Solution Patterns  Solution Patterns From Red Hat
Architectures & Patterns
Portfolio Architecture  Solution Patterns Validated Patterns  Ecosystem Solutions 
Resources
Red Hat Developers App Dev Platform Red Hat Application Services
Feedback Contribute

Edge-to-Core Pipelines: Gather and prepare data for AI/ML

    • 1. Home page
      • 1.1 Use cases
      • 1.2 The story behind this solution pattern
      • 1.3 The solution
    • 2. Architecture
      • 2.1. Common challenges
      • 2.2. Technology stack
      • 2.3. An in-depth look at the solution’s architecture
        • 2.3.1. Data Acquisition
        • 2.3.2. Data Preparation & Modelling
        • 2.3.3. Application Development and Delivery
        • 2.3.4. Edge ML Inference
      • 2.4. Additional notes about The Technologies
        • 2.4.1. Red Hat Service Interconnect
        • 2.4.2 Edge Computing
        • 2.4.3 Single Node Apache Kafka Broker
    • 3. See the Solution in Action
      • 3.4 Demonstration
      • 3.5 Recorded Video
      • 3.6. Install the demonstration
      • 3.7. Walkthrough guide
    • 4. Developer Resources
    • 5. Other Red Hat Solution Patterns
Edge-to-Core Pipelines: Gather and prepare data for AI/ML master
  • Edge-to-Core Pipelines: Gather and prepare data for AI/ML
    • master
  • Edge-to-Core Pipelines: Gather and prepare data for AI/ML
  • 4. Developer Resources
Edit this Page

Solution Pattern: Edge to Core Data Pipelines for AI/ML

Developer Resources

Here you find a list of developer resources relevant to this Solution Pattern

  • 1. Register for Red Hat developers subscription to get access to Red Hat products for personal use at no cost

  • 2. Red Hat OpenShift

  • 3. Quarkus

  • 4. Red Hat build of Apache Camel

  • 5. AMQ

  • 6. AMQ Streams

  • 7. Service Interconnect

  • 8. Red Hat OpenShift AI

  • 9. Red Hat OpenShift Data Foundation

3. See the Solution in Action
Cloud Native Architecture Solution Patterns