In the first post in this series on messaging patterns, we gave an overview of messaging and the benefits and challenges of both synchronous and asynchronous service communication. In this post, we will look at common characteristics to consider when evaluating messaging channel technologies. We will also introduce Amazon EventBridge, the AWS Serverless event bus.

What is an Event?

An event is the occurrence of an immutable message describing something that happened in the past. The event data payload typically contains details of the occurrence and associated metadata. Events are routed from a producer to potential consumers via a transportation channel, as defined in the previous post in this series. This event may be delivered to zero, one, or many consumers, depending on the number of consumers subscribed to that transportation channel, and possibly further limited to the subscribed consumers who have filtered their subscription to particular events.

Below is an example of an AWS event. AWS events are emitted by AWS services, are represented as JSON objects, require all the top-level metadata fields shown below, and contain a source-specific payload in the “detail” field.

Sample AWS event

 "version": "0", "id": "6a7e8feb-b491-4cf7-a9f1-bf3703467718", "detail-type": "EC2 Instance State-change Notification", "source": "aws.ec2", "account": "111122223333", "time": "2017-12-22T18:43:48Z", "region": "us-west-1", "resources": [ "arn:aws:ec2:us-west-1:123456789012:instance/ i-1234567890abcdef0" ], "detail": { "instance-id": " i-1234567890abcdef0", "state": "terminated" }

Event Schemas

Looking at the above sample event and the documentation on AWS events, you’ll notice there is a schema for the top-level fields of all events and separate schemas for the source-specific attributes in the “detail” field. This is because multiple AWS services emit events to the Amazon EventBridge default message bus. Unlike HTTP APIs, which often have a published schema and validate requests against that schema, it’s common for event transportation channels to allow heterogeneous events through the channel, like the default bus in EventBridge.

To simplify the experience of defining, discovering, and developing against event schemas, Amazon EventBridge has a Schema Registry. The registry is pre-populated with OpenAPI schemas for events from existing AWS services and allows you to define your own schemas. It also supports downloading code bindings for popular programming languages for schemas in the registry.

Event channel characteristics

When evaluating an event channel technology against your business and technical requirements, keep in mind the following common characteristics. This list is not exhaustive, but may serve as a useful starting point for orienting yourself to each technology.

  • Ordering: Are events guaranteed to be delivered in the order they arrive?
  • Duplication: Can duplicate events be introduced? Will duplicate events in the channel be de-duplicated?
  • Fanout: Can each event be delivered to or processed by multiple consumers?
  • Push versus pull: Are events sent to consumers or do consumers need to fetch events?
  • Filtering: Can event consumers choose to receive a filtered subset of the events passing through the channel?
  • Serverless: Does the underlying infrastructure need to be managed and tuned by the channel owner?

Amazon EventBridge

Amazon Eventbrdige custom application

Amazon EventBridge is a serverless, fully managed event bus. Producers can be AWS services, supported Software as a Service (SaaS) partners, or your own applications that write JSON messages to an EventBridge event bus. Messages are delivered to consumers configured as the targets of event rules. Event rules can filter messages based on attributes in the JSON payload, and a single rule can route events to multiple targets. Event rules retry delivery of events to configured targets with exponential backoff for up to 24 hours. EventBridge does not guarantee event order will be maintained and promises as-least-once event delivery, meaning duplicate messages can be introduced. Consider EventBridge for use cases where you need rich event filtering, fanout of events to tens of consumers, message delivery or consumption across AWS accounts, to listen to events from a wide variety of AWS services, or to receive messages from SaaS partner systems.


In this post, we defined events and outlined criteria against which to evaluate event transportation technologies. We then briefly reviewed Amazon EventBridge against these criteria. For a deeper discussion on eventing technologies, I recommend watching the recording of the session Moving to Event-Driven Architectures by AWS Distinguished Engineer, Tim Bray, from AWS re:Invent 2019. For a deep dive on Amazon EventBridge, watch this AWS Tech Talk. For an example of integrating Amazon EventBridge into a serverless architecture, review this blog post that walks through an example application.

In this messaging series

Now that you understand the common characteristics to consider when evaluating messaging channel technologies, be sure to read the first post in this series: Introduction to Messaging for Modern Cloud Architecture

Next up in the messaging series: