Serverless compute is a cloud execution model where infrastructure management is abstracted away, allowing developers to deploy code that runs in response to events with automatic scaling and pay-per-use billing. The three major providers—AWS Lambda, Azure Functions, and Google Cloud Functions—each offer distinct runtime support, pricing structures, and integration ecosystems, while sharing challenges like cold starts and execution time limits. Understanding the nuances of concurrency models, deployment strategies, and observability patterns is critical: a function that cold-starts in 2 seconds might be fine for batch processing but unacceptable for user-facing APIs, and choosing between provisioned concurrency versus SnapStart can mean the difference between $50/month and$500/month in compute costs.