Flurry

How Flurry Works

Define Tasks

Create dispatcher and listener tasks that connect to your system's integration points like HTTP endpoints, message queues and event streams. Use variables to share data between tasks.

Define Assertions

Add assertions to validate responses and events. Write custom JavaScript functions for advanced validation.

Define Flows

Arrange tasks into flows that model your system's command and event sequences.

Run & Monitor

Run collections locally and in CI/CD pipelines via the Flurry CLI.

Highlights of current and upcoming features

Building Blocks

Dispatcher Tasks

Make HTTP Requests

Send AWS SQS messages

Publish AWS Kinesis events

Publish Apache Kafka messages

Listener Tasks

HTTP Callbacks (Webhooks, AWS EventBridge API destination targets)

AWS Kinesis data streams

Apache Kafka

Take Action

Comparison, length and existence assertions

Set variables from payload values

Custom JavaScript functions for complex assertions and variable management

Encode and decode Apache Avro data

Encode and decode Protobuf data

Orchestration

Single or parallel task execution in flows

Extend base assertions with flow specific assertions

Enable/disable flows on a per environment basis

Execution

Run the CLI anywhere with a simple npx command

Define and use environment specific variables

Load testing through parallel collection runs

Performance metrics

Testing event-driven systems, simply.