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Real World Scenario Testing using Azure DevOps and automated UI tests

In this episode, Abel Wang chats with Deepak Saini and Michael Ma to talk about scenario testing with automated UI tests.In the context of Azure Platform as a Service (PaaS), Web apps have a very high availability SLA (typically >= ... continue reading
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Automate MLOps workflows with Azure Machine Learning service CLI

This blog was co-authored by Jordan Edwards, Senior Program Manager, Azure Machine Learning This year at Microsoft Build 2019, we announced a slew of new releases as part of Azure Machine Learning service which focused on MLOps. These capabilities help ... continue reading

Microsoft and Truffle partner to bring a world-class experience to blockchain developers

Last month, Microsoft released Azure Blockchain Service making it easy for anyone to quickly setup and manage a blockchain network and providing a foundation for developers to build a new class of multi-party blockchain applications in the cloud. To enable ... continue reading

4 best practices to help you integrate security into DevOps

Microsoft’s transition of its corporate resources to the cloud required us to rethink how we integrate security into the agile development environment. In the old process, we often worked on 6- to 12-month development cycles for internal products. The security ... continue reading
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Building a better asset and risk management platform with elastic Azure services

Elasticity means services can expand and contract on demand. This means Azure customers who are on a pay-as-you-go plan will reap the most benefit out of Azure services. Their service is always available, but the cost is kept to a ... continue reading

Adding a Wiki to your Azure DevOps Project

In this video, Abel talks to Dipendra Namdeo to find out about the Azure DevOps Wiki - an online wiki solution built into Azure DevOps. In a software project, there is a need to share information and document knowledge about ... continue reading

Introducing Azure Boards to the GitHub Marketplace

Anisha Pindoria speaks with Alex Nichols about the introduction of the Azure Boards app to the GitHub Marketplace, a new way to integrate between the two services so that you can stay organized and focused on delivering value.As your organization ... continue reading
Build ETL pipelines collaboratively using Git integration in Azure Data Factory

Build ETL pipelines collaboratively using Git integration in Azure Data Factory

Enable Git source control (Azure DevOps Git or GitHub) in your data factories to do collaboration, source control, change tracking, change difference, continuous integration, and deployment.Visual authoring in Azure Data Factory - Advantages of Git integrationAzure Data Factory overviewAzure Data ... continue reading
Quote from Eric Boyed, VP of C+AI - "We have heard from customers everywhere that they want to adopt ML but struggle to actually get modles into production. With the new MLOps capabilities in Azure Machine Learning, bringing ML to add calue to your business has become better, faster, and more reliable than ever before."

Take your machine learning models to production with new MLOps capabilities

This blog post was authored by Jordan Edwards, Senior Program Manager, Microsoft Azure. At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. MLOps, also known as DevOps for machine learning, is the practice of collaboration and ... continue reading
Kubernetes cluster diagram showing journey from CLI to external trigger source

Advancing the developer experience for serverless apps with Azure Functions

Azure Functions constantly innovates so that you can achieve more with serverless applications, enabling developers to overcome common serverless challenges through a productive, event-driven programming model. Some releases we made in the last few weeks are good examples of this, ... continue reading