Serverless Explained: When It Saves Money, and When It Does Not
What serverless computing is, its benefits for variable workloads, and the trade-offs to consider before adopting it.
Serverless computing lets you run code without managing servers. You write functions, the cloud provider runs them when needed, and you pay for the time they actually run. Servers still exist, but someone else manages them.
How it works
Code runs in response to events: a web request, a file upload, a scheduled time, or a message in a queue. The provider starts the code, runs it, and scales automatically, from zero to many instances.
Benefits
- No servers to patch, scale, or maintain
- Automatic scaling for traffic spikes
- Pay only for actual usage, which suits irregular workloads
- Fast to deploy small, focused pieces of functionality
Good use cases
- APIs with variable traffic
- Scheduled jobs and background tasks
- Processing uploads, such as resizing images
- Webhooks from other services
- Prototypes and early products
Trade-offs
- Cold starts: functions that have not run recently may respond more slowly.
- Time and resource limits on individual functions.
- Costs can exceed traditional servers for constant, high-volume workloads.
- Debugging and monitoring distributed functions requires good tooling.
- Some designs increase dependence on a particular provider.
A balanced approach
Many modern applications combine serverless functions for variable or event-driven work with other hosting for steady workloads.
Serverless removes server management, not engineering judgement.
MOKRIN uses serverless where it fits, often for APIs and background tasks, and helps clients understand the cost model before committing.
