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Susan Chan
Senior Product Manager, Amazon S3
July 13, 2016
Deep Dive on Amazon S3

Recent innovations on S3
Visibility & control
of your data
New storage
offering
More data
ingestion options
• Standard -
Infrequent Access
• Amazon CloudWatch
integration
• AWS CloudTrail integration
• New lifecycle policies
• Event notifications
• Bucket limit increases
• Read-after-write consistency
• AWS Snowball (80 TB)
• S3 Transfer Acceleration
• Amazon Kinesis Firehose
• Partner integration

Choice of storage classes on S3
Standard
Active data Archive dataInfrequently accessed data
Standard - Infrequent Access Amazon Glacier

File sync and share
+
consumer file
storage
Backup and archive +
disaster recovery
Long-retained
data
Use cases for Standard-Infrequent Access

11 9s of durability
Standard - Infrequent Access storage
Designed for
99.9% availability
Durable Available
Same as Standard storage
High performance
• Bucket policies
• AWS Identity and Access
Management (IAM) policies
• Many encryption options
Secure
• Lifecycle management
• Versioning
• Event notifications
• Metrics
Integrated
• No impact on user
experience
• Simple REST API
Easy to use

- Directly PUT to Standard - IA
- Transition Standard to Standard - IA
- Transition Standard - IA to Amazon Glacier
storage
- Expiration lifecycle policy
- Versioning support
Standard - Infrequent Access storage
Integrated: Lifecycle management
Standard - Infrequent Access

Transition older objects to Standard - IA

Lifecycle policy
Standard Storage -> Standard - IA
<LifecycleConfiguration>
<Rule>
<ID>sample-rule</ID>
<Prefix>documents/</Prefix>
<Status>Enabled</Status>
<Transition>
<Days>30</Days>
<StorageClass>STANDARD-IA</StorageClass>
</Transition>
<Transition>
<Days>365</Days>
<StorageClass>GLACIER</StorageClass>
</Transition>
</Rule>
</LifecycleConfiguration>
Standard - Infrequent Access storage

Standard Storage -> Standard - IA
<LifecycleConfiguration>
<Rule>
<ID>sample-rule</ID>
<Prefix>documents/</Prefix>
<Status>Enabled</Status>
<Transition>
<Days>30</Days>
<StorageClass>STANDARD-IA</StorageClass>
</Transition>
<Transition>
<Days>365</Days>
<StorageClass>GLACIER</StorageClass>
</Transition>
</Rule>
</LifecycleConfiguration>
Standard - IA Storage -> Amazon Glacier
Standard - Infrequent Access storage
Lifecycle policy

Data ingestion into S3

S3 Transfer Acceleration
S3 Bucket
AWS Edge
Location
Uploader
Optimized
Throughput!
Typically 50%-400% faster
Change your endpoint, not your code
No firewall exceptions
No client software required
56 global edge locations

Rio De
Janeiro
Warsaw New York Atlanta Madrid Virginia Melbourne Paris Los
Angeles
Seattle Tokyo Singapore
Time[hrs.]
500 GB upload from these edge locations to a bucket in Singapore
Public Internet
How fast is S3 Transfer Acceleration?
S3 Transfer Acceleration

Getting started
1. Enable S3 Transfer Acceleration on
your S3 bucket.
2. Update your endpoint to
<bucket-name>.s3-accelerate.amazonaws.com.
3. Done!

How much will it help me?
s3speedtest.com

Tip: Parallelizing PUTs with multipart uploads
• Increase aggregate throughput by
parallelizing PUTs on high-bandwidth
networks
• Move the bottleneck to the network,
where it belongs
• Increase resiliency to network errors;
fewer large restarts on error-prone
networks
Best Practice

Incomplete multipart upload expiration policy
• Partial upload does incur storage charges
• Set a lifecycle policy to automatically make
incomplete multipart uploads expire after a
predefined number of days
Incomplete multipart
upload expiration
Best Practice

Enable policy with the Management Console

Example lifecycle policy
<LifecycleConfiguration>
<Rule>
<ID>sample-rule</ID>
<Prefix>MyKeyPrefix/</Prefix>
<Status>rule-status</Status>
<AbortIncompleteMultipartUpload>
<DaysAfterInitiation>7</DaysAfterInitiation>
</AbortIncompleteMultipartUpload>
</Rule>
</LifecycleConfiguration>
Or enable a policy with the API

Rob Hruska
Engineering Director

3k collegiate/pro
125k amateur teams

8+ petabytes
4,000,000,000+ objects
35 hours video / minute

• Video Upload/Storage Pipeline
• S3 Transfer Acceleration
• Standard – Infrequent Access

Browsers
Amazon
CloudFront
Hudl Uploader
Upload-Only
Bucket
Application
Video
Processing
Mobile Apps
Metadata / Object Locations (HTTP)
Video
Amazon
SQS
Permanent
Bucket
Hudl video lifecycle

Amazon
CloudFront
Application
Video
Processing
Browsers
Mobile Apps
Metadata / Object Locations (HTTP)
Amazon
SQS
Permanent
Bucket
Hudl Uploader
Upload-Only
Bucket
Video
Hudl video lifecycle

Amazon
CloudFront
Application
Video
Processing
Browsers
Mobile Apps
Metadata / Object Locations (HTTP)
Amazon
SQS
Permanent
Bucket
Hudl Uploader
Upload-Only
Bucket
Video
Transfer
Acceleration
Hudl video lifecycle – Transfer Acceleration

Browsers
Amazon
CloudFront
Hudl Uploader
Upload-Only
Bucket
Application
Video
Processing
Mobile Apps
Metadata / Object Locations (HTTP)
Video
Amazon
SQS
Permanent
Bucket
Hudl video lifecycle

Browsers
Amazon
CloudFront
Hudl Uploader
Upload-Only
Bucket
Application
Video
Processing
Mobile Apps
Metadata / Object Locations (HTTP)
Video
Amazon
SQS
Permanent
Bucket
Hudl video lifecycle – Standard - IA

Standard - IA
> 50% transitioned
Standard - IA
(GB)
Standard (GB)

Video views/week
Finding an ideal Standard - IA transition lifecycle
Video
Views
Weeks After Created

Teams
N-N
Teams
N-N
Teams
N-N
Game
Video
Highlight
Video
Recruit
Video
Bucket organization

Amazon
Glacier
Amazon
S3
Future thoughts – Amazon Glacier
Amazon S3
Standard -
IA
Amazon S3
Standard

Tip #1: Use versioning
• Protects from accidental overwrites and
deletes
• New version with every upload
• Easy retrieval of deleted objects and roll
back to previous versions
Best Practice
Versioning

Tip #2: Use lifecycle policies
• Automatic tiering and cost controls
• Includes two possible actions:
• Transition: archives to Standard - IA or Amazon
Glacier based on object age you specified
• Expiration: deletes objects after specified time
• Actions can be combined
• Set policies at the bucket or prefix level
• Set policies for current version or non-
current versions
Lifecycle policies

Versioning + lifecycle policies

Expired object delete marker policy
• Deleting a versioned object makes a
delete marker the current version of the
object
• Removing expired object delete marker
can improve list performance
• Lifecycle policy automatically removes
the current version delete marker when
previous versions of the object no
longer exist
Expired object delete
marker

Enable policy with the console
Insert console screen shot

Tip #3: Restrict deletes
• Bucket policies can restrict deletes
• For additional security, enable MFA (multi-factor
authentication) delete, which requires additional
authentication to:
• Change the versioning state of your bucket
• Permanently delete an object version
• MFA delete requires both your security credentials and a
code from an approved authentication device
Best Practice

<my_bucket>/2013_11_13-164533125.jpg
<my_bucket>/2013_11_13-164533126.jpg
<my_bucket>/2013_11_13-164533127.jpg
<my_bucket>/2013_11_13-164533128.jpg
<my_bucket>/2013_11_12-164533129.jpg
<my_bucket>/2013_11_12-164533130.jpg
<my_bucket>/2013_11_12-164533131.jpg
<my_bucket>/2013_11_12-164533132.jpg
<my_bucket>/2013_11_11-164533133.jpg
<my_bucket>/2013_11_11-164533134.jpg
<my_bucket>/2013_11_11-164533135.jpg
<my_bucket>/2013_11_11-164533136.jpg
Use a key-naming scheme with randomness at the beginning for high
TPS
• Most important if you regularly exceed 100 TPS on a bucket
• Avoid starting with a date
• Consider adding a hash or reversed timestamp (ssmmhhddmmyy)
Don’t do this…
Tip #4: Distribute key names

Distributing key names
Add randomness to the beginning of the key name…
<my_bucket>/521335461-2013_11_13.jpg
<my_bucket>/465330151-2013_11_13.jpg
<my_bucket>/987331160-2013_11_13.jpg
<my_bucket>/465765461-2013_11_13.jpg
<my_bucket>/125631151-2013_11_13.jpg
<my_bucket>/934563160-2013_11_13.jpg
<my_bucket>/532132341-2013_11_13.jpg
<my_bucket>/565437681-2013_11_13.jpg
<my_bucket>/234567460-2013_11_13.jpg
<my_bucket>/456767561-2013_11_13.jpg
<my_bucket>/345565651-2013_11_13.jpg
<my_bucket>/431345660-2013_11_13.jpg

Thank you!