alexellis

You'll need

• Raspberry Pi 3, 3+ or 2 (only)
• A Linux PC, laptop or Raspberry with SD card reader/slot
• A number of Raspberry Pis configured with Ethernet

You must have an SSH key, if you don't know what this is then type in ssh-keygen and follow the instructions.

Prepare to provision RPis:

pgolding

Handling of StreamingBody Response from Invoking a Lambda Function

When calling a Lambda Function via Boto3, the returned object is something like:

{u'Payload': <botocore.response.StreamingBody object at 0x7f8d5b62ac50>, 
'ResponseMetadata': {'RetryAttempts': 0, 'HTTPStatusCode': 200, 'RequestId': '5bdbb3ca-3b35-11e7-9816-397b140c3bac', 'HTTPHeaders': {'x-amzn-requestid': '5bdbb3ca-3b35-11e7-9816-397b140c3bac', 'content-length': '1636', 'x-amzn-trace-id': 'root=1-591ca199-00d34d5474d16275ec2c8d10;sampled=0', 'x-amzn-remapped-content-length': '0', 'connection': 'keep-alive', 'date': 'Wed, 17 May 2017 19:16:41 GMT', 'content-type': 'application/json'}}, u'StatusCode': 200}

The Payload parameter is <botocore.response.StreamingBody> which is a data streaming object.

roccomuso

var net = require('net')
var readline = require('readline')

/**
 * @class Client
 * @param host {String} the host
 * @param post {Integer} the port
 */
function Client (host, port) {
  this.host = host

kern

import argparse
import boto.sqs
import json
import os

parser = argparse.ArgumentParser(description='Saves all messages from an AWS SQS queue into a folder.')

parser.add_argument(
    '-q', '--queue', dest='queue', type=str, required=True,
    help='The name of the AWS SQS queue to save.')

rxaviers

People

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