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WHAT IS AMAZON EFS?

> Simple, scalable file storage for use with Ec2 instances in AWS.
> Storage capacity is elastic, growing and shrinking automatically as you add and remove files
> Provides a standard file interface and file system access semantics
> Multiple EC2 instances can access EFS at the same time, allowing for a common data source for workloads running in more than 1 EC2 instance.
> Designed for high availability and durability

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Introduction to Amazon EC2 Auto Scaling
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Amazon EC2 Auto Scaling:

> Helps you ensure you have the correct number of EC2 instances available to handle applications workload.
> You create collections of Ec2 instances called 'Auto Scaling Groups'

> Specify the minimum number
> Specify the maximum number

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Introduction to Amazon Simple Storage Service

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S3 is an object storage service - scalable, available, secure and performant. 
Provides easy-to-use management features to organize data - with fine tuned 
access controls to mee organizational and compliance requirments. 
Designed for (11 9's) durability.

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 Introduction to Amazon Virtual Private Cloud (VPC)
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 WHAT IS VIRTUAL PRIVATE CLOUD (VPC)?
 
 Lets you provision a locally isolated section of the AWS cloud where you can launch AWS resources in a virtual
 network you define. You control the virtual networking env, including IP range, creation of subnets, config of route tables and gateways.
 IPv4 and IPv6 can be used.
 
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Introduction to Amazon Elastic Block Store (EBS) Lab Notes:
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EBS - volumes are like hard drives on a computer
The data on them persists through the lifetime of the volume and can be transported between virtual machines as needed

In the Console:
ELASTIC BLOCK STORE -> VOLUMES

Always recommended you give EBS volumes names.
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#!/bin/sh
java -Djava.library.path=./DynamoDBLocal_lib -jar DynamoDBLocal.jar -sharedDb

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import boto3

#boto3 client
ddb = boto3.client('dynamodb', endpoint_url='http://localhost:8000')
response = ddb.list_tables()
print(response)

#boto3 service resource
ddb = boto3.resource('dynamodb', endpoint_url='http://localhost:8000')
print(list(ddb.tables.all()))

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Book

• The Pragmatic Programmer

Programming Language:

• Javascript

General:

• Docker, Kubernetes and hosting the whole lot in AWS

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# Windows script to set up Cognito Pool
# Handy guide for Server to Server credentials using Cognito @ https://lobster1234.github.io/2018/05/31/server-to-server-auth-with-amazon-cognito/
# CREATE COGNITO USER POOL

SET POOLNAME="PoolName"
SET ENV="DEV"
aws cognito-idp create-user-pool --pool-name %POOLNAME%%ENV%

# MANUAL STEP (FOR NOW - COPY THE ID FROM THE OUTPUT ABOVE)
# Take the UserPool->Id, everything below is created from it: eu-west-1_g*****

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https://medium.com/@matthewleak/aws-lambda-functions-with-a-static-ip-89a3ada0b471