Building integrations

Once you have installed IBM Cloud Pak® for Integration, you can use your deployed capabilities to connect applications, systems, and services.

Using the Platform UI
Learn about administrative actions and advanced configuration options for the Platform UI.
Advanced configuration for an integration assembly
An Integration Assembly is a Kubernetes custom resource that allows you to deploy multiple instances of [product] capabilities from the same YAML file. Learn how to customize the default configurations of queue manager and Event Streams managed instances that were created using an Integration Assembly.
Managing your APIs
API management features are provided by IBM API Connect, which makes it easy to create APIs and manage their lifecycles.
Creating integration flows
The App Connect Designer capability provides an IBM® App Connect authoring environment for integration flows, and is intended to host non-production workloads.
Deploying integration servers and integration runtimes
The App Connect Dashboard capability provides an IBM App Connect runtime environment for integrations, and is intended to host production workloads.
Using Automation assets
Initiating high-speed transfers
Aspera High-Speed Transfer Server (HSTS) allows an unlimited number of concurrent users to transfer files of any size at high speed using an Aspera client.
Instantiating gateway functionality
Gateway functionality is provided by IBM DataPower Gateway.
Managing Kafka event streams
IBM Event Streams is an event-streaming platform based on the open-source Apache Kafka project.
Deploying messaging services
IBM MQ offers proven, enterprise-grade messaging capabilities that skillfully and safely move information between applications.
Tracing integration transactions
The integration tracing capability (deployed from the Operations Dashboard customer resource) allows you to trace transactions across Cloud Pak for Integration instances.
Socializing your Kafka event sources
Event Endpoint Management provides the capability to describe and catalog the APIs of Kafka event sources, and to socialize those APIs with application developers.