SonataFlow Guides
Kogito Serverless Workflow is a tool for building cloud-native workflow applications. You can use it to do the services and events orchestration and choreography. Currently, with Kogito Serverless Workflow you can integrate with services and events in your architecture using:
-
CloudEvents. Ideal for an Event-Driven architecture where the services are ready to consume and produce events working in a more reactive way.
-
Sync or Async REST services invocations via OpenAPI/Async API. There are options even to directly call a REST service in the architecture or ecosystem. Either async or sync methods are supported depending on your requirements.
-
Internal Service execution or invocation. Kogito Serverless Workflow is also a workflow framework to build applications. You can use it to create custom services in the same thread to run a lightweight workflow-based application within the same instance.
You can learn how to create, manage, and deploy your workflow applications with the following guides.
Getting started
Learn how to create your first Serverless Workflow project
Learn about the CNCF Serverless Workflow Specification implementation
Learn which tools you can use to author your workflow assets
Core
Learn about the custom functions supported by Serverless Workflow
Learn how to create jq expressions to manipulate data within a workflow execution
Learn how to handle errors in your workflow application
Working with parallelism in your workflow service
Quick reference of configuration properties in workflow
Learn about the input schema definition used to validate the workflow data input against a defined JSON Schema
Learn how to configure timeouts in the workflow
Tooling
Learn how to install and use the Serverless Workflow editor
Learn how to use the Serverless Workflow extension in Quarkus Dev UI
Learn how to install the Serverless Workflow plug-in for Knative CLI
Learn how to use Serverless Logic Web Tools for creating and managing workflows, decisions, and dashboards.
Service Orchestration
Learn how to orchestrate REST services using OpenAPI specification descriptors
Learn how to trigger and consume events using AsyncAPI specification descriptors
Learn how to configure OpenAPI services endpoints in different environments
Learn about orchestrating gRPC services
Eventing
Learn how to use the Event state in your workflow application
Learn how to use the Callback state in your workflow application
Learn how to configure your Serverless Workflow application to produce and consume events using Apache Kafka
Learn how to configure your Serverless Workflow application to produce and consume events on Knative Eventing
Learn how to configure event correlation in your workflow application
Learn how to use the OpenAPI Callback in your workflow application
Security
Learn how to use authentication methods when calling REST services using OpenAPI specification
Learn about the OAuth2 method support when orchestrating REST services using your workflow application
Testing and Troubleshooting
Learn how to add unit tests in your workflow application using RestAssured
Learn how to integrate tests on workflow applications that use PostgreSQL as a persistence storage
Learn how to mock external REST requests when testing your Serverless Workflow applications
Testing Serverless Workflow application that uses HTTP CloudEvents and Knative Sink Binding
Persistence
Running Serverless Workflow service using PostgresSQL
Migrating your existing PostgreSQL Database with changes from the Kogito upgrade using Flyway
Cloud
Learn how to build images for your workflow applications using Quarkus CLI
Learn what is and how the Kubernetes service discovery for workflow application configuration works
Learn how to deploy your workflow application on Minikube for local tests and development
Learn how to deploy your workflow application on Kubernetes
Learn how to build and deploy your workflow application on Kubernetes using the Kogito Serverless Workflow Operator
Use Cases
Learn how and when to use the SAGA pattern in your workflow projects
Learn how and when to use timeout in your workflow projects