Storage for Developers

#architecture #aws #developer #learning

Module Objectives

By the end of this module, learners will be able to:

Understand AWS storage services from a developer perspective
Select the right storage option for different application patterns
Use Amazon S3 programmatically and securely
Configure EBS and EFS for compute workloads
Apply IAM permissions and encryption
Handle durability, availability, and cost

1. Overview of AWS Storage Options

Why Multiple Storage Services?

Different applications need:

Object vs file vs block storage
High durability vs low latency
Shared vs single-instance access

Storage Type ==> Service
Object ==> Amazon S3
Block ==> Amazon EBS
File ==> Amazon EFS
Hybrid / Transfer. ==> DataSync, Storage Gateway

2. Amazon S3 (Simple Storage Service)

What is Amazon S3?

Object storage
Virtually unlimited scale
11 9’s durability

Core S3 Concepts

Bucket
Object
Key
Region-scoped buckets
Global namespace

S3 Storage Classes
Class ==> Use Case
Standard. ==> Frequent access
IA ==> Infrequent access
One Zone-IA. ==> Non-critical data
Glacier Instant ==> Archive, quick access
Glacier Flexible. ==> Archive
Glacier Deep Archive. ==>. Lowest cost

🔑 Storage class affects cost, not durability.

S3 Security & Access Control Access Mechanisms

IAM policies
Bucket policies
ACLs (legacy, discouraged)

Encryption Options

SSE-S3
SSE-KMS
Client-side encryption

Public Access

Block Public Access (default ON)
Bucket policy controls

4. Hands-On Lab: S3 for Developers

Objective
download files from S3 using SDK

import boto3

s3 = boto3.client("s3")

bucket_name = "dev-2801"
object_key = "index1.html"

s3.download_file(
    Bucket=bucket_name,
    Key=object_key,
    Filename="index1.html"
)

print("File downloaded")