dynamodb webinar 21512[1]

8/2/2019 Dynamodb Webinar 21512[1]

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2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express co

Amazon DynamoDB

Dave Lang, Sr. Product Manager

Stefano Stefani, Principal EngineerAWS Database Services


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Introducing Amazon DynamoD

A Non-Relational (NoSQL) Database ServiceHigh Scale

High Performance

Fully Managed Service

Accessible via Web Service APIs


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NoSQL?

RDS (Relational database) Richer query functionality

Complex transactions

DynamoDB (NoSQL) Speed

Scalability

Ease of use


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Data and Query Model

User-declared primary key

Flexible schema

Easy-to-use APIs (PUT, GET, QUERY,)

Strong and eventual consistency (your choice)

Atomic countersConditional operators


5/25 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express co

Emerging Database Requireme

Massive Scalability Big Data

Fast, Predictable Performance

High Availability and Durability

Ease of Use and Administration



Amazon DynamoDB

Massive Scalability Big Data: Designed for unlimited storage and throughput capaci

Fast, Predictable Performance: Consistent, low-latency performance at any scale

High Availability and Durability: Synchronous replication across availability zones

Easy to Use: Fully managed, zero administration service.



Massive Scalability with Dynamo

Unlimited storage

Provisioned Throughput Model Can scale to extremely large workloads

You tell us how much capacity you need

You can change your capacity as needed

We handle the rest



The Provisioned Throughput Mo


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Changing your Throughput Capa


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Simply tell us how much capacity you need

High performance at any scale

Scale without changing a line of code


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Big Data Elastic MapReduce (E

DynamoDB / EMR Integration: Perform complex analytics

Join DynamoDB tables with outside data sources like

Export data out of DynamoDB

Import data into DynamoDB


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High Performance

Typical service-side latency: single digit millisec

Solid State Drive (SSD)-backed service

Latency is consistent As throughput increases

As storage grows

No tuning. AWS handles that for you.


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High Performance

Latency(ms)

Latency at 160,000 writes/second for 3 days


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Availability and Durability

Multi-datacenter replication and failover

If one machine or datacenter fails, another serves you High availability

Protects against data loss


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What DynamoDB Manages For Y

Hardware provisioning

Cross-availability zone replication

Monitoring and handling of hardware failures Replicas automatically regenerated whenever necess

Changing the level of provisioned throughput Data might need to be redistributed around the cluste No service disruption or performance impact


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Pricing

Pay by the hour for throughput capacity

$0.01 per hour for every 10 units of write capaci

$0.01 per hour for every 50 units of read capaci

$1 per GB per month of storage

Free Tier: 5 units of write capacity, 10 units of read capacity, 100


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Pricing Example

10 writes per second

100 reads per second

10 GB of data

1 KB items

Estimated Monthly Cost: $32


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When should you use DynamoD

Low latency requirements

Need to scale (now, or in future)

Want to reduce TCO by eliminating administrativ

Does not require complex queries or transaction


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Who is using DynamoDB?


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Integrated with Super Bowl ads

Needed high performance and extremely high s

Massive database table (more than 100,000

writes/second)Massive elasticity (scale needed only during eve

From design to production in 3 days


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Pricing Example: Short Term Ev

Massive Scale

Short Duration

100,000 writes/second over 4 hours

Up to 1.4 Billion Writes

Estimated Throughput Cost: $400


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Easy to Get Started

Create a table in seconds using the AWS Conso

Free tier

Easy-to-learn APIs


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Q&A

For more information:

aws.amazon.com/[email protected]

dynamodb webinar 21512[1]

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