Mapping the Cloud: A Practical Guide to AWS, Azure, and GCP Services

Compute: Finding Your Execution Model

Compute is the engine of your application. Most developers should start with Serverless functions—like

,

Azure Functions

, or

Google Cloud Functions

—because they offer a generous free tier and remove the burden of server management. You write code, and the provider runs it on demand. However, if your project requires strict environment control, you might look toward Containers. Solutions like

Google Cloud Run

or

AWS Fargate

provide a middle ground, while

Kubernetes

offers the ultimate, albeit complex, orchestration for massive scales.

Storage and Database Strategies

Storing a PDF is fundamentally different from storing user profiles. For static assets, Object Storage is the standard.

and

Azure Blob Storage

act as infinite digital attics, storing data as discrete objects with metadata. For structured data that requires frequent querying, you move into Managed Databases. Relational SQL databases are the bedrock for most apps, but for high-velocity scalability, NoSQL options like

DynamoDB

or

Cosmos DB

trade rigid schema for performance.

Choosing the Right Path

Every cloud provider can likely handle your workload. The real differentiation lies in pricing structures and specialized services like AI and machine learning. As you design your system, prioritize cost transparency and avoid service lock-in where possible. The cloud isn't just a place to host code; it's a toolkit that, when used methodically, accelerates development cycles and scales with your success.