ranman

export interface FunctionUrlRequest {
  version: '2.0';
  routeKey: '$default';
  rawPath?: string;
  rawQueryString?: string;
  cookies?: string[];
  headers: { [header: string]: string };
  queryStringParameters: { [parameter: string]: string };
  requestContext: {
    accountId: string;

ranman

AWS Serverless Network Connection Management

Problem Statement:

Serverless compute targets (e.g. AWS lambda) that initiate network connections have no built-in way of offloading that connection management in the case of long polling, websockets, http2, etc.

This means that a reactive lambda that makes an outbound network connection spends most of its execution time in an endless IO wait.

AMZN APIGW can take incoming websocket connections and translate those requests into a request/response model. This is desirable! What would be great is allowing that for outbound connections as well.

Currently the only way to do this is with an out of band proxy (typically nginx).

ranman

export class BaseStack extends cdk.Stack {
  public readonly stageName?: string;
  public readonly serviceName?: string;

  constructor(scope: cdk.Construct, id: string, props: IBaseStack) {
    const superProps = {
      ...(props.stageName && { stackName: `${props.stageName}-${id}` }),
      ...props,
    };
    super(scope, id, superProps);

ranman

import boto3
session = boto3.Session(profile_name='default')
regions = session.get_available_regions(service_name='lambda')
for region in regions:
    print(region)
    aws_lambda = session.client('lambda', region_name=region)
    try:
        paginator = aws_lambda.get_paginator('list_functions').paginate()
        for page in paginator:
            for function in page['Functions']:

ranman

ranman

All Posts:

• http://aws.amazon.com/blogs/big-data/fact-or-fiction-google-big-query-outperforms-amazon-redshift-as-an-enterprise-data-warehouse
• http://aws.amazon.com/blogs/aws/launch-aws-glue-now-generally-available
• http://aws.amazon.com/blogs/aws/real-time-hotspot-detection-in-amazon-kinesis-analytics
• http://aws.amazon.com/blogs/aws/cloudformation-macros
• http://aws.amazon.com/blogs/aws/sagemaker-tokyo-summit-2018
• http://aws.amazon.com/blogs/aws/latency-distribution-graph-in-aws-x-ray
• http://aws.amazon.com/blogs/aws/built-in-authentication-in-alb
• http://aws.amazon.com/blogs/aws/new-bot-gtld-from-amazon

ranman

Services

NEW AWS Budgets Console

NEW Neptune GA

NEW Registry of open data

NEW EKS GA

ranman

var stuff = []
Array.from(document.querySelectorAll(".blog-post")).forEach(function (item) {
    stuff.push({
        "image": item.querySelector('.wp-post-image').src,
        "url": item.querySelector('a').href,
        "description": item.querySelector('p').innerText,
        "title": item.querySelector('h2').innerText,
        "date": item.querySelector('time').dateTime
    })
})

ranman

import os

from PIL import Image, ImageFilter
import boto3
rek = boto3.client("rekognition")

def get_face_boxes(faces, source_size):
    return [
        (
            int(f['BoundingBox']['Left'] * source_size[0]),

ranman

import boto3
import random
translate = boto3.client("translate")
polly = boto3.client("polly")

def get_valid_voices_for_language(language_code="en"):
    return [
        voice['Id'] for voice in polly.describe_voices()['Voices'] 
        if voice['LanguageCode'].startswith(language_code)
    ]