In this episode, learn how the Anomaly Detection service comes to your on-premises systems via containers.
By deploying the same API service close to your data in containers, now you don’t have to worry about situations when you have to keep the data on-premises to follow regulation, or to deal with network latency, or just want to reuse the same application powered-by Anomaly Detector across both the cloud and on-premise.
IoT is a technology paradigm that involves the use of internet connected devices to publish data often in conjunction with real-time data processing, machine learning, and/or storage services. Development of these systems can be enhanced through application of modern DevOps principles which include tasks like automation, monitoring, and all steps of the software engineering process from development, testing, quality assurance, and release. This video examines these concepts as they relate to IoT Edge Solutions using Azure DevOps, Application Insights, Azure Container Registries, containerized iot edge devices and Azure Kubernetes Service to create an end-to-end pipeline which deploys, smoke tests, and allows for scalable integration testing using replica sets in k8s.
We are quickly getting to the point that any AI engineer worth their salt needs to have a good grip on the fundamentals of kubernetes. It’s not just for the DevOps crowd anymore.
Official kubernetes (k8s) website says, Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google , […]
In this video, Noelle LaCharite talks about the new capability that allows developers to deploy some of our cognitive services as containers! Process data in the cloud or on device at the edge, the choice is yours!
In this video, Damian interviews Cloud Advocate Jay Gordon at Microsoft Ignite in Berlin. Containers are still new for a lot of people and with the huge list of buzzwords, it’s hard to know where to get started. Jay shows how easy it is to get started running your first container in Azure, right from scratch.