Function-as-a-Service, also known as FaaS, is a cloud computing approach that allows code to run without the complex infrastructure that comes with a microservice architecture.
Storing and executing code, as a rule, requires the creation and management of infrastructure, further in brackets (physical or virtual server), OS, components, services, and so on) FaaS is a special case of serverless (serverless) architecture.
A serverless architecture does not mean there are no physical servers, but it does mean that a third party, rather than the end user, is responsible for configuring, managing and maintaining them.
Responding to various events or triggers, a part of the code implemented through FaaS is executed automatically, regardless of other parts of the code. The client pays only for the time during which the program is executed (by the second).
A function is the smallest executable unit, typically time-limited by the service provider for maximum efficiency. This is the next step in “detailing” after microservices.
Benefits of FaaS
Focus on development
You do not need to think about the technology stack, consumed resources, administer servers and balance their load. The result is faster time to market for products or updates.
More simple code
Interaction with other PaaS services
FaaS interacts with other PaaS services by running code through FaaS, you can work with DBaaS or K8aaS, i.e. without your own infrastructure, you get a fully-fledged application running in the cloud
The provider makes your function available via an API and manages resource allocation. Functions are tied to events, not to resources, they are easily scalable this is the main characteristic of FaaS
You pay only for the time during which the application works (uses computing power)
Short life cycle
It means more stability, lower costs, faster start-up times. Especially helps cold start
Those who want to test resource-intensive code, but do not want cannot deploy the infrastructure for this
Those who have intermittent loads and need the most detailed scaling fork
There is a need to speed up
Those who want to accelerate development in conditions of limited human resources
Lots of pending tasks
Those who have a large number of pending or background tasks
Kubernetes Cluster Management Automation
Business needs analysis
Focus on the product, not resources to scale
Why are we
Test period 1 month
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