alexcasalboni

Resources:
  WorkshopKinesisStream:
    Type: "AWS::Kinesis::Stream"
    Properties: 
      ShardCount: 1

  IdentityPool:
    Type: "AWS::Cognito::IdentityPool"
    Properties:
      IdentityPoolName: WorkshopIdentityPool

alexcasalboni

import boto3
from boto3.session import Session

session = Session(aws_access_key_id='AWS_ACCESS_KEY_ID', aws_secret_access_key='AWS_SECRET_ACCESS_KEY')
machinelearning = session.client('machinelearning', region_name='us-east-1')
labels = {'1': 'walking', '2': 'walking upstairs', '3': 'walking downstairs', '4': 'sitting', '5': 'standing', '6': 'laying'}

# fill your model ID and Endpoint here!
model_id = 'MODEL_ID'
prediction_endpoint = 'MODEL_ENDPOINT'

alexcasalboni

[
  "https://twitter.com//goserverless/status/879729046568882177",
  "https://twitter.com//zdne/status/879726263417663490",
  "https://twitter.com//jeffconf/status/879722357899894785",
  "https://twitter.com//AzureFunctions/status/879458907453767680",
  "https://twitter.com//adampash/status/877549817471279105",
  "https://twitter.com//MongoDB/status/877186132404031488",
  "https://twitter.com//alex_casalboni/status/875866754177748993",
  "https://twitter.com//gmolto/status/872691887936811008",
  "https://twitter.com//jeffconf/status/872451904642703360",

alexcasalboni

AWS Lambda@Edge Experiment

Requirements

• AWS Lambda@Edge (enabled Preview)
• One Amazon CloudFront Distribution (origin doesn't matter)
• IAM role (basic execution is enough)
• npm to install Node.js dependencies

alexcasalboni

Amazon Rekognition - Python Code Samples

1. Labels Detection
2. Faces Detection
3. Faces Comparison
4. Faces Indexing
5. Faces Search

alexcasalboni

Bridge Function between Kinesis Streams and Step Functions

For each record read from the Kinesis Stream, a StepFunction state machine will be executed asynchronously.

Required Environment Variables

• region: the AWS region where your StepFunction state machine is defined.
• stateMachineArn: the ARN of the StepFunction state machine you want to execute.

Notes

alexcasalboni

import boto3

iam = boto3.resource('iam')

def get_policy_body(arn, version_id=None):
    """ Return IAM Policy JSON body """
    if version_id:
        version = iam.PolicyVersion(arn, version_id)
    else:
        policy = iam.Policy(arn)

alexcasalboni

#!/bin/bash

BUCKET="YOUR_BUCKET_NAME" # bucket name
FILENAME="deployment-package.zip" # upload key
TMP_FOLDER="/tmp/lambda-env-tmp/" # will be cleaned
OUTPUT_FOLDER="/tmp/lambda-env/" # will be cleaned


HERE=${BASH_SOURCE%/*} # relative path to this file's folder
LAMBDA_FOLDER="$HERE/lambda/" # relative path

alexcasalboni

AWS Lambda: Advanced Coding Session (slides)

Live demos:

1. Amazon API Gateway Access Control
2. Amazon Kinesis Streams processing
3. Amazon Cognito Sync trigger
4. AWS CloudFormation Custom Resources

alexcasalboni

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

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Index: