Most of the time, your apps are running happily and healthily.

However, when things go wrong, you can use Genie and Navigator in App Service Diagnostics to figure out what’s wrong.

Jen Lee joins Scott Hanselman to show how the App Service Diagnostics interactive interface (Genie) guides you intelligently through the self-troubleshooting experience. Navigator, enables you to find potentially breaking changes to your app and its dependencies.

Related links:

Gaurav Malhotra joins Scott Hanselman to show how wrangling data flows in Azure Data Factory.

This provides  a code-free, serverless environment that simplifies data preparation in the cloud and scales to any data size with no infrastructure management required.

It uses the industry-leading Power Query data preparation technology (also used in Power Platform dataflows, Excel, and Power BI) to prepare and shape the data. Built to handle all the complexities and scale challenges of big data integration, wrangling data flows enable use Apache Spark execution to help you easily prepare data at scale.

Aman Bhardwaj and Yaron Schneider join Scott Hanselman to talk about the core concepts of Distributed Application Runtime (Dapr).

Dapr is a portable, event-driven runtime that makes it easy for developers to build resilient, microservice stateless and stateful applications that run on the cloud and edge and embraces the diversity of languages and developer frameworks     

Dapr Resources

Using a bastion host can help limit threats such as port scanning and other types of malware targeting your VMs.

Ashish Jain joins Scott Hanselman to show how Azure Bastion gives you secure and seamless RDP and SSH access to your virtual machines.

Now you can securely access your VMs over SSL from the Azure portal and without exposing public IP addresses.

Related Links

    Gaurav Malhotra joins Scott Hanselman to show how you can run your Azure Machine Learning (AML) service pipelines as a step in your Azure Data Factory (ADF) pipelines.

    This enables you to run your machine learning models with data from multiple sources (85+ data connectors supported in ADF).

    This seamless integration enables batch prediction scenarios such as identifying possible loan defaults, determining sentiment, and analyzing customer behavior patterns.     

    Related Links

    Kirill Gavrylyuk joins Scott Hanselman to show how to run Jupyter Notebook and Apache Spark in Azure Cosmos DB. Now you can use the interactive experience of Jupyter Notebook and analytics powered by Apache Spark with your operational data. Run analytics and ML on your operational data in real time without data movement, and without the need to split into transactional and analytical silos.

    [00:02:18] Jupyter Notebook demo

    [00:05:41] Jupyter Notebook + Apache Spark demo     

    Related Links:

    Miao Jiang joins Scott Hanselman to walk through a conceptual framework for building a CI/CD pipeline to automate the deployment of APIs into Azure API Management.

    Learn about common automation challenges with API Management and how the suggested approach addresses these challenges. For a demonstration, see: Build a CI/CD pipeline for API Management, Part 2.

    Related Links:

    Saurya Das joins Scott Hanselman to show how multiple node pools for Azure Kubernetes Service (AKS) enable you to use different virtual machine sizes in a node pool supporting a variety of workloads in a single AKS cluster. For example, an e-commerce website can have a node pool for a billing service and another for a machine learning-based recommendation service, each with GPUs.     

    Related links

    Jacob Jedryszek joins Scott Hanselman to talk about about using Cognitive Services with Azure Search with your mobile and web apps. Skip hiring search experts who know what an inverted index is.

    Don’t worry about distributed systems expertise to scale your service to handle large amount of data.

    And forget about setting up, owning and managing the infrastructure. Let Azure Search do it all for you!