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An Auto-Documenting
Event-Driven
Architecture Using
Async API and Inngest
Dan Farrelly
@djfarrelly
Why event schemas are important
Why automatically generate event schemas
How we automatically generate event schemas
How you can use it yourself
2
What we’ll cover
Overview
Founder, Inngest.com
Former CTO, Buffer.com
Event-driven architecture and home restoration enthusiast
dan@inngest.com
3
Dan Farrelly
Who am I?
Inngest is an event-driven platform that makes it easy for developers to
build, test, then deploy serverless functions triggered by events — without
worrying about infrastructure, queues, or stateful services.
4
What is Inngest?
Who am I?
“An event-driven architecture in a box”
Features: schema registry, logging, metrics, SDKs and tooling
5
Why build event-driven?
But first,
Event-driven can be beautifully simple
You publish immutable facts & you run code based on those facts
You get flexibility with fan-out - n consumers for a single event
A highly decoupled architecture
What’s the most important
part of an EDA?
<Hint: it’s in the name>
7
Events!
What’s the most important part of an EDA?
If events are facts, they cannot be changed
The system needs to make sure that services (read: teams) are publishing
facts correctly
To accomplish this, we need to document these facts and add
controls to our system
Enter AsyncAPI…
8
How to create AsyncAPI specs?
AsyncAPI
1) Write it manually
2) Automatically parse events in real-time and self-document
9
Automatically parsing events
Why write specs?
Inngest uses HTTP + JSON
Each event received is sent to a worker that parses & generates a schema
Clients can specify a new event version by using a new v field value
Every new version is stored in the registry in a meta format: CUE
10
What is CUE? Why use it?
cuelang.org
Chosen for interoperability
CUE is a data validation format that can
parse, validate and generate JSON, YAML,
Open API spec (JSON Schema), and Go structs.
Our custom parser walks any JSON object,
parses the type of each field and generates
a CUE definition.
11
How it works
Event API
(https://inn.gs/)
Pub/Sub
Event Recorder
Schema Registry
Schema
Validation
CUE Parser
Job Scheduler
Serverless Functions
12
Inngest Schema Registry
13
Self-documenting API + Async API
Match made in heaven
This enables us to fetch JSON schema right from the Inngest API and
build our Async API spec.
Ever user workspace has its own event registry, each event requires a
name and is versioned
Everything is wrapped up into a simple npm package
14
Why translate to Async API?
Async API
We can tap into the Async API ecosystem
Tooling: Code generation, etc.
Documentation: Standard format for sharing system architecture
Future: Use Async API to publish to schema registry; Schema
enforcement tools
15
See it in action!
npm install inngest-cli && inngest login
npx @inngest/asyncapi
16
That’s it!
Questions?
Thanks for listening!
@djfarrelly

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An Auto-Documenting Event-Driven Architecture Using Async API and Inngest - AsyncAPI Conf

  • 1. An Auto-Documenting Event-Driven Architecture Using Async API and Inngest Dan Farrelly @djfarrelly
  • 2. Why event schemas are important Why automatically generate event schemas How we automatically generate event schemas How you can use it yourself 2 What we’ll cover Overview
  • 3. Founder, Inngest.com Former CTO, Buffer.com Event-driven architecture and home restoration enthusiast dan@inngest.com 3 Dan Farrelly Who am I?
  • 4. Inngest is an event-driven platform that makes it easy for developers to build, test, then deploy serverless functions triggered by events — without worrying about infrastructure, queues, or stateful services. 4 What is Inngest? Who am I? “An event-driven architecture in a box” Features: schema registry, logging, metrics, SDKs and tooling
  • 5. 5 Why build event-driven? But first, Event-driven can be beautifully simple You publish immutable facts & you run code based on those facts You get flexibility with fan-out - n consumers for a single event A highly decoupled architecture
  • 6. What’s the most important part of an EDA? <Hint: it’s in the name>
  • 7. 7 Events! What’s the most important part of an EDA? If events are facts, they cannot be changed The system needs to make sure that services (read: teams) are publishing facts correctly To accomplish this, we need to document these facts and add controls to our system Enter AsyncAPI…
  • 8. 8 How to create AsyncAPI specs? AsyncAPI 1) Write it manually 2) Automatically parse events in real-time and self-document
  • 9. 9 Automatically parsing events Why write specs? Inngest uses HTTP + JSON Each event received is sent to a worker that parses & generates a schema Clients can specify a new event version by using a new v field value Every new version is stored in the registry in a meta format: CUE
  • 10. 10 What is CUE? Why use it? cuelang.org Chosen for interoperability CUE is a data validation format that can parse, validate and generate JSON, YAML, Open API spec (JSON Schema), and Go structs. Our custom parser walks any JSON object, parses the type of each field and generates a CUE definition.
  • 11. 11 How it works Event API (https://inn.gs/) Pub/Sub Event Recorder Schema Registry Schema Validation CUE Parser Job Scheduler Serverless Functions
  • 13. 13 Self-documenting API + Async API Match made in heaven This enables us to fetch JSON schema right from the Inngest API and build our Async API spec. Ever user workspace has its own event registry, each event requires a name and is versioned Everything is wrapped up into a simple npm package
  • 14. 14 Why translate to Async API? Async API We can tap into the Async API ecosystem Tooling: Code generation, etc. Documentation: Standard format for sharing system architecture Future: Use Async API to publish to schema registry; Schema enforcement tools
  • 15. 15 See it in action! npm install inngest-cli && inngest login npx @inngest/asyncapi