CloudEvents
A specification for describing event data in a common, standardized way across services, platforms, and systems.
CloudEvents is a specification for describing event data in a common way. It provides a standard envelope for events, making it easier to work with events across different services, platforms, and systems without custom integration code.
Developed by the Cloud Native Computing Foundation (CNCF), CloudEvents aims to simplify event declaration and delivery across services, platforms, and beyond. It's particularly valuable in cloud-native and serverless architectures.
Official Specification: github.com/cloudevents/spec
CloudEvents provides a common format that enables services from different vendors and platforms to communicate seamlessly. Events can flow between AWS, Azure, GCP, and custom systems without translation layers.
A well-defined schema for event metadata ensures consistency. Developers know exactly what fields to expect and how to parse events, reducing integration complexity and errors.
Built for modern cloud architectures, CloudEvents integrates naturally with Kubernetes, serverless platforms, and event-driven architectures. Wide adoption across cloud providers.
CloudEvents supports multiple content modes and formats including JSON, Avro, and Protocol Buffers. Events can be transported over HTTP, AMQP, MQTT, Kafka, and more.
Every CloudEvents event must include these required attributes:
idUnique identifier for the event. Must be unique within the scope of the producer.
Example: "A234-1234-1234"sourceIdentifies the context in which the event happened. Often a URI.
Example: "https://github.com/cloudevents"specversionThe version of the CloudEvents specification being used.
Example: "1.0"typeDescribes the type of event. Should be prefixed with reverse-DNS name.
Example: "com.example.order.placed"datacontenttypeContent type of the data value
dataschemaURI of schema that data adheres to
subjectThe subject of the event in context of source
timeTimestamp when event occurred (RFC 3339)
Here's a complete example of a CloudEvent in JSON format:
{
"specversion": "1.0",
"type": "com.example.order.placed",
"source": "https://api.example.com/orders",
"subject": "order-12345",
"id": "550e8400-e29b-41d4-a716-446655440000",
"time": "2024-01-15T10:30:00Z",
"datacontenttype": "application/json",
"dataschema": "https://example.com/schemas/order-v1.json",
"data": {
"orderId": "order-12345",
"customerId": "customer-789",
"items": [
{
"productId": "product-456",
"quantity": 2,
"price": 29.99
}
],
"totalAmount": 59.98,
"currency": "USD"
}
}CloudEvents can be represented in different content modes:
Structured Mode
The entire event (attributes + data) is encoded in the message body as a single JSON object. Best for message queues and when you need complete event context.
Content-Type: application/cloudevents+jsonBinary Mode
Event attributes are mapped to protocol-specific headers, and the data is the message body. More efficient for HTTP transport.
ce-id, ce-source, ce-type headers + data payload- •Reduced Integration Complexity: Standard format eliminates custom parsing logic
- •Multi-Cloud Support: Events work seamlessly across different cloud providers
- •Ecosystem Support: Growing library of SDKs and tools for CloudEvents
- •Protocol Agnostic: Transport events over HTTP, AMQP, MQTT, Kafka, and more
- •Extensibility: Add custom extension attributes for your specific needs
- •Tooling Support: Standard format enables generic event processing tools
CloudEvents allows you to add custom extension attributes for domain-specific needs:
{
"specversion": "1.0",
"type": "com.example.order.placed",
"source": "https://api.example.com/orders",
"id": "550e8400-e29b-41d4-a716-446655440000",
"time": "2024-01-15T10:30:00Z",
"traceparent": "00-0af7651916cd43dd8448eb211c80319c-b7ad6b7169203331-01",
"correlationid": "abc-123-def-456",
"tenantid": "tenant-789",
"data": { ... }
}Extension attributes must follow naming conventions and should not conflict with reserved names.
CloudEvents is ideal when:
- ✓Building cloud-native or multi-cloud applications
- ✓Integrating with third-party services and platforms
- ✓Creating event-driven microservices architectures
- ✓Working with serverless functions and FaaS platforms
- ✓Need standardization across heterogeneous systems