Deep Dive on AWS ChaliceDeep Dive on AWS Chalice A Serverless Microframework for Python James...

T O K Y O2

T O K Y O

4Deep Dive on AWS ChaliceA Serverless Microframework for Python

James Saryerwinnie | @jsaryerSenior Software Development EngineerAmazon Web Services

Agenda

Overview of Chalice

Deployment

Python Packaging

AWS IAM Policy Generation

Chalice is a microframework for writing serverless apps in python

Framework for creating serverless applications

CLI for deployment and packaging

Overview

from chalice import Chalice

app = Chalice(app_name='helloworld')

@app.route('/')def index():

return {'hello': 'world'}

Overview

$ chalice deploy

https://dfut7pnl47/dev/

Overview

$ chalice deploy

https://dfut7pnl47/dev/

Framework CLI

More Chalice Decorators@app.on_s3_event('mybucket')def resize_image(event):

@app.schedule('rate(5 minutes)')def rate_handler(event):

@app.on_sns_message(topic='mytopic')def handler(event):

@app.on_sqs_message(queue='myqueue')def handler(event):

@app.lambda_function()def handler(event, context):

@app.route('/resource/{value}',methods=['PUT'])

def resource(value):pass

@app.authorizer(ttl_seconds=30)def jwt_auth(auth_request):

@app.on_ws_message()def websocket_msg(event):

Chalice deploy

AWS Lambda

Amazon API Gateway

AWS Cloud

Permissions

Swagger Doc

Deployment ZIP

@app.route('/')

def index():

Chalice deploy

AWS Cloud

AWS Lambda

Amazon API Gateway

Permissions

App Code

Deployment ZIP

Swagger Doc

Warning about Internals

Disclaimer: these are implementation details

The goal is to better understand how Chalice can help you

Websocket App

import boto3

app = Chalice(app_name='websocket')

app.experimental_feature_flags.update([

'WEBSOCKETS'

app.websocket_api.session =boto3.Session()

@app.on_ws_connect()

def connect(event):

print('New connection: %s’ %

event.connection_id)

@app.on_ws_message()

def message(event):

print('%s: %s' % (event.connection_id,

event.body))

Websocket App

import boto3

'WEBSOCKETS'

def connect(event):

def message(event):

event.body))

Websocket App

import boto3

'WEBSOCKETS'

def connect(event):

def message(event):

event.body))

Application Graph Builder

app = Chalice(app_name='one')

@app.lambda_function()

def handler(event, context):

return {}

Dependency Order

Local Build

Planner

Additional Plan Instructions

Executor

Benefits of this Architecture

DECOUPLED

Each stage is independent which makes it easy to test and optimize each stage without affecting other stages.

ALTERNATIVES

You can swap out components with alternate implementations, supporting other deployment backends.

CONTROL IO

IO only happens a specific stages in the pipeline. We can implement features such as dry run and fast feedback loops.

.├── app.py└── requirements.txt

boto3==1.9.188botocore==1.12.204jmespath==0.9.3cryptography==2.7

.├── app.py└── requirements.txt

boto3==1.9.188botocore==1.12.204jmespath==0.9.3cryptography==2.7

pip install -r requirements.txt

$ aws lambda create-function ¥--function-name Hello ¥--role-name MyApp ¥--runtime python3.6 ¥--handler app.handler ¥--zip-file fileb://app.zip

deploy.zip

$ aws lambda create-function ¥--function-name Hello ¥--role-name MyApp ¥--runtime python3.6 ¥--handler app.handler ¥--zip-file fileb://app.zip

deploy.zip

Chalice Runtime

Your Application Code

Third Party Package Dependencies

deploy.zip

Chalice Runtime

deploy.zip

Chalice Runtime

$ file cryptography/hazmat/bindings/_openssl.so

hazmat/bindings/_openssl.so: Mach-O universal binary with 2 architectures:

[i386:Mach-O bundle i386] [x86_64:Mach-O 64-bit bundle x86_64]

bindings/_openssl.so (for i386): Mach-O bundle i386

bindings/_openssl.so (for x86_64): Mach-O 64-bit bundle x86_64

pip install cryptography

$ file cryptography/hazmat/bindings/_openssl.so

hazmat/bindings/_openssl.so: Mach-O universal binary with 2 architectures:

[i386:Mach-O bundle i386] [x86_64:Mach-O 64-bit bundle x86_64]

bindings/_openssl.so (for i386): Mach-O bundle i386

bindings/_openssl.so (for x86_64): Mach-O 64-bit bundle x86_64

pip install cryptography

Python Packaging

deploy.zip

Amazon CloudWatch Logs

Amazon VPC

AWS Lambda

Amazon API Gateway

Permissions

Amazon DynamoDB

import boto3from chalice import Chalice

app = Chalice(app_name='test-policy')client = boto3.client('dynamodb')

@app.route('/')def list_tables():

return client.list_tables()

client = boto3.client('dynamodb')

client.list_tables()

Run the Auto Policy Generator

$ chalice gen-policy

"Version": "2012-10-17",

"Statement": [

"Effect": "Allow",

"Action": ["dynamodb:ListTables"],

"Resource": ["*"],

"Sid": "30b6e077c9314011a8406dc262185caf"

Caveat

• Experimental

• Use as a starting point

• Can specify your own IAM policy file to use

• Also specify a specific IAM Role ARN to use

Wrapping Up

Overview of Chalice

Deployment

Python Packaging

IAM Policy Generation

Next Steps

Try out AWS Chalice! https://chalice.readthedocs.io/en/latest/

Create feature requests: https://github.com/aws/chalice

AWS Chalice Workshop Next

Thank you!

James Saryerwinnie

@jsaryer

Deep Dive on AWS ChaliceDeep Dive on AWS Chalice A Serverless Microframework for Python James...

Documents

Transcript of Deep Dive on AWS ChaliceDeep Dive on AWS Chalice A Serverless Microframework for Python James...

Deep Dive: AWS CloudFormation

Python Serverless Microframework for AWS · Python Serverless Microframework for AWS, Release 1.14.1 AWS Chalice allows you to quickly create and deploy applications that use Amazon

Deep Dive: AWS Command Line Interface

Deep Dive: AWS Lambda

CMS on AWS Deep Dive

AWS Lambda microframework - Wojciech Lichotalichota.pl/chalice_microframework_042018.pdf · 2019-03-01 · Examples IaaS PaaS Serverless EC2 Elastic Beanstalk Lambda Compute Engine

AWS MEETUP AUTO SCALING DEEP DIVE

(SEC318) AWS CloudTrail Deep Dive

AWS re:Invent 2016: Deep Dive: AWS Direct Connect and VPNs (NET402)

LHC2384BU VMware Cloud on AWS A Technical Deep Dive · PDF fileVMware Cloud on AWS – A Technical Deep Dive ... LHC2013BU –NSX and VMware Cloud on AWS: Deep Dive ... on AWS VPN

Deep Dive: AWS Command Line Interface - Amazon S3and...Deep Dive: AWS Command Line Interface Martin Elwin . CRASH COURSE Intro to the AWS CLI FOUNDATION ADVANCED SCENARIOS Exploring

SRV408 Deep Dive on AWS IoT

AWS June Webinar Series - Deep dive: Hybrid Architectures

AWS re:Invent 2016: Chalice: A Serverless Microframework for Python (DEV308)

Deep Dive on AWS IoT

(APP308) Chef on AWS: Deep Dive | AWS re:Invent 2014

Amazon ElastiCache Deep Dive - AWS

Deep dive on AWS CloudHSM

Flask - Python microframework

AWS August Webinar Series - S3 Deep Dive