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Also known as: FaaS
Running code without provisioning or managing servers, with automatic scaling and per-execution billing.
DESCRIPTION
Serverless is a cloud execution model where the provider manages servers, scaling, and availability, letting teams focus on code. It often manifests as Functions as a Service (FaaS) and Backend as a Service (BaaS). Workloads are typically event-driven and stateless, with fine-grained scaling to zero when idle. Benefits include reduced ops overhead, faster iteration, and cost efficiency for spiky workloads. Trade-offs include cold starts, limited execution time, and potential vendor lock-in. Serverless integrates with managed services (queues, storage, APIs) to build complete applications. It is widely used for APIs, data processing, and automation.
ALTERNATIVE DEFINITIONS
AWS
AWS Lambda is a serverless, event-driven compute service that lets you run code without provisioning or managing servers.
Highlights event-driven nature and no server management within AWS Lambda.
CNCF
Serverless computing refers to the concept of building and running applications that do not require server management.
Emphasizes removal of server management responsibilities from developers.
RELATED TERMS
Function as a Service Backend as a Service Event-Driven Architecture Microservices Kubernetes Autoscaling API Gateway Edge Computing Initialization
COMPETING TERMS
RELATIONS
KNOWLEDGE AREAS
Cloud Platform & Tooling Software Engineering Infrastructure
TARGET AUDIENCE
Cloud Architect Software Developer DevOps Engineer Data Engineer AI Engineer MLOps Engineer Solution Architect
EXTERNAL SOURCES
- Wikipedia - Serverless computing
- Microsoft - Azure serverless architecture guidance
- Google Cloud - Google serverless platform overview
- AWS - AWS serverless overview and services
TOP QUESTIONS
What does Serverless mean in practice?
Serverless means you deploy code without managing servers, scaling, or patching. The provider handles infrastructure while you pay per execution and time used.
Category: Definition
Why choose Serverless for APIs and data pipelines?
Serverless excels for event-driven workloads and spiky traffic, offering automatic scaling, cost efficiency, and fast iteration for APIs, ETL triggers, and background jobs.
Category: Relevancy
What are common pitfalls when adopting Serverless?
Common pitfalls include cold-start latency, state management challenges, tight coupling to provider services, and insufficient observability or local testing strategies.
Category: Mistakes
How does Serverless compare to Containers?
Serverless abstracts servers and scales per request automatically, while containers give more control over runtime and portability but require orchestration and capacity planning.
Category: Alternatives
How is Serverless monitored and observed?
Use provider-native logs, metrics, and traces, integrate with OpenTelemetry, and monitor cold starts, concurrency, errors, and latency. Structured logging and correlation IDs help tracing.
Category: Management
What workloads are a poor fit for Serverless?
Long-running, stateful, or latency-critical workloads with heavy startup times often fit poorly, as do cases needing specialized networking or custom OS-level dependencies.
Category: Risk
What is a hot topic in Serverless today?
Serverless containers, function orchestration, Generative AI integrations, and improved cold-start mitigation are hot topics. Multi-cloud portability and cost governance are also trending.
Category: Topic
How do I start learning Serverless?
Begin with a simple function on your cloud provider, integrate triggers (HTTP, queue, storage), add tests and monitoring, then expand to workflows and APIs.
Category: GettingStarted
How does vendor lock-in affect Serverless?
Tight coupling to proprietary event sources and runtimes can hinder portability. Abstraction layers, open standards, and modular architecture reduce lock-in risk.
Category: Risks