complex web
apps
• Packages for
Flask and
Express
Data
Processing
• Real time
• MapReduce
• Batch
Chatbots
• Powering
Chatbot logic
Backends
• Apps &
services
• Mobile
• IoT
</></>
Amazon
Alexa
• Powering
voice-enabled
apps
• Alexa Skills
Kit
IT
Automation
• Policy engines
• Extending
AWS services
• Infrastructure
management
Hello, Amazon Alexa
What Can Alexa Do?
Alexa App and Skills
http://alexa.amazon.com
Introduce to Alexa Platform
Demo
Ask Alexa the Weather in Any City in Taiwan
How to Achieve It?
Technologies We Used
• Node.js and JavaScript
• AWS Lambda
• Amazon Alexa service and Alexa Skills Kit
(https://github.com/alexa/alexa-skills-kit-sdk-for-nodejs)
How to
Create an AWS Lambda Function
Code Snippet - weather.js
Publish this function for
fetching weather data
Invoke external WebService
Return weather info in TEXT
Code Snippet - lamdba.js
Include Alexa Skills Kit
Include weather.js module
Initial an Alexa handler
and register all handlers
Open Skill
Stop Skill
About weather
Recipe for pork
Say a joke
Code Snippet - lamdba.js – Cont.
Launch Skill function
Weather Intent function
Retrieve Slots (City Name)
Get weather information by
City Name
Speak out (emit)
weather information
Packing Node.js Function
#For MacOS
zip -r -q dist/lambda.zip ./ -x "FILE_OR_DIR_1" "FILE_OR_DIR_2"
AWS-SDK can be excluded!!
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
How to
Integrate Alexa Skill with Lambda
Amazon Developer Console (Portal)
使用 AWS 無伺服器運算服務打造您的第一個語音助理
使用 AWS 無伺服器運算服務打造您的第一個語音助理
Slot (City Name)
使用 AWS 無伺服器運算服務打造您的第一個語音助理
Demo
Updating Lambda Function
No servers to provision
or manage
Scales with usage
Never pay for idle Availability and fault
tolerance built in
Benefits of Lambda and Serverless Compute
AWS Lambda Pricing
• Charged by
• Request count
($0.2 per 1m requests)
• Compute
($0.00001667 per GB*second)
• Buy compute time in
100 ms increments
• No minimums fees
• No per-device fees
Free Tier
1 million requests and 400,000
GB*second of compute every month,
every customer
Example
• 256MB of memory
• Executed 3 million times per month
• It ran for 1 second each time
Around $6.2 per month!
https://s3.amazonaws.com/lambda-tools/pricing-calculator.html
Takeaways
• Serverless doesn’t actually mean that we have no
servers. It means that you don’t need to deal with them
anymore and focus on your business logic
• Many use cases can go Serverless computing
• Web, data processing, interactive backends, Chatbots, Alexa,
auto managing AWS resources
• Bots development on AWS is easy and agile
• Serverless ecosystem continues to grow
• Tooling, languages, and application capabilities
Thank you!
Next steps
1. Go to console.aws.amazon.com/lambda and create your first
Lambda function
2. Stay up to date with AWS Lambda on the Compute blog and check
out aws.amazon.com/lambda for scenarios and customer stories.
3. See https://aws.amazon.com/serverless for reference
architectures, samples, and links to more content.
4. Send us your questions, comments, and feedback on the AWS
Lambda Forums.

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使用 AWS 無伺服器運算服務打造您的第一個語音助理

  • 1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Simon Wang Technical Account Manager, AWS Enterprise Support June 7th, 2017 How to Use AWS Serverless Computing to Develop Your First Voice Assistant
  • 2. Agenda • Why AWS Lambda? • How Lambda works • Hello, Amazon Alexa • Demo
  • 4. Servers How will the application handle server hardware failure? How can I control access from my servers? When should I decide to scale out my servers? When should I decide to scale up my servers? What size servers are right for my budget? How much remaining capacity do my servers have? (AAHHHHHHHHH!!)
  • 5. Operations and management Scaling Provisioning and utilization Availability and fault tolerance Owning servers means dealing with ...
  • 6. Key Differences Between Compute Offerings VM Task Function Service EC2 ECS Lambda H/W OS Runtime Unit of scale Level of abstraction
  • 8. AWS Lambda: Run code in response to events FUNCTION SERVICES (ANYTHING) Changes in data state Requests to endpoints Changes in resource state Node Python Java C# EVENT SOURCE
  • 9. Amazon S3 Amazon DynamoDB Amazon Kinesis AWS CloudFormation AWS CloudTrail Amazon CloudWatch Amazon Cognito Amazon SNSAmazon SES Cron events DATA STORES ENDPOINTS CONFIGURATION REPOSITORIES EVENT/MESSAGE SERVICES Example event sources that trigger AWS Lambda … and a few more with more on the way! AWS CodeCommit Amazon API Gateway Amazon Alexa AWS IoT AWS Step Functions
  • 10. Using AWS Lambda Bring your own code • Node.js, Java, Python, C# • Bring your own libraries Simple resource model • Select power rating from 128 MB to 1.5 GB • CPU and network allocated proportionately Flexible use • Synchronous or asynchronous • Integrated with other AWS services Programming model • Use processes, threads, /tmp, sockets normally • AWS SDK built in (Python and Node.js)
  • 11. Automatic Scaling • Each event is a Lambda request • Lambda scales to match the event rate • Don’t worry about over or under provisioning • Pay only for what you use
  • 12. Common Use Cases Web Applications • Static websites • Complex web apps • Packages for Flask and Express Data Processing • Real time • MapReduce • Batch Chatbots • Powering Chatbot logic Backends • Apps & services • Mobile • IoT </></> Amazon Alexa • Powering voice-enabled apps • Alexa Skills Kit IT Automation • Policy engines • Extending AWS services • Infrastructure management
  • 15. Alexa App and Skills http://alexa.amazon.com
  • 16. Introduce to Alexa Platform
  • 17. Demo Ask Alexa the Weather in Any City in Taiwan
  • 19. Technologies We Used • Node.js and JavaScript • AWS Lambda • Amazon Alexa service and Alexa Skills Kit (https://github.com/alexa/alexa-skills-kit-sdk-for-nodejs)
  • 20. How to Create an AWS Lambda Function
  • 21. Code Snippet - weather.js Publish this function for fetching weather data Invoke external WebService Return weather info in TEXT
  • 22. Code Snippet - lamdba.js Include Alexa Skills Kit Include weather.js module Initial an Alexa handler and register all handlers Open Skill Stop Skill About weather Recipe for pork Say a joke
  • 23. Code Snippet - lamdba.js – Cont. Launch Skill function Weather Intent function Retrieve Slots (City Name) Get weather information by City Name Speak out (emit) weather information
  • 24. Packing Node.js Function #For MacOS zip -r -q dist/lambda.zip ./ -x "FILE_OR_DIR_1" "FILE_OR_DIR_2" AWS-SDK can be excluded!!
  • 37. How to Integrate Alexa Skill with Lambda
  • 44. No servers to provision or manage Scales with usage Never pay for idle Availability and fault tolerance built in Benefits of Lambda and Serverless Compute
  • 45. AWS Lambda Pricing • Charged by • Request count ($0.2 per 1m requests) • Compute ($0.00001667 per GB*second) • Buy compute time in 100 ms increments • No minimums fees • No per-device fees Free Tier 1 million requests and 400,000 GB*second of compute every month, every customer Example • 256MB of memory • Executed 3 million times per month • It ran for 1 second each time Around $6.2 per month! https://s3.amazonaws.com/lambda-tools/pricing-calculator.html
  • 46. Takeaways • Serverless doesn’t actually mean that we have no servers. It means that you don’t need to deal with them anymore and focus on your business logic • Many use cases can go Serverless computing • Web, data processing, interactive backends, Chatbots, Alexa, auto managing AWS resources • Bots development on AWS is easy and agile • Serverless ecosystem continues to grow • Tooling, languages, and application capabilities
  • 48. Next steps 1. Go to console.aws.amazon.com/lambda and create your first Lambda function 2. Stay up to date with AWS Lambda on the Compute blog and check out aws.amazon.com/lambda for scenarios and customer stories. 3. See https://aws.amazon.com/serverless for reference architectures, samples, and links to more content. 4. Send us your questions, comments, and feedback on the AWS Lambda Forums.