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Pavle Portic 2020-06-09 11:00:20 +02:00
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4 changed files with 64 additions and 39 deletions

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@ -35,7 +35,6 @@ revealjs_script_conf = '''
history: true,
center: true,
transition: "slide",
showNotes: true,
}
'''
revealjs_script_plugins = [

102
index.rst
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@ -12,30 +12,39 @@ What does serverless mean?
.. image:: _static/empty_racks.jpg
.. Advantages of serverless:
- No management
- Faster startup times
- "Infinite scale"
- Business logic only
AWS Compute startup times
-------------------------
.. revealjs_fragments::
* EC2 - minutes
* Fargate - seconds
* Lambda - milliseconds (when warm and cozy)
* https://firecracker-microvm.github.io/
* EC2 - minutes
* Fargate - seconds
* Lambda - milliseconds (when warm and cozy)
* https://firecracker-microvm.github.io/
The Lambda lifecycle
--------------------
.. code-block:: python
print('initialized')
print('initialized')
def handler(event, context):
print('executed')
def handler(event, context):
print('executed')
return {
'message': 'done'
}
return {
'message': 'done'
}
.. What is a cold start and the advantages of a warm lambda
Edifice Corb
============
@ -51,31 +60,38 @@ Rapid iteration
.. image:: _static/say_agile.jpg
.. Constantly reworking the infrastructure and sometimes even the business logic
Person detection
================
* Tensorflow model
* Inference on video frames is compute intensive
* EC2 GPU instances are neither serverless nor cheap
* GPU instances are neither serverless nor cheap
.. image:: _static/god_damn_aws_charges.jpg
:width: 60%
.. Don't use GPU for inference unless absolutely necessary
AWS to the rescue
-----------------
.. image:: _static/behold_elastic_inference.jpg
:width: 40%
:width: 40%
Still not serverless
--------------------
.. image:: _static/elastic_inference.png
:width: 40%
:width: 40%
The AWS SageMaker of six paths
------------------------------
* Managed end-to-end ML service
* Model training, deployment, and monitoring
* SageMaker studio, an "IDE for ML"
Managed end-to-end ML service
.. image:: _static/sagemaker_studio.jpg
:width: 80%
Processing pipeline
===================
@ -91,24 +107,26 @@ Serverless framework
--------------------
.. image:: _static/serverless.jpg
:width: 30%
:width: 30%
True yaml engineering
.. No manual zip files, less architecture management, but less flexible
Triggering events
-----------------
.. code-block:: yaml
functions:
VideoIngress:
handler: aws_lambda.run_detector.handler
events:
- s3:
bucket: video-bucket
event: s3:ObjectCreated:*
rules:
- suffix: .mkv
functions:
VideoIngress:
handler: aws_lambda.run_detector.handler
events:
- s3:
bucket: video-bucket
event: s3:ObjectCreated:*
rules:
- suffix: .mkv
Other serverless goodies
------------------------
@ -117,6 +135,8 @@ Other serverless goodies
* Easy additional permissions
* Lots of functionality for little code
.. show serverless.yaml
Other serverless badies
-----------------------
@ -124,17 +144,23 @@ Other serverless badies
* Multiple environments are harder to implement
* Hardcoding and code duplication
.. show serverless.yaml
Messaging pipeline
==================
.. image:: _static/messaging_pipeline.png
:width: 40%
:width: 40%
.. Current architecture. Will be more complex when we add alarms. Talk about sync/async lambda calls
Y tho?
------
.. image:: _static/why_few_lambda.jpg
.. Why microservices. Easier parallel development. Easier testing
More triggers and destinations
------------------------------
@ -142,16 +168,16 @@ More triggers and destinations
.. code-block:: yaml
CleaningReportGenerator:
handler: aws_lambda.request_cleaning.handler
events:
- eventBridge:
pattern:
detail:
responsePayload:
command_type:
- request_cleaning
destinations:
onSuccess: arn:aws:events:::event-bus/default
handler: aws_lambda.request_cleaning.handler
events:
- eventBridge:
pattern:
detail:
responsePayload:
command_type:
- request_cleaning
destinations:
onSuccess: arn:aws:events:::event-bus/default
EventBridge - Central point of success
--------------------------------------