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Every AWS workload needs a placement answer for users, data, and failure boundaries.
In this course, we will learn how AWS locations constrain latency, resilience, compliance, and hybrid connectivity.
We will build a mental model that starts with the largest boundary and drills down to smaller ones.
We will also keep one small workload thread so placement tradeoffs stay concrete.
Placement is the decision of which AWS location boundary will host a workload component or its data.
That decision changes network distance, jurisdiction, and the blast radius of failures.
Latency is driven by physical distance and network hops between users and the workload.
Fault isolation depends on which components share the same physical and operational boundary.
Residency constraints limit where data is stored and processed, which can narrow Region choices.
Hybrid constraints can require local processing near premises, or predictable connectivity back to AWS.
Let’s inspect the main location layers we will use throughout this course.
An AWS account is a security and billing boundary that owns resources and identities.
Account boundaries matter because access controls and audit evidence are evaluated per account.
An AWS Region is a separate geographic area where AWS clusters infrastructure.
Regions are designed to be isolated from other Regions for fault tolerance.
Most AWS services create Regional resources that exist only in the Region selected.
Replication across Regions is service-specific, and AWS does not automatically replicate everything.
An Availability Zone is an isolated location within a Region.
Each Availability Zone consists of one or more discrete data centers in separate facilities.
Availability Zones in a Region connect over low-latency, high-bandwidth, redundant networking.
A best practice is to run production workloads across multiple Availability Zones for higher availability.
An endpoint is the network entry point we send API requests to for a service in a scope.
Picking a Region in tooling often selects a Regional endpoint for that service’s API.
The control plane is the part of a service that creates and configures resources.
The data plane is the part of a service that handles runtime traffic and data operations.
These planes can have different failure modes, so we must verify each with the right evidence.
Working assumption
We will treat Region and Availability Zone as the default fault-isolation boundaries unless stated.
We will use a simple global web app to anchor decisions.
The app has user profiles that must remain available during infrastructure failures.
The app also serves media that benefits from being close to end users.
This thread will let us ask one consistent question as we learn each boundary.
Where should user-facing delivery sit, and where should durable profile data sit, given latency and failure isolation needs.
Let’s visualize the workload components against the location layers we just defined.