Quick Start

Introduction

ZEDEDA offers a wide range of capabilities for implementing and scaling distributed edge orchestration and management. While the ZEDEDA Edge Intelligence Platform supports many complex configurations, the following sections describe the most common use cases. These workflows guide you through the initial steps of preparing an edge device and managing it as an edge node after it is onboarded to ZEDEDA Infrastructure Services (previously ZEDEDA Cloud).

You can use ZEDEDA Edge Intelligence Platform to manage two primary types of services: Edge Infrastructure Services and Edge Intelligence Services. For example, you can deploy edge application instances with ZEDEDA Infrastructure Services or configure a ZEDEDA Edge Kubernetes Service cluster to manage the lifecycle of artificial intelligence solutions at the edge.

Quick Start for Edge Intelligence and Inference Services

There are many things you can do with ZEDEDA Edge Intelligence Service to manage the lifecycle of your artificial intelligence solutions at the edge.

ZEDEDA Edge Inference Service uses your ZEDEDA Infrastructure Services API credentials to communicate with ZEDEDA Infrastructure Services, to prepopulate fields for you, and to deploy on ZEDEDA Edge Kubernetes Service clusters. 

1. Obtain your session token from ZEDEDA Infrastructure Services. 
2. From the Edge Inference Service console: 
   1. Click your user profile icon in the top navigation bar.
   2. Click the settings icon. 
   3. In the Infrastructure Services API Credentials section, click the edit icon.
   4. Edit the Token and the Host fields.  
   5. Click Save.   

After setting the API credentials, these are the barebones steps that you need for a minimal viable setup:

1. If an Edge Kubernetes cluster is not available, create one in ZEDEDA Edge Kubernetes Service.
2. From the Edge Inference Service console: 
   1. Create an organization.
   2. Upload a model.
   3. Run inference benchmarks.
   4. Deploy the model to your Edge Kubernetes Service Cluster.

Quick Start for Edge Kubernetes Services

ZEDEDA Edge Kubernetes Service allows you to manage Kubernetes clusters across your distributed infrastructure through GitOps. You can create a new cluster using edge nodes already onboarded to your project or import an existing third-party Kubernetes cluster to bring it under ZEDEDA management. After the cluster is active, you can manage your fleet. You have the following options:

• If you have an existing non-ZEDEDA Kubernetes cluster, you can import it into the ZEDEDA Edge Kubernetes Service.
• If you have existing edge nodes onboarded in Edge Infrastructure Services , you can create an Edge Kubernetes Service cluster using your existing edge nodes.
• If you do not have any edge nodes onboarded, see Quick Start for Edge Virtualization Services.

Quick Start for Edge Virtualization Services

There are many things you can do with EVE-OS and ZEDEDA Edge Infrastructure Services to implement and scale your distributed edge orchestration and management. However, these are the barebones steps that you need for a minimal viable setup.

1. Get EVE-OS.
2. Configure a network to connect your edge node to ZEDEDA Edge Infrastructure Services.
3. Onboard an edge node to Edge Infrastructure Services.
4. Add edge applications from the Marketplace, which represents the Metadata manifest of the software application.
5. Deploy the edge application instance on the edge node to instantiate the app.

Next Steps

• View the ZEDEDA Edge Intelligence demo.
• View the ZEDEDA Edge Kubernetes Service & Edge Kubernetes App Flows demo.
• Visit Edge Academy for an interactive eLearning session on Deploying and Managing Kubernetes at the Edge.
• Visit Edge Academy for an interactive eLearning session on Onboarding an Edge Node.