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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Markku Lepistö - Principal Technology Evangelist
Python on Lambda
User Application
Application Service
Middleware Service
Language Interpreter
Operating System
Host
Focus on Your Application
Move Up the Stack
Application
Architecture
Adrian Cockcroft, Technology Fellow at Battery Ventures
http://www.slideshare.net/adriancockcroft/goto-berlin
Amazon Web Services
Containers Docker launched in 2013
Cloud EC2 launched in 2006
Virtualization Since late 1990s
Bare Metal Since 1960s
Lambda Launched in 2015
Containers Docker launched in 2013
Cloud EC2 launched in 2006
Virtualization Since late 1990s
Bare Metal Since 1960s
Event driven, fully managed compute
All you need is code™
Fast
events trigger code execution
in milliseconds – at any scale
Cost & Resource Efficient
100ms billing granularity
of compute chunks
Highly Requested by Customers Since Launch
Running Python on Lambda
Where can I use the AWS Python SDK ?
Your dev environment Amazon EC2 VM / Container AWS Lambda(install) (install) (pre-installed)
Programming model
Asynchronous Synchronous
handler_name event context
• Logger
AWS CloudWatch Logs
New Python lambda function from blueprint
• Lambda console
• Asynchronous – triggered by S3 event
• Debug & logs in Cloudwatch
• Identity and Access Management
• Exceptions handling
New Python ‘Hello World’ Lambda function
• Unit tests in Lambda console
• Synchronous – called by us
• Request ID (useful for troubleshooting)
• Time remaining (before ‘timed out’ function is killed)
• Memory available
• Info on calling client i.e Mobile app
• etc
context
context.log_stream_name
context.log_group_name
context.aws_request_id
context.memory_limit_in_mb
context.get_remaining_time_in_millis()
Let’s run the previous slide Context example
aws lambda create-function
• pip install zip
setup.cfg
[install]
prefix=
aws.amazon.com/lambda
@markkulepisto