This document discusses Amazon DynamoDB Accelerator (DAX), a fully managed caching service for DynamoDB. DAX provides in-memory caching that can improve the performance of DynamoDB by an order of magnitude by eliminating disk I/O operations and reducing latency from milliseconds to microseconds. DAX is API compatible with DynamoDB, making it easy to add caching without code changes. It provides high availability across Availability Zones and automatic replication of data. DAX can cache entire tables or specific hot keys to improve performance and reduce costs.

1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon DynamoDB Accelerator (DAX)
DynamoDB Just Got Faster

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Amazon DynamoDB
Fast and flexible NoSQL database
service for any scale

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DynamoDB Customers
Ad TechGaming IoTMobile Web

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Platform

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Performance
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DynamoDB: consistent performance at scale
ConsistentSingle-Digit Millisecond Latency
Requests(millions)
Latency(milliseconds)
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“We cannot afford to waste a 3 or 4 milliseconds...”
“We have 20ms to make a decision… ”

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Scalability Performance Security Availability & Data Protection Manageability Development Platform

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DynamoDB
Cache
Your Applications
Traditional side cache
DynamoDB
Your Applications
Caching made simple
DynamoDB Accelerator

10. DAX Demo

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Milliseconds to
microseconds

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Scalability Performance Security Availability & Data Protection Manageability Development Platform
• Fully managed, highly available: handles all software management,
fault tolerant, replication across multi-AZs within a region
• DynamoDB API compatible: seamlessly caches DynamoDB API
calls, no application re-writes required
• Write-through: DAX handles caching for writes
• Flexible: Configure DAX for one table or many
• Scalable: scales-out to any workload with up to 10 read replicas
• Manageability: fully integrated AWS service: Amazon CloudWatch,
Tagging for DynamoDB, AWS Console
• Security: Amazon VPC, AWS IAM, AWS CloudTrail, AWS
Organizations
Features
DynamoDB Accelerator (DAX)
DynamoDB
Your Applications
DynamoDB Accelerator

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Fully managed, highly available

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High Availability
Scalability Performance Security Availability & Data Protection Manageability Development Platform
AMAZON VPC
EC2
App
DAX
SDK
DynamoDB
AZ1
AZ2
AZ3

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DynamoDB API compatible

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Q: How easy is it to add in-
memory caching with DAX?
A: Comment out the this code
and add this code
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• Read APIs: GetItem, BatchGetItem, Query, Scan
• Modify APIs: PutItem, UpdateItem, DeleteItem,
BatchWriteItem
• Control plane APIs: Not supported (CreateTable,
DeleteTable, etc.)
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DAX is API compatible with DynamoDB

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Scalability Performance Security Availability & Data Protection Manageability Development Platform
DAX has two caches
Query Cache {query, scan}
Item Cache {GetItem, PutItem}
key, value
query text, result set

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Write-through

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Scalability Performance Security Availability & Data Protection Manageability Development Platform
DynamoDB Accelerator (DAX): Reads
DynamoDB
Your Applications
DynamoDB Accelerator
t=1 GetItem
t=2 Cache Miss
t=3 GetItem
t=4 Populate cache
t=5 Return item

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Scalability Performance Security Availability & Data Protection Manageability Development Platform
DynamoDB Accelerator (DAX): Reads
DynamoDB
Your Applications
DynamoDB Accelerator
t=1 GetItem
t=2 Cache Hit
t=3 Return item

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DynamoDB Accelerator (DAX): Write-through
DynamoDB
Your Applications
DynamoDB Accelerator
t=1 PutItem
t=2 Write
t=3 Populate cache
t=4 Return item

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DynamoDB Accelerator (DAX): Read after Write
DynamoDB
Your Applications
DynamoDB Accelerator
t=1 GetItem
t=2 Cache Hit
t=3 Return item

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Flexible

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DynamoDB Accelerator (DAX): Flexible
DynamoDB
Your Application
DynamoDB Accelerator
Table #1
DynamoDB
Your Application
DynamoDB Accelerator
Table #1
Table #2
DynamoDB
Your Applications
DynamoDB Accelerator
Table #1
DynamoDB
Your Applications
DynamoDB Accelerator
Table #1
Table #2
One-to-One One-to-Many Many-to-One Many-to-Many

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Scalable

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Scaling DAX
. . .
Scale Up
(15.25 GiB to 244 GiB)
Scale-out
Scale Out
(up to 10 replicas)
Scale-up
. . .
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Manageability

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Amazon
CloudWatch
AWS Management
Console
Cost-based
Tagging

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Cache Eviction
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Time-to-live (TTL) Least Recently Used
(LRU)
Write-through
eviction

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Security

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VPC subnet IAM
AWS
CloudTrail
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Customer scenarios

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Customer Use Case #1: Unpredictable spikes

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Customer Use Case #2: Speed
Response times in microseconds

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Customer Use Cases
DynamoDB
App
DAX
DynamoDB
App
DynamoDB
App
Write-Through Cache
Write-Around Cache
Write-Back Cache
(not available today)
1 2
34
1 3
42
1
23
DAX
DAX

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Repeated users are now being handled by the DAX cache
without making the more expensive (in both latency & cost)
call to DynamoDB
Shahar Kobrinky
VP of Architecture and Scale at Eyeview
“
”
DAX represents a big opportunity for us to
find the optimal balance between infrastructure cost and
system performance
Brandon O’Brien
Principle Software Engineer, Expedia, Inc.
“
”
DynamoDB Accelerator (DAX)

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The AWS team has taken a best-practice architectural
pattern and turned it into something repeatable and
valuable for its customers
Glenn Nethercutt
Chief Architect, Genesys
“
”
The ability to supercharge DynamoDB with DAX is
something we're looking forward to
Pat Malatack
General Manager of Twilio Messaging
“
”
DynamoDB Accelerator (DAX)

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Key Benefits
• Fast performance: Microseconds response
times at millions of reads/sec from single DAX
cluster
• Ease of use: DynamoDB API compatible -
requires minimal code change for existing
applications, simplifying developer experience
• Lower costs: Reduce provisioned read
capacity for DynamoDB tables for tables with
hot data
DynamoDB Accelerator (DAX) In public preview
DynamoDB
Your Applications
DynamoDB Accelerator

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FAQs

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Q: Does DAX invalidate query result sets
with puts, updates or deletes?
Scenario:
t=1 Query
t=2 PutItem
t=3 Query
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Q: How does DAX handle strongly
consistent reads?
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Q: Does DAX help with hot-keys?
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Q: What are the current limitations?
• Java SDK only
• Regions: N. Virginia, Oregon, Ireland
• Instances: r3
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45. Thank you!