Pipelines represent our ability to scale, orchestrate and schedule our processes via underlying infrastructure. Azure offers a number of different options in this space. This Playbook will provide some basic options as there are a number of more detailed repositories available to help here, namely:
Azure Cognitive Search provides an enrichment pipeline which provides the ability to extract information, chain the invocation of custom APIs alongside Microsoft Cognitive Services and store the output to a datastore, all as a managed service.
Have a look at the sample pipeline accelerator for Azure Cognitive Search
Azure Kubernetes Service (AKS) makes it simple to deploy a managed Kubernetes cluster in Azure. AKS reduces the complexity and operational overhead of managing Kubernetes by offloading much of that responsibility to Azure. As a hosted Kubernetes service, Azure handles critical tasks like health monitoring and maintenance for you.
Have a look at the sample Helm charts for Azure Kubernetes Service
Azure Machine Learning service is a cloud service used to train, deploy, automate, and manage machine learning models, all at the broad scale that the cloud provides.
Have a look at the sample pipeline accelerator for Azure Machine Learning
Connect your business-critical apps and services with Azure Logic Apps, automating your workflows without writing a single line of code.
Have a look at the sample pipeline accelerator for Azure Logic Apps with Form Recognizer
Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in Azure or third party service as well as on-premises systems.
Have a look at the sample pipeline accelerator for Azure Functions.