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Azure Devops Pipelines Stage Release
Hi! This is the problem I have! I'm making a process that collects many applications from a repository, which are eventually compiled into docker containers. And after assembly, I install them on various stands (dev, test, and so on). But I can’t select the branch in the releases from which the application will be built. Therefore, I thought that pipelines have such an opportunity at launch. Ability to select a Git branch. But I came across the fact that when I create a pipeline, not a release, my tasks are performed sequentially or with dependencies on each other. In this situation, I cannot restart the same pipeline only with different parameters. Let's say I have an assembly stage, a launch stage for a dev bench, and a launch stage for a test bench. If I start rolling on the dev stand, then I cannot restart the same pipeline and roll on the test stand. Maybe I don't know something? Have you encountered such a problem? Maybe there is a solution (it’s possible in Git Lab).
KITIT
Copper Contributor
Apr 14, 2025
Azure DevOps
662Views
0likes
1Comment
Regarding changing the git push timestamp on azure repository
Hi! I had first used git rebase for editing the particular committer and saved and proceeded with GIT_COMMITTER_DATE="2025-04-10T15:30:00" git commit --amend --no-edit --date "2025-04-10T15:30:00" like this and used another code to make the author date and committer date to be same and then I pushed to the remote repository like azure devops. After changes I can see the committer date gets changed as expected and author date too changed and I made them the same .But my question is in azure devops there is showing three dates commitor date,author date,push date,In my case for example as per code commuter date is 2025-04-10T15:30:00;authored date is 2025-04-10T15:30:00 while the push date is not that and it was the time I pushed to devops. In devops in the commit history section the timestamp is changed while when I go to the push section of devops the timestamp is showing not the commit timestamp but the time when I actually pushed to there repo.My question is I have done the change for commt,author date but I cant do for the push date.Is there any way to change the git push date or devops push date timestamp in the repository. Hope I get the required information.Thank you
list_mistacc
Copper Contributor
Apr 14, 2025
3Views
0likes
1Comment
Error 500 logging into ADO or Private Nuget feed
I have a long standing user who in the middle of last week lost his ability to login got ADO or connect to our private feeds getting an 500 Internal Server Error. The situation is complicated slightly in that we share an ADO Subscription amongst multiple tenants so this use is added as an ExternalAzureAD Guest. I dropped and recreated the user both in ADO and his guest account in the ADO joined tenant, waited half an hour and then re-added the user with to ADO, but still the same error. I have done the same with a scratch user and all this works without issue. When the user goes direct to the private feed and logs in, they get the error: {"$id":"1","innerException":null,"message":"TF400813: The user '66faf51b-bf86-6913-bd44-d1b38246c0ea' is not authorized to access this resource.","typeName":"Microsoft.TeamFoundation.Framework.Server.UnauthorizedRequestException, Microsoft.TeamFoundation.Framework.Server","typeKey":"UnauthorizedRequestException","errorCode":0,"eventId":3000} When they try to login to ADO, the get the attached error: We tried this on a different machine and got the same behaviour, so it seems account related. How can I resolve this?
jeremympope
Copper Contributor
Apr 13, 2025
Azure DevOps
695Views
0likes
1Comment
SSH connexion failed from Azure DevOps server 2020 agents to REHL9
Hi everyone ! with our new linux REHL9 servers we couldn't connect to them through SSH Service connexion (configured with Private Key/username/password). When we use SSH task in release pipeline we face this error message [error]Échec de la connexion à la machine distante. Vérifiez les détails de la connexion de service SSH. Erreur : Error: All configured authentication methods failed. On REHL9 server rsa-ssh connexion is deprecated and we need to use at least rsa-sha-256 algorithm. Can we do some configurations on Az DevOps server to allow that ? I mean use rsa-sha2-256 (or 512) for ssh communication. Someone have already face this error ? Thank you for your help !
Etienne_Louise
Copper Contributor
Apr 13, 2025
Azure DevOps
666Views
0likes
1Comment
Ionic command task missing
Has any one encountered this error this morning. This was working fine till Friday. Our pipeline has stopped working and not able to find the ionic command task. "A task is missing. The pipeline references a task called 'IonicCommand'. This usually indicates the task isn't installed, and you may be able to install it from the Marketplace: https://marketplace.visualstudio.com. (Task version 1, j)"
Pranav_Ghosh
Copper Contributor
Apr 11, 2025
Azure DevOps
353Views
1like
1Comment
I am running into an issue trying to install 2022.1 RTW
When I try to upgrade my Azure DevOps 2022.1 RC to Azure DevOps 2022.1 RTW it takes a VERY LONG TIME, and ultimately stops with an error, but the error is not useful "the intallation did not complete sucessfully". yet, when I look at the installer logs I see the following dd_devops_server_20240218201745_001_devops_serverCore: MSI (s) (D4:90) [20:33:50:520]: Product: AzureDevOpsCore2022.1 -- Installation completed successfully. MSI (s) (D4:90) [20:33:50:521]: Windows Installer installed the product. Product Name: AzureDevOpsCore2022.1. Product Version: 19.225.34309. Product Language: 1033. Manufacturer: Microsoft Corporation. Installation success or error status: 0. dd_devops_server_20240218201745_002_devops_serverWeb: MSI (s) (D4:98) [21:15:09:936]: Product: AzureDevOpsWeb2022.1 -- Installation completed successfully. MSI (s) (D4:98) [21:15:09:937]: Windows Installer installed the product. Product Name: AzureDevOpsWeb2022.1. Product Version: 19.225.34309. Product Language: 1033. Manufacturer: Microsoft Corporation. Installation success or error status: 0. Why am I getting an error?
JGedney
Copper Contributor
Apr 11, 2025
Azure DevOps
309Views
0likes
1Comment
Azure Event Grid CLI Identity Gaps & Workarounds with Python REST and ARM Templates
Azure Event Grid has become a cornerstone service for building event-driven architectures in the cloud. It provides a scalable event routing service that enables reactive programming patterns, connecting event sources to event handlers seamlessly. However, when working with Event Grid through the Azure CLI, developers often encounter a significant limitation: the inability to configure system-assigned managed identities using CLI commands. In this blog post, I'll explore this limitation and provide practical workarounds using Python REST API calls and ARM templates with CLI to ensure your Event Grid deployments can leverage the security benefits of managed identities without being blocked by tooling constraints. Problem Statement: Unlike many other Azure resources that support the --identity or ---assign-identity parameter for enabling system-assigned managed identities, Event Grid's CLI commands lack this capability while creating event subscription for system topic at the moment. This means that while the Azure Portal and other methods support managed identities for Event Grid, you can't configure them directly through the CLI in case of system topic event subscriptions For example you can add managed identity for delivery through portal but not through AZ CLI: If you try to use the following CLI command: az eventgrid system-topic event-subscription create \ --name my-sub \ --system-topic-name my-topic \ --resource-group my-rg \ --endpoint <EH resource id> --endpoint-type eventhub \ --identity systemassigned You'll run into a limitation: The --identity flag is not supported or unrecognized for system topic subscriptions in Azure CLI. Also, --delivery-identity is in preview and under development Current Status of This Limitation: It's worth noting that this limitation has been recognized by the Azure team. There is an official GitHub feature request tracking this issue, which you can find at Use managed identity to command creates an event subscription for an event grid system topic · Issue #26910 · Azure/azure-cli. Before implementing any of the workarounds described in this article, I recommend checking the current status of this feature request. The Azure CLI is continuously evolving, and by the time you're reading this, the limitation might have been addressed. However, as of April 2025, this remains a known limitation in the Azure CLI, necessitating the alternative approaches outlined below. Why This Matters: This limitation becomes particularly problematic in CI/CD pipelines or Infrastructure as Code (IaC) scenarios where you want to automate the deployment of Event Grid resources with managed identities. Solution 1: Using Azure REST API with Python request library: The first approach to overcome this limitation is to use the Azure REST API with Python. This provides the most granular control over your Event Grid resources and allows you to enable system-assigned managed identities programmatically. System Topic Event Subscriptions - Create Or Update - REST API (Azure Event Grid) | Microsoft Learn You can retrieve Azure Entra token using below CLI command: az account get-access-token Sample working code & payload: import requests import json subscription_id = <> resource_group = <> system_topic_name = <> event_subscription_name = <> event_hub_resource_id = <> access_token = <> url = f"https://management.azure.com/subscriptions/{subscription_id}/resourceGroups/{resource_group}/providers/Microsoft.EventGrid/systemTopics/{system_topic_name}/eventSubscriptions/{event_subscription_name}?api-version=2024-12-15-preview" payload = { "identity": { "type": "SystemAssigned" }, "properties": { "topic": "/subscriptions/<>/resourceGroups/<>/providers/Microsoft.EventGrid/systemTopics/<>", "filter": { "includedEventTypes": [ "Microsoft.Storage.BlobCreated", "Microsoft.Storage.BlobDeleted" ], "advancedFilters": [], "enableAdvancedFilteringOnArrays": True }, "labels": [], "eventDeliverySchema": "EventGridSchema", "deliveryWithResourceIdentity": { "identity": { "type": "SystemAssigned" }, "destination": { "endpointType": "EventHub", "properties": { "resourceId": "/subscriptions/<>/resourceGroups/rg-sch/providers/Microsoft.EventHub/namespaces/<>/eventhubs/<>", "deliveryAttributeMappings": [ { "name": "test", "type": "Static", "properties": { "value": "test", "isSecret": False, "sourceField": "" } }, { "name": "id", "type": "Dynamic", "properties": { "value": "abc", "isSecret": False, "sourceField": "data.key" } } ] } } } } } headers = { "Authorization": f"Bearer {access_token}", "Content-Type": "application/json" } response = requests.put(url, headers=headers, data=json.dumps(payload)) if response.status_code in [200, 201]: print("Event subscription created successfully!") Remember that these tokens are sensitive security credentials, so handle them with appropriate care. They should never be exposed in logs, shared repositories, or other insecure locations. Solution 2: Using ARM Templates & deploying it through CLI Another solution is to use Azure Resource Manager (ARM) templates, which fully support system-assigned managed identities for Event Grid. This approach works well in existing IaC workflows. Microsoft.EventGrid/systemTopics/eventSubscriptions - Bicep, ARM template & Terraform AzAPI reference | Microsoft Learn Here's a sample ARM template that creates an Event Grid topic with a system-assigned managed identity: { "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#", "contentVersion": "1.0.0.0", "parameters": { "systemTopicName": { "type": "string", "metadata": { "description": "Name of the existing system topic" } }, "eventSubscriptionName": { "type": "string", "metadata": { "description": "Name of the event subscription to create" } }, "eventHubResourceId": { "type": "string", "metadata": { "description": "Resource ID of the Event Hub to send events to" } }, "includedEventType": { "type": "string", "defaultValue": "Microsoft.Storage.BlobCreated", "metadata": { "description": "Event type to filter on" } } }, "resources": [ { "type": "Microsoft.EventGrid/systemTopics/eventSubscriptions", "apiVersion": "2024-06-01-preview", "name": "[format('{0}/{1}', parameters('systemTopicName'), parameters('eventSubscriptionName'))]", "identity": { "type": "SystemAssigned" }, "properties": { "deliveryWithResourceIdentity": { "destination": { "endpointType": "EventHub", "properties": { "resourceId": "[parameters('eventHubResourceId')]" } }, "identity": { "type": "SystemAssigned" } }, "eventDeliverySchema": "EventGridSchema", "filter": { "includedEventTypes": [ "[parameters('includedEventType')]" ] } } } ] } How to deploy via Azure CLI: az deployment group create \ --resource-group <your-resource-group> \ --template-file eventgridarmtemplate.json \ --parameters \ systemTopicName=<system-topic-name> \ eventSubscriptionName=<event-subscription-name> \ eventHubResourceId="/subscriptions/<sub>/resourceGroups/<rg>/providers/Microsoft.EventHub/namespaces/<namespace>/eventhubs/<hub>" Disclaimer The sample scripts provided in this article are provided AS IS without warranty of any kind. The author is not responsible for any issues, damages, or problems that may arise from using these scripts. Users should thoroughly test any implementation in their environment before deploying to production. Azure services and APIs may change over time, which could affect the functionality of the provided scripts. Always refer to the latest Azure documentation for the most up-to-date information. Thanks for reading this blog! I hope you've found these workarounds valuable for addressing the Event Grid identity parameter limitation in Azure CLI. 😊
ani_ms_emea
Microsoft
Apr 10, 2025
azure
Azure CLI
azure deployment environments
Azure Developer
azure developer cli
87Views
3likes
0Comments
Mastering Azure Cost Management: Essential Tools for Cloud Financial Control in 2025
In today's cloud-first world, effective cost management isn't just about saving money—it's about strategic resource allocation that drives business value. Azure Cost Management provides powerful tools to monitor, analyze, and optimize your cloud spending, ensuring you get maximum ROI from your Microsoft Azure investments. Understanding Azure Cost Management Azure Cost Management is a free suite of tools that provides comprehensive visibility into your cloud spending patterns[7]. It helps you track resource usage, set budgets, and forecast future expenses with precision. This isn't just about cutting costs; it's about smart spending and strategic resource allocation that can give your organization a competitive edge. The platform offers detailed breakdowns of your expenses across various services and resources, allowing you to identify optimization opportunities and make informed decisions about your cloud infrastructure[9]. Key Features That Drive Value Cost Analysis: Your Financial Dashboard The Cost Analysis section provides detailed insights into your Azure spending patterns[2]. This interactive tool allows you to: - View cost trends by day, week, month, or custom time periods - Identify spending patterns and understand cost fluctuations - Detect anomalies or unexpected spikes in your Azure costs For optimal visibility, configure your cost analysis with **Daily** time granularity and **Resource** grouping. This combination provides the most detailed view of your cloud spending, allowing you to identify specific resources driving your costs and make informed decisions about their value. Budgets and Alerts: Stay Ahead of Spending Setting up budgets should be one of your first actions when establishing a new Azure subscription[2]. The Budgets feature allows you to: - Create and manage spending thresholds - Receive email alerts when costs approach budget limits - Get notifications when forecasted spending indicates potential overages This proactive approach helps prevent unexpected charges and enables timely intervention before costs escalate. Advisor Recommendations: Expert Optimization Guidance Azure Cost Management integrates with Azure Advisor to provide personalized cost optimization recommendations[2], such as: - Resizing or shutting down underutilized resources - Leveraging reserved instances for consistent workloads - Modifying service configurations for better cost efficiency As a best practice, regularly check these recommendations to identify new optimization opportunities. What's New in 2025 Microsoft continues to enhance the Cost Management platform with new features. Recent updates include: - New fields for cost allocation for Enterprise Agreement customers[5] - Copilot nudges for proactive cost optimization[5][12] - Introduction of an open data billing format[5] - AI-enhanced cost insights and automation[1] - Improved cost allocation with tag inheritance[1] - Sustainable cloud operations with the Azure Carbon Optimization tool[1] - Expansion of savings plans and reservation models[1] Best Practices for Azure Cost Optimization 1. Right size Your Resources Monitor utilization patterns and adjust your VM sizes based on actual requirements rather than theoretical maximums[3]. Downsizing overprovisioned VMs is one of the most effective ways to reduce Azure expenses[1]. 2. Implement Autoscaling Solutions Autoscaling adjusts the number of compute resources in response to load, maintaining performance without over-provisioning[1]. It ensures only necessary resources are active, directly reducing operational costs. 3. Leverage Azure Reservations and Savings Plans Azure Reservations and Savings Plans offer reduced pricing for predictable workloads by committing to longer terms[1]. They provide substantial savings compared to pay-as-you-go rates and are suitable for workloads with stable requirements. 4. Use Azure Hybrid Benefit Azure Hybrid Benefit allows users to bring their existing on-premise Windows Server and SQL Server licenses to Azure, reducing licensing costs[1]. This is particularly beneficial for enterprises transitioning to hybrid cloud environments. 5. Implement Resource Tagging Use resource tags to categorize your Azure resources according to your organizational structure[2]. This enables precise cost allocation and helps teams understand their cloud spending, fostering accountability across departments and projects. Benefits of Effective Cost Management Organizations that master Azure Cost Management experience several key benefits[10]: - Transparency: Clear visibility into cloud spending enables informed decision-making - Automation: Streamlined financial operations with reduced manual interventions - Budgeting and Forecasting: Accurate planning of cloud expenses prevents surprises - Cost Allocation: Proper distribution of costs to specific departments ensures accountability -Optimization Recommendations: Actionable insights to reduce costs by identifying underutilized resources Conclusion As cloud adoption accelerates, mastering Azure Cost Management becomes increasingly critical for organizational success. By leveraging these tools and following best practices, you can transform your Azure strategy from a financial burden to a catalyst for growth and innovation. Remember that effective cost management isn't just about reducing expenses—it's about maximizing the value of every dollar spent in the cloud, ensuring your Azure investments align perfectly with your business objectives.
Aditya_vp
Copper Contributor
Apr 09, 2025
App Services
azure
Azure Cost
48Views
0likes
0Comments
From Doubt to Victory: How I Passed Microsoft SC-200
Hey everyone! I wanted to share my journey of how I went from doubting my chances to successfully passing the Microsoft SC-200 exam. At first, the idea of taking the SC-200 seemed overwhelming. With so many topics to cover, especially with the integration of Microsoft security technologies, I wasn’t sure if I could pull it off. But after months of studying and staying consistent, I finally passed! 🎉 Here’s what worked for me: Study Plan: I created a structured study schedule and stuck to it. I broke down each section of the exam objectives and allocated time for each part. Authentic Exam Questions: I used it-examstest for practice exams. Their realistic test format helped me get a good grasp of the exam pattern. Plus, the explanations for the answers were super helpful in understanding the concepts. Practice Exams: I did multiple mock tests. Honestly, they helped me more than I expected! They boosted my confidence, and I could pinpoint areas where I needed to improve. SC-200 Study Materials: I relied on a combination of online courses, books, and video resources. Watching the study videos and taking notes helped me retain the information better. Don’t Cram: I didn’t leave things to the last minute. It took me about 2-3 months of consistent study to get comfortable with the material. I made sure to take breaks and not burn myself out. Passing this exam felt amazing! If you're in the same boat and feeling uncertain, just stick with it! It’s a challenging exam, but with the right tools and preparation, you can do it. Keep pushing forward, and good luck to everyone! 💪 Would be happy to answer any questions if anyone has them!
sphia_james_01102
Copper Contributor
Apr 08, 2025
analytics
Microsoft Security Operations Analyst
487Views
0likes
3Comments
Understanding Azure AI Services: Navigating the Confusion
Azure AI Services offers powerful capabilities for integrating artificial intelligence into applications, but the structure and relationships between different services can be confusing. This guide clarifies the Azure AI ecosystem based on hands-on exploration and provides solutions to common issues. The Azure AI Services Ecosystem Azure's AI offerings are organized into several key services, each with specific purposes: 1. Azure AI Search (formerly Azure Cognitive Search) Purpose: Provides search capabilities for databases, including vector databases. Key Features: Requires an embedding model (like OpenAI Ada) for vector search Provides database storage for searchable content Offers multiple search algorithms: hybrid, semantic, or vector-based Common Issues & Solutions: When using AI Search with cognitive skills, you might encounter throttling errors when too many skills execute in parallel For throttling issues, consider using the SearchIndexingBufferedSender for automatic retry or reset and rerun the indexer Invalid skill inputs can cause warnings like "Skill input was invalid" - ensure required inputs like text and languageCode are properly provided 2. Azure AI Services (the service itself) Purpose: Provides a collection of AI capabilities including text, audio, and visual processing. Key Features: Creates text, audio, and visual model services Includes access to an AI Foundry portal with limited models (62 chat completion models) Confusion Point: Despite mentioning text, audio, and visual capabilities, the AI Foundry portal accessed through this service only provides 62 chat completion models, creating a disconnect between service description and actual capabilities. 3. Azure OpenAI Service Purpose: Provides access to OpenAI models within Azure's secure environment. Key Features: Dedicated to OpenAI models specifically Enterprise-grade security and compliance Best Practices: Use provisioned throughput (PTU) for production workloads to avoid "noisy neighbor" problems like increased latency and throttling Consider implementing streaming for applications like chatbots to enhance perceived performance Use dedicated model deployments per consumer group to provide usage isolation 4. Azure AI Foundry Purpose: Provides comprehensive access to AI models and capabilities. Key Features: Access to 1800+ models across various categories Automatically creates resources for speech, vision, etc. Architecture: Built on capabilities provided by other Azure services Has a hub-project structure where the hub is the top-level resource Understanding the Confusion Points Different Foundry Access Points with Varying Model Availability One of the most confusing aspects is that there are multiple ways to access AI Foundry with significantly different model availability: Azure AI Services Foundry: Only provides access to 62 chat completion models Azure OpenAI Resource Foundry: Only provides access to OpenAI models Azure AI Foundry Resource Foundry: Provides access to all 1800+ models Hub vs. Project Structure The Azure AI Foundry portal has two levels of access: Hub: Home to infrastructure (virtual network setup, managed keys, identities, policies) Project: Workspaces that allow you to build and deploy AI systems This structure allows developers to create projects that inherit hub security settings, but contributes to confusion about where resources are created and accessed. Common Issues and Solutions Access Control Issues Issue: "Principal doesn't have access to API/Operation" error when using the Azure AI Foundry portal chat playground Solution: Assign the appropriate roles based on the services you're using: For Azure OpenAI: Cognitive Services OpenAI Contributor and Cognitive Services User role For Azure AI Search: Search Index Data Contributor or Search Index Data Reader roles Storage Access Problems Issue: Unable to access blob storage associated with an AI Foundry hub despite being the owner Solution: Turn on system-assigned managed identity for the AI service Use RBAC to assign the storage blob data contributor role to the managed identity Wait for role assignments to propagate (can take minutes to an hour) Private Endpoint Connection Issues Issue: 403 errors or "access forbidden" messages when connecting to an Azure AI Foundry project with a private endpoint Solution: Check proxy configurations that might prevent communication Ensure your proxy allows connections to AML APIs Verify network settings of the storage account associated with your hub Deployment Troubleshooting Issue: "Use of Azure OpenAI models in Azure Machine Learning requires Azure OpenAI Services resources" Solution: This error means you might not have access to the particular Azure OpenAI model in your subscription or region Issue: "Out of quota" errors Solution: Review and manage quotas for: Deploying and inferencing models Azure OpenAI Service Resources with Azure AI Foundry Conclusion Understanding the structure of Azure AI Services helps navigate the platform more effectively. While the naming conventions can be confusing (particularly with "Azure AI Services" being both a parent category and a specific service), each component serves specific purposes in the AI development ecosystem. For most comprehensive AI projects, start with Azure AI Foundry for the broadest access to models and capabilities, then integrate with other services like Azure AI Search as needed for specific functionality.
Aditya_vp
Copper Contributor
Apr 08, 2025
60Views
0likes
0Comments

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Contributor","color":"333333","rankStyle":"TEXT"},"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-4.svg?time=0"},"id":"user:2195136"},"ForumTopicMessage:message:4005783":{"__typename":"ForumTopicMessage","subject":"Azure Devops Pipelines Stage Release","conversation":{"__ref":"Conversation:conversation:4005783"},"id":"message:4005783","revisionNum":3,"uid":4005783,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:2195136"},"metrics":{"__typename":"MessageMetrics","views":662},"postTime":"2023-12-11T06:10:53.784-08:00","lastPublishTime":"2024-03-05T17:03:38.602-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Hi! This is the problem I have! I'm making a process that collects many applications from a repository, which are eventually compiled into docker containers. And after assembly, I install them on various stands (dev, test, and so on). But I can’t select the branch in the releases from which the application will be built. Therefore, I thought that pipelines have such an opportunity at launch. Ability to select a Git branch. But I came across the fact that when I create a pipeline, not a release, my tasks are performed sequentially or with dependencies on each other. In this situation, I cannot restart the same pipeline only with different parameters. Let's say I have an assembly stage, a launch stage for a dev bench, and a launch stage for a test bench. If I start rolling on the dev stand, then I cannot restart the same pipeline and roll on the test stand. Maybe I don't know something? Have you encountered such a problem? Maybe there is a solution (it’s possible in Git Lab). ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"993","kudosSumWeight":0,"repliesCount":1,"readOnly":false,"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98MQ","node":{"__typename":"Tag","id":"tag:Azure DevOps","text":"Azure DevOps","time":"2018-11-13T07:30:21.734-08:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":1,"images":{"__typename":"AssociatedImageConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:4403533":{"__typename":"Conversation","id":"conversation:4403533","topic":{"__typename":"ForumTopicMessage","uid":4403533},"lastPostingActivityTime":"2025-04-13T17:11:10.981-07:00","solved":false},"User:user:2986529":{"__typename":"User","uid":2986529,"login":"list_mistacc","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"rank":{"__typename":"Rank","name":"Copper Contributor","color":"333333","rankStyle":"TEXT"},"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-11.svg?time=0"},"id":"user:2986529"},"ForumTopicMessage:message:4403533":{"__typename":"ForumTopicMessage","subject":"Regarding changing the git push timestamp on azure repository","conversation":{"__ref":"Conversation:conversation:4403533"},"id":"message:4403533","revisionNum":1,"uid":4403533,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:2986529"},"metrics":{"__typename":"MessageMetrics","views":3},"postTime":"2025-04-11T09:54:21.608-07:00","lastPublishTime":"2025-04-11T09:54:21.608-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Hi! I had first used git rebase for editing the particular committer and saved and proceeded with GIT_COMMITTER_DATE=\"2025-04-10T15:30:00\" git commit --amend --no-edit --date \"2025-04-10T15:30:00\" like this and used another code to make the author date and committer date to be same and then I pushed to the remote repository like azure devops. After changes I can see the committer date gets changed as expected and author date too changed and I made them the same .But my question is in azure devops there is showing three dates commitor date,author date,push date,In my case for example as per code commuter date is 2025-04-10T15:30:00;authored date is 2025-04-10T15:30:00 while the push date is not that and it was the time I pushed to devops. In devops in the commit history section the timestamp is changed while when I go to the push section of devops the timestamp is showing not the commit timestamp but the time when I actually pushed to there repo.My question is I have done the change for commt,author date but I cant do for the push date.Is there any way to change the git push date or devops push date timestamp in the repository. Hope I get the required information.Thank you ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"1216","kudosSumWeight":0,"repliesCount":1,"readOnly":false,"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[]},"timeToRead":1,"images":{"__typename":"AssociatedImageConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:4006622":{"__typename":"Conversation","id":"conversation:4006622","topic":{"__typename":"ForumTopicMessage","uid":4006622},"lastPostingActivityTime":"2025-04-12T22:11:17.612-07:00","solved":false},"User:user:2196999":{"__typename":"User","uid":2196999,"login":"jeremympope","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"rank":{"__typename":"Rank","name":"Copper Contributor","color":"333333","rankStyle":"TEXT"},"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-10.svg?time=0"},"id":"user:2196999"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MDA2NjIyLTUzMzk0N2k2RjA2MDEwMDRDMzYxRTAy?revision=2\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MDA2NjIyLTUzMzk0N2k2RjA2MDEwMDRDMzYxRTAy?revision=2","title":"image (1).png","associationType":"BODY","width":1416,"height":511,"altText":null},"ForumTopicMessage:message:4006622":{"__typename":"ForumTopicMessage","subject":"Error 500 logging into ADO or Private Nuget feed","conversation":{"__ref":"Conversation:conversation:4006622"},"id":"message:4006622","revisionNum":2,"uid":4006622,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:2196999"},"metrics":{"__typename":"MessageMetrics","views":695},"postTime":"2023-12-12T02:58:48.574-08:00","lastPublishTime":"2024-03-05T17:03:55.580-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" I have a long standing user who in the middle of last week lost his ability to login got ADO or connect to our private feeds getting an 500 Internal Server Error. The situation is complicated slightly in that we share an ADO Subscription amongst multiple tenants so this use is added as an ExternalAzureAD Guest. I dropped and recreated the user both in ADO and his guest account in the ADO joined tenant, waited half an hour and then re-added the user with to ADO, but still the same error. I have done the same with a scratch user and all this works without issue. When the user goes direct to the private feed and logs in, they get the error: {\"$id\":\"1\",\"innerException\":null,\"message\":\"TF400813: The user '66faf51b-bf86-6913-bd44-d1b38246c0ea' is not authorized to access this resource.\",\"typeName\":\"Microsoft.TeamFoundation.Framework.Server.UnauthorizedRequestException, Microsoft.TeamFoundation.Framework.Server\",\"typeKey\":\"UnauthorizedRequestException\",\"errorCode\":0,\"eventId\":3000} When they try to login to ADO, the get the attached error: We tried this on a different machine and got the same behaviour, so it seems account related. How can I resolve this? ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"1196","kudosSumWeight":0,"repliesCount":1,"readOnly":false,"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98MQ","node":{"__typename":"Tag","id":"tag:Azure DevOps","text":"Azure DevOps","time":"2018-11-13T07:30:21.734-08:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":1,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MDA2NjIyLTUzMzk0N2k2RjA2MDEwMDRDMzYxRTAy?revision=2\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:4006816":{"__typename":"Conversation","id":"conversation:4006816","topic":{"__typename":"ForumTopicMessage","uid":4006816},"lastPostingActivityTime":"2025-04-12T22:08:49.042-07:00","solved":false},"User:user:1724125":{"__typename":"User","uid":1724125,"login":"Etienne_Louise","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"rank":{"__typename":"Rank","name":"Copper Contributor","color":"333333","rankStyle":"TEXT"},"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-7.svg?time=0"},"id":"user:1724125"},"ForumTopicMessage:message:4006816":{"__typename":"ForumTopicMessage","subject":"SSH connexion failed from Azure DevOps server 2020 agents to REHL9","conversation":{"__ref":"Conversation:conversation:4006816"},"id":"message:4006816","revisionNum":2,"uid":4006816,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:1724125"},"metrics":{"__typename":"MessageMetrics","views":666},"postTime":"2023-12-12T06:52:48.370-08:00","lastPublishTime":"2024-03-05T17:04:01.652-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Hi everyone ! with our new linux REHL9 servers we couldn't connect to them through SSH Service connexion (configured with Private Key/username/password). When we use SSH task in release pipeline we face this error message [error]Échec de la connexion à la machine distante. Vérifiez les détails de la connexion de service SSH. Erreur : Error: All configured authentication methods failed. On REHL9 server rsa-ssh connexion is deprecated and we need to use at least rsa-sha-256 algorithm. Can we do some configurations on Az DevOps server to allow that ? I mean use rsa-sha2-256 (or 512) for ssh communication. Someone have already face this error ? Thank you for your help ! ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"826","kudosSumWeight":0,"repliesCount":1,"readOnly":false,"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98MQ","node":{"__typename":"Tag","id":"tag:Azure DevOps","text":"Azure DevOps","time":"2018-11-13T07:30:21.734-08:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":1,"images":{"__typename":"AssociatedImageConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:4055112":{"__typename":"Conversation","id":"conversation:4055112","topic":{"__typename":"ForumTopicMessage","uid":4055112},"lastPostingActivityTime":"2025-04-10T18:43:03.102-07:00","solved":false},"User:user:2307175":{"__typename":"User","uid":2307175,"login":"Pranav_Ghosh","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"rank":{"__typename":"Rank","name":"Copper Contributor","color":"333333","rankStyle":"TEXT"},"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-1.svg?time=0"},"id":"user:2307175"},"ForumTopicMessage:message:4055112":{"__typename":"ForumTopicMessage","subject":"Ionic command task missing","conversation":{"__ref":"Conversation:conversation:4055112"},"id":"message:4055112","revisionNum":2,"uid":4055112,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:2307175"},"metrics":{"__typename":"MessageMetrics","views":353},"postTime":"2024-02-12T10:41:38.918-08:00","lastPublishTime":"2024-03-05T17:26:39.970-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Has any one encountered this error this morning. This was working fine till Friday. Our pipeline has stopped working and not able to find the ionic command task. \"A task is missing. The pipeline references a task called 'IonicCommand'. This usually indicates the task isn't installed, and you may be able to install it from the Marketplace: https://marketplace.visualstudio.com. (Task version 1, j)\" ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"419","kudosSumWeight":1,"repliesCount":1,"readOnly":false,"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98MQ","node":{"__typename":"Tag","id":"tag:Azure DevOps","text":"Azure DevOps","time":"2018-11-13T07:30:21.734-08:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":1,"images":{"__typename":"AssociatedImageConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:4061145":{"__typename":"Conversation","id":"conversation:4061145","topic":{"__typename":"ForumTopicMessage","uid":4061145},"lastPostingActivityTime":"2025-04-10T17:21:05.794-07:00","solved":false},"User:user:2187244":{"__typename":"User","uid":2187244,"login":"JGedney","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"rank":{"__typename":"Rank","name":"Copper Contributor","color":"333333","rankStyle":"TEXT"},"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-8.svg?time=0"},"id":"user:2187244"},"ForumTopicMessage:message:4061145":{"__typename":"ForumTopicMessage","subject":"I am running into an issue trying to install 2022.1 RTW","conversation":{"__ref":"Conversation:conversation:4061145"},"id":"message:4061145","revisionNum":3,"uid":4061145,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:2187244"},"metrics":{"__typename":"MessageMetrics","views":309},"postTime":"2024-02-19T06:42:19.873-08:00","lastPublishTime":"2024-03-05T17:27:43.746-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" When I try to upgrade my Azure DevOps 2022.1 RC to Azure DevOps 2022.1 RTW it takes a VERY LONG TIME, and ultimately stops with an error, but the error is not useful \"the intallation did not complete sucessfully\". yet, when I look at the installer logs I see the following dd_devops_server_20240218201745_001_devops_serverCore: MSI (s) (D4:90) [20:33:50:520]: Product: AzureDevOpsCore2022.1 -- Installation completed successfully.\n\nMSI (s) (D4:90) [20:33:50:521]: Windows Installer installed the product. Product Name: AzureDevOpsCore2022.1. Product Version: 19.225.34309. Product Language: 1033. Manufacturer: Microsoft Corporation. Installation success or error status: 0. dd_devops_server_20240218201745_002_devops_serverWeb: MSI (s) (D4:98) [21:15:09:936]: Product: AzureDevOpsWeb2022.1 -- Installation completed successfully.\n\nMSI (s) (D4:98) [21:15:09:937]: Windows Installer installed the product. Product Name: AzureDevOpsWeb2022.1. Product Version: 19.225.34309. Product Language: 1033. Manufacturer: Microsoft Corporation. Installation success or error status: 0. Why am I getting an error? ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"1177","kudosSumWeight":0,"repliesCount":1,"readOnly":false,"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98MQ","node":{"__typename":"Tag","id":"tag:Azure DevOps","text":"Azure DevOps","time":"2018-11-13T07:30:21.734-08:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":1,"images":{"__typename":"AssociatedImageConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:4402541":{"__typename":"Conversation","id":"conversation:4402541","topic":{"__typename":"ForumTopicMessage","uid":4402541},"lastPostingActivityTime":"2025-04-10T02:07:01.233-07:00","solved":false},"User:user:1727754":{"__typename":"User","uid":1727754,"login":"ani_ms_emea","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"rank":{"__typename":"Rank","name":"Microsoft","color":"333333","rankStyle":"OUTLINE"},"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-11.svg?time=0"},"id":"user:1727754"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyNTQxLVppZ1Nnbw?revision=10\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyNTQxLVppZ1Nnbw?revision=10","title":"image.png","associationType":"BODY","width":841,"height":935,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyNTQxLU9uUGFrTA?revision=10\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyNTQxLU9uUGFrTA?revision=10","title":"image.png","associationType":"BODY","width":465,"height":37,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyNTQxLU9QREVPVw?revision=10\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyNTQxLU9QREVPVw?revision=10","title":"image.png","associationType":"BODY","width":1902,"height":90,"altText":""},"ForumTopicMessage:message:4402541":{"__typename":"ForumTopicMessage","subject":"Azure Event Grid CLI Identity Gaps & Workarounds with Python REST and ARM Templates","conversation":{"__ref":"Conversation:conversation:4402541"},"id":"message:4402541","revisionNum":10,"uid":4402541,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:1727754"},"metrics":{"__typename":"MessageMetrics","views":87},"postTime":"2025-04-09T10:05:07.381-07:00","lastPublishTime":"2025-04-10T02:07:01.233-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Azure Event Grid has become a cornerstone service for building event-driven architectures in the cloud. It provides a scalable event routing service that enables reactive programming patterns, connecting event sources to event handlers seamlessly. However, when working with Event Grid through the Azure CLI, developers often encounter a significant limitation: the inability to configure system-assigned managed identities using CLI commands. \n In this blog post, I'll explore this limitation and provide practical workarounds using Python REST API calls and ARM templates with CLI to ensure your Event Grid deployments can leverage the security benefits of managed identities without being blocked by tooling constraints. \n Problem Statement: \n Unlike many other Azure resources that support the --identity or ---assign-identity parameter for enabling system-assigned managed identities, Event Grid's CLI commands lack this capability while creating event subscription for system topic at the moment. This means that while the Azure Portal and other methods support managed identities for Event Grid, you can't configure them directly through the CLI in case of system topic event subscriptions \n \n For example you can add managed identity for delivery through portal but not through AZ CLI: \n \n \n \n If you try to use the following CLI command: \n az eventgrid system-topic event-subscription create \\ --name my-sub \\ --system-topic-name my-topic \\ --resource-group my-rg \\ --endpoint <EH resource id> --endpoint-type eventhub \\ --identity systemassigned \n You'll run into a limitation: \n The --identity flag is not supported or unrecognized for system topic subscriptions in Azure CLI. \n Also, --delivery-identity is in preview and under development \n \n \n \n Current Status of This Limitation: \n It's worth noting that this limitation has been recognized by the Azure team. There is an official GitHub feature request tracking this issue, which you can find at Use managed identity to command creates an event subscription for an event grid system topic · Issue #26910 · Azure/azure-cli. Before implementing any of the workarounds described in this article, I recommend checking the current status of this feature request. The Azure CLI is continuously evolving, and by the time you're reading this, the limitation might have been addressed. \n However, as of April 2025, this remains a known limitation in the Azure CLI, necessitating the alternative approaches outlined below. \n Why This Matters: \n This limitation becomes particularly problematic in CI/CD pipelines or Infrastructure as Code (IaC) scenarios where you want to automate the deployment of Event Grid resources with managed identities. \n Solution 1: Using Azure REST API with Python request library: \n The first approach to overcome this limitation is to use the Azure REST API with Python. This provides the most granular control over your Event Grid resources and allows you to enable system-assigned managed identities programmatically. \n \n System Topic Event Subscriptions - Create Or Update - REST API (Azure Event Grid) | Microsoft Learn \n \n You can retrieve Azure Entra token using below CLI command: \n az account get-access-token \n \n Sample working code & payload: \n \n import requests\nimport json\n\nsubscription_id = <>\nresource_group = <>\nsystem_topic_name = <>\nevent_subscription_name = <>\nevent_hub_resource_id = <>\n\n\naccess_token = <>\n\n\nurl = f\"https://management.azure.com/subscriptions/{subscription_id}/resourceGroups/{resource_group}/providers/Microsoft.EventGrid/systemTopics/{system_topic_name}/eventSubscriptions/{event_subscription_name}?api-version=2024-12-15-preview\"\n\n\npayload = {\n \"identity\": {\n \"type\": \"SystemAssigned\"\n },\n \"properties\": {\n\t\t\"topic\": \"/subscriptions/<>/resourceGroups/<>/providers/Microsoft.EventGrid/systemTopics/<>\",\n\t\t\"filter\": {\n\t\t\t\"includedEventTypes\": [\n\t\t\t\t\"Microsoft.Storage.BlobCreated\",\n\t\t\t\t\"Microsoft.Storage.BlobDeleted\"\n\t\t\t],\n\t\t\t\"advancedFilters\": [],\n\t\t\t\"enableAdvancedFilteringOnArrays\": True\n\t\t},\n\t\t\"labels\": [],\n\t\t\"eventDeliverySchema\": \"EventGridSchema\",\n\t\t\"deliveryWithResourceIdentity\": {\n\t\t\t\"identity\": {\n\t\t\t\t\"type\": \"SystemAssigned\"\n\t\t\t},\n\t\t\t\"destination\": {\n\t\t\t\t\"endpointType\": \"EventHub\",\n\t\t\t\t\"properties\": {\n\t\t\t\t\t\"resourceId\": \"/subscriptions/<>/resourceGroups/rg-sch/providers/Microsoft.EventHub/namespaces/<>/eventhubs/<>\",\n\t\t\t\t\t\"deliveryAttributeMappings\": [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\"name\": \"test\",\n\t\t\t\t\t\t\t\"type\": \"Static\",\n\t\t\t\t\t\t\t\"properties\": {\n\t\t\t\t\t\t\t\t\"value\": \"test\",\n\t\t\t\t\t\t\t\t\"isSecret\": False,\n\t\t\t\t\t\t\t\t\"sourceField\": \"\"\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t},\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\"name\": \"id\",\n\t\t\t\t\t\t\t\"type\": \"Dynamic\",\n\t\t\t\t\t\t\t\"properties\": {\n\t\t\t\t\t\t\t\t\"value\": \"abc\",\n\t\t\t\t\t\t\t\t\"isSecret\": False,\n\t\t\t\t\t\t\t\t\"sourceField\": \"data.key\"\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t]\n\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t}\n}\n\n\n\n\nheaders = {\n \"Authorization\": f\"Bearer {access_token}\",\n \"Content-Type\": \"application/json\"\n}\n\n\nresponse = requests.put(url, headers=headers, data=json.dumps(payload))\n\n\nif response.status_code in [200, 201]:\n print(\"Event subscription created successfully!\")\n\n \n \n Remember that these tokens are sensitive security credentials, so handle them with appropriate care. They should never be exposed in logs, shared repositories, or other insecure locations. \n \n Solution 2: Using ARM Templates & deploying it through CLI \n Another solution is to use Azure Resource Manager (ARM) templates, which fully support system-assigned managed identities for Event Grid. This approach works well in existing IaC workflows. \n Microsoft.EventGrid/systemTopics/eventSubscriptions - Bicep, ARM template & Terraform AzAPI reference | Microsoft Learn \n Here's a sample ARM template that creates an Event Grid topic with a system-assigned managed identity: \n {\n \"$schema\": \"https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#\",\n \"contentVersion\": \"1.0.0.0\",\n \"parameters\": {\n \"systemTopicName\": {\n \"type\": \"string\",\n \"metadata\": {\n \"description\": \"Name of the existing system topic\"\n }\n },\n \"eventSubscriptionName\": {\n \"type\": \"string\",\n \"metadata\": {\n \"description\": \"Name of the event subscription to create\"\n }\n },\n \"eventHubResourceId\": {\n \"type\": \"string\",\n \"metadata\": {\n \"description\": \"Resource ID of the Event Hub to send events to\"\n }\n },\n \"includedEventType\": {\n \"type\": \"string\",\n \"defaultValue\": \"Microsoft.Storage.BlobCreated\",\n \"metadata\": {\n \"description\": \"Event type to filter on\"\n }\n }\n },\n \"resources\": [\n {\n \"type\": \"Microsoft.EventGrid/systemTopics/eventSubscriptions\",\n \"apiVersion\": \"2024-06-01-preview\",\n \"name\": \"[format('{0}/{1}', parameters('systemTopicName'), parameters('eventSubscriptionName'))]\",\n \"identity\": {\n \"type\": \"SystemAssigned\"\n },\n \"properties\": {\n \"deliveryWithResourceIdentity\": {\n \"destination\": {\n \"endpointType\": \"EventHub\",\n \"properties\": {\n \"resourceId\": \"[parameters('eventHubResourceId')]\"\n }\n },\n \"identity\": {\n \"type\": \"SystemAssigned\"\n }\n },\n \"eventDeliverySchema\": \"EventGridSchema\",\n \"filter\": {\n \"includedEventTypes\": [\n \"[parameters('includedEventType')]\"\n ]\n }\n }\n }\n ]\n}\n \n \n How to deploy via Azure CLI: \n az deployment group create \\ --resource-group <your-resource-group> \\ --template-file eventgridarmtemplate.json \\ --parameters \\ systemTopicName=<system-topic-name> \\ eventSubscriptionName=<event-subscription-name> \\ eventHubResourceId=\"/subscriptions/<sub>/resourceGroups/<rg>/providers/Microsoft.EventHub/namespaces/<namespace>/eventhubs/<hub>\" \n \n \n \n Disclaimer \n The sample scripts provided in this article are provided AS IS without warranty of any kind. The author is not responsible for any issues, damages, or problems that may arise from using these scripts. Users should thoroughly test any implementation in their environment before deploying to production. Azure services and APIs may change over time, which could affect the functionality of the provided scripts. Always refer to the latest Azure documentation for the most up-to-date information. \n \n Thanks for reading this blog! I hope you've found these workarounds valuable for addressing the Event Grid identity parameter limitation in Azure CLI. \n \n 😊 ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"9177","kudosSumWeight":3,"repliesCount":0,"readOnly":false,"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":true,"endCursor":"MjUuMXwyLjF8b3w1fF9OVl98NQ","hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98MQ","node":{"__typename":"Tag","id":"tag:azure","text":"azure","time":"2016-09-06T09:34:09.130-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98Mg","node":{"__typename":"Tag","id":"tag:Azure CLI","text":"Azure CLI","time":"2019-05-01T13:56:09.978-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98Mw","node":{"__typename":"Tag","id":"tag:azure deployment environments","text":"azure deployment environments","time":"2024-08-07T04:55:06.159-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98NA","node":{"__typename":"Tag","id":"tag:Azure Developer","text":"Azure Developer","time":"2019-04-25T12:17:29.227-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98NQ","node":{"__typename":"Tag","id":"tag:azure developer cli","text":"azure developer cli","time":"2023-09-13T08:40:09.314-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":5,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyNTQxLVppZ1Nnbw?revision=10\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyNTQxLU9uUGFrTA?revision=10\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyNTQxLU9QREVPVw?revision=10\"}"}}],"totalCount":3,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:4402345":{"__typename":"Conversation","id":"conversation:4402345","topic":{"__typename":"ForumTopicMessage","uid":4402345},"lastPostingActivityTime":"2025-04-09T02:34:15.804-07:00","solved":false},"User:user:2982888":{"__typename":"User","uid":2982888,"login":"Aditya_vp","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"rank":{"__typename":"Rank","name":"Copper Contributor","color":"333333","rankStyle":"TEXT"},"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0yOTgyODg4LWdTVUdqVA?image-coordinates=0%2C0%2C2448%2C2448"},"id":"user:2982888"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyMzQ1LWh3bDFQRQ?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyMzQ1LWh3bDFQRQ?revision=1","title":"billing.png","associationType":"BODY","width":2970,"height":2369,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyMzQ1LWVjVlZiTw?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyMzQ1LWVjVlZiTw?revision=1","title":"cost analysis.png","associationType":"BODY","width":2370,"height":1770,"altText":""},"ForumTopicMessage:message:4402345":{"__typename":"ForumTopicMessage","subject":"Mastering Azure Cost Management: Essential Tools for Cloud Financial Control in 2025","conversation":{"__ref":"Conversation:conversation:4402345"},"id":"message:4402345","revisionNum":1,"uid":4402345,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:2982888"},"metrics":{"__typename":"MessageMetrics","views":48},"postTime":"2025-04-09T02:34:15.804-07:00","lastPublishTime":"2025-04-09T02:34:15.804-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" In today's cloud-first world, effective cost management isn't just about saving money—it's about strategic resource allocation that drives business value. Azure Cost Management provides powerful tools to monitor, analyze, and optimize your cloud spending, ensuring you get maximum ROI from your Microsoft Azure investments. Understanding Azure Cost Management Azure Cost Management is a free suite of tools that provides comprehensive visibility into your cloud spending patterns[7]. It helps you track resource usage, set budgets, and forecast future expenses with precision. This isn't just about cutting costs; it's about smart spending and strategic resource allocation that can give your organization a competitive edge. The platform offers detailed breakdowns of your expenses across various services and resources, allowing you to identify optimization opportunities and make informed decisions about your cloud infrastructure[9]. Key Features That Drive Value Cost Analysis: Your Financial Dashboard The Cost Analysis section provides detailed insights into your Azure spending patterns[2]. This interactive tool allows you to: - View cost trends by day, week, month, or custom time periods - Identify spending patterns and understand cost fluctuations - Detect anomalies or unexpected spikes in your Azure costs For optimal visibility, configure your cost analysis with **Daily** time granularity and **Resource** grouping. This combination provides the most detailed view of your cloud spending, allowing you to identify specific resources driving your costs and make informed decisions about their value. Budgets and Alerts: Stay Ahead of Spending Setting up budgets should be one of your first actions when establishing a new Azure subscription[2]. The Budgets feature allows you to: - Create and manage spending thresholds - Receive email alerts when costs approach budget limits - Get notifications when forecasted spending indicates potential overages This proactive approach helps prevent unexpected charges and enables timely intervention before costs escalate. Advisor Recommendations: Expert Optimization Guidance Azure Cost Management integrates with Azure Advisor to provide personalized cost optimization recommendations[2], such as: - Resizing or shutting down underutilized resources - Leveraging reserved instances for consistent workloads - Modifying service configurations for better cost efficiency As a best practice, regularly check these recommendations to identify new optimization opportunities. What's New in 2025 Microsoft continues to enhance the Cost Management platform with new features. Recent updates include: - New fields for cost allocation for Enterprise Agreement customers[5] - Copilot nudges for proactive cost optimization[5][12] - Introduction of an open data billing format[5] - AI-enhanced cost insights and automation[1] - Improved cost allocation with tag inheritance[1] - Sustainable cloud operations with the Azure Carbon Optimization tool[1] - Expansion of savings plans and reservation models[1] Best Practices for Azure Cost Optimization 1. Right size Your Resources Monitor utilization patterns and adjust your VM sizes based on actual requirements rather than theoretical maximums[3]. Downsizing overprovisioned VMs is one of the most effective ways to reduce Azure expenses[1]. 2. Implement Autoscaling Solutions Autoscaling adjusts the number of compute resources in response to load, maintaining performance without over-provisioning[1]. It ensures only necessary resources are active, directly reducing operational costs. 3. Leverage Azure Reservations and Savings Plans Azure Reservations and Savings Plans offer reduced pricing for predictable workloads by committing to longer terms[1]. They provide substantial savings compared to pay-as-you-go rates and are suitable for workloads with stable requirements. 4. Use Azure Hybrid Benefit Azure Hybrid Benefit allows users to bring their existing on-premise Windows Server and SQL Server licenses to Azure, reducing licensing costs[1]. This is particularly beneficial for enterprises transitioning to hybrid cloud environments. 5. Implement Resource Tagging Use resource tags to categorize your Azure resources according to your organizational structure[2]. This enables precise cost allocation and helps teams understand their cloud spending, fostering accountability across departments and projects. Benefits of Effective Cost Management Organizations that master Azure Cost Management experience several key benefits[10]: - Transparency: Clear visibility into cloud spending enables informed decision-making - Automation: Streamlined financial operations with reduced manual interventions - Budgeting and Forecasting: Accurate planning of cloud expenses prevents surprises - Cost Allocation: Proper distribution of costs to specific departments ensures accountability -Optimization Recommendations: Actionable insights to reduce costs by identifying underutilized resources Conclusion As cloud adoption accelerates, mastering Azure Cost Management becomes increasingly critical for organizational success. By leveraging these tools and following best practices, you can transform your Azure strategy from a financial burden to a catalyst for growth and innovation. Remember that effective cost management isn't just about reducing expenses—it's about maximizing the value of every dollar spent in the cloud, ensuring your Azure investments align perfectly with your business objectives. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"5594","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98MQ","node":{"__typename":"Tag","id":"tag:App Services","text":"App Services","time":"2016-12-13T10:03:44.043-08:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98Mg","node":{"__typename":"Tag","id":"tag:azure","text":"azure","time":"2016-09-06T09:34:09.130-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98Mw","node":{"__typename":"Tag","id":"tag:Azure Cost","text":"Azure Cost","time":"2022-10-30T08:03:37.149-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":3,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyMzQ1LWh3bDFQRQ?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAyMzQ1LWVjVlZiTw?revision=1\"}"}}],"totalCount":2,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:4363139":{"__typename":"Conversation","id":"conversation:4363139","topic":{"__typename":"ForumTopicMessage","uid":4363139},"lastPostingActivityTime":"2025-04-08T07:32:59.397-07:00","solved":false},"User:user:2848910":{"__typename":"User","uid":2848910,"login":"sphia_james_01102","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"rank":{"__typename":"Rank","name":"Copper Contributor","color":"333333","rankStyle":"TEXT"},"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-6.svg?time=0"},"id":"user:2848910"},"ForumTopicMessage:message:4363139":{"__typename":"ForumTopicMessage","subject":"From Doubt to Victory: How I Passed Microsoft SC-200","conversation":{"__ref":"Conversation:conversation:4363139"},"id":"message:4363139","revisionNum":1,"uid":4363139,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:2848910"},"metrics":{"__typename":"MessageMetrics","views":487},"postTime":"2025-01-06T07:38:46.529-08:00","lastPublishTime":"2025-01-06T07:38:46.529-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Hey everyone! I wanted to share my journey of how I went from doubting my chances to successfully passing the Microsoft SC-200 exam. At first, the idea of taking the SC-200 seemed overwhelming. With so many topics to cover, especially with the integration of Microsoft security technologies, I wasn’t sure if I could pull it off. But after months of studying and staying consistent, I finally passed! 🎉 Here’s what worked for me: Study Plan: I created a structured study schedule and stuck to it. I broke down each section of the exam objectives and allocated time for each part. Authentic Exam Questions: I used it-examstest for practice exams. Their realistic test format helped me get a good grasp of the exam pattern. Plus, the explanations for the answers were super helpful in understanding the concepts. Practice Exams: I did multiple mock tests. Honestly, they helped me more than I expected! They boosted my confidence, and I could pinpoint areas where I needed to improve. SC-200 Study Materials: I relied on a combination of online courses, books, and video resources. Watching the study videos and taking notes helped me retain the information better. Don’t Cram: I didn’t leave things to the last minute. It took me about 2-3 months of consistent study to get comfortable with the material. I made sure to take breaks and not burn myself out. Passing this exam felt amazing! If you're in the same boat and feeling uncertain, just stick with it! It’s a challenging exam, but with the right tools and preparation, you can do it. Keep pushing forward, and good luck to everyone! 💪 Would be happy to answer any questions if anyone has them! ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"1665","kudosSumWeight":0,"repliesCount":3,"readOnly":false,"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98MQ","node":{"__typename":"Tag","id":"tag:analytics","text":"analytics","time":"2016-07-14T23:53:24.154-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}},{"__typename":"TagEdge","cursor":"MjUuMXwyLjF8b3w1fF9OVl98Mg","node":{"__typename":"Tag","id":"tag:Microsoft Security Operations Analyst","text":"Microsoft Security Operations Analyst","time":"2024-09-22T22:56:36.300-07:00","lastActivityTime":null,"messagesCount":null,"followersCount":null}}]},"timeToRead":2,"images":{"__typename":"AssociatedImageConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:4401862":{"__typename":"Conversation","id":"conversation:4401862","topic":{"__typename":"ForumTopicMessage","uid":4401862},"lastPostingActivityTime":"2025-04-08T00:12:34.618-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxODYyLVBJR1lvVw?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxODYyLVBJR1lvVw?revision=1","title":"AI servicies flow.png","associationType":"BODY","width":3060,"height":2526,"altText":""},"ForumTopicMessage:message:4401862":{"__typename":"ForumTopicMessage","subject":"Understanding Azure AI Services: Navigating the Confusion","conversation":{"__ref":"Conversation:conversation:4401862"},"id":"message:4401862","revisionNum":1,"uid":4401862,"depth":0,"board":{"__ref":"Forum:board:Azure"},"author":{"__ref":"User:user:2982888"},"metrics":{"__typename":"MessageMetrics","views":60},"postTime":"2025-04-08T00:12:34.618-07:00","lastPublishTime":"2025-04-08T00:12:34.618-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Azure AI Services offers powerful capabilities for integrating artificial intelligence into applications, but the structure and relationships between different services can be confusing. This guide clarifies the Azure AI ecosystem based on hands-on exploration and provides solutions to common issues. The Azure AI Services Ecosystem Azure's AI offerings are organized into several key services, each with specific purposes: 1. Azure AI Search (formerly Azure Cognitive Search) Purpose: Provides search capabilities for databases, including vector databases. Key Features: Requires an embedding model (like OpenAI Ada) for vector search Provides database storage for searchable content Offers multiple search algorithms: hybrid, semantic, or vector-based Common Issues & Solutions: When using AI Search with cognitive skills, you might encounter throttling errors when too many skills execute in parallel For throttling issues, consider using the SearchIndexingBufferedSender for automatic retry or reset and rerun the indexer Invalid skill inputs can cause warnings like \"Skill input was invalid\" - ensure required inputs like text and languageCode are properly provided 2. Azure AI Services (the service itself) Purpose: Provides a collection of AI capabilities including text, audio, and visual processing. Key Features: Creates text, audio, and visual model services Includes access to an AI Foundry portal with limited models (62 chat completion models) Confusion Point: Despite mentioning text, audio, and visual capabilities, the AI Foundry portal accessed through this service only provides 62 chat completion models, creating a disconnect between service description and actual capabilities. 3. Azure OpenAI Service Purpose: Provides access to OpenAI models within Azure's secure environment. Key Features: Dedicated to OpenAI models specifically Enterprise-grade security and compliance Best Practices: Use provisioned throughput (PTU) for production workloads to avoid \"noisy neighbor\" problems like increased latency and throttling Consider implementing streaming for applications like chatbots to enhance perceived performance Use dedicated model deployments per consumer group to provide usage isolation 4. Azure AI Foundry Purpose: Provides comprehensive access to AI models and capabilities. Key Features: Access to 1800+ models across various categories Automatically creates resources for speech, vision, etc. Architecture: Built on capabilities provided by other Azure services Has a hub-project structure where the hub is the top-level resource Understanding the Confusion Points Different Foundry Access Points with Varying Model Availability One of the most confusing aspects is that there are multiple ways to access AI Foundry with significantly different model availability: Azure AI Services Foundry: Only provides access to 62 chat completion models Azure OpenAI Resource Foundry: Only provides access to OpenAI models Azure AI Foundry Resource Foundry: Provides access to all 1800+ models Hub vs. Project Structure The Azure AI Foundry portal has two levels of access: Hub: Home to infrastructure (virtual network setup, managed keys, identities, policies) Project: Workspaces that allow you to build and deploy AI systems This structure allows developers to create projects that inherit hub security settings, but contributes to confusion about where resources are created and accessed. Common Issues and Solutions Access Control Issues Issue: \"Principal doesn't have access to API/Operation\" error when using the Azure AI Foundry portal chat playground Solution: Assign the appropriate roles based on the services you're using: For Azure OpenAI: Cognitive Services OpenAI Contributor and Cognitive Services User role For Azure AI Search: Search Index Data Contributor or Search Index Data Reader roles Storage Access Problems Issue: Unable to access blob storage associated with an AI Foundry hub despite being the owner Solution: Turn on system-assigned managed identity for the AI service Use RBAC to assign the storage blob data contributor role to the managed identity Wait for role assignments to propagate (can take minutes to an hour) Private Endpoint Connection Issues Issue: 403 errors or \"access forbidden\" messages when connecting to an Azure AI Foundry project with a private endpoint Solution: Check proxy configurations that might prevent communication Ensure your proxy allows connections to AML APIs Verify network settings of the storage account associated with your hub Deployment Troubleshooting Issue: \"Use of Azure OpenAI models in Azure Machine Learning requires Azure OpenAI Services resources\" Solution: This error means you might not have access to the particular Azure OpenAI model in your subscription or region Issue: \"Out of quota\" errors Solution: Review and manage quotas for: Deploying and inferencing models Azure OpenAI Service Resources with Azure AI Foundry Conclusion Understanding the structure of Azure AI Services helps navigate the platform more effectively. While the naming conventions can be confusing (particularly with \"Azure AI Services\" being both a parent category and a specific service), each component serves specific purposes in the AI development ecosystem. For most comprehensive AI projects, start with Azure AI Foundry for the broadest access to models and capabilities, then integrate with other services like Azure AI Search as needed for specific functionality. 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