Azure Stack AI at the edge
With the Azure AI tools and cloud platform, the next generation of AI-enabled hybrid applications can run where your data lives. With Azure Stack, bring a trained AI model to the edge and integrate it with your applications for low-latency intelligence, with no tool or process changes for local applications.
Data scientists train a model using Azure Machine Learning workbench and an HDInsight cluster. The model is containerised and put into an Azure Container Registry.
The model is deployed to a Kubernetes cluster on Azure Stack.
End users provide data that’s scored against the model.
Insights and anomalies from scoring are placed into a queue.
A function sends compliant data and anomalies to Azure Storage.
Globally relevant and compliant insights are available in the global app.
Data from edge scoring is used to improve the model.
- 1 Data scientists train a model using Azure Machine Learning workbench and an HDInsight cluster. The model is containerised and put into an Azure Container Registry.
- 2 The model is deployed to a Kubernetes cluster on Azure Stack.
- 3 End users provide data that’s scored against the model.
- 4 Insights and anomalies from scoring are placed into a queue.
- 5 A function sends compliant data and anomalies to Azure Storage.
- 6 Globally relevant and compliant insights are available in the global app.
- 7 Data from edge scoring is used to improve the model.
Implementation guidance
Products/Description | Documentation | |
---|---|---|
Machine Learning Studio |
Easily build, deploy and manage predictive analytics solutions | |
HDInsight |
Provision cloud Hadoop, Spark, R Server, HBase and Storm clusters | |
Container Registry |
Store and manage container images across all types of Azure deployments | |
Azure Kubernetes Service (AKS) |
Simplify the deployment, management and operations of Kubernetes | |
Storage |
Durable, highly available and massively scalable cloud storage | |
Azure Stack |
Build and run innovative hybrid applications across cloud boundaries |
Related solution architectures
Hybrid CI/CD with Azure Stack
Implementing a continuous integration/continuous development (CI/CD) approach to deploying applications becomes difficult when on-premises applications are built and operated in different ways to cloud applications. Having a consistent set of development tools and processes across the Azure public cloud and on-premises Azure Stack environments makes it a lot easier for organisations to implement a practice of CI/CD. Apps and services deployed the right way in Azure and Azure Stack are essentially interchangeable and can run in either location.
Hybrid connectivity with Azure Stack
Azure Stack enables you to deploy Azure services on-premises or in the cloud with a consistent application logic, development paradigm and operations methodology. Hybrid cloud applications are a single system that has components running in both Azure and Azure Stack. This solution blueprint is relevant to establishing connectivity for any application that involves communications between the Azure public cloud and on-premises Azure Stack components. Hybrid connectivity is a foundational blueprint that will be applicable to most Azure Stack solutions. Note: This doesn’t apply to Azure Stack deployments that are disconnected from the public internet.
Hybrid identity with Azure Stack
The need to keep application components on-premises doesn’t have to be a barrier to adopting cloud technologies. With Azure Stack, app components can reside on-premises while interacting with components running in Azure public cloud. This blueprint enables teams to manage identity for users as well as applications in a way that is consistent across clouds.