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Serverless Devs

Open Source

About Serverless Devs

Serverless Devs provides a platform for AI and function application development. It combines serverless computing with AI application development. It aims to help AI application developers go from idea to commercial deployment through a one-stop service. The platform offers a large number of application templates to choose from.

Products

fc3: Manages the full lifecycle of Alibaba Cloud Function Compute.
fc-stable-diffusion-v3: Deploys Stable Diffusion to Alibaba Cloud Function Compute using Serverless Devs.
start-flask-v3: Creates and deploys the Flask Python web framework to Alibaba Cloud Function Compute.
fc-comfyui-flux: Deploys ComfyUI with Flux to Alibaba Cloud Function Compute.
start-modelscope-v3: Provides a ModelScope application for fc3.0.
volcano-vefaas: Provides core components for Volcano Engine Function Compute VeFaaS.

Used for

Deploying Stable Diffusion to Alibaba Cloud Function Compute
Deploying audio and video transcoding applications to Alibaba Cloud Function Compute
Creating art-style text using the Stable Diffusion Serverless API
Deploying a Flask web framework application to Function Compute
Deploying custom domain name resources for Alibaba Cloud Function Compute

Who it is for

AI application developers
Enterprises that use the platform

From Serverless Devs's own website, read 2026-10-24. How we build listings.

How to evaluate Serverless & Edge Computing

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Serverless Devs. It comes from our Serverless & Function-as-a-Service (FaaS) buyer guide.

25%

Workload Fit & Execution Limits

Max execution duration, memory and payload ceilings, concurrency model and account limits, support for long-running and stateful work (Durable Functions, Durable Objects), and whether your traffic is bursty enough to suit FaaS or steady enough to favor a container

20%

Cold-Start & Latency Behavior

Cold-start profile by runtime (V8 isolate, Wasm, container, JVM), mitigations such as SnapStart, provisioned/always-ready instances, and scale-to-zero startup time, plus regional versus edge placement for user-facing paths

20%

Event Model & Lock-In / Portability

Breadth of native event sources and triggers, depth of managed-service bindings, how proprietary the function packaging is, and the realistic exit path — portable containers or WebAssembly versus a provider-specific event fabric you would have to rewrite

15%

Integration & Ecosystem Depth

First-class ties to the surrounding cloud (IAM, queues, streams, databases, API gateway), orchestration and workflow tooling, language and runtime coverage, and the maturity of IaC and CI/CD support

10%

Observability & Operations

Distributed tracing across functions and event sources, structured logging and metrics, local emulation and testability, deployment and rollback model, and how hard it is to debug a failure that spans several triggers

10%

Security, Compliance & Cost Model

Per-function least-privilege IAM, network isolation (VPC/private networking), secrets handling, SOC 2 / ISO 27001 / regional residency, and whether the billing unit (per-invocation, GB-second, CPU-time, per-request) matches your traffic shape

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Alibaba Cloud Serverless Workflow

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .