Chapter 26: AWS Infrastructure
AWS Infrastructure (officially called AWS Global Infrastructure or AWS Infrastructure Regions & Availability Zones).
This is the physical & logical foundation everything else sits on — EC2, S3, Lambda, VPC, databases, you name it. If you don’t understand AWS Infrastructure, it’s like trying to build a house without knowing where the land is, how big the plot is, or where the power lines run.
Let me explain it like we’re sitting together with a big world map on the table — slow, step-by-step, lots of analogies, real Hyderabad/India examples, the current 2026 numbers, why it matters for performance/security/cost, and a simple way to “see” it in the console.
1. What is AWS Infrastructure? (The Big Picture – No Jargon First)
AWS Infrastructure = the worldwide network of physical data centers + networking that AWS owns and operates to run all its cloud services.
It’s not one big building — it’s thousands of buildings (data centers) spread across the planet, grouped in smart ways so your app can be:
- Fast (low latency for users in Hyderabad)
- Reliable (doesn’t die if one building floods or loses power)
- Compliant (data stays in India if laws require it)
- Scalable (add capacity anywhere in seconds)
Think of it like India’s electricity grid:
- Power plants = data centers
- States/regions = AWS Regions
- Local substations = Availability Zones
- Transmission lines = super-fast private fiber network
- Local transformers near your home = Edge Locations / CloudFront PoPs
You don’t see the grid — you just flip a switch and get power. Same with AWS Infrastructure — you choose a Region → AWS handles the rest.
2. The Three Main Layers of AWS Infrastructure (2026 Numbers)
| Layer | What It Is | Count (Feb 2026) | Purpose / Why It Matters for Hyderabad Users |
|---|---|---|---|
| Regions | Large geographic areas (country / continent level) with isolated infrastructure | 39 launched + several announced (total ~100+ facilities) | Choose closest/low-latency/compliance region (Mumbai or Hyderabad) |
| Availability Zones (AZs) | One or more physically separate data centers inside a Region | 123+ AZs across all Regions | High availability — spread your app so one AZ failure doesn’t kill everything |
| Edge Locations / PoPs | Small caching / delivery points (not full data centers) | 750+ Edge Locations + 15+ Regional Edge Caches | Super-fast content delivery (videos, websites) via CloudFront CDN |
3. Deep Dive: AWS Regions (The Most Important Choice You Make)
A Region = a completely separate geographic area with its own isolated power, networking, and physical security.
- Each Region has multiple AZs (minimum 3, some 4–6).
- Most services are Region-specific (your S3 bucket, EC2 instance, RDS database lives in one Region).
- Regions are chosen for:
- Latency — closer = faster
- Compliance — data residency (India DPDP Act, RBI rules)
- Cost — some Regions cheaper
- Service availability — not every service in every Region yet
India Regions in 2026 (very relevant for us):
| Region Code | Full Name | Availability Zones | Launch Year | Latency from Hyderabad | Best For Us Because… |
|---|---|---|---|---|---|
| ap-south-1 | Asia Pacific (Mumbai) | 3 | 2016 | Very low (~10–20 ms) | Most mature, largest ecosystem |
| ap-south-2 | Asia Pacific (Hyderabad) | 3 | 2022 | Lowest (~5–15 ms) | Closest, growing fast, cheaper data transfer within India |
| ap-southeast-1 | Asia Pacific (Singapore) | 3+ | 2010 | Higher (~40–60 ms) | Backup / multi-region DR |
Real example: Your Zomato-like app in Hyderabad
- Choose ap-south-2 (Hyderabad) → users in Telangana/AP get <15 ms response
- Data stays in India → complies with RBI/data residency rules
- Cheaper data transfer costs inside India vs Singapore Region
4. Deep Dive: Availability Zones (The High-Availability Secret)
An Availability Zone = one or more physically separate data centers inside a Region — far enough apart to survive floods, power outages, fires, but close enough for ultra-low-latency private fiber (metro network).
- Minimum 3 AZs per Region (most have 3–6).
- AZs are connected with redundant, high-speed fiber — you can spread your app across AZs.
- Naming: ap-south-2a, ap-south-2b, ap-south-2c (letter = AZ ID)
Analogy: AZs are different buildings in the same city (Hyderabad):
- Banjara Hills AZ → Gachibowli AZ → Hi-Tech City AZ
- Flood in one area → other buildings keep running
- Traffic between them is super-fast (private network)
Real example (multi-AZ setup):
- Your food delivery app runs:
- 3 EC2 instances (one in each AZ) behind ALB
- RDS database with Multi-AZ (primary in 2a, standby in 2b)
- Power failure in one data center → ALB stops routing to that AZ → RDS fails over in ~60 seconds → app stays up.
This is why AWS promises 99.99%+ availability — you design for it.
5. Edge Locations / Points of Presence (PoPs) – Speed Layer
Edge Locations = small AWS facilities (not full data centers) used mainly for:
- Amazon CloudFront (CDN) — cache images/videos close to users
- AWS Global Accelerator — faster routing
- Lambda@Edge — run code at edge
India has 20+ Edge Locations (Mumbai, Hyderabad area, Chennai, Delhi, Bangalore, Kolkata, etc.).
Example: User in Hyderabad watches Telugu short video
- Original video in S3 (ap-south-2 Hyderabad Region)
- CloudFront caches copy at Hyderabad Edge Location
- User gets video in <1 second instead of 50–100 ms round-trip to Region
6. Quick Hands-On: See the Infrastructure in Console
- Log in to AWS Console
- Top-right → Region dropdown → see all Regions (select ap-south-2 Hyderabad)
- Launch EC2 → see AZ choices (a, b, c)
- Create S3 bucket → note it’s Region-specific
- Search “CloudFront” → create distribution → see global Edge Location map
Summary Table – AWS Infrastructure Cheat Sheet (Feb 2026)
| Layer | What it is | Count (2026) | Key Benefit for Hyderabad Users | Example Choice |
|---|---|---|---|---|
| Region | Isolated geographic area | 39 launched | Low latency + compliance (ap-south-2 Hyderabad) | ap-south-2 |
| Availability Zone | Isolated data center(s) in Region | 123+ | High availability – spread across 3 AZs | 2a, 2b, 2c |
| Edge Location | Small caching/delivery point | 750+ | Fast content (CloudFront) for users in Hyd | Hyderabad PoP |
Bottom line: AWS Infrastructure = the global, resilient, layered foundation that makes the cloud fast, reliable, and compliant. You mostly choose Region → spread across AZs → use Edge for speed.
Got it? This is the “map” you draw first before building anything on AWS.
Next?
- Why choose Hyderabad Region vs Mumbai (latency + cost deep dive)?
- How to design Multi-AZ high-availability app?
- Or latest 2026 Regions & AZ announcements?
Tell me — next class ready! 🚀🌍
