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Course Outline

Introduction

Overview of Akraino Features and Architecture

  • Key principles (design, build, and run).
  • Supported access methodologies.
  • Akraino community.
  • Emerging edge technologies.

Learning About the Akraino Edge Stack

  • Integration projects (blueprints).
  • Feature projects (development projects).
  • Point of delivery (POD).

Exploring Akraino Integration Projects (Blueprints)

  • AI/ML and AR/VR applications at the Edge.
  • Edge video processing.
  • Integrated Edge Cloud (IEC) blueprint family.
  • Kubernetes-Native Infrastructure (KNI) blueprint family.
  • MicroMEC.
  • Network cloud blueprint family.
  • StarlingX far edge distributed cloud.
  • Telco appliance blueprint family.
  • Time-critical edge compute.
  • Integrated cloud-native NFV/app stack family (short term: ICN).
  • The AI Edge blueprint family.
  • 5G MEC system blueprint family.
  • Public Cloud Edge Interface (PCEI) blueprint family.
  • KubeEdge edge service blueprint.
  • IoT area.
  • Tami COVID-19 blueprint family.
  • Automotive area.
  • Proposed blueprints.

Exploring Akraino Feature Projects

  • Akraino blueprint validation framework.
  • Akraino portal feature project.
  • Akraino profiling.
  • Akraino regional controller.
  • API gateway.
  • Backup and restore (Snappy) feature project.
  • Cluster Health & Overload Monitoring Platform (CHOMP) feature project.
  • KONTOUR.
  • MEC API framework.
  • Support of OVS-DPDK in Airship.
  • Proposed feature projects.

Deploying Akraino Blueprints to Edge Sites

  • Edge location assessment.
  • Declarative configuration for edge devices.
  • Large-scale deployments.
  • Use case requirements.

Getting Involved in the Akraino Community

  • Akraino Wiki page.
  • Technical Steering Committee (TSC) goals and activities.
  • Shared community lab, files, and links.
  • Collaboration with other organizations.
  • Confluence for collaboration.
  • Project reporting.

Troubleshooting

Summary and Conclusion

Requirements

  • A clear understanding of cloud and edge computing concepts.

Audience

  • Cloud architects.
  • Deployment engineers.
  • DevOps engineers.
  • Developers.
 14 Hours

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