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Language:
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Release Notes for Red Hat Integration 2019-12
What's new in Red Hat Integration
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Abstract
Chapter 1. Red Hat Integration
Red Hat Integration is a unified platform for cloud-native integration and application development with end-to-end API lifecycle support. It provides a set of agile and flexible integration and messaging technologies that include:
- API connectivity
- Data transformation
- Service composition and orchestration
- Real-time messaging
- Cross-datacenter message streaming
- API management
Red Hat Integration connects applications, data, and devices across hybrid cloud architectures and delivers API-centric business services.
Chapter 2. New features
This section provides a summary of the key new features in Red Hat Integration 2019-12 and provides links to more detailed information on new features available in components.
2.1. Key features
- APIs as a Product
- Scale APIs to a large number of microservices APIs and enable users to manage these as a product. For details, see Getting started with 3scale API Management.
- Apache Kafka enhancements
- HTTP proxy in AMQ Streams Kafka Bridge (General Availability)
- 3scale management of AMQ Streams Kafka Bridge
- Kafka schema registry in Service Registry (Technology Preview)
- API policy extensibility
- Extend the power and flexibility of Apache Camel routes in Fuse on OpenShift to enrich, transform, and control API requests in 3scale. See Transforming 3scale message content using policy extensions in Fuse.
- Data integration
2.2. Detailed information
For more details on what’s new in Red Hat Integration 2019-12 components:
Chapter 3. Change Data Capture
Red Hat Integration 2019-12 includes a Technology Preview of Change Data Capture based on the Debezium open source project. Change Data Capture is a distributed platform that monitors databases and creates change event streams. Change Data Capture is built on Apache Kafka and is deployed and integrated with AMQ Streams.
Change Data Capture captures row-level changes to a database table and passes corresponding change events to AMQ Streams. Applications can read these change event streams and access the change events in the order in which they occurred.
Technology Preview features are not supported with Red Hat production service-level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend implementing any Technology Preview features in production environments. This Technology Preview feature provides early access to upcoming product innovations, enabling you to test functionality and provide feedback during the development process. For more information about support scope, see Technology Preview Features Support Scope.
3.1. Database connectors
Change Data Capture provides connectors based on Kafka Connect for the following common databases:
- MySQL
- PostgreSQL
- SQL Server
- MongoDB
When trying out the database connectors, the following database versions are recommended for this Technology Preview release:
Table 3.1. Recommended database versions for Change Data Capture
Database | Version(s) |
---|---|
MySQL | 5.7, 8.0 |
PostgreSQL | 10, 11, 12 |
MongoDB | 3.6, 4.0, 4.2 |
SQL Server | 2017 |
For PostgreSQL deployments, you can use the pgoutput
logical decoding output plugin, which is the default for PostgreSQL versions 10 and later.
Additional resources
3.2. Installation options
You can deploy the Change Data Capture technology preview with AMQ Streams on OpenShift or RHEL:
Chapter 4. Data Virtualization
Data virtualization is available as a Technology Preview feature in Red Hat Integration 2019-12. Data virtualization is a container-native service, based on the Teiid open source project, that provides integrated access to a range of data sources, including relational databases, MongoDB, and Salesforce, through a single uniform API.
Applications and users connect to a virtual database over standard interfaces (OData REST, or JDBC/ODBC) and can use SQL to interact with the integrated data in the same way that they would interact with a single relational database.
Technology Preview features are not supported with Red Hat production service-level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend implementing any Technology Preview features in production environments. This Technology Preview feature provides early access to upcoming product innovations, enabling you to test functionality and provide feedback during the development process. For more information about support scope, see Technology Preview Features Support Scope.
4.1. Data virtualization enhancements
Red Hat Integration 2019-12 provides the following enhancements for Data virtualization:
- Data Virtualization Operator to deploy virtual databases
- MongoDB and REST-based data sources (OData, OpenAPI, and REST)
Additional resources
Chapter 5. Service Registry
Service Registry is available as a Technology Preview feature in Red Hat Integration 2019-12. Service Registry is a datastore for standard event schemas and API designs that is based on the Apicurio Registry open source community project. Service Registry enables developers to manage and share the structure of their data using a REST interface. For example, client applications can dynamically push/pull the latest updates to/from the registry without needing to redeploy.
Service Registry also enables developers to create rules to govern how registry content can evolve over time. For example, this includes rules for content validation and version compatibility.
Technology Preview features are not supported with Red Hat production service-level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend implementing any Technology Preview features in production environments. This Technology Preview feature provides early access to upcoming product innovations, enabling you to test functionality and provide feedback during the development process. For more information about support scope, see Technology Preview Features Support Scope.
5.1. Supported artifact types
Service Registry supports the following artifact types:
- Apache Avro schema
- Google Protocol buffers (Protobuf) schema
- JSON Schema
- OpenAPI specification
- AsyncAPI specification
5.2. Service Registry REST API
The Registry REST API enables client applications to manage the artifacts in the registry. It provides create, read, update, and delete operations for the following:
- Schema and API artifacts
- Versions
- Metadata
- Global and artifact rules
The Registry REST API is also compatible with the Confluent Schema Registry REST API. This means that applications using Confluent client libraries can use Service Registry instead.
Additional resources
Chapter 6. Red Hat Integration operators
Red Hat Integration provides operators to enable you to automate the deployment of Red Hat Integration components on OpenShift. This section provides links to detailed information on how to use operators for different components.
6.1. Fuse operators
- Fuse on OpenShift
- Fuse Online
6.2. 3scale operators
6.3. AMQ operators
6.4. Data operators
6.5. Additional resources
For more details on operators: