Microsoft’s Healthcare Bot Service is an extendable SaaS solution to build a powerful industry aware conversational bots that can be leveraged from the PC, Mobile or chat clients like Microsoft Teams.
The SQL Server connection to the Key Vault can be lost for various reasons of either the SQL Server (updates, backups etc..) or the Key Vault (Key expired, disabled etc.) Luckily Azure provides detailed logging and alerting through Azure Monitor Logs and Alerts.
In this post, Azure Consultant Nasir Sayed explains integration preferences between Log Analytics and Application Insights.
Agile’s approach to balancing capacity against demand starts from the principal of embracing change. Adaptability is Agile’s superpower. Waterfall projects will have a place for the foreseeable future. The most important thing that an organization can do is define when and how to apply each of the strategies.
Power BI Premium (Preview), Azure Analysis Services and SQL Server Analysis Services 2019 now support Calculation Groups! Why am I so excited? Because this functionality was one of the best capabilities in Multidimensional Analysis Services through Named Sets and Calculated Members.
We discuss moving legacy backend services that use Windows authentication over to an Azure App Service, with emphasis on web service stack and authentication & authorization considerations.
Power Platform provides a low code approach to developing mobile friendly apps, or to perform business process automation. A Power Platform hackathon can help users ideate and put together a Proof of Concept to validate an approach and demonstrate value quickly.
JavaScript Promises are powerful, and they become more powerful once we understand that a "resolved" Promise can be used more than once!
As your organization grows, you will start to have many repositories inside of your Azure DevOps projects. Most organizations allow developers to browse and contribute to any repository, and put policies on pull requests for specific branches to protect them.
In this post, I will cover a basic end to end-to-end example of taking a local Oracle database, setting up a project in a Git repository and using a Continuous Integration / Continuous Delivery (CI/CD) pipeline to take your database changes from code through to production.
