Stop 13 · Cloud Migration & Multi-CloudTopics · 6/8

Multi-Cloud Strategy & Trade-offs

In short

"Let's use AWS and Azure and GCP, so we're never stuck!" sounds smart in a meeting. Then your team needs to learn three IAM systems and three billing consoles. Multi-cloud has real costs.

Using more than one cloud provider — for redundancy, avoiding lock-in, or best-of-breed services — a real strategy with real added operational and cost complexity, not a default best practice.

The blob character walks between two small coaching buildings with a heavy backpack and books.

Think of it like this

Two coaching classes

You join one coaching centre for maths and another for physics, because each has the best teacher. Smart, but now you travel twice, juggle two timetables, carry two sets of notes, and pay two fees. Worth it only if the teachers are truly better.

Watch it happen

Reasons for multi-cloud, and what each costs

Multi-cloud?

Good reasons

Best-of-breed

Acquired company

Customer demands

What it costs

Double skills

Egress fees

1/5Multi-cloud means running real workloads on two or more providers. It's a strategy with a price, not a default.

The big ideas

What you need to know

Multi-cloud vs hybrid

Hybrid joins on-premises with a cloud. Multi-cloud uses more than one public cloud. Many companies do both.

Split by workload

The simplest pattern: each app lives fully in one cloud. Splitting one app across clouds is much harder.

Redundancy is rarely cheap

Running the same app actively on two clouds for failover doubles the work. Multi-region in one cloud is usually enough.

Common tools help

Terraform, Kubernetes and shared monitoring tools reduce the pain, but don't remove provider differences.

See it in code

Walk through the code

hcl

1provider "aws" {2  region = "ap-south-1"3}4 5provider "google" {6  project = "campus-analytics"7  region  = "asia-south1"8}9 10resource "aws_s3_bucket" "uploads" {11  bucket = "campus-app-uploads"12}13 14resource "google_bigquery_dataset" "events" {15  dataset_id = "app_events"16  location   = "asia-south1"17}

1/3Two providers, each with its own region and credentials.

One Terraform project can manage two clouds. Same tool, but each resource is still provider-specific.

Save yourself the pain

Common mistakes

Oops

Going multi-cloud on day one "to avoid lock-in" with a team of three.

Do this instead

Get very good at one cloud first. Add a second when there's a clear business reason.

Oops

Putting the app in one cloud and its database in another.

Do this instead

Keep chatty parts together. Every query across clouds adds latency and data transfer fees.

Your mission

Write a one-page decision

~25 min

Quick check

Which is the strongest reason to run a workload on a second cloud?

Go deeper

1List 2 legitimate reasons a company might choose multi-cloud despite the added complexity.
2Learn why 'avoiding vendor lock-in' is a commonly cited but often overstated multi-cloud justification.
3Understand multi-cloud usually means higher operational overhead, not automatically higher resilience.