Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Specialist SA, WWSO, AWS ::: AWS Data Roadshow 2023

AWS DATA ROADSHOW 2023
© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Hyuk Lee
DynamoDB SA, AWS
Amazon DynamoDB
- Use Cases and Cost Optimization

Agenda
• Use Cases
• Cost optimization

Use Cases

Dec 2004:
Database scalability
challenges
Oct 2007:
Dynamo paper
published
Jan 2012:
DynamoDB general
availability
Q3 2016:
DynamoDB leader in
Gartner MQ, Forrester
Wave
Today:
Tier 0 service powering
most of Amazon
The Amazon NoSQL journey

Characteristics of internet-scale apps
Users 1 million+
Data volume TB, PB, EB
Locality Global
Performance Microsecond latency
Request rate Millions per second
Access Mobile, IoT, devices
Scale Up and down
Economics Pay as you go
Developer access Instant API access
Online
gaming
Social
media
Media
streaming
E-commerce Shared
economy

Aurora Relational
Database
Service
(RDS)
DynamoDB DocumentDB Timestream
Neptune
ElastiCache Quantum
Ledger
Database
(QLDB)
Keyspaces
AWS purpose-built databases

AWS Bookstore example
https://github.com/aws-samples/aws-bookstore-demo-app

Write
Capacity
Units
/
sec
Super Bowl
In 2017
Peak Consumed Capacity
Provisioned Capacity
Global-Scale Events: Elastic is the New Normal

Millisecond variance
Consistent low latency
Many millions of requests per second per table
High request volume
Performance at any scale

Build high-performance, globally
distributed applications
Low-latency reads and writes
to locally available tables
Multi-Region redundancy
and resiliency and 99.999% availability
Multi-active writes from any Region
Easy to set up and no application
rewrites required
Global tables provide apps with multi-Region replication

Fully managed,
highly available cache
for DynamoDB
Even faster—microsecond latency
Scales to millions of read requests
per second
API compatible
Your applications
DAX
DynamoDB
DynamoDB Accelerator (DAX) adds read cache

• Fully managed, cloud-native NoSQL database service
• Designed for mission-critical OLTP use cases
• Where you know access patterns
• Operational database that provides:
• Extreme scale with horizontal scaling
• Consistent performance at any scale
• High availability and reliability with zero downtime
• Global availability and cross-region replication
• Full serverless experience
• Integration with AWS Lambda and other AWS services

How DynamoDB helps reduce cost
Pay-per-request
Pay-per-GB storage
Separation of reads,
writes and storage
Scale-to-zero
Features to optimize
cost

How DynamoDB helps reduce operations
No instances
No maintenance windows
No query processor
No version upgrades
Automatic scaling

DynamoDB Trends
Write intensive
• IoT / Monitoring
• User activity logging
• Tracking
• Step count
• Chatting
Consistent latency
• Ad
• Session store
• User profile
• Purchase history or
product details
No Ops
• DevOps
• Global service
• No versions

Disney+ launched in November 2019 and delivers
its extensive library of digital content directly to
the homes of over 60.5 million subscribers, and
DynamoDB is one of the technologies that
supports this global footprint.
Disney+ chose DynamoDB to help with:
• Utilizing multi-Region replication with single-digit
latency to shift traffic without experiencing data
issues
• Adding another AWS Region in global tables to
launch into new countries, providing low latency
• Scaling Recommendations and Bookmarks with
little to no operational overhead
• Having the ability to switch back and forth
between on-demand and provisioned capacity
modes when entering new Regions
Billions of bookmarks ingested a day over Amazon
Kinesis and into Amazon DynamoDB.
—Attilio Giue
Director of Content Discovery, Disney+
“
“

Snap tackles massive-scale spikes
Migrated its Snapchat Stories from a legacy cloud
database to DynamoDB to help:
Mitigate risk
• This is now “one of the most stable systems at
Snapchat.” –Dave Killian, Snap Infrastructure
Engineering Lead
Reduce cost
• Eliminated millions of dollars of over-
provisioning cost per year compared to the
legacy system
Tackle scale
• New Year’s Eve is the app’s largest spike of the
year and DynamoDB gracefully
served the drastic increase in traffic

Profile, match, and swipe data
25 TB data, 20 billion matches,
190 countries
Migrated from MongoDB to
DynamoDB with 60 percent cost
savings
DynamoDB helps us achieve greater developer
efficiency…at a lower cost.
—Jun-young Kwak
Tinder
“
“

Lyft chose DynamoDB:
To handle massive scale and bursts gracefully:
• In more than 200 cities, more than 14
million rides per month, 8 times traffic
during peak hours
For mission-critical transactional data:
• The GPS location of all rides is tracked in the
ride location-tracking system
To handle rapid growth cycles with a small team:
• Deployed location-tracking system on
DynamoDB
DynamoDB is so simple to scale out. We only have
two knobs. One for reads and one for writes.
—Chris Lambert
CTO, Lyft
“
“
Automotive

Cost Optimization

내 워크로드의 특성을 파악

AWS Cost Explorer에서 내 비용 구조를 살펴보기
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-cost-optimization.html

비용 최적화 포인트
용량 모드 스토리지 모드
사용 최적화
스키마 디자인
액세스 패턴
예약 용량
(Reserved
capacity)
사용 후 최적화
용량 스토리지 빌링
예)
WriteCapacityUnit-Hrs
ReadCapacityUnit-Hrs
예)
TimedStorage-ByteHrs

Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Specialist SA, WWSO, AWS ::: AWS Data Roadshow 2023

Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Specialist SA, WWSO, AWS ::: AWS Data Roadshow 2023

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Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Specialist SA, WWSO, AWS ::: AWS Data Roadshow 2023