Category: Microsoft
Category Archives: Microsoft
Logical Networks in Azure Portal for HCI: Setting the Stage for Software Defined Networking
At this past Microsoft Ignite 2023, we officially announced the public preview of logical networks in Azure Portal for Azure Stack HCI. These logical networks, also called LNETs, are traditional VLAN-based networks. You may have noticed that this construct was previously called virtual networks in Azure Portal. After all, if you compare the Azure Stack HCI experience to Azure, a virtual machine always gets connected to a virtual network; thus, why is it necessary to bring in logical networks to Azure Portal for HCI?
In Azure, everything is virtualized, and any customer who is trying to onboard their workloads onto Azure is doing it all on a virtual network. However, in Azure Stack HCI, there are customers who want to put their applications either on a completely virtualized network or on a physical network. In order to create that differentiation, we have introduced logical networks to represent your physical networks.
It’s important to note that in a few months, logical networks will give you the ability to provision network security groups on your logical networks in the same way you can provision them on your virtual networks on Azure. While currently you can attach a virtual machine to a logical network, you will later get the capability to not only provision network security groups to secure your VMs even though they are sitting on regular VLANs, but you will also be able to create and manage software load balancers with SDN logical networks. All these policies will be software-defined with no changes needed on the physical network.
Now, you may be wondering how you can provision Azure-style virtual networks through Portal for HCI… do not worry, because virtual networks are coming soon! The virtual networks that we will be bringing in later this year will function in the same way virtual networks in Azure are currently used; all we are doing is bringing in LNETs first to ensure that we have two different types of networks available and that the other type of network, which is your physical network, is represented.
Ultimately, launching logical networks on Portal was needed to bring our north star of SDN virtual networks that will be coming in late 2024. Logical network support through the Portal is an essential part of SDN in ASHCI, as it allows you to start using SDN with VLANs that you are already familiar with. With logical network support in Azure Portal, you can understand how SDN can provide value to your workloads before moving on to virtual networks and therefore be able to integrate SDN more seamlessly into your networks.
Please check out the demo below showing the logical network experience in Azure Portal. In this demo, Azure Stack HCI Senior PM Varun Lakshmanan demonstrates how to create a static and dynamic logical network as well as provision a virtual machine on a logical network in Azure Portal for HCI.
We are so excited to finally bring in logical networks, and we hope you can reap the benefits of LNETs in the Azure Portal experience for HCI. Please look forward to additional security benefits added to LNETs with network security groups as new SDN capabilities are added later this year. As always, please feel free to give us feedback on your SDN experience by emailing sdn_feedback@microsoft.com. We hope to continue improving our product and your experience in any way we can!
Microsoft Tech Community – Latest Blogs –Read More
Partner Blog | Partner Center Technical Corner: March 2024 edition
In this month’s edition of Partner Center Technical Corner, we’re covering the updates that will help you and your organization be more efficient, informed, and secure. It begins with a spotlight on the power of AI, then covers calls to action and before diving into the latest releases. As always, at the end of the blog you’ll find the most up-to-date technical roadmap and essential Partner Center resources.
Continue reading here
Microsoft Tech Community – Latest Blogs –Read More
Feel empowered and ready for AI with our new webinar series!
On Thursday March 14, the Viva People Science team kicked off our new AI Empowerment webinar series, designed to help you feel empowered, excited and ready for AI in your organizations. In this first webinar, we heard from Carolyn Kalafut (Principal People Scientist, Viva People Science), Gogi Anand (Business Value Manager, Copilot Growth), Melissa Barry (Head of Customer Empowerment, Viva People Science) and Hao Lui (Senior Product Manager, Viva Glint).
The presenters shared tips on how to roll-out AI in your organizations and other useful Microsoft resources on AI readiness. We then heard more about our developments in AI and Copilot in the Viva Glint product.
If you missed the live event, you can watch the recording and access the slides from the session below.
Join us for the next event in this series: AI Empowerment – The game-changer for the employee experience.
Microsoft Tech Community – Latest Blogs –Read More
[PELISPLUS] Ver Kung Fu Panda 4 Película Completa Gratis Online en Español y Latino
Hace 05 minutos — Ver Kung Fu Panda 4 dos Online Gratis en español, Latino,Castellano ySubtitulado sin registrarse. Ver estrenos de películas y también las mejores películasen HD Kung Fu Panda 4 2024 película Completa en español o con subtítulos en tu idioma,en HD y hasta en calidad 2024 HD con Audio español Latino y
EXCLUSIVE UPDATED MARCH 19, 2024
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Ver la película de Kung Fu Panda 4 online en Español sin cortes y sin publicidad,La monjaII pelicula completa online latino, esta disponible, como siempre enRepelisplay clubNuestro contenido está adaptado al Subtitulada Español, Castellano y Latino.Ya se puede ver película Kung Fu Panda 4 online latino completas gratis, Disfruta delcineonline gratis y sin salir de tu casa. Ver Kung Fu Panda 4 (2024) online enespañol,castellano y latino. Película completa gratis en calidad HD y subtitulada.Kung Fu Panda 4: Todo sobre la nueva película James Bond, Fecha de estreno yDóndever la películaNada puede prepararte para No Time to Die: protégete de los spoilers paradisfrutarplenamente de esta película y cerrar así el arco de quince años y cincopelículas en las quehemos disfrutado del gran Daniel Craig. en el papel deJames Bond.No Time to Die (Kung Fu Panda 4) es la vigesimoquinta película de James BondLinkstoan external site. producida por Eon Productions. Contará con Daniel Craig en suquinta y últimaactuación como James Bond. Cary Fukunaga dirigirá la cinta tras larenuncia del director DannyBoyle argumentando “diferencias creativas”. La películaserá escrita por Neal Purvis y RobertWade, habituales guionistas de la franquicia.El desarrollo comenzó en 2016. Será la primera película de Bond distribuida porUniversalPictures, que adquirió los derechos de distribución internacional tras laexpiración del contratode Sony Pictures tras el estreno de Spectre en 2015. Lasubsidiaria de Metro-Goldwyn-Mayer,United Artists Releasing posee losderechos para América del Norte, incluidos los derechosdigitales y de televisiónen todo el mundo. Universal también tiene los derechos de los mediosfísicosdomésticos en todo el mundo.¿Cuándo se estrena Kung Fu Panda 4 en Chile?Kung Fu Panda 4 tiene fecha de estreno para el 1 de octubre de 2024 en Chile ylosLatinoamérica.Detalles de la pelicula Kung Fu Panda 4Daniel Craig (James Bond), Rami Malek (Lyutsifer Safin), Ralph Fiennes (M),Naomie Harris (EveMoneypenny), Ana de Armas (Paloma), Ben Whishaw (Q),Jeffrey Wright (Felix Leiter), LéaSeydoux (Madeleine Swann), Rory Kinnear(Tanner), Dali Benssalah (Primo), Billy Magnussen(Logan Ash), David Dencik (ValdoObruchev), Lashana Lynch (Nomi)
Historia de Película Kung Fu Panda 4 (2024)“Kung Fu Panda 4”: Un 007 para la historia. Han sido seis largos años y varios mesesdeespera tras la pandemia, pero por fin ha llegado la ansiada despedida de DanielCraig comoJames Bond. Kung Fu Panda 4 (No Time to Die) es la quinta y definitivaentrega deuna saga que empezó en 2006, y que esta vez cuenta con Cary JojiFukunaga (Beasts of NoNation, สัปเหร่อ) detrás de cámaras. Estreno en salasde cine españolas el 1 de octubrede 2024.¿Qué pasó con el estreno de Kung Fu Panda 4?Año y medio después de su fecha prevista de estreno, que ha sido aplazado envarias ocasionespor la pandemia, llega por fin a los cines Kung Fu Panda 4 (No timeto die), lo últimode James Bond, una cinta que supone la despedida de DanielCraig del agente secreto másfamoso del mundo¿Dónde Ver Kung Fu Panda 4 online, la Película Completa Español Latino?Kung Fu Panda 4 película completa (2024) ya esta disponibles en plataformadestreaming como Netflix, HBO Max, Amazon Prime Video, Repelis, y otros paraver películas.Kung Fu Panda 4 película completa (2024) ya esta disponibles en plataformadestreaming como Netflix, HBO Max, Amazon Prime Video, Repelis, y otros paraver películas.Páginas para ver pelicula Kung Fu Panda 4 gratis? Ver película Avatar: El sentidodelagua online gratis en HD sin cortes? Ver Kung Fu Panda 4 películas online gratisenespañol? ¡VER AQUI!Si quieres ver películas gratis y series online en español y latino solo debes depáginas webcomo Repelis-play, ponerte al día. Y no necesitas una cuenta en deNetflix, HBO, Amazon PrimeVideo, Blim, y otros para ver películas.Ver Kung Fu Panda 4 películas online gratis en español y latino | Gracias a Internetesposible ver pelis Kung Fu Panda 4 gratis onlineen español y también sub latino sinnecesidad de pagar una cuenta de premiumcomo Netflix, HBO Go, Amazon Prime Video oRepelis. Si eres de las personas quebusca en Google términos como “páginas para ver pelisonline”, “estrenos españolonline”, “películas online en español”, “películas gratis online”, “verpelis online”, entreotros keywords, seguramente has sido llevado a páginas web dedudosaprocedencia o que te obligan a registrarte con alguna cuenta en La monja
IIessociales. Si te hartaste de eso, a continuación podrás ver las mejores películasgratis online paradisfrutar sin problemas, sin interrupciones y sin publicidad paraconvertir tu casa en un cine.Esta páginas para ver Kung Fu Panda 4 online sin publicidad y sin cortes, así queprestaatención y apunta, que la buena experiencia cinéfila -o seriéfila- estáplenamentegarantizada en estos websites. Si no tienes los códigos de Netflix a lamano o tu conexión no tepermite descargar películas gratis en Mega HD, conocecómo ver películas de acción, terror,comedias, clásicos y hasta teen movies de laforma más fácil con solo unos clics. Hasta pelis deestreno puedes encontrar enespañol.Páginas web para ver película Kung Fu Panda 4 gratis son de fácil acceso. eso sí,solonecesitas crear una cuenta para ver y descargar de películas, La mayoría deestas páginas webpara ver películas gratis son de fácil acceso y no es necesario elregistro. Eso sí, algunas incluyenpublicidad antes de la reproducción del títuloelegido, aunque esta es casi imperceptible.Repelis es una plataforma donde puedesver películas de manera gratuita sin publicidad y legalcon un amplio catálogo depelículas, donde el usuario puede filtrar los filmes por el género, esdecir, Romance,Acción, Comedia, Drama, Horror, Aventura, Animación, Animes,Superhéroes.Cómic. DC Comics, Marvel, Disney, entre otros. Todas las películasson de alta calidad, incluyeuna sólida colección de programas de televisión, Paraacceder a ellas gratis solo necesitas crear una cuenta. Esta página es gratuita y librede anuncios. Además, ofrece artículos sobre estrenosindependientes y comerciales.
Hace 05 minutos — Ver Kung Fu Panda 4 dos Online Gratis en español, Latino,Castellano ySubtitulado sin registrarse. Ver estrenos de películas y también las mejores películasen HD Kung Fu Panda 4 2024 película Completa en español o con subtítulos en tu idioma,en HD y hasta en calidad 2024 HD con Audio español Latino y EXCLUSIVE UPDATED MARCH 19, 2024 VER AHORA :red_circle::white_heavy_check_mark::backhand_index_pointing_right: Kung Fu Panda 4 (2024) Películas Completa Online DESCARGAR :red_circle::white_heavy_check_mark::backhand_index_pointing_right: Kung Fu Panda 4 (2024) Películas Completa Online Kung Fu Panda 4 (2024) es una Ciencia ficción película dirigida Stephen E. Rivkinyprotagonizada por Sam Worthington, Zoe Saldaña. Ambientada más de unadécada después delos acontecimientos de la primera película, ‘Avatar:The Way of Water’ empieza contando lahistoria de la familia Sully (Jake, Neytiri ysus hijos), los problemas que los persiguen, lo quetienen que hacer paramantenerse a salvo, las batallas que libran para seguir con vida y lastragediasque sufren.Transmita su película o programa de TV favorito ahora mismo! Tenemos lo último ylo mejorde los clásicos. Regístrese gratis. Películas de acción y drama, películasrománticas para chicas,Thrillers que te mantendrán al borde de tu asiento, lotenemos todo para que lo disfrutes en tuPC Kung Fu Panda 4 (2024) Película completa Ver película COMPLETA en línea¡Regístrate123 películas en línea! [DvdRip-HINDI]] Venom: ¡Que hayacarnicería! (2024) Película completaVer en línea gratis 123 Películas en línea !! Kung Fu Panda 4 (2024) Mira Avatar: Elsentidodel agua (2024) Transmisión de películas HD en línea completa Descargagratuitailimitada, Kung Fu Panda 4 Seriecompleta 2024 Película en línea gratis DVD Rip FullHD con subtítulos en ingléslistos para Descargar.Mira Kung Fu Panda 4 (2024) Película completa en línea Streaming 123Movies gratisDónde puedes mirar? Kung Fu Panda 4 Movie (2024) Acceso de prueba gratuito enlínea.Veneno: Que haya matanza [BlUrAy] | Mira Kung Fu Panda 4 Online 2024Películacompleta Gratis HD.720Px | Mira Avatar: El sentido del agua Online 2024Películacompleta Gratis HD !! Kung Fu Panda 4 (2024) con subtítulos en inglés listosparadescargar, Kung Fu Panda 4 2024 720p, 1080p, BrRip, DvdRip, Youtube, Avatar:Elsentido del aguadit, multilenguaje y alta calidad.mira Kung Fu Panda 4 Transmisión gratuita en línea, Mira Kung Fu Panda 4Transmisióncompleta en línea en calidad HD. Vamos a ver las últimas películas de tuspelículasfavoritas, Kung Fu Panda 4. vamos únete a Venom: ¡¡Que haya carnicería !!123Movies o 123movieshub era un sistema de sitios de transmisión de archivos quefuncionabadesde Vietnam, lo que permitía a los clientes ver películas de formagratuita. La Avatar: Elsentido del agua 123Movies todavía está activa a través desitios de clonación. 123Movies esuna buena alternativa para Kung Fu Panda 4 (2024)Película en línea Avatar: Elsentido del aguars, proporciona las mejores y másrecientes películas, series de televisión,episodios y anime en línea, etc. Tiene unbuen equipo de soporte al que podemos preguntar ysolicite cargar las últimaspelículas, programas de TV, etc. deseados. Aquí podemos dar unacalificación a Lamonja II viendo la película. La transmisión en línea es excelentepara ver películasgratis en línea. 123Movies tiene excelentes pestañas de filtro en la página deinicioque podemos seleccionar y ver las películas Destacadas, Más vistas, Másfavoritas, Mejorcalificación, Mejores películas de IMDb en línea. Aquí podemosdescargar y ver películas de123movies sin conexión. Los sitios web de 123Moviesson la mejoralternativa para ver Avatar:El sentido del agua (2024) gratis en línea.Recomendaremos 123Movies es la mejor alternativade Solarmovie. 123Movies hadividido su contenido multimedia en películas, series detelevisión, destacados,episodios, género, IMDB superior, solicitados y años de lanzamientosabiamente. Ver la película de Kung Fu Panda 4 online en Español sin cortes y sin publicidad,La monjaII pelicula completa online latino, esta disponible, como siempre enRepelisplay clubNuestro contenido está adaptado al Subtitulada Español, Castellano y Latino.Ya se puede ver película Kung Fu Panda 4 online latino completas gratis, Disfruta delcineonline gratis y sin salir de tu casa. Ver Kung Fu Panda 4 (2024) online enespañol,castellano y latino. Película completa gratis en calidad HD y subtitulada.Kung Fu Panda 4: Todo sobre la nueva película James Bond, Fecha de estreno yDóndever la películaNada puede prepararte para No Time to Die: protégete de los spoilers paradisfrutarplenamente de esta película y cerrar así el arco de quince años y cincopelículas en las quehemos disfrutado del gran Daniel Craig. en el papel deJames Bond.No Time to Die (Kung Fu Panda 4) es la vigesimoquinta película de James BondLinkstoan external site. producida por Eon Productions. Contará con Daniel Craig en suquinta y últimaactuación como James Bond. Cary Fukunaga dirigirá la cinta tras larenuncia del director DannyBoyle argumentando “diferencias creativas”. La películaserá escrita por Neal Purvis y RobertWade, habituales guionistas de la franquicia.El desarrollo comenzó en 2016. Será la primera película de Bond distribuida porUniversalPictures, que adquirió los derechos de distribución internacional tras laexpiración del contratode Sony Pictures tras el estreno de Spectre en 2015. Lasubsidiaria de Metro-Goldwyn-Mayer,United Artists Releasing posee losderechos para América del Norte, incluidos los derechosdigitales y de televisiónen todo el mundo. Universal también tiene los derechos de los mediosfísicosdomésticos en todo el mundo.¿Cuándo se estrena Kung Fu Panda 4 en Chile?Kung Fu Panda 4 tiene fecha de estreno para el 1 de octubre de 2024 en Chile ylosLatinoamérica.Detalles de la pelicula Kung Fu Panda 4Daniel Craig (James Bond), Rami Malek (Lyutsifer Safin), Ralph Fiennes (M),Naomie Harris (EveMoneypenny), Ana de Armas (Paloma), Ben Whishaw (Q),Jeffrey Wright (Felix Leiter), LéaSeydoux (Madeleine Swann), Rory Kinnear(Tanner), Dali Benssalah (Primo), Billy Magnussen(Logan Ash), David Dencik (ValdoObruchev), Lashana Lynch (Nomi) Historia de Película Kung Fu Panda 4 (2024)“Kung Fu Panda 4”: Un 007 para la historia. Han sido seis largos años y varios mesesdeespera tras la pandemia, pero por fin ha llegado la ansiada despedida de DanielCraig comoJames Bond. Kung Fu Panda 4 (No Time to Die) es la quinta y definitivaentrega deuna saga que empezó en 2006, y que esta vez cuenta con Cary JojiFukunaga (Beasts of NoNation, สัปเหร่อ) detrás de cámaras. Estreno en salasde cine españolas el 1 de octubrede 2024.¿Qué pasó con el estreno de Kung Fu Panda 4?Año y medio después de su fecha prevista de estreno, que ha sido aplazado envarias ocasionespor la pandemia, llega por fin a los cines Kung Fu Panda 4 (No timeto die), lo últimode James Bond, una cinta que supone la despedida de DanielCraig del agente secreto másfamoso del mundo¿Dónde Ver Kung Fu Panda 4 online, la Película Completa Español Latino?Kung Fu Panda 4 película completa (2024) ya esta disponibles en plataformadestreaming como Netflix, HBO Max, Amazon Prime Video, Repelis, y otros paraver películas.Kung Fu Panda 4 película completa (2024) ya esta disponibles en plataformadestreaming como Netflix, HBO Max, Amazon Prime Video, Repelis, y otros paraver películas.Páginas para ver pelicula Kung Fu Panda 4 gratis? Ver película Avatar: El sentidodelagua online gratis en HD sin cortes? Ver Kung Fu Panda 4 películas online gratisenespañol? ¡VER AQUI!Si quieres ver películas gratis y series online en español y latino solo debes depáginas webcomo Repelis-play, ponerte al día. Y no necesitas una cuenta en deNetflix, HBO, Amazon PrimeVideo, Blim, y otros para ver películas.Ver Kung Fu Panda 4 películas online gratis en español y latino | Gracias a Internetesposible ver pelis Kung Fu Panda 4 gratis onlineen español y también sub latino sinnecesidad de pagar una cuenta de premiumcomo Netflix, HBO Go, Amazon Prime Video oRepelis. Si eres de las personas quebusca en Google términos como “páginas para ver pelisonline”, “estrenos españolonline”, “películas online en español”, “películas gratis online”, “verpelis online”, entreotros keywords, seguramente has sido llevado a páginas web dedudosaprocedencia o que te obligan a registrarte con alguna cuenta en La monja IIessociales. Si te hartaste de eso, a continuación podrás ver las mejores películasgratis online paradisfrutar sin problemas, sin interrupciones y sin publicidad paraconvertir tu casa en un cine.Esta páginas para ver Kung Fu Panda 4 online sin publicidad y sin cortes, así queprestaatención y apunta, que la buena experiencia cinéfila -o seriéfila- estáplenamentegarantizada en estos websites. Si no tienes los códigos de Netflix a lamano o tu conexión no tepermite descargar películas gratis en Mega HD, conocecómo ver películas de acción, terror,comedias, clásicos y hasta teen movies de laforma más fácil con solo unos clics. Hasta pelis deestreno puedes encontrar enespañol.Páginas web para ver película Kung Fu Panda 4 gratis son de fácil acceso. eso sí,solonecesitas crear una cuenta para ver y descargar de películas, La mayoría deestas páginas webpara ver películas gratis son de fácil acceso y no es necesario elregistro. Eso sí, algunas incluyenpublicidad antes de la reproducción del títuloelegido, aunque esta es casi imperceptible.Repelis es una plataforma donde puedesver películas de manera gratuita sin publicidad y legalcon un amplio catálogo depelículas, donde el usuario puede filtrar los filmes por el género, esdecir, Romance,Acción, Comedia, Drama, Horror, Aventura, Animación, Animes,Superhéroes.Cómic. DC Comics, Marvel, Disney, entre otros. Todas las películasson de alta calidad, incluyeuna sólida colección de programas de televisión, Paraacceder a ellas gratis solo necesitas crear una cuenta. Esta página es gratuita y librede anuncios. Además, ofrece artículos sobre estrenosindependientes y comerciales. Read More
Networking errors when enabling SQL Server by Azure Arc
When onboarding your SQL Server instance to Azure Arc, there are some networking prerequisites that need to be met. The prerequisites are documented here in detail Prerequisites – SQL Server enabled by Azure Arc | Microsoft Learn
Some common errors when the prerequisites are not met are:
SSL Errors:
System.Net.Http.HttpRequestException: The SSL connection could not be established, see inner exception.
—> System.IO.IOException: Unable to read data from the transport connection:
A connection attempt failed because the connected party did not properly respond after a period of time, or established connection
failed because connected host has failed to respond.. —> System.Net.Sockets.SocketException (10060)A connection attempt failed
because the connected party did not properly respond after a period of time, or established connection failed because connected host
has failed to respond
The SSL connection could not be established, see inner exception.
—> System.IO.IOException: Unable to read data from the transport connection: An existing connection was forcibly closed by the
remote host.. —> System.Net.Sockets.SocketException (10054 An existing connection was forcibly closed by the remote host.
— End of inner exception stack trace —
at System.Net.Sockets.Socket.AwaitableSocketAsyncEventArgs.ThrowException(SocketError error, CancellationToken cancellationToken)
at System.Net.Sockets.Socket.AwaitableSocketAsyncEventArgs.System.Threading.Tasks.Sources.IValueTaskSource<System.Int32>.GetResult(Int16 token)
at System.Net.Security.SslStream.<FillHandshakeBufferAsync>g__InternalFillHandshakeBufferAsync|189_0[TIOAdapter](TIOAdapter adap, ValueTask`1 task, Int32 minSize)
SSL Error Causes:
1. Check if URLs listed on the prerequisites are blocked in the environment. Connectivity to URLs listed on this document Troubleshoot connectivity to data processing service and telemetry endpoints – SQL Server enabled by Azure Arc | Microsoft Learn are necessary for onboarding to succeed.
2. Check to see if there are any proxies or firewalls in the network path. Proxies or firewalls have the ability to do TLS inspection which can affect SSL/TLS connections. If browser, curl, or openssl is showing a third party software that does TLS inspection or similar, and the client does not trust the firewall certificates, it can lead to TLS/SSL issues.
Some tools to use to collect traces:
1. Test-NetConnection should succeed
Example: Test-NetConnection to test DPS endpointTest-NetConnection -ComputerName san-af-yourregion-prod.azurewebsites.net -Port 443
2. Invoke-WebRequest should succeed
Example: Invoke-WebRequest -Uri san-af-yourregion-prod.azurewebsites.net
3. If connectivity tests fail, review your network configuration for any blocked URLs, proxies, firewall, TLS inspection as described above. Network tracing tools would also help narrow down any networking config issues, How to collect a network trace | Microsoft Learn
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Java client changes to support TLS 1.3 with Azure Service Bus and Azure Event Hubs
Microsoft is looking to enable TLS 1.3 for Azure Service Bus, and Azure Event Hubs. We found however that there is a problem with some clients that use both Java and our AMQP or JMS interfaces. Java clients that use Apache Proton-J with a version older than proton-j-0.31.0 along with Java 11+ can’t support TLS 1.3. The Proton-J library is used in AMQP and JMS implementations. The nature of the problem lies in the handshake and is thus not detectable by our application layer. This means that we can’t detect and work around the issue from the service side. To avoid this problem, customers need to update any instances of Apache Proton-J that have a version older than proton-j-0.31.0. The link for the Proton-J issue is tracked at https://issues.apache.org/jira/browse/PROTON-1972
Required action
Proton-J may also be in a dependent library and may not be directly used by your code. To determine if you have an incompatibility with TLS 1.3, we have enabled the West Central US region with TLS 1.3 support for AMQP traffic. To test if you have a compatibility issue
first evaluate if you are using AMQP or JMS
Second, determine if you are using Java 11+ with your client code
Third, if you are using AMQP or JMS and also Java 11+, then create a namespace in West Central US and attempt to connect to it with your code.
If your client fails to connect, you need to find where you are using Proton-J and get the version used updated to a version that is newer than proton-j-0.30.0.
Timeline
As already noted, this only affects AMQP or JMS traffic. It does not affect web service or Kafka traffic which does have TLS 1.3 enabled now. We are going to enable TLS 1.3 for AMQP and JMS on October 31, 2024. That is also the same day that TLS 1.0 and TLS 1.1 is being removed from Azure Event Hubs and Azure Service Bus. Please take action as soon as possible to guarantee no interruption to your service use when we enable TLS 1.3.
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Windows GPUs for AKS
Today we are happy to announce the public preview of Windows on AKS GPU support! This feature aims to provide customers with the options of GPU compute-intensive workloads. A few examples of where a GPU supported node would benefit workloads are video encoding, machine learning, and large simulations. Through this release we hope to increase the parity between Windows and Linux on AKS.
What is it?
GPU support has been accomplished by enabling Windows node pools in AKS to support GPU workloads. This release will support all AKS Windows SKUs releases. As for the GPU support, there will be NVIDIA’s CUDA and GRID drivers. The current architecture installs a specific GPU Driver for each VM size.
Prerequisites/High level Call outs for Enabling GPU Support
Workload and driver compatibility are essential to deploying Windows nodes with GPU support. Please verify the workload is compatible with the driver installed to the VM Size.
VM Size
Driver Type
NC series
CUDA
NV, ND
GRID
Required For Setup
Kubernetes version 1.29.0 or greater is required for set up.
Updating an existing Windows node pool to GPU isn’t supported.
For AKS node pools, we recommend a minimum size of Standard_NC6s_v3.
The NVv4 series (based on AMD GPUs) aren’t supported on AKS.
Optional Opt Out of Configuration
Customer can opt out of auto driver installation by using:
–skip-gpu-driver-install flag
In Closing
To get started you can follow a detailed guide to show step-by-step instructions here.
We would love to hear your feedback and suggestions on this new feature. Thank you for using Windows on AKS. We hope you enjoy using GPU supported nodes.
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New Azure NC H100 v5 VMs Optimized for Generative AI and HPC workloads is now Generally Available
Azure NC H100 v5 virtual machines (VMs) are an excellent platform for executing diverse AI and High-Performance Computing (HPC) workloads. These workloads demand substantial computational power, large capacity of high-performance memory, and advanced GPU acceleration. In addition to AI, the Azure NC H100 v5 VMs are particularly well-suited for extreme modelling and simulation demands in the following science and mathematics disciplines: Computational Fluid Dynamics (CFD), Molecular Dynamics, Quantum Chemistry, Weather Forecasting and Climate Modeling, and Financial Analytics.
The AI landscape is constantly expanding and evolving, moving at a dizzying pace. Generative AI technology has played a pivotal role, enabling a diverse array of use cases. These range from powering AI assistants, chatbots, and search engines to facilitating creative content generation. As Generative AI applications expand at incredible speed, the fundamental language models that empower them will expand also to include both Small Language Models (SMLs) and Large Language Models (LLMs). In addition, Artificial Narrow Intelligence (ANI) models will continue to evolve focused on more precise predictions rather than creation of novel data to continue to enhance its use cases. Their applications include tasks such as image classification, object detection, and broader natural language processing.
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Leveraging the robust capabilities and scalability of Microsoft Azure, we offer computational tools that empower organizations of all sizes, regardless of their resources. Azure NC H100 v5 VMs is yet another computational tool made generally available today that will do just that.
Here are some examples of what our customers are doing with our existing NC-series VMs and planning with the power of Azure NC H100 v5 GPU Virtual Machines at their fingertips:
Snorkel AI is a Microsoft for Startups Pegasus partner that helps enterprises move AI projects from prototype to production. A founding member of the Stanford Center for Research on Foundation Models, Snorkel AI is grounded in years of academic research and endeavors to remain at the forefront of new scholarship in data-centric AI and foundation models.
“Snorkel’s recent top tier ranking on the AlpacaEval 2.0 LLM leaderboard would not have been possible without the Microsoft for Startups Pegasus Program. Access to SoTA NVIDIA A100s via a seamless Azure experience has empowered us to drive cutting-edge research in programmatic alignment/DPO in a quick & efficient manner. For example, Azure AI Infrastructure VMs allow our research team to run quick experiments from small projects to large-scale distributed jobs reliably and with full monitoring mechanisms. Designing research projects on Azure’s next generation NC H100 v5-series powered by NVIDIA H100 NVL PCIe GPU will help our researchers deliver value for our customers and the OSS community even faster.”- Hoang Tran, Senior Research Scientist, Snorkel AI
Northflank is a self-service developer platform that automates and unifies deployment of any workload, on any cloud, at any scale.
“Northflank’s customers want to build scale-out apps on top of a sizeable number of Azure NC H100 v5 series VMs that feature the NVIDIA 100 GPUs running in a Kubernetes clusters, while keeping the self-service experience that Northflank’s developer platform provides. With NC H100 v5, Azure is the fastest way for us to help those customers ship apps on scale-out GPU infrastructure.” – Will Stewart, CEO & Co-Founder @ Northflank
Introducing the new NC H100 v5 series virtual machine, now generally available
Today, we are excited to announce that Azure NC H100 v5 Virtual Machines are now generally available. The NC H100 v5-series virtual machine (VM) is a cutting-edge addition to the Azure GPU virtual machines family. Designed for mid-range AI model training and generative inferencing, and HPC simulation workloads. This series combines the power of NVIDIA H100 NVL GPUs with 4th-generation AMD EPYC™ Genoa processors.
The NC H100 v5-series offers two classes of virtual machines, ranging from one to two NVIDIA H100 94GB NVL Tensor Core GPUs. It is more cost-effective than ever before, while still giving customers the options and flexibility they need for their workloads. We can’t wait to see what you’ll build, analyze, and discover with the new Azure NC H100 v5 platform.
For AI Inference workloads, customers will experience between 1.6x-1.9x inference performance on one GPU size depending on the types of workloads. The NC H100 v5 VMs offer significant performance improvements over the previous generations of Azure VMs in the NC series. The H100 NVL PCIe GPUs provide up to 2x the compute performance, 2x the memory bandwidth, and 17% larger HBM GPU memory capacity per VM compared to the A100 GPUs. The H100 NVL PCIe GPUs support PCIe Gen5, which provides the highest communication speeds (128GB/s bi-directional) between the host processor and the GPU. This reduces the latency and overhead of data transfer and enables faster and more scalable AI and HPC applications.
The NC H100 v5-series VMs empower your AI and HPC workloads, providing the performance and flexibility you need. Whether you’re training models, running inferencing tasks, or developing cutting-edge applications, these VMs have you covered. Explore the future of AI with the NC H100 v5-series on Azure!
Learn more
Microsoft AI
Azure AI portfolio
Azure AI infrastructure
high-performance computing (HPC) in Azure
Azure HPC optimized OS images.
Azure GPU virtual machines
NC H100 v5-series VM
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Optimize GPU compute costs: Pause your VMs to save!
We’re excited to announce that in April, Azure will be offering customers the ability to optimize GPU compute costs by enabling hibernation on Virtual Machines (VMs). With this feature, users can hibernate their VMs, pausing compute usage while preserving in-memory states. During hibernation, customers will only incur costs for storage and networking resources, significantly reducing compute expenses. When needed, VMs can be resumed effortlessly, allowing applications and processes to seamlessly pick up from their last state.
Use cases
Specifically for GPU Virtual Machines, hibernation offers compelling use cases and is an effective cost management strategy particularly in two key scenarios:
Optimizing GPU workstations: Pause GPU VMs during off-hours to conserve resources and resume seamlessly when needed, without the need to reopen applications.
Efficient Workflows for long running VMs: For long-running GPU-intensive tasks, hibernating after prewarming tasks ensures quick start-up times and efficient use of GPU resources.
Hibernation availability for GPU VMs
Hibernation will be available for preview on NVv4 and NVadsA10v5 GPU VM series, but larger sizes in the NVadsA10v5 series will not be supported during preview. Supported sizes include:
Customers will be able to leverage the hibernation feature using the Azure Portal, Azure CLI or PowerShell options on the supported virtual machines. In addition, customers can also take advantage of this feature through Azure Virtual Desktop and Citrix Desktop as a Service (DaaS) on their various offerings.
Azure Virtual Desktop
Azure Virtual Desktop provides a flexible cloud-based virtual desktop infrastructure (VDI) platform for securely delivering virtual desktops and remote apps. With GPU hibernation (preview) being supported, customers will be able to seamlessly integrate hibernation into their GPU-based virtual desktop environments, unlocking additional cost-saving opportunities. Learn more about creating personal desktop scaling plan.
Citrix Desktop as a Service (DaaS) for Azure
Microsoft and Citrix have been collaborating for decades to provide technology solutions that streamline IT operations and optimize costs. Citrix DaaS offers desktop and app virtualization solutions leveraging Azure Virtual Desktop platform capabilities. With GPU hibernation (preview) support, Citrix DaaS users can efficiently manage GPU VMs, enabling significant cost savings without compromising performance or user experience.
Getting started with hibernation
Hibernation is currently available for General Purpose Intel and AMD VM Sizes in all public regions. Both Linux and Windows Operating Systems are supported. Learn more about the hibernate feature here . For more details on how to get started with hibernation, refer to the product documentation
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Azure Event Hubs IP address changes
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Lesson Learned #481: Query Performance Analysis Tips
When working with databases, high resource usage or a query reporting a timeout could indicate that the statistics of the tables involved in the query are not up to date, that we might be missing indexes, or that there are excessive blocking as the most common elements and possible causes of performance loss. For this reason, I would like to add in this article elements that can help us determine what might be happening with our query.
CommandTimeout and Obtaining Statistics
The inception point of our exploration is the creation of a stored procedure, sp_AnalyzeQueryStatistics. This procedure is designed to take a SQL query as input, specified through the @SQLQuery parameter, and dissect it to unveil the underlying schema and tables it interacts with.
Crafting
sp_AnalyzeQueryStatistics: The core functionality of this procedure leverages the sys.dm_exec_describe_first_result_set DMV. This invaluable tool provides a window into the query’s anatomy, pinpointing the schema and tables entwined in its execution path.
CREATE PROCEDURE sp_AnalyzeQueryStatistics
@SQLQuery NVARCHAR(MAX)
AS
BEGIN
SET NOCOUNT ON;
DECLARE @TableNames TABLE (
SourceSchema NVARCHAR(128),
TableName NVARCHAR(128)
);
INSERT INTO @TableNames (SourceSchema, TableName)
SELECT DISTINCT
source_schema AS SourceSchema,
source_table AS TableName
FROM
sys.dm_exec_describe_first_result_set(@SQLQuery, NULL, 1) sp
WHERE sp.error_number IS NULL AND NOT sp.source_table is NULL
SELECT
t.TableName,
s.name AS StatisticName,
STATS_DATE(s.object_id, s.stats_id) AS LastUpdated,
sp.rows,
sp.rows_sampled,
sp.modification_counter
FROM
@TableNames AS t
INNER JOIN
sys.stats AS s ON s.object_id = OBJECT_ID(QUOTENAME(t.SourceSchema) + ‘.’ + QUOTENAME(t.TableName))
CROSS APPLY
sys.dm_db_stats_properties(s.object_id, s.stats_id) AS sp;
END;
Diving Deeper with Table Statistics:
Identification is just the precursor; the crux lies in scrutinizing the statistics of these identified tables. By employing sys.stats and sys.dm_db_stats_properties, we delve into the statistical realm of each table, gleaning insights into data distribution, sampling rates, and the freshness of the statistics.
Informed Decision-Making:
This statistical audit empowers us with the knowledge to make data-driven decisions. Should the rows_sample significantly deviate from the total rows, or the statistics’ last update be a for example 2 months, it’s a clarion call for action—be it updating the statistics or reevaluating index strategies.
C# Implementation:
using System;
using System.Diagnostics;
using System.Data;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Data.SqlClient;
namespace HighCPU
{
class Program
{
private static string ConnectionString = “Server=tcp:myservername.database.windows.net,1433;User Id=MyUser;Password=MyPassword;Initial Catalog=MyDb;Persist Security Info=False;MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=False;Connection Timeout=30;Pooling=true;Max Pool size=100;Min Pool Size=1;ConnectRetryCount=3;ConnectRetryInterval=10;Application Name=ConnTest”;
private static string Query = “SELECT * FROM [MSxyzTest].[_x_y_z_MS_HighDATAIOBlocks] ORDER BY NEWID() DESC”;
static async Task Main(string[] args)
{
SqlConnection connection = await EstablishConnectionWithRetriesAsync(3, 2000);
if (connection == null)
{
Console.WriteLine(“Failed to establish a database connection.”);
return;
}
await ExecuteQueryWithRetriesAsync(connection, 5, 1000, 100000,2,true);
connection.Close();
}
private static async Task<SqlConnection> EstablishConnectionWithRetriesAsync(int maxRetries, int initialDelay)
{
SqlConnection connection = null;
int retryDelay = initialDelay;
for (int attempt = 1; attempt <= maxRetries; attempt++)
{
try
{
connection = new SqlConnection(ConnectionString);
await connection.OpenAsync();
Console.WriteLine(“Connection established successfully.”);
return connection;
}
catch (SqlException ex)
{
Console.WriteLine($”Failed to establish connection: {ex.Message}. Attempt {attempt} of {maxRetries}.”);
if (attempt == maxRetries)
{
Console.WriteLine(“Maximum number of connection attempts reached. The application will terminate.”);
return null;
}
Console.WriteLine($”Waiting {retryDelay / 1000} seconds before the next connection attempt…”);
await Task.Delay(retryDelay);
retryDelay *= 2;
}
}
return null;
}
private static async Task ExecuteQueryWithRetriesAsync(SqlConnection connection, int maxRetries, int initialDelay, int CancellationTokenTimeout, int CommandSQLTimeout, Boolean bReviewQuery = false)
{
int retryDelay = initialDelay;
for (int attempt = 1; attempt <= maxRetries; attempt++)
{
using (var cts = new CancellationTokenSource())
{
cts.CancelAfter(CancellationTokenTimeout*attempt);
try
{
using (SqlCommand command = new SqlCommand(Query, connection))
{
command.CommandTimeout = CommandSQLTimeout*attempt;
Stopwatch stopwatch = Stopwatch.StartNew();
await command.ExecuteNonQueryAsync(cts.Token);
stopwatch.Stop();
Console.WriteLine($”Query executed successfully in {stopwatch.ElapsedMilliseconds} milliseconds.”);
return;
}
}
catch (TaskCanceledException)
{
Console.WriteLine($”Query execution was canceled by the CancellationToken. Attempt {attempt} of {maxRetries}.”);
}
catch (SqlException ex) when (ex.Number == -2)
{
Console.WriteLine($”Query execution was canceled due to CommandTimeout. Attempt {attempt} of {maxRetries}.”);
if (bReviewQuery)
{ await ReviewQuery(); }
}
catch (SqlException ex) when (ex.Number == 207 || ex.Number == 208 || ex.Number == 2627)
{
Console.WriteLine($”SQL error preventing retries: {ex.Message}”);
return;
}
catch (Exception ex)
{
Console.WriteLine($”An exception occurred: {ex.Message}”);
return;
}
Console.WriteLine($”Waiting {retryDelay / 1000} seconds before the next query attempt…”);
await Task.Delay(retryDelay);
retryDelay *= 2;
}
}
}
private static async Task ReviewQuery()
{
SqlConnection connection = await EstablishConnectionWithRetriesAsync(3, 2000);
if (connection == null)
{
Console.WriteLine(“Review Query – Failed to establish a database connection.”);
return;
}
await ReviewQueryWithRetriesAsync(connection, 5, 1000, 10000, 15);
connection.Close();
}
private static async Task ReviewQueryWithRetriesAsync(SqlConnection connection, int maxRetries, int initialDelay, int CancellationTokenTimeout, int CommandSQLTimeout, Boolean bReviewQuery = false)
{
int retryDelay = initialDelay;
for (int attempt = 1; attempt <= maxRetries; attempt++)
{
using (var cts = new CancellationTokenSource())
{
cts.CancelAfter(CancellationTokenTimeout * attempt);
try
{
using (SqlCommand command = new SqlCommand(“sp_AnalyzeQueryStatistics”, connection))
{
command.CommandTimeout = CommandSQLTimeout * attempt;
command.CommandType = CommandType.StoredProcedure;
Stopwatch stopwatch = Stopwatch.StartNew();
command.Parameters.Add(new SqlParameter(“@SQLQuery”, SqlDbType.NVarChar, -1));
command.Parameters[“@SQLQuery”].Value = Query;
using (SqlDataReader reader = await command.ExecuteReaderAsync())
{
while (await reader.ReadAsync())
{
Console.WriteLine(“TableName: ” + reader[“TableName”].ToString());
Console.WriteLine(“StatisticName: ” + reader[“StatisticName”].ToString());
Console.WriteLine(“LastUpdated: ” + reader[“LastUpdated”].ToString());
Console.WriteLine(“Rows: ” + reader[“Rows”].ToString());
Console.WriteLine(“RowsSampled: ” + reader[“Rows_Sampled”].ToString());
Console.WriteLine(“ModificationCounter: ” + reader[“Modification_Counter”].ToString());
Console.WriteLine(“———————————–“);
}
}
stopwatch.Stop();
Console.WriteLine($”Query executed successfully in {stopwatch.ElapsedMilliseconds} milliseconds.”);
return;
}
}
catch (TaskCanceledException)
{
Console.WriteLine($”Query execution was canceled by the CancellationToken. Attempt {attempt} of {maxRetries}.”);
}
catch (SqlException ex) when (ex.Number == -2)
{
Console.WriteLine($”Query execution was canceled due to CommandTimeout. Attempt {attempt} of {maxRetries}.”);
if (bReviewQuery)
{ }
}
catch (SqlException ex) when (ex.Number == 207 || ex.Number == 208 || ex.Number == 2627)
{
Console.WriteLine($”SQL error preventing retries: {ex.Message}”);
return;
}
catch (Exception ex)
{
Console.WriteLine($”An exception occurred: {ex.Message}”);
return;
}
Console.WriteLine($”Waiting {retryDelay / 1000} seconds before the next query attempt…”);
await Task.Delay(retryDelay);
retryDelay *= 2;
}
}
}
}
}
The Bigger Picture
This initial foray into CommandTimeout and statistics is merely the tip of the iceberg. It sets the stage for a broader discourse on query performance, where each element—from indexes to execution plans—plays a crucial role. Our series aims to arm you with the knowledge and tools to not just react to performance issues but to anticipate and mitigate them proactively, ensuring your databases are not just operational but optimized for efficiency and resilience.
Stay tuned as we continue to peel back the layers of SQL performance tuning, offering insights, strategies, and practical advice to elevate your database management game.
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Lesson Learned #480:Navigating Query Cancellations with Azure SQL Database
In a recent support case, our customer faced an intriguing issue where a query execution in a .NET application was unexpectedly canceled during asynchronous operations against Azure SQL Database. This experience highlighted the nuances of handling query cancellations, which could stem from either a CommandTimeout or a CancellationToken. Through this concise article, I aim to elucidate these two cancellation scenarios, alongside strategies for managing SQL errors, ensuring connection resilience through retries, and measuring query execution time. The accompanying code serves as a practical guide, demonstrating how to adjust timeouts dynamically in an attempt to successfully complete a query, should it face cancellation due to timeout constraints. This narrative not only shares a real-world scenario but also provides actionable insights for developers looking to fortify their .NET applications interacting with Azure SQL Database.
Introduction:
Understanding and managing query cancellations in asynchronous database operations are critical for maintaining the performance and reliability of .NET applications. This article stems from a real-world support scenario where a customer encountered unexpected query cancellations while interacting with Azure SQL Database. The issue brings to light the importance of distinguishing between cancellations caused by CommandTimeout and those triggered by CancellationToken, each requiring a distinct approach to error handling and application logic.
Cancellations: CommandTimeout vs. CancellationToken:
In asynchronous database operations, two primary types of cancellations can occur: one due to the command’s execution time exceeding the CommandTimeout limit, and the other due to a CancellationToken being invoked. Understanding the difference is crucial, as each scenario demands specific error handling strategies. A CommandTimeout cancellation typically indicates that the query is taking longer than expected, possibly due to database performance issues or query complexity. On the other hand, a cancellation triggered by a CancellationToken may be due to application logic deciding to abort the operation, often in response to user actions or to maintain application responsiveness.
Error Handling and Connection Resilience:
Errors during query execution, such as syntax errors or references to non-existent database objects, necessitate immediate attention and are not suitable for retry logic. The application must distinguish these errors from transient faults, where retry logic with exponential backoff can be beneficial. Moreover, connection resilience is paramount, and implementing a retry mechanism for establishing database connections ensures that transient network issues do not disrupt application functionality.
Measuring Query Execution Time:
Gauging the execution time of queries is instrumental in identifying performance bottlenecks and optimizing database interactions. The example code demonstrates using a Stopwatch to measure and log the duration of query execution, providing valuable insights for performance tuning.
Adaptive Timeout Strategy:
The code snippet illustrates an adaptive approach to handling query cancellations due to timeouts. By dynamically adjusting the CommandTimeout and CancellationToken timeout values upon encountering a timeout-related cancellation, the application attempts to afford the query additional time to complete in subsequent retries, where feasible.
Conclusion:
The intersection of CommandTimeout, CancellationToken, error handling, and connection resilience forms the crux of robust database interaction logic in .NET applications. This article, inspired by a real-world support case, sheds light on these critical aspects, offering a pragmatic code example that developers can adapt to enhance the reliability and performance of their applications when working with Azure SQL Database. The nuanced understanding and strategic handling of query cancellations, as discussed, are pivotal in crafting responsive and resilient .NET database applications.
Example C# code:
using System;
using System.Diagnostics;
using System.Data;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Data.SqlClient;
namespace CancellationToken
{
class Program
{
private static string ConnectionString = “Server=tcp:servername.database.windows.net,1433;User Id=MyUser;Password=MyPassword;Initial Catalog=MyDB;Persist Security Info=False;MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=False;Connection Timeout=30;Pooling=true;Max Pool size=100;Min Pool Size=1;ConnectRetryCount=3;ConnectRetryInterval=10;Application Name=ConnTest”;
private static string Query = “waitfor delay ’00:00:20′”;
static async Task Main(string[] args)
{
SqlConnection connection = await EstablishConnectionWithRetriesAsync(3, 2000);
if (connection == null)
{
Console.WriteLine(“Failed to establish a database connection.”);
return;
}
await ExecuteQueryWithRetriesAsync(connection, 5, 1000, 30000,15);
connection.Close();
}
private static async Task<SqlConnection> EstablishConnectionWithRetriesAsync(int maxRetries, int initialDelay)
{
SqlConnection connection = null;
int retryDelay = initialDelay;
for (int attempt = 1; attempt <= maxRetries; attempt++)
{
try
{
connection = new SqlConnection(ConnectionString);
await connection.OpenAsync();
Console.WriteLine(“Connection established successfully.”);
return connection;
}
catch (SqlException ex)
{
Console.WriteLine($”Failed to establish connection: {ex.Message}. Attempt {attempt} of {maxRetries}.”);
if (attempt == maxRetries)
{
Console.WriteLine(“Maximum number of connection attempts reached. The application will terminate.”);
return null;
}
Console.WriteLine($”Waiting {retryDelay / 1000} seconds before the next connection attempt…”);
await Task.Delay(retryDelay);
retryDelay *= 2;
}
}
return null;
}
private static async Task ExecuteQueryWithRetriesAsync(SqlConnection connection, int maxRetries, int initialDelay, int CancellationTokenTimeout, int CommandSQLTimeout)
{
int retryDelay = initialDelay;
for (int attempt = 1; attempt <= maxRetries; attempt++)
{
using (var cts = new CancellationTokenSource())
{
cts.CancelAfter(CancellationTokenTimeout*attempt); // Set CancellationToken timeout
try
{
using (SqlCommand command = new SqlCommand(Query, connection))
{
command.CommandTimeout = CommandSQLTimeout*attempt;
Stopwatch stopwatch = Stopwatch.StartNew();
await command.ExecuteNonQueryAsync(cts.Token);
stopwatch.Stop();
Console.WriteLine($”Query executed successfully in {stopwatch.ElapsedMilliseconds} milliseconds.”);
return;
}
}
catch (TaskCanceledException)
{
Console.WriteLine($”Query execution was canceled by the CancellationToken. Attempt {attempt} of {maxRetries}.”);
}
catch (SqlException ex) when (ex.Number == -2)
{
Console.WriteLine($”Query execution was canceled due to CommandTimeout. Attempt {attempt} of {maxRetries}.”);
}
catch (SqlException ex) when (ex.Number == 207 || ex.Number == 208 || ex.Number == 2627)
{
Console.WriteLine($”SQL error preventing retries: {ex.Message}”);
return;
}
catch (Exception ex)
{
Console.WriteLine($”An exception occurred: {ex.Message}”);
return;
}
Console.WriteLine($”Waiting {retryDelay / 1000} seconds before the next query attempt…”);
await Task.Delay(retryDelay);
retryDelay *= 2;
}
}
}
}
}
Tests and Results:
In the course of addressing the query cancellation issue, we conducted a series of tests to understand the behavior under different scenarios and the corresponding exceptions thrown by the .NET application. Here are the findings:
Cancellation Prior to Query Execution:
Scenario: The cancellation occurs before the query gets a chance to execute, potentially due to reasons such as application overload or a preemptive cancellation policy.
Exception Thrown: TaskCanceledException
Internal Error Message: “A task was canceled.”
Explanation: This exception is thrown when the operation is canceled through a CancellationToken, indicating that the asynchronous task was canceled before it could begin executing the SQL command. It reflects the application’s decision to abort the operation, often to maintain responsiveness or manage workload.
Cancellation Due to CommandTimeout:
Scenario: The cancellation is triggered by reaching the CommandTimeout of SqlCommand, indicating that the query’s execution duration exceeded the specified timeout limit.
Exception Thrown: SqlException with an error number of -2
Internal Error Message: “Execution Timeout Expired. The timeout period elapsed prior to completion of the operation or the server is not responding.”
Explanation: This exception occurs when the query execution time surpasses the CommandTimeout value, prompting SQL Server to halt the operation. It suggests that the query may be too complex, the server is under heavy load, or there are network latency issues.
Cancellation Before CommandTimeout is Reached:
Scenario: The cancellation happens before the CommandTimeout duration is met, not due to the CommandTimeout setting but possibly due to an explicit cancellation request or an unforeseen severe error during execution.
Exception Thrown: General Exception (or a more specific exception depending on the context)
Internal Error Message: “A severe error occurred on the current command. The results, if any, should be discarded.rnOperation cancelled by user.”
Explanation: This exception indicates an abrupt termination of the command, potentially due to an external cancellation signal or a critical error that necessitates aborting the command. Unlike the TaskCanceledException, this may not always originate from a CancellationToken and can indicate more severe issues with the command or the connection.
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Support for Iterated and Salted Hash Password Verifiers in SQL Server 2022 CU12
Introduction
We all know that as security threats evolve, we must update our defenses to mitigate newer threats. Over the last few months, some customers have asked us to strengthen the way we secure passwords in SQL Server. The most often-cited reference by customers is to comply with NIST SP 800-63b.
Currently supported versions of SQL Server and Azure SQL DB use a SHA-512 hash with a 32-bit random and unique salt. It is statistically infeasible for an attacker to deduce the password knowing just the hash and the salt. It is considerably easier for an attacker to hunt for insecure storage of database connection strings that contain database credentials than it is to break the password verifier (also called a password authenticator) used by SQL Server and Azure SQL DB. But that’s a discussion for another day and is the main reason we highly recommend using Entra ID authentication rather than using uid/pwd-based connections because Entra ID authentication manages credentials and supports access policies.
Considering NIST SP 800-63b, we have added an iterator to the password verifier algorithm. Rather than just storing the SHA-512 hash of the password:
H = SHA512(salt, password)
In this update, we create an iterated hash:
H0 = SHA512(salt, 0, password);
for n=1 to 100,000
Hn = SHA512(salt, Hn-1, password)
NIST SP 800-63b requires a minimum 10,000 iterations, but we chose an iteration count of 100,000 because the Microsoft SDL minimum is 100,000. The iteration means that an attacker attempting a brute-force attack using the password verifier is slowed down by x100,000. We want to stress that there are no known weaknesses in the current SQL Server authenticator implementation, we are adding this update at the request of finance customers to help achieve their compliance goals.
Specifics
Let’s look at some details.
This feature is off by default, and it is only available in SQL Server 2022 CU12 and later. There are no plans to back-port this to older versions of the database engine.
Next, and this is critically important. This changes the on-disk format for the password verifier. This has serious repercussions because we cannot go back to the older version unless you reset users’ passwords or perform a full restore. This update only changes a password verifier to the new algorithm on password change. The database engine cannot update the password verifier automatically because the engine does not know the password.
So how do you enable this if you want to test it out?
First, make sure you’re using a non-production database. The code is production quality, but we want to limit its use until we get more coverage.
Second, make a backup of the database and test that it restores. Remember, there is no going back to the old authenticator other than a password change or a full restore. Reread this point one more time.
Third, using an account that is a sysadmin, you can enable this functionality using the following:
DBCC TRACEON (4671, -1)
DBCC TRACEON (4671)
You can check for this trace flag with:
DBCC TRACESTATUS(4671)
Below is a sample flow testing the functionality.
CREATE LOGIN JimBob WITH PASSWORD = ‘<insert strong pwd>’
DBCC TRACEON (4671,-1)
DBCC TRACEON (4671)
DBCC TRACESTATUS(4671)
CREATE LOGIN MaryJane WITH PASSWORD = ‘<insert strong pwd>’
GO
SELECT name, password_hash
FROM sys.sql_logins
WHERE name NOT LIKE ‘##MS%’
You will see output like this:
sa 0x020097E55B1EC90563A023D6785F4ADC–snip–33A34CB391510CE532B
JimBob 0x0200B378592D3BCFF9B2CD667380D66D–snip–78619048510C10C342E
MaryJane 0x0300D1FB26002DEE6615D02BD9F9F425–snip–0A9F559F3D16EF61A84
Notice the first byte of the hash for JimBob and sa is 0x02, this is the algorithm version number. If you change the password for a login after enabling the new algorithm, the version number changes to 0x03 and this is what we see for MaryJane. The use of a version number at the start of the hash output is a fantastic example of cryptographic agility. Always Encrypted in SQL Server and Azure SQL DB also supports cryptographic agility, as does Microsoft Office. Crypto-agility is a security best practice that allows applications to adopt new cryptographic algorithms over time without breaking existing applications. You can learn more about the topic here. This is especially important as we face a world of post-quantum cryptography.
The data size on disk is the same for v2 and v3 password verifiers because the salt and resulting hash are the same size.
Now, if we update JimBob’s password:
ALTER LOGIN JimBob WITH PASSWORD = ‘<insert strong pwd>’
We will see his password authenticator is something like this:
JimBob 0x0300A269192D2BCEF9A20016729FDEAD–snip–0AFFF124197B1065718
The new v3 algorithm is now applied to his account.
If you want to go back to using the old v2 algorithm, then you can turn the flag off:
DBCC TRACEOFF (4671,-1)
DBCC TRACEOFF (4671)
DBCC TRACESTATUS(4671)
However, this does not change any password authenticators. JimBob and MaryJane can still login and the SQL engine will use the v3 algorithm. However, if either of our two users changes their passwords, they will revert to v2 because the feature is turned off.
Miscellany
If you want to see what a password hash looks like, you can use PWDENCRYPT and you can compare a given hash with the hash of an existing password with PWDCOMPARE. The documentation indicates that HASHBYTES should be used rather than PWDENCRYPT, but this is not correct as HASHBYTES is a general-purpose hash function and not password-specific.
Finally, as noted, to change a password either to roll forward to v3 or roll back to v2, you can use ALTER
LOGIN xxxx WITH PASSWORD = ‘yyyy’, where xxxx is the login name and yyyy is the password, and you can add MUST_CHANGE if needed.
One last and crucial point, if you undo the update then you will have to change all passwords that use the v3 algorithm as the engine before this update cannot deal with the v3 data format.
Summary
Listening to our customers, we are excited to add this new security feature to SQL Server 2022 CU12 and later. If you want to test this, please understand the serious implications of making this change; the updated algorithm changes the on-disk format and there is no going back other than a full database restore or resetting the password for affected logins after turning off the traceflag.
We’d love to hear your feedback.
A big thanks to Steven Gott for all his hard making this happen!
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Maximizing your role as a Viva Gint Administrator
Are you a Viva Glint administrator looking for information on how to build your survey program? Are you looking for People Science best practices or to learn from fellow administrators such as yourself? As an administrator, you have access to a wealth of resources to help you take full advantage of everything Viva Glint has to offer.
Check out this page for more information on:
Deploying Viva Glint
Documentation – Find technical articles and guidance to help you through your Viva Glint journey
Badging – Complete our recommended learning paths and modules to earn a digital badge and showcase your achievements
Ask the Experts sessions – Join our monthly live sessions to learn best practices and get your questions answered about the product
Learning with us
Events – Attend our Viva Glint events that cover a range of topics sourced from our customer feedback
Blogs – Stay up-to-date with thought leadership, newsletters, and program launches
Connecting with us
Newsletter – Register for this recurring email that highlights new announcements, features, and Viva Glint updates
Product council – Be a part of a community that provides our team with feedback on how we can improve our products and services
Connecting with others
Learning Circles – Participate in these diverse groups to share knowledge, experiences, and challenges with fellow Viva Glint customers
Cohorts – Join these groups to be connected to like-minded Viva Glint customers and hear topic-based best practices from our Viva Glint team (Coming Soon)
Community – Engage with the Viva Community to ask questions, share ideas, and learn best practices through this online forum
Be sure to leverage these resources to make the most of your role as an administrator and empower your organization to achieve more with Viva Glint!
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Get Verifiable Credentials
A new Account Verification will be required to access Partner Center programs. All participants in the Windows Hardware Program on Partner Center will be required to complete Verifiable Credentials or they will be blocked from accessing the Hardware Program. Verifiable Credentials (VCs) is an open standard for digital credentials.
The Primary Contact for your account will be the initial individual required to obtain Verifiable Credentials. We ask that you take action now to confirm the Primary Contact information on your account in Partner Center is accurate and current.
Please note the information you provide to obtain Verifiable Credential will be verified by Au10tix Ltd, an industry leader engaged to support this effort. You will not need to disclose the information with Microsoft.
To complete your Verifiable Credential, you will need to install the Microsoft Authenticator app on your mobile device and follow the instructions. Microsoft Authenticator will store your Verifiable Credential. You will need a current and valid government ID in the physical form. The name on the government ID must match the Partner Center Primary Contact. For security purposes there are fixed time limits in the steps to obtain Verifiable Credentials. You may need thirty (30) minutes to complete the steps.
When you receive the Verifiable Credentials request from Partner Center, we urge you to complete the steps as soon as possible to avoid losing access to the Hardware Program. If you have any questions or issues, please reach out to our support team. For details on how to contact support, see Get support for Partner Center dashboard issues – Windows drivers | Microsoft Learn.
Thank you for your cooperation.
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Lesson Learned #479:Loading Data from Parquet to Azure SQL Database using C# and SqlBulkCopy
In the realm of big data and cloud computing, efficiently managing and transferring data between different platforms and formats is paramount. Azure SQL Database, a fully managed relational database service by Microsoft, offers robust capabilities for handling large volumes of data. However, when it comes to importing data from Parquet files, a popular columnar storage format, Azure SQL Database’s native BULK INSERT command does not directly support this format. This article presents a practical solution using a C# console application to bridge this gap, leveraging the Microsoft.Data.SqlClient.SqlBulkCopy class for high-performance bulk data loading.
Understanding Parquet and Its Significance
Parquet is an open-source, columnar storage file format optimized for use with big data processing frameworks. Its design is particularly beneficial for complex nested data structures and efficient data compression and encoding schemes, making it a favored choice for data warehousing and analytical processing tasks.
The Challenge with Direct Data Loading
Azure SQL Database’s BULK INSERT command is a powerful tool for importing large volumes of data quickly.
A C# Solution: Bridging the Gap
To overcome this limitation, we can develop a C# console application that reads Parquet files, processes the data, and utilizes SqlBulkCopy for efficient data transfer to Azure SQL Database. This approach offers flexibility and control over the data loading process, making it suitable for a wide range of data integration scenarios.
Step 1: Setting Up the Environment
Before diving into the code, ensure your development environment is set up with the following:
.NET Core or .NET Framework compatible with Microsoft.Data.SqlClient.
Microsoft.Data.SqlClient package installed in your project.
Parquet.Net package to facilitate Parquet file reading.
Step 2: Create the target table in Azure SQL Database.
create table parquet (id int, city varchar(30))
Step 3: Create Parquet File in C#
The following C# code allows to Parquet file using two columns ID and city.
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.IO;
using Parquet;
using Parquet.Data;
using Parquet.Schema;
namespace ManageParquet
{
class ClsWriteParquetFile
{
public async Task CreateFile(string filePath)
{
var schema = new ParquetSchema( new DataField<int>(“id”), new DataField<string>(“city”));
var idColumn = new DataColumn( schema.DataFields[0], new int[] { 1, 2 });
var cityColumn = new DataColumn( schema.DataFields[1], new string[] { “L”, “D” });
using (Stream fileStream = System.IO.File.OpenWrite(filePath))
{
using (ParquetWriter parquetWriter = await ParquetWriter.CreateAsync(schema, fileStream))
{
parquetWriter.CompressionMethod = CompressionMethod.Gzip;
parquetWriter.CompressionLevel = System.IO.Compression.CompressionLevel.Optimal;
// create a new row group in the file
using (ParquetRowGroupWriter groupWriter = parquetWriter.CreateRowGroup())
{
groupWriter.WriteColumnAsync(idColumn);
groupWriter.WriteColumnAsync(cityColumn);
}
}
}
}
}
}
Step 4: Reading Parquet Files in C#
The first part of the solution involves reading the Parquet file. We leverage the ParquetReader class to access the data stored in the Parquet format.
In the following source code you could find two methods. The first method only read the parquet file and the second one reads and saves the data in a table of Azure SQL Database.
using Parquet;
using Parquet.Data;
using Parquet.Schema;
using System;
using System.Data;
using System.IO;
using System.Threading.Tasks;
using Microsoft.Data.SqlClient;
namespace ManageParquet
{
class ClsReadParquetFile
{
public async Task ReadFile(string filePath)
{
ParquetReader parquetReader = await ParquetReader.CreateAsync(filePath);//, options);
ParquetSchema schema = parquetReader.Schema;
Console.WriteLine(“Schema Parquet file:”);
foreach (var field in schema.Fields)
{
Console.WriteLine($”{field.Name}”);
}
for (int i = 0; i < parquetReader.RowGroupCount; i++)
{
using (ParquetRowGroupReader groupReader = parquetReader.OpenRowGroupReader(i))
{
foreach (DataField field in schema.GetDataFields())
{
Parquet.Data.DataColumn column = await groupReader.ReadColumnAsync(field);
Console.WriteLine($”Column Data of ‘{field.Name}’:”);
foreach (var value in column.Data)
{
Console.WriteLine(value);
}
}
}
}
}
public async Task ReadFileLoadSQL(string filePath)
{
ParquetReader parquetReader = await ParquetReader.CreateAsync(filePath);//, options);
//ParquetSchema schema = parquetReader.Schema;
var schema = new ParquetSchema(new DataField<int>(“id”), new DataField<string>(“city”));
DataTable dataTable = new DataTable();
dataTable.Columns.Add(“id”, typeof(int));
dataTable.Columns.Add(“city”, typeof(string));
for (int i = 0; i < parquetReader.RowGroupCount; i++)
{
using (ParquetRowGroupReader groupReader = parquetReader.OpenRowGroupReader(i))
{
var idColumn = new Parquet.Data.DataColumn(schema.DataFields[0], new int[] { 1, 2 });
var cityColumn = new Parquet.Data.DataColumn(schema.DataFields[1], new string[] { “L”, “D” });
for (int j = 0; j < idColumn.Data.Length; j++)
{
var row = dataTable.NewRow();
row[“id”] = idColumn.Data.GetValue(j);
row[“city”] = cityColumn.Data.GetValue(j);
dataTable.Rows.Add(row);
}
}
}
using (SqlConnection dbConnection = new SqlConnection(“Server=tcp:servername.database.windows.net,1433;User Id=MyUser;Password=MyPassword!;Initial Catalog=MyDb;Persist Security Info=False;MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=False;Connection Timeout=30;Pooling=true;Max Pool size=100;Min Pool Size=1;ConnectRetryCount=3;ConnectRetryInterval=10;Application Name=ConnTest”))
{
await dbConnection.OpenAsync();
using (SqlBulkCopy s = new SqlBulkCopy(dbConnection))
{
s.DestinationTableName = “Parquet”;
foreach (System.Data.DataColumn column in dataTable.Columns)
{
s.ColumnMappings.Add(column.ColumnName, column.ColumnName);
}
await s.WriteToServerAsync(dataTable);
}
}
}
}
}
Conclusion
This C# console application demonstrates an effective workaround for loading data from Parquet files into Azure SQL Database, circumventing the limitations of the BULK INSERT command. By leveraging the .NET ecosystem and the powerful SqlBulkCopy class, developers can facilitate seamless data integration processes, enhancing the interoperability between different data storage formats and Azure SQL Database.
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Announcing the 3-year retirement of Windows Server 2022 on Azure Kubernetes Service
Windows Server 2025 and the Windows Server Annual Channel, offer a comprehensive array of enhanced features, heightened security measures, and improved overall performance, and with image portability customers can now run Windows Server 2022 based containers on these new versions. To maximize the experience for customers, not only will Windows Server 2025/Annual Channel provide the most efficient versions of Windows Server yet, but also streamline the upgrade process. In pursuit of an enhanced user experience and an unwavering commitment to safety and reliability, we will be retiring Windows Server 2022 on Azure Kubernetes Service (AKS) in 3-years time.
What does this mean for me?
Windows Server 2022 will be retiring on AKS in March 2027. You should prepare to upgrade to a supported Windows Server version before March 2027.
How can I upgrade my Windows nodepools?
You can follow the Windows Server OS migration process outlined in the AKS documentation to upgrade to Windows Server 2025 or Annual Channel when they’re released on AKS. Portability is key feature available for Windows Server 2025/Annual Channel and onwards, the host and container image no longer need to be upgraded in tandem, older images can now work on newer hosts (ex. running Windows Server 2022 image on Windows Server 2025 host).
Kubernetes version 1.34 will be the final version where Windows Server 2022 is supported on AKS. When Kubernetes version 1.34 is at the end of life on AKS, Windows Server 2022 will no longer be supported. Upgrades to Kubernetes 1.35 on AKS will be blocked if there are any remaining Windows Server 2022 node pools in the cluster.
Windows Server 2025 on AKS and will offer numerous advantages and enhancements. At a high level, Windows Server 2025 introduces enhanced performance and reliability and improved networking support, including density improvements. Learn more about Windows Server 2025 from our recent announcements at Containers – Microsoft Community Hub.
Our commitment centers on customer satisfaction and success, guiding our efforts to provide ample resources and time for upgrading to our premier operating system. Our aim is to simplify the upgrade process, enabling customers to fully leverage the benefits of Windows Server 2025/Annual Channel.
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Upcoming preview of Microsoft Office LTSC 2024
Microsoft 365 offers the cloud-backed apps, security, and storage that customers worldwide rely on to achieve more in a connected world – and lays a foundation for leveraging generative AI to go even further. However, we know that some customers have niche yet important scenarios that require a truly long-term servicing channel: regulated devices that cannot accept feature updates for years at a time, process control devices on the manufacturing floor that are not connected to the internet, and specialty systems like medical testing equipment that run embedded apps that must stay locked in time. For these special cases, Microsoft continues to offer and support the Office Long-Term Servicing Channel (LTSC). Today we are pleased to announce that the commercial preview of the next Office LTSC release – Office LTSC 2024 – will begin next month, with general availability to follow later this year.
About this release
Like earlier perpetual versions of Office, Office LTSC 2024 will include only a subset of the value found in Microsoft 365 Apps, building on the features included in past releases. New features for Office LTSC 2024 include: new meeting creation options and search enhancements in Outlook, dozens of new Excel features and functions including Dynamic Charts and Arrays; and improved performance, security, and accessibility. Office LTSC 2024 will not ship with Microsoft Publisher, which is being retired, or with the Microsoft Teams app, which is available to download separately.
While Office LTSC 2024 offers many significant improvements over the previous Office LTSC release, as an on-premises product it will not offer the cloud-based capabilities of Microsoft 365 Apps, like real-time collaboration; AI-driven automation in Word, Excel, and PowerPoint; or cloud-backed security and compliance capabilities that give added confidence in a hybrid world. And with device-based licensing and extended offline access, Microsoft 365 offers deployment options for scenarios like computer labs and submarines that require something other than a user-based, always-online solution. Microsoft 365 (or Office 365) is also required to subscribe to Microsoft Copilot for Microsoft 365; as a disconnected product, Office LTSC does not qualify.
As with previous releases, Office LTSC 2024 will still be a device-based “perpetual” license, supported for five years under the Fixed Lifecycle Policy, in parallel with Windows 11 LTSC, which will also launch later this year. And because we know that many customers deploy Office LTSC on only a subset of their devices, we will continue to support the deployment of both Office LTSC and Microsoft 365 Apps to different machines within the same organization using a common set of deployment tools.
Office LTSC is a specialty product that Microsoft has committed to maintaining for use in exceptional circumstances, and the 2024 release provides substantial new feature value for those scenarios. To support continued innovation in this niche space, Microsoft will increase the price of Office LTSC Professional Plus, Office LTSC Standard, Office LTSC Embedded, and the individual apps by up to 10% at the time of general availability. And, because we are asked at the time of release if there will be another one, I can confirm our commitment to another release in the future.
We will provide additional information about the next version of on-premises Visio and Project in the coming months.
Office 2024 for consumers
We are also planning to release a new version of on-premises Office for consumers later this year: Office 2024. Office 2024 will also be supported for five years with the traditional “one-time purchase” model. We do not plan to change the price for these products at the time of the release. We will announce more details about new features included in Office 2024 closer to general availability.
Embracing the future of work
The future of work in an AI-powered world is on the cloud. In most customer scenarios, Microsoft 365 offers the most secure, productive, and cost-effective solution, and positions customers to unlock the transformative power of AI with Microsoft Copilot. Especially as we approach the end of support for Office 2016 and Office 2019 in October 2025, we encourage customers still using these solutions to transition to a cloud subscription that suits their needs as a small business or a larger organization. And for scenarios where that is not possible – where a disconnected, locked-in-time solution is required – this new release reflects our commitment to supporting that need.
FAQ
Q: Will the next version of Office have a Mac version?
A: Yes, the next version of Office will have both Windows and Mac versions for both commercial and consumer.
Q: Will the next version of Office be supported on Windows 10?
A: Yes, Office LTSC 2024 will be supported on Windows 10 and Windows 10 LTSC devices (with the exception of Arm devices, which will require Windows 11).
Q: Will the next version support both 32- and 64-bit?
A: Yes, the next version of Office will ship both 32-and 64-bit versions.
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Cumulative Update #12 for SQL Server 2022 RTM
The 12th cumulative update release for SQL Server 2022 RTM is now available for download at the Microsoft Downloads site. Please note that registration is no longer required to download Cumulative updates.
To learn more about the release or servicing model, please visit:
CU12 KB Article: https://learn.microsoft.com/troubleshoot/sql/releases/sqlserver-2022/cumulativeupdate12
Starting with SQL Server 2017, we adopted a new modern servicing model. Please refer to our blog for more details on Modern Servicing Model for SQL Server.
Microsoft® SQL Server® 2022 RTM Latest Cumulative Update: https://www.microsoft.com/download/details.aspx?id=105013
Update Center for Microsoft SQL Server: https://learn.microsoft.com/en-us/troubleshoot/sql/releases/download-and-install-latest-updates
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Known issue: iOS/iPadOS ADE users incorrectly redirected to Intune Company Portal website
We recently identified an issue where users with iOS/iPadOS devices enrolling with Automated Device Enrollment (ADE) are unable to sign in to the Intune Company Portal app for iOS/iPadOS. Instead, they’re incorrectly prompted to navigate to the Intune Company Portal website to enroll their device, and they are unable to complete enrollment. This issue occurs for newly enrolled ADE users that are targeted with an “Account driven user enrollment” or “Web based device enrollment” enrollment profile and just in time (JIT) registration has not been set up.
While we’re actively working on resolving this issue, we always recommend organizations using iOS/iPadOS ADE to have JIT registration set up for their devices for the best and most secure user experience. For more information review: Set up just in time registration.
Stay tuned to this blog for updates on the fix! If you have any questions, leave a comment below or reach out to us on X @IntuneSuppTeam.
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