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Today's plan 1. What is serverless? 2. A few options in Python 3. Serverless Hello World 4. Event-driven service 5. Where do I go from there?

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What is serverless? (and why should I care?)

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Function as a Service (FaaS), a.k.a Serverless ‣ reduced time to production ‣ ease of maintenance ‣ on-demand scaling ‣ pay-per-use

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"No server is easier to manage than no server." — Werner Vogel, Amazon CTO

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What kind of workload is right for Serverless?

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What kind of workload is right for Serverless? ‣ Chat bots & IoT ‣ Client-heavy applications ‣ Batch processing ‣ Stateless microservices

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What's not a good fit?

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What's not a good fit? ‣ Long-running background jobs ‣ Memory-bound computing ‣ Apps with high-perf requirements (e.g. trading)

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Python's Serverless Landscape

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Current Best Practices

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Current Best Practices ‣ Assumes you are familiar with AWS ‣ Difficult for a dev to get started ‣ Focused on the infrastructure to run the code

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What we'll do instead ‣ Leverage frameworks to do the heavy lifting ‣ Focus on the code while generating the infrastructure ‣ Learn AWS by using the services

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Serverless Framework

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Zappa

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Chalice

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Hello World!

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Add user

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Set permissions

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Review your choices

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Download your Acess key and Secret

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Install the AWS CLI1 $ brew install awscli 1 https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html

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Configure the AWS cli $ aws configure AWS Access Key ID [None]: AKIAIOSFODNN7EXAMPLE AWS Secret Access Key [None]: wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY Default region name [None]: ca-central-1 Default output format [None]: json

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Configure the AWS cli (alternate) # ~/.aws/credentials [chalice-hello] aws_access_key_id=AKIAIOSFODNN7EXAMPLE aws_secret_access_key=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY

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Install Chalice $ pip install chalice

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Create a project $ chalice new-project helloworld

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$ tree -a . ├── .chalice │ └── config.json ├── .gitignore ├── app.py └── requirements.txt 1 directory, 4 files

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app.py

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Export your AWS profile $ export AWS_PROFILE=chalice-hello

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hello-world-dev IAM role { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "logs:CreateLogGroup", "logs:CreateLogStream", "logs:PutLogEvents" ], "Resource": "arn:*:logs:*:*:*" } ] }

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Let's make something useful!

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The plan 1. event-driven instead of REST 2. read/write to S3 bucket 3. process images using a Python library

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Create a bucket $ aws s3 mb s3://confoo2021-hello-serverless

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@app.on_s3_event( bucket='confoo2021-hello-serverless', events=['s3:ObjectCreated:Put'], prefix='images/', suffix='.jpg' ) def resize_image(event): with tempfile.NamedTemporaryFile('w') as f: s3.download_file(event.bucket, event.key, f.name) im = Image.open(f.name) im.thumbnail((250, 250)) im.save(f.name, "JPEG", quality=80) s3.upload_file(f.name, event.bucket, f'thumbnails/{event.key}')

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@app.on_s3_event( bucket='confoo2021-hello-serverless', events=['s3:ObjectCreated:Put'], prefix='images/', suffix='.jpg' ) def resize_image(event): with tempfile.NamedTemporaryFile('w') as f: s3.download_file(event.bucket, event.key, f.name) im = Image.open(f.name) im.thumbnail((250, 250)) im.save(f.name, "JPEG", quality=80) s3.upload_file(f.name, event.bucket, f'thumbnails/{event.key}')

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@app.on_s3_event( bucket='confoo2021-hello-serverless', events=['s3:ObjectCreated:Put'], prefix='images/', suffix='.jpg' ) def resize_image(event): with tempfile.NamedTemporaryFile('w') as f: s3.download_file(event.bucket, event.key, f.name) im = Image.open(f.name) im.thumbnail((250, 250)) im.save(f.name, "JPEG", quality=80) s3.upload_file(f.name, event.bucket, f'thumbnails/{event.key}')

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@app.on_s3_event( bucket='confoo2021-hello-serverless', events=['s3:ObjectCreated:Put'], prefix='images/', suffix='.jpg' ) def resize_image(event): with tempfile.NamedTemporaryFile('w') as f: s3.download_file(event.bucket, event.key, f.name) im = Image.open(f.name) im.thumbnail((250, 250)) im.save(f.name, "JPEG", quality=80) s3.upload_file(f.name, event.bucket, f'thumbnails/{event.key}')

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@app.on_s3_event( bucket='confoo2021-hello-serverless', events=['s3:ObjectCreated:Put'], prefix='images/', suffix='.jpg' ) def resize_image(event): with tempfile.NamedTemporaryFile('w') as f: s3.download_file(event.bucket, event.key, f.name) im = Image.open(f.name) im.thumbnail((250, 250)) im.save(f.name, "JPEG", quality=80) s3.upload_file(f.name, event.bucket, f'thumbnails/{event.key}')

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@app.on_s3_event( bucket='confoo2021-hello-serverless', events=['s3:ObjectCreated:Put'], prefix='images/', suffix='.jpg' ) def resize_image(event): with tempfile.NamedTemporaryFile('w') as f: s3.download_file(event.bucket, event.key, f.name) im = Image.open(f.name) im.thumbnail((250, 250)) im.save(f.name, "JPEG", quality=80) s3.upload_file(f.name, event.bucket, f'thumbnails/{event.key}')

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Deploy the new function $ chalice deploy Creating deployment package. Updating policy for IAM role: hello-world-dev Creating lambda function: hello-world-dev-resize_image Configuring S3 events in bucket mybucket to function hello-world-dev-resize_image Updating lambda function: hello-world-dev Updating rest API Resources deployed: - Lambda ARN: arn:aws:lambda:ca-central-1:867045000300:function:hello-world-dev-resize_image - Lambda ARN: arn:aws:lambda:ca-central-1:867045000300:function:hello-world-dev - Rest API URL: https://y25aa7x0qg.execute-api.ca-central-1.amazonaws.com/api/

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Deploy the new function $ chalice deploy Creating deployment package. Updating policy for IAM role: hello-world-dev Creating lambda function: hello-world-dev-resize_image Configuring S3 events in bucket mybucket to function hello-world-dev-resize_image Updating lambda function: hello-world-dev Updating rest API Resources deployed: - Lambda ARN: arn:aws:lambda:ca-central-1:867045000300:function:hello-world-dev-resize_image - Lambda ARN: arn:aws:lambda:ca-central-1:867045000300:function:hello-world-dev - Rest API URL: https://y25aa7x0qg.execute-api.ca-central-1.amazonaws.com/api/

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Upload an image $ aws s3 cp truck.jpg s3://confoo2021-hello-serverless/images/truck.jpg

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Check the corresponding thumbnail

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Our Architecture

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Going Further... ‣ custom domain ‣ security ‣ testing ‣ observability (logs, metrics, error tracking) ‣ keeping your function warm to avoid cold-starts ‣ going beyond the execution time limit

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Example code

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Slides

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Links ‣ Github repository with code from this talks ‣ Chalice website and Documentation ‣ A sample TODO application

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Thank you!