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Amazon S3

S3 Use cases

  • Backup and storage
  • Disaster Recovery
  • Archive
  • Hybrid Cloud storage
  • Application hosting
  • Media hosting
  • Data lakes & big data analytics
  • Software delivery
  • Static website

Amazon S3 Overview - Buckets

  • Amazon S3 allows people to store objects (files) in “buckets” (directories)
  • Buckets must have a globally unique name (across all regions all accounts)
  • Buckets are defined at the region level
  • S3 looks like a global service but buckets are created in a region
  • Naming convention
    • No uppercase
    • No underscore
    • 3-63 characters long
    • Not an IP
    • Must start with lowercase letter or number

Amazon S3 Overview - Objects

  • Objects (files) have a Key
  • The key is the FULL path:
    • s3://my-bucket/my_file.txt
    • s3://my-bucket/my_folder1/another_folder/my_file.txt
  • The key is composed of prefix + object name
    • s3://my-bucket/my_folder1/another_folder/my_file.txt
  • There’s no concept of “directories” within buckets (although the UI will trick you to think otherwise)
  • Just keys with very long names that contain slashes (“/”)
  • Object values are the content of the body:
    • Max Object Size is 5TB (5000GB)
    • If uploading more than 5GB, must use “multi-part upload”
  • Metadata (list of text key / value pairs – system or user metadata)
    • Tags (Unicode key / value pair – up to 10) – useful for security / lifecycle
    • Version ID (if versioning is enabled)

S3 Security

  • User based
    • IAM policies - which API calls should be allowed for a specific user from IAM console
  • Resource Based
    • Bucket Policies - bucket wide rules from the S3 console - allows cross account
    • Object Access Control List (ACL) – finer grain
    • Bucket Access Control List (ACL) – less common
  • Note: an IAM principal can access an S3 object if
    • the user IAM permissions allow it OR the resource policy ALLOWS it
    • AND there’s no explicit DENY
  • Encryption: encrypt objects in Amazon S3 using encryption keys

S3 Bucket Policies

  • JSON based policies
    • Resources: buckets and objects
    • Actions: Set of API to Allow or Deny
    • Effect: Allow / Deny Principal: The account or user to apply the policy to
  • Use S3 bucket for policy to:
    • Grant public access to the bucket
    • Force objects to be encrypted at upload
    • Grant access to another account (Cross Account)
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "sid": "PublicRead",
      "Effect": "Allow",
      "Principal": "*",
      "Action": [
        "s3:GetObject"
      ],
      "Resource": [
        "arn:aws:s3::examplebucket/*"
      ]
    }
  ]
}

Bucket settings for Block Public Access

  • Block all public access: On

    • Block public access to buckets and objects granted through new access control lists (ACLS): On
    • Block public access to buckets and objects granted through any access control lists (ACLS): On
    • Block public access to buckets and objects granted through new public bucket or access point policies: On
    • Block public and cross-account access to buckets and objects through any public bucket or access point policies: On

  • These settings were created to prevent company data leaks

  • If you know your bucket should never be public, leave these on

  • Can be set at the account level

S3 Websites

  • S3 can host static websites and have them accessible on the www
  • The website URL will be:
  • bucket-name.s3-website-AWS-region.amazonaws.com OR
  • bucket-name.s3-website.AWS-region.amazonaws.com
  • If you get a 403 (Forbidden) error, make sure the bucket policy allows public reads!

S3 - Versioning

  • You can version your files in Amazon S3
  • It is enabled at the bucket level
  • Same key overwrite will increment the “version”: 1, 2, 3….
  • It is best practice to version your buckets
    • Protect against unintended deletes (ability to restore a version)
    • Easy roll back to previous version
  • Notes:
    • Any file that is not versioned prior to enabling versioning will have version “null”
    • Suspending versioning does not delete the previous versions

S3 Access Logs

  • For audit purpose, you may want to log all access to S3 buckets
  • Any request made to S3, from any account, authorized or denied, will be logged into another S3 bucket
  • That data can be analyzed using data analysis tools…
  • Very helpful to come down to the root cause of an issue, or audit usage, view suspicious patterns, etc…

S3 Replication (CRR & SRR)

  • Must enable versioning in source and destination
  • Cross Region Replication (CRR)
  • Same Region Replication (SRR)
  • Buckets can be in different accounts
  • Copying is asynchronous
  • Must give proper IAM permissions to S3
  • CRR - Use cases: compliance, lower latency access, replication across accounts
  • SRR – Use cases: log aggregation, live replication between production and test accounts

S3 Storage Classes

S3 Durability and Availability

  • Durability:
    • High durability (99.999999999%, 11 9’s) of objects across multiple AZ
    • If you store 10,000,000 objects with Amazon S3, you can on average expect to incur a loss of a single object once every 10,000 years
    • Same for all storage classes
  • Availability:
    • Measures how readily available a service is
    • Varies depending on storage class
    • Example: S3 standard has 99.99% availability = not available 53 minutes a year

S3 Standard General Purpose

  • 99.99% Availability
  • Used for frequently accessed data
  • Low latency and high throughput
  • Sustain 2 concurrent facility failures
  • Use Cases: Big Data analytics, mobile & gaming applications, content distribution…

S3 Storage Classes - Infrequent Access

  • For data that is less frequently accessed, but requires rapid access when needed
  • Lower cost than S3 Standard

S3 Standard Infrequent Access (S3 Standard-IA)

  • 99.9% Availability
  • Use cases: Disaster Recovery, backups

S3 One Zone Infrequent Access (S3 One Zone-IA)

  • High durability (99.999999999%) in a single AZ; data lost when AZ is destroyed
  • 99.5% Availability
  • Use Cases: Storing secondary backup copies of on-premise data, or data you can recreate

Amazon S3 Glacier Storage Classes

  • Low-cost object storage meant for archiving / backup
  • Pricing: price for storage + object retrieval cost

Amazon S3 Glacier Instant Retrieval

  • Millisecond retrieval, great for data accessed once a quarter
  • Minimum storage duration of 90 days

Amazon S3 Glacier Flexible Retrieval (formerly Amazon S3 Glacier)

  • Expedited (1 to 5 minutes), Standard (3 to 5 hours), Bulk (5 to 12 hours) – free
  • Minimum storage duration of 90 days

Amazon S3 Glacier Deep Archive - for long term storage

  • Standard (12 hours), Bulk (48 hours)
  • Minimum storage duration of 180 days

S3 Intelligent-Tiering

  • Small monthly monitoring and auto-tiering fee
  • Moves objects automatically between Access Tiers based on usage
  • There are no retrieval charges in S3 Intelligent-Tiering
  • Frequent Access tier (automatic): default tier
  • Infrequent Access tier (automatic): objects not accessed for 30 days
  • Archive Instant Access tier (automatic): objects not accessed for 90 days
  • Archive Access tier (optional): configurable from 90 days to 700+ days
  • Deep Archive Access tier (optional): config. from 180 days to 700+ days

S3 Object Lock & Glacier Vault Lock

  • S3 Object Lock
    • Adopt a WORM (Write Once Read Many) model
    • Block an object version deletion for a specified amount of time
  • Glacier Vault Lock
    • Adopt a WORM (Write Once Read Many) model
    • Lock the policy for future edits (can no longer be changed)
    • Helpful for compliance and data retention

Shared Responsibility Model for S3

AWS YOU
Infrastructure (global security, durability, availability, sustain concurrent loss of data in two facilities) S3 Versioning, S3 Bucket Policies, S3 Replication Setup
Configuration and vulnerability analysis Logging and Monitoring, S3 Storage Classes
Compliance validation Data encryption at rest and in transit

AWS Snow Family

  • Highly-secure, portable devices to collect and process data at the edge, and migrate data into and out of AWS
  • Data migration:
    • Snowcone
    • Snowball Edge
    • Snowmobile
  • Edge computing:
    • Snowcone
    • Snowball Edge

Data Migrations with AWS Snow Family

  • AWS Snow Family: offline devices to perform data migrations If it takes more than a week to transfer over the network, use Snowball devices!

  • Challenges:

    • Limited connectivity
    • Limited bandwidth
    • High network cost
    • Shared bandwidth (can’t maximize the line)
    • Connection stability

Time to Transfer

Data 100 Mbps 1Gbps 10Gbps
10 TB 12 days 30 hours 3 hours
100 TB 124 days 12 days 30 hours
1 PB 3 years 124 days 12 days

Snowball Edge (for data transfers)

  • Physical data transport solution: move TBs or PBs of data in or out of AWS
  • Alternative to moving data over the network (and paying network fees)
  • Pay per data transfer job
  • Provide block storage and Amazon S3-compatible object storage
  • Snowball Edge Storage Optimized
    • 80 TB of HDD capacity for block volume and S3 compatible object storage
  • Snowball Edge Compute Optimized
    • 42 TB of HDD capacity for block volume and S3 compatible object storage
  • Use cases: large data cloud migrations, DC decommission, disaster recovery

AWS Snowcone

  • Small, portable computing, anywhere, rugged & secure, withstands harsh environments
  • Light (4.5 pounds, 2.1 kg)
  • Device used for edge computing, storage, and data transfer
  • 8 TBs of usable storage
  • Use Snowcone where Snowball does not fit (space-constrained environment)
  • Must provide your own battery / cables
  • Can be sent back to AWS offline, or connect it to internet and use AWS DataSync to send data

AWS Snowmobile

  • Transfer exabytes of data (1 EB = 1,000 PB = 1,000,000 TBs)
  • Each Snowmobile has 100 PB of capacity (use multiple in parallel)
  • High security: temperature controlled, GPS, 24/7 video surveillance
  • Better than Snowball if you transfer more than 10 PB
Properties Snowcone Snowball Edge Storage Optimized Snowmobile
Storage Capacity 8 TB usable 80 TB usable < 100 PB
Migration Size Up to 24 TB, online and offline Up to petabytes, offline Up to exabytes, offline

Snow Family - Usage Process

  1. Request Snowball devices from the AWS console for delivery
  2. Install the snowball client / AWS OpsHub on your servers
  3. Connect the snowball to your servers and copy files using the client
  4. Ship back the device when you’re done (goes to the right AWS facility)
  5. Data will be loaded into an S3 bucket
  6. Snowball is completely wiped

What is Edge Computing?

  • Process data while it’s being created on an edge location
    • A truck on the road, a ship on the sea, a mining station underground...
  • These locations may have
    • Limited / no internet access
    • Limited / no easy access to computing power
  • We setup a Snowball Edge / Snowcone device to do edge computing
  • Use cases of Edge Computing:
    • Preprocess data
    • Machine learning at the edge
    • Transcoding media streams
  • Eventually (if need be) we can ship back the device to AWS (for transferring data for example)

Snow Family - Edge Computing

  • Snowcone (smaller)
    • 2 CPUs, 4 GB of memory, wired or wireless access
    • USB-C power using a cord or the optional battery
  • Snowball Edge – Compute Optimized
    • 52 vCPUs, 208 GiB of RAM
    • Optional GPU (useful for video processing or machine learning)
    • 42 TB usable storage
  • Snowball Edge – Storage Optimized
    • Up to 40 vCPUs, 80 GiB of RAM
    • Object storage clustering available
  • All: Can run EC2 Instances & AWS Lambda functions (using AWS IoT Greengrass)
  • Long-term deployment options: 1 and 3 years discounted pricing

AWS OpsHub

  • Historically, to use Snow Family devices, you needed a CLI (Command Line Interface tool)
  • Today, you can use AWS OpsHub (a software you install on your computer / laptop) to manage your Snow Family Device
    • Unlocking and configuring single or clustered devices
    • Transferring files
    • Launching and managing instances running on Snow Family Devices
    • Monitor device metrics (storage capacity, active instances on your device)
    • Launch compatible AWS services on your devices (ex: Amazon EC2 instances, AWS DataSync, Network File System (NFS))

Hybrid Cloud for Storage

  • AWS is pushing for ”hybrid cloud”
    • Part of your infrastructure is on-premises
    • Part of your infrastructure is on the cloud
  • This can be due to
    • Long cloud migrations
    • Security requirements
    • Compliance requirements
    • IT strategy
  • S3 is a proprietary storage technology (unlike EFS / NFS), so how do you expose the S3 data on-premise?
  • AWS Storage Gateway!

AWS Storage Gateway

  • Bridge between on-premise data and cloud data in S3
  • Hybrid storage service to allow on- premises to seamlessly use the AWS Cloud
  • Use cases: disaster recovery, backup & restore, tiered storage
  • Types of Storage Gateway:
    • File Gateway
    • Volume Gateway
    • Tape Gateway
  • No need to know the types at the exam

Amazon S3 - Summary

  • Buckets vs Objects: global unique name, tied to a region
  • S3 security: IAM policy, S3 Bucket Policy (public access), S3 Encryption
  • S3 Websites: host a static website on Amazon S3
  • S3 Versioning: multiple versions for files, prevent accidental deletes
  • S3 Access Logs: log requests made within your S3 bucket
  • S3 Replication: same-region or cross-region, must enable versioning
  • S3 Storage Classes: Standard, IA, 1Z-IA, Intelligent, Glacier, Glacier Deep Archive
  • S3 Lifecycle Rules: transition objects between classes
  • S3 Glacier Vault Lock / S3 Object Lock: WORM (Write Once Read Many)
  • Snow Family: import data onto S3 through a physical device, edge computing
  • OpsHub: desktop application to manage Snow Family devices
  • Storage Gateway: hybrid solution to extend on-premises storage to S3

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