Serverless Architecture
SERVERLESS is a confusing name — there ARE servers running your code; you just don't MANAGE them. The cloud provider handles all the infrastructure (the "server" part is invisible to you). You upload your function. It runs when triggered. You pay only for execution time. This is one of the most popular modern cloud architectures.
How it works. You write small functions (e.g., "process this image" or "send this email"). You upload them to AWS Lambda, Google Cloud Functions, or Azure Functions. You define TRIGGERS (e.g., "when a file is uploaded to S3, run this function"). The cloud automatically runs the function when triggered. Scales from 0 to millions automatically. You pay per execution (often fractions of a cent each).
You build a function with serverless. It gets called 100 times per day. Then suddenly 1 million times per day. What happens?
Tradeoffs. PROS: zero server management; auto-scales; cost-efficient for sporadic workloads; fast to develop. CONS: cold starts (first call after idle is slower); harder to debug; vendor lock-in (your code uses provider-specific APIs); not ideal for long-running tasks. Serverless is great for: APIs, image processing, scheduled tasks, event-driven workflows. Less ideal for: persistent connections, heavy compute lasting hours.
Spot Serverless
Look up "AWS Lambda example" or "serverless architecture diagram." See how a typical app uses dozens of small functions, each doing one thing. This pattern (microservices) has become standard for modern cloud apps.
Serverless is one of the cloud's coolest paradigms. It lets developers focus on CODE instead of INFRASTRUCTURE. The future of much of computing leans this way.
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