serverless/examples: What the Serverless Framework Boilerplate Collection Actually Gives You

What serverless/examples is, and who it is written for

The repository describes itself as "a collection of ready-to-deploy Serverless Framework services." That sentence is the whole product. It is not a library, not a CLI and not a framework. It is a set of folders, each one a self-contained service that you clone, inspect and deploy with the Serverless Framework CLI.

The audience is narrow and practical. If you already know what a serverless.yml file is and you want a working HTTP endpoint in Node.js, Python, Java, Go or .NET without writing the handler, the route and the IAM wiring yourself, this collection saves an afternoon. It is equally useful for people who want to compare runtimes on the same problem, since the same simple HTTP endpoint appears in several languages.

It is a poor fit for someone who wants a maintained product to build on. The repository has no releases, and its own package.json marks the package as private at version 0.0.0. Nothing here is published to npm. The folders are reference material, not dependencies.

How the v4 branch is organised and how an example deploys

The default branch is v4, and the top level is a flat list of directories named after the provider, runtime and purpose: aws-node-simple-http-endpoint, aws-golang-rest-api-with-dynamodb, aws-java-simple-http-endpoint, aws-node-dynamodb-stream-processing, aws-node-container-snapstart, aws-node-esm-esbuild, and so on. The prefix tells you the cloud and the language before you open anything.

Each example is a complete Serverless Framework service. According to the README, "Each example contains a README.md with an explanation about the service and it's use cases." The deployable unit is the serverless.yml inside that folder, which declares the function, its runtime, its events and any resources it needs. The data flow is the standard Serverless Framework one: the CLI reads serverless.yml, packages the handler, uploads it, and wires the event source, whether that is an HTTP API route, a DynamoDB stream, an S3 event or a cron schedule.

The repository also maintains its own index. The README table is generated by a script, and package.json shows the tooling: npm run docs regenerates the README and examples.json, npm run validate runs a validator, and npm run check-docs regenerates the docs and fails if the README or examples.json has drifted. That is a real constraint on contributors: if you add an example and do not regenerate the index, the check fails. The package requires Node >= 24.

Installing the CLI and deploying your first example

The README gives one prerequisite: the Serverless Framework CLI. Install it globally with npm.

npm install -g serverless

With the CLI on your PATH, the README's own workflow is to clone the repository, change into the folder you want, and deploy.

git clone https://github.com/serverless/examples
cd examples/folder-name
serverless deploy

After the deploy finishes, the CLI prints the endpoint or resource names for the service you chose. The README also points at the interactive path: running serverless and picking a starter from the template menu, which is the same set of examples without cloning the whole repository.

For a first run, the README recommends the simple HTTP endpoint examples in Node.js, Python, Java or Golang. Those are the smallest services in the collection and the ones whose READMEs explain the use case most directly. Pick one folder, read its README before deploying, and check which AWS resources it will create. Several examples provision DynamoDB tables, S3 buckets or API Gateway stages, and those are not free.

Where the collection stops being the right tool

The examples are boilerplate, and boilerplate ages. Some folders target runtimes and patterns that were current when they were written, and the README does not state a support window for any of them. The repository as a whole is still receiving pushes, the last one on 2026-09-09, but that says nothing about whether the folder you picked was touched in the same period. Treat each directory as its own maintenance island.

The second limitation is the licence. The repository's LICENSE.txt exists, but the metadata reports the licence as NOASSERTION, meaning GitHub could not map the file to a known licence identifier. The package.json inside the repository declares MIT. Those two signals do not agree, and the README does not resolve the question. If you intend to copy code into a commercial product, read LICENSE.txt yourself rather than trusting either label.

The third limitation is scope. There is no rollback guidance in the README, no teardown guidance, and no cost estimate for the resources an example creates. A DynamoDB stream example and a container image example have very different cleanup stories, and the collection does not cover either.

How it differs from the AWS SAM and CDK example galleries

The closest alternatives are the example galleries shipped by AWS SAM and the AWS Cloud Development Kit. The difference is the deployment model, not the language coverage.

A SAM example is a template plus a sam build and sam deploy cycle. The unit of configuration is a CloudFormation transform, and the tooling is AWS-specific. A CDK example is imperative code in TypeScript, Python, Java or Go that synthesises CloudFormation. Both tie you to AWS tooling and to CloudFormation as the underlying engine.

serverless/examples ties you to the Serverless Framework instead. The configuration is serverless.yml, the CLI is serverless, and the same command shape applies whether the target is AWS Lambda, Microsoft Azure or Google Cloud Functions. That portability is the reason to choose this collection over a provider-specific gallery. The cost is that you inherit the Serverless Framework's own abstractions and its release cadence, and you get a much smaller set of examples than AWS publishes for SAM or CDK.

Maintenance, upgrade cost and what the licence question means for you

The last push to the repository was on 2026-09-09, so the collection is being touched. That is a fact about the repository, not a promise about any individual example. The README does not document a deprecation policy, a runtime support matrix or a migration path between major versions of the Serverless Framework. If you copy an example and the framework changes its configuration format, the upgrade is yours to work out.

Upgrade cost also depends on the runtime. A Node.js HTTP endpoint is a handler file and a serverless.yml. A .NET REST API with DynamoDB brings a project file, a build step and a table definition. A container image example brings a Dockerfile. The more moving parts in the folder, the more you own after copying it.

On licensing: the repository carries a LICENSE.txt and package.json declares MIT, while the hosting metadata reports NOASSERTION. This is not legal advice, and the discrepancy is small, but it is the kind of thing to confirm before you paste an example into a product you ship.

Editorial conclusion

Adopt serverless/examples if you are learning the Serverless Framework, comparing runtimes, or need a working starting point for a small HTTP API, a scheduled job or a stream consumer. Do not adopt it as a dependency or a production codebase: it is a private, version 0.0.0 package with no releases, and each folder is meant to be copied rather than imported. Before you commit to a folder, check its README, its serverless.yml and its runtime against your own account, because the collection spans many runtimes and the README does not document rollback or cleanup for any of them.

Frequently asked questions

Official sources

1. Issues
2. Project website
3. README
4. serverless/examples on GitHub