AWS and Google both offer a managed instance of Airflow, whereas whenever Azure tries it fails miserably.

The ADF managed airflow went and gone so fast that now we have fabric Airflow.

That too with a big limitation.

"Currently, private networks and virtual networks aren't supported with Fabric Apache Airflow jobs."

In my previous job we deployed Airflow using AKS but it is an effort to maintain, in my new job I was trying to see the options of a managed Airflow but even after 2-3 years there is no good managed Airflow offering by microsoft whereas AWS and GCP have a proper working managed Airflow instance.
Why can't Microsoft provide an offering of an open source tool in its purest essence instead of handicapping it to use Microsoft fabric connectors to achieve basic functionality of that tool.

Ref : https://learn.microsoft.com/en-us/fabric/data-factory/apache-airflow-jobs-concepts

I need to apply guardrails but guardrails usage is costing high and but all of a sudden the default behaviour of foundry agents is that it is blocking the dangerous prompts but I am not sure why it is blocked but 1 month back when I tried it is not working properly but now all of a sudden working.

Can anyone know the reason behind this does azure the brought the new policy update cause I don't find anywhere inthe internet

Azure release blogs at some point become cumbersome.
I was happy to have found https://azurecharts.com

It listed all release note updates from Azure, but also Azure Devops and Fabric on a single simple intuitive site.

Now there is a login wall! 🤯

What happened?

Hi everyone,

I’m looking for some genuine advice and learning resources from people who have recently prepared for AZ-104 and AI-200.

I have to clear both exams by the end of this month due to a requirement from my employer. I know that’s a pretty aggressive timeline, but unfortunately I don’t have much flexibility here, so I need to make it work somehow.

I recently attempted AZ-104 after about 4 days of preparation, studying for less than 4 hours a day, and scored 557. I used some practice questions from ExamTopics, but clearly that preparation wasn’t enough.

I understand that 4 days is inadequate for AZ-104. The bigger challenge is that I’m currently working around 10 hours a day, along with some personal commitments, so finding enough focused study time has been difficult. That said, I’m determined to get through both exams this month.

I’d really appreciate advice from anyone who has cleared these exams recently, especially on:

• What are the best resources for AZ-104 and AI-200?
• Are there any Microsoft Learn modules/learning paths that I should prioritise?
• Which topics should I focus on most given my limited time?
• Are there any good hands-on labs or practice environments that are worth spending time on?
• What practice tests would you recommend?
• How would you structure a 2–3 week crash preparation plan for both exams?
• If you’ve taken either exam recently, what topics or areas were particularly important?
• Is it realistic to prepare for both simultaneously while working full-time?

If anyone has been in a similar situation while working full-time with limited study hours and still managing to clear these exams, I’d really appreciate hearing how you approached it.

I’m honestly under quite a bit of time pressure right now, so any specific resources, study plans, topic prioritisation, or practical advice would be extremely helpful.

Thanks in advance to everyone who takes the time to share their experience and advice!

Running alot of D* seeing issues with starting machines needing to switchover to another SKU etc again.

Dont see any advisory so wondering if someone is seeing the same?

Running into something weird with Container Apps Jobs and hoping someone's hit this before.

Setup: KEDA-triggered job off a Service Bus queue, one execution per message, GPU workload, Python worker logging pretty heavily to stdout during processing (think dozens of lines/sec at peak).

For some executions, the logs in Log Analytics just... stop. Mid-run. No exception, no OOM kill message, no non-zero exit code — the log stream just goes silent partway through. Looked exactly like a crash at first.

Except it's not. I went and checked the actual output files the job produces (writes them to blob storage as the last step of each stage), and for the "crashed" runs, the outputs from later stages — stages that log stuff after where the log stream cuts off — are sitting right there in storage. The job execution status even shows Succeeded.

So the job is completely fine. It's the logs that are incomplete. Ruled out the obvious suspects already:

• Not an OOM kill (I've separately hit a real OOM kill on this same code locally — that gives you an explicit Killed line, totally different signature)
• Not the job timeout (set way higher than actual runtime)
• Job status is Succeeded, not Failed

Can anyone help me figure out the solution for this?

I need to apply guardrails but guardrails usage is costing high and but all of a sudden the default behaviour of foundry agents is that it is blocking the dangerous prompts but I am not sure why it is blocked but 1 month back when I tried it is not working properly but now all of a sudden working.

Can anyone know the reason behind this does azure the brought the new policy update cause I don't find anywhere inthe internet

Everyone uses agents, an agent makes anywhere between 1-10 requests to finish doing the task it needs to do. DeepSeek V4 Flash is an extremely fast and cheap model for agentic use.

Tell me why the hell they decided to set a default max RPM limit of 20 on DeepSeek V4 Flash deployments. I can't even last more than 2 requests before being throttled. For a model BUILT for agentic uses, how does it make sense to set quota on requests instead of tokens???

I'm exploring an idea and want to validate whether there's actually a need for it before building it further.

Imagine having a small Azure environment that behaves somewhat like a real organization:

• Multiple identities with different roles
• Normal day-to-day activity
• Resource access and changes
• Administrative activity
• Deployments and configuration changes
• Authentication activity
• Background "noise"

And on top of that, specific security scenarios or attack activity is triggered at different times, hidden in the noise.

The goal would be to have an environment that is active and changing, rather than a static cloud-security lab where you perform one exercise and tear everything down.

Potential uses could include:

• Detection engineering
• Testing Sentinel/SIEM detections
• KQL development
• Threat hunting
• SOC investigation practice
• Cloud-security training
• Testing security products
• Practicing cloud incident response

I'm trying to figure out whether this is actually something people want.

If this existed, would you be interested in using it?

If yes:

What would you use it for?

And what would you expect it to do for you to consider it worth using?

If no:

What would you use instead, and why would this not be useful?

I'm not promoting a product or asking anyone to sign up for anything. I'm simply trying to determine whether this is a problem worth building a solution for.

I had my DP-900 exam today but I lost my internet connection and then my proctor just closed the exam I also raised mu issue ticket on their support page and they have raised my case and told that I will the reply from their team in 2-3 days so what I will do now? Am I banned for the internet issue?

Azure weekly update #35 is here. This week's updates focus on new capabilities across Azure Front Door, AKS, and Azure Monitor, with several features moving into general availability.

Detailed list:

• Public Preview: Azure Front Door profile and route level WAF policies. Azure Front Door WAF now supports policy associations at the profile, domain, or route scope. Route-level policies take precedence over domain and profile-level policies.
• Public Preview: Reader Endpoint for Azure Database for MySQL. This feature enables automatic load balancing of read-only connection traffic across multiple replicas for Azure Database for MySQL Flexible Server.
• Launched | Generally Available: Microsoft Defender for Cloud support for Azure Container Apps (Serverless Containers Posture). Security teams can now extend posture management across container environments using a single workflow from Microsoft Defender for Cloud.
• Launched | Generally Available: Windows Server 2025 on AKS. AKS now supports Windows Server 2025 with Stable ABI, Generation 2 VM default, and FIPS enablement by default.
• Launched | Generally Available: Artifact Streaming on AKS. This feature accelerates containerized workloads by streaming images from ACR to AKS, reducing pod readiness time and improving scaling efficiency.
• Launched | Generally Available: Confidential VMs for Azure Linux. Confidential VMs for Azure Linux are now available in AKS, allowing sensitive workloads to migrate without code refactoring.
• Launched | Generally Available: Purchase order mapping available in Microsoft Marketplace. AI-powered discovery of Azure Updates is now available using the Microsoft Release Communications MCP server.
• Launched | Generally Available: Azure Firewall auto-learn SNAT routes. Azure Firewall now automatically learns registered and private destination prefixes, applying them as No-SNAT ranges.
• Launched | Generally Available: Azure Copilot Observability Agent supports Basic and Auxiliary table plans. The Copilot Observability Agent now supports Basic and Auxiliary table plans for Log Analytics data during deep investigations.
• Launched | Generally Available: Azure Monitor Auxiliary Logs Plan in Azure Government and China regions. The Auxiliary table plan is now available in the sovereign clouds: Azure Government (Fairfax) and China regions.
• Launched | Generally Available: Azure Monitor Auxiliary Logs Plan support for Azure tables and plan switching. The Auxiliary table plan now supports a subset of standard Azure tables and allows users to switch between plans without recreating tables.
• Public Preview: Per-disk resiliency for Azure VMs. Per-disk resiliency is in public preview, allowing Azure to detach only the affected disk when a VM loses access to it.
• Public Preview: Azure Multicloud Interconnect. This feature provides private connectivity between Azure and supported cloud providers, deployable directly from the Azure portal.

Hey all, my co-founder and I just started a small tech startup and we keep hearing about the Microsoft for Startups Founders Hub program (Azure credits, GitHub, M365 etc). Before we spend time on the application I wanted to ask people who've actually been through it:

• Is this still open right now / actually giving out credits, or has it gotten harder to get into lately?
• Do you need to already have investors/funding, or can a totally bootstrapped, pre-revenue startup get in?
• How long did the review actually take for you?
• Any tips on what to put in the application so it doesn't get rejected?

Im a student and my class experiments are done thru azure(students account) Can anyone help me to get through this error been having a hard time lately to get overr it i tried all the ways clearing cache and trying in a different browser and even using an another account. Ive tried the verification part too still no progress

Hey folks, a while ago, I wrote a blog about Azure Files SMB access using cloud only identities in Microsoft Entra ID. I covered how to enable Microsoft Entra Kerberos authentication with Azure Bicep and how this enables secure access without relying on traditional directory services. In this blog, I want to take a closer look at the permissions side. We will explore how to define and manage Azure Files access for cloud only identities in Microsoft Entra ID, creating a structured and scalable approach to permissions. For the people who need this: Link to blog

Hi r/AZURE,

I built a small automation tool that might be useful for anyone working with Azure Automation, Microsoft Intune and Windows Autopilot.

I often need Windows 11 test devices for validating policies, applications and deployment scenarios. Physical test hardware is not always available, and manually creating VMs, collecting their hardware hashes and importing them into Windows Autopilot quickly becomes repetitive.

To solve this, I built a PowerShell Runbook that runs on an Azure Automation Hybrid Runbook Worker and provisions the complete test VM through the Proxmox API.

The Runbook automatically:

• Creates a full clone of a Windows 11 Proxmox template
• Configures CPU, memory and the final disk size
• Expands the Windows system partition
• Recreates and enables the Windows Recovery partition
• Collects the Autopilot hardware hash through the QEMU Guest Agent
• Authenticates to Microsoft Graph using the Automation Account’s Managed Identity
• Imports the device into Windows Autopilot
• Monitors the import until completion
• Reboots the VM so it can retrieve its assigned Autopilot profile

It does not require an Azure client secret, Az.Accounts or the Microsoft Graph PowerShell SDK. Authentication is handled through the Automation Account’s system-assigned Managed Identity.

In my environment, the complete process usually takes around five minutes. I can also run it multiple times to build a larger disposable test environment without preparing or carrying multiple physical devices.

I’d appreciate any feedback, especially from people using Azure Automation Hybrid Workers in similar lab or testing environments. If you find a bug or have an improvement, feel free to open an issue :)

GitHub repository:

https://github.com/Mau2rice0/World-of-M365/tree/main/Intune/Automation/New-ProxmoxWindowsAutopilotVM