Azure Weekly

Azure Weekly Issue 447: 3rd December 2023

Let's start this week with AI; ML.NET 3.0 Boosts Deep Learning, Data Processing for .NET-Based AI Apps, there's also a nice Getting started with Azure AI Studio, and a feature I'm quite interested in trying - Write Your Git Commits with GitHub Copilot (hopefully it can deliver something more meaninful than "tweak", "change", "tweak" which too many of my commit messages seem to be).

In the data and analytics space: Semantic Link: OneLake integrated Semantic Models and Microsoft Fabric real-time analytics exploration:KQL Database mirroring and What are Kusto Query Language KQL databases in Microsoft Fabric?.

In Cloud Native Apps, a particularly good article - Getting Hands-On with Azure Functions: A Deep Dive and Secure access to your Azure App Services/Function Apps/Logic Apps using Azure AD OAuth and API.

I mentioned this topic earlier in the year, but code = energy = money = carbon. Creating highly efficient code, can have a huge positive impact on your infrastructure, your budget, and the environment. Several years ago we worked on a data and analytics project that needed to inject large amounts of real time data - marine shipping vessel locations from the entire planet. The initial implementation used a popular Python package (a wrapper over a C++ library) and that could process 50,000 AIS (Automatic Identification System) messages per second, and needed a 45 node cluster in order to ingest the data volume. We hypothesised that we could do a much better job, and re-implemented the AIS specification using C# / .NET Core 2.0 and achieved 2.6 million messages / sec / core, and allowed us to move the entire data ingestion process into a single Azure Function and reduced the ingestion lag from hours to near real time. With ever subsequent release of .NET we have seen significant performance improvements (with no additional code changes); and with .NET 8.0 was no exception; we've seen AIS.NET performance boosted by 27% which means we can now process 4.75 million messages / sec / core. Python may well be the most popular language for data science / engineering workloads, but for computationally intensive workloads, .NET is a great choice (and in my opinion needs better support in Spark & ML training environments like Microsoft Fabric).

AI + Machine Learning

Covering: Anomaly detector, Azure Bot Service, Azure Machine Learning, Azure Open Datasets, Bing APIs, Cognitive Services, Computer Vision, Content moderator, Custom vision, Data Science Virtual Machines, Face, Form Recogniser, Immersive Reader, Ink Recogniser, Language Understanding (LUIS), Machine Learning Studio, Microsoft Genomics, ML.NET, Personaliser, Project Cortex, QnA Maker, Speaker Recognition, Speech-to-Text, Speech translation, Text Analytics, Text to Speech , Translator Speech, Translator Text


Covering: Apache Spark for HDInsight, Azure Analysis Services, Azure Data Explorer, Azure Data Share, Azure Databricks, Azure Stream Analytics, Azure Synapse Analytics, Data Factory, Event Hubs, HDInsight, Microsoft Purview, Microsoft Fabric


Covering: Azure CycleCloud, Azure Dedicated Host, Azure Functions, Azure VMware Solution by CloudSimple, Batch, Cloud Services, Linux Virtual Machines, SAP HANA on Azure Large Instances, Service Fabric, Virtual Machines, Virtual Machine Scale Sets


Covering: Azure Kubernetes Service (AKS), Azure Red Hat OpenShift, CNAB, CNCF, Container Instances, Container Registry, Porter, WSL, Web App for Containers


Covering: Azure Cosmos DB, Azure Database for MariaDB, Azure Database for MySQL, Azure Database for PostgreSQL, Azure SQL Database, Azure SQL Database Edge, Azure Cache for Redis, SQL Data Warehouse, SQL Server on virtual machines, SQL Server Stretch Database, Table storage

Developer Tools

Covering: App Configuration, Azure Lab Services, CLIs, Developer tool integrations, SDKs, Visual Studio, Visual Studio Code, Visual Studio Online


Covering: Azure Artifacts, Azure Boards, Azure DevOps, Azure Pipelines, Azure Repos, Azure Test Plans, Azure DevTest Labs, DevOps tool integrations

Hybrid + Multicloud

Covering: Azure Arc, Azure Stack


Covering: Azure Active Directory (AD), Azure Active Directory B2C, Azure Active Directory Domain Services


Covering: Azure API for FHIR, Event Grid, Logic Apps, Service Bus

Internet of Things

Covering: Azure Digital Twins, Azure IoT Central, Azure IoT Edge, Azure IoT Hub, Azure IoT solution accelerators, Azure Maps, Azure Sphere, Azure Time Series Insights, IoT DevKit, WildernessLabs, Windows 10 IoT Core Services


Covering: Microsoft Certifications, Azure Certifications, Microsoft Learning Paths, Certification Pathway Information

Management and Governance

Covering: Automation, Azure Advisor, Azure Backup, Azure Blueprints, Azure Lighthouse, Azure Managed Applications, Azure mobile app, Azure Monitor, Azure Policy, Azure Resource Manager, Azure Service Health, Azure Site Recovery, Cloud Shell, Cost Management, Microsoft Azure portal, Scheduler, Azure Purview


Covering: Azure Media Player, Content Protection, Encoding, Live and On-Demand Streaming, Media Analytics, Media Services, Video Indexer


Covering: Azure Database Migration Service, Azure Migrate, Data Box


Covering: App Service (Mobile), Mobile apps, Notification Hubs, Visual Studio App Centre, Xamarin


Covering: Application Gateway, Azure Bastion, Azure DNS, Azure ExpressRoute, Azure Firewall, Azure Firewall Manager, Azure Front Door, Azure Internet Analyzer, Azure Private Link, Content Delivery Network, Load Balancer, Network Watcher, Traffic Manager, Virtual Network, Virtual WAN, VPN Gateway, Web Application Firewall


Covering: Archive Storage, Avere vFXT for Azure, Azure Data Lake Store, Azure FXT Edge Filer, Azure HPC Cache, Azure NetApp Files, Blob Storage, Disk Storage, File Storage, Managed Disks, Queue Storage, Storage Accounts, Storage Explorer, StorSimple


Covering: API apps, API Management, App Service (Web), Azure Cognitive Search, Azure SignalR Service, Azure Spring Cloud, Web apps

Azure Virtual Desktop

Covering: Azure Virtual Desktop

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