AWS Brown bag session

11 Nov 2016

1UK Sales Conference

Image by Leah Juarez

Pathum Fernando

What is AWS stands for ?

Agenda

DynamoDB

Simple Queue Service ( SQS )

Simple Storage Service ( s3 )

DynamoDB

What is DynamoDB ?

● Amazon DynamoDB is a fast and flexible NoSql service

for all Application.

● Single digit millisecond latency

● It is fully managed by AWS

● Supported Key-Value data model

Quick facts about DynamoDB

● Stored on SSD Storage

● Spread across 3 geographical distints datacenter

● Eventually consistent read

● Strongly consistent read

Read More…

1. Why is Amazon DynamoDB built on Solid State Drives?

2. What does read consistency mean? Why should I care?

3. What is the consistency model of Amazon DynamoDB?

The Basics ● Table

● Items ( Think a raw of data in a table )

● Attributes ( Think of column of data in a table )

Items

Attributes

Table

The Basics

Indexing and Keys ● Two type of primary keys Available

Single Attribute ( think unique ID )

-Partition Key

Composite ( Think unique ID and a date range )

- Partition Key and sort Key composed of two attributes

● Local indexing

● Global Indexing

Provisioned throughput

1. Unit of Read Provisioned throughput

A. All reads are round up to increments of 4KB

B. Eventually consistent Reads ( default ) consist of 2 reads per

second

C. Strongly consistent reads consist of 1 read per second.

1. Unit of write provisioned throughput

A. All writes are 1KB

B. All writes consist of 1 write per second.

Provisioned throughput ( Magic formula ) You have an application that needs to read 25 items of 13kb in size per

second. Your application uses strongly consistent reads. What should

you set the read throughput to?

Read Throughput

Write Throughput

Read Throughput

(Size of Read rounded up to nearest 4KB chunk / 4KB )

no of items= X

Write Throughput

( Size of Write rounded up to nearest 1KB chunk / 1KB )

no of items= X

Simple Queue Service ( SQS )

What is SQS ?

● Amazon SQS is a web service that gives you access to a message

queue

● Amazon SQS is distributed queue system

● This is the very first service that the AWS launched

● Using SQS, you can decouple the components of an application

● Amazon SQS ensures delivery of each message at least once, and

support multiple readers and writers.

● SQS does not guarantee first in, first out delivery of messages.

SQS illustrate To illustrate, suppose you have a number of image files to encode. In

an Amazon SQS worker queue, you create an Amazon SQS message

for each file specifying the command (jpeg-encode) and the location of

the file in Amazon S3. A pool of Amazon EC2 instances running the

needed image processing software does the encoding

SQS illustrate

SQS illustrate

SQS illustrate

SQS - Autoscaling

Simple Storage Service ( s3 )

What is S3 ? ● S3 is a safe place to store your files

● It is object based storage. Allows you to upload files

● The data is spread across multiple devices and facilities

● File can be from 1 byte to 5TB

● S3 is unlimited storage

● Files are stored in Buckets

● Bucket name should be unique globally

● Key-Value store

● Amazon guarantees 99.99% availability for the s3 platform and

99.999999999% durability for s3 information

● Use as a static hosting method

S3 consistency models

● Read after write consistency for PUTS of new objects

● Eventual consistency for overwrite PUTS and DELETES ( can take

some time to propagate )

S3 Storage Tiers/Classes

● S3 - 99.99% availability and 99.999999999% durability ,

redundantly across multiple devices in multiple facilities

● S3 - IA ( Infrequently Accessed ) For data that is accessed less

frequently, but requires rapid access when needed, Lower free

than S3

● Reduced Redundancy Storage - Designed to provide 99.99%

durability and 99.99% availability.

● Glacier - Very cheap, but used for archival only, It takes 3-5 hours

to restore from Glacier

S3 Storage Tiers/Classes

S3 Version Control

● Stores all version of an object

● Great backup tool

● Integrates with Lifecycle rules

● Versioning has MFA Delete capability

S3 Lifecycle Management

You manage an object's lifecycle by using a lifecycle configuration,

which defines how Amazon S3 manages objects during their lifetime.

Lifecycle configuration enables you to simplify the lifecycle

management of your objects, such as automated transition of

less-frequently accessed objects to low-cost storage alternatives and

scheduled deletions. You can configure as many as 1000 lifecycle rules

per bucket.

Are you looking for a AWS Certification ?

Are you looking for a AWS Certification ?