Announcing the Public Preview of the Applications feature in Azure API management
API Management now supports built-in OAuth 2.0 application-based access to product APIs using the client credentials flow. This feature allows API managers to register Microsoft Entra ID applications, streamlining secure API access for developers through OAuth 2.0 authorization. API publishers and developers can now more effectively manage client identity, access, and authorization flows. With this feature: API managers can identify which products require OAuth authorization by setting a product property to enable application-based access API managers can create and manage client applications and assign them access to specific products. Developers can see their registered applications in API management developer portal and use OAuth tokens to securely call APIs and products OAuth tokens presented in API requests are validated by the API Management gateway to authorize access to the product's APIs. This feature simplifies identity and access management in API programs, enabling a more secure and scalable approach to API consumption. Enable OAuth authorization API managers can now identify specific products which are protected by Microsoft Entra identity by enabling "Application based access". This ensures that only valid client applications which have a secure OAuth token from Microsoft Entra identity can access the APIs associated with this product. An application is created in Microsoft Entra corresponding to the product, with appropriate app role. Register client applications and assign products API managers can register client applications, identify specific developers as owners of these applications and assign products to these applications. This creates a new application in Microsoft Entra and assigns API permissions to access the product. Securely access the API using client applications Developers can login into API management developer portal and see the appropriate applications assigned to them. They can retrieve the application credentials and call Microsoft Entra to get an OAuth token, use this token to call APIM gateway and securely access the product/API. Preview limitations The public preview of the Applications is a limited-access feature. To participate in the preview and enable Applications in your APIM service instance, you must complete a request form. The Azure API Management team will review your request and respond via email within five business days. Learn more Securely access product APIs with Microsoft Entra applicationsEnforce or Audit Policy Inheritance in API Management
We’re excited to announce a new Azure Policy definition that lets you enforce or audit policy inheritance in Azure API Management. With this capability, platform and governance teams can ensure that API Management policies are always inherited across all policy scopes — operations, APIs, products, and workspaces — strengthening consistency, compliance, and security across your API estate. Why this matters In Azure API Management, the <base /> policy element plays a critical role: it ensures that a runtime policy inherits policies defined at a higher scope, such as product, workspace, or all APIs (global). Without <base />, developers can inadvertently (or intentionally) bypass important platform rules, for example: Security controls like authentication or IP restrictions Operational requirements such as logging, tracing, or rate-limiting Business policies such as quota enforcement The result can be inconsistent behavior, compliance drift, and gaps in governance. How the new policy helps With the new Azure Policy definition, you can automatically ensure that <base /> is located at the start of each API Management policy section — <inbound>, <outbound>, <backend>, and <on-error> — across policies configured on operations, APIs, products, and workspaces. You can set the effect parameter to: Audit: Identify operation, API, product, or workspace policies where <base /> is missing. Deny: Prevent deployment of policies that do not include <base />. Get started To enable this new Azure Policy definition: Navigate to Azure Policy in the Azure portal. Select “Definitions” from the menu and choose “API Management policies should inherit parent scope policies using <base />”. In the policy definition view, select “Assign”. Configure the policy assignment scope, parameter (audit or deny), and other details. View built-in Azure Policy definitions for API Management.Update To API Management Workspaces Breaking Changes: Built-in Gateway & Tiers Support
What’s changing? If your API Management service uses preview workspaces on the built-in gateway and meets the tier-based limits below, those workspaces will continue to function as-is and will automatically transition to general availability once built-in gateway support is fully announced. API Management tier Limit of workspaces on built-in gateway Premium and Premium v2 Up to 30 workspaces Standard and Standard v2 Up to 5 workspaces Basic and Basic v2 Up to 1 workspace Developer Up to 1 workspace Why this change? We introduced the requirement for workspace gateways to improve reliability and scalability in large, federated API environments. While we continue to recommend workspace gateways, especially for scenarios that require greater scalability, isolation, and long-term flexibility, we understand that many customers have established workflows using the preview workspaces model or need workspaces support in non-Premium tiers. What’s not changing? Other aspects of the workspace-related breaking changes remain in effect. For example, service-level managed identities are not available within workspaces. In addition to workspaces support on the built-in gateway described in the section above, Premium and Premium v2 services will continue to support deploying workspaces with workspace gateways. Resources Workspaces in Azure API Management Original breaking changes announcements Reduced tier availability Requirement for workspace gateways
C# MIP SDK v1.17.x - AccessViolationException on creation of MIPContext in 64-bit console app
I first logged this on https://stackoverflow.com/questions/79746967/accessviolationexception-when-creating-mipcontext-after-upgrade-to-v1-17 and the responses there have indicated I should raise with Microsoft a a likely bug, but I don't see a clear route to reporting other than here so any response would be appreciated, even if just to direct me to the appropriate reporting location. I've built a simple console app that demonstrates this issue that I'm happy to provide but we're seeing an issue with the 1.17.x version of the C# MIP SDK where an AccessViolationException is being thrown when trying to create an MIP context object. This is for a .Net Framework 4.8 console app built in 64-bit configuration, deployed to a Windows Server 2016 with the latest VC++ redistributable (14.44.35211) installed (both x86 and x64 versions), though we've seen the same on Windows Server 2019 and 2022. When the same app is built in 32-bit and deployed to the same environment the exception doesn't occur. The following code is what I've used to repro the issue: MIP.Initialize(MipComponent.File); var appInfo = new ApplicationInfo { ApplicationId = string.Empty, ApplicationName = string.Empty, ApplicationVersion = string.Empty }; var diagnosticConfiguration = new DiagnosticConfiguration { IsMinimalTelemetryEnabled = true }; var mipConfiguration = new MipConfiguration(appInfo, "mip_data", LogLevel.Info, false, CacheStorageType.InMemory) { DiagnosticOverride = diagnosticConfiguration }; //Expect BadInputException here due to empty properties of appInfo //When built as part of a 64-bit console app this causes AccessViolationException instead MIP.CreateMipContext(mipConfiguration); The AccessViolationException crashes the console app, with the following logged in the Windows Event Log: Framework Version: v4.0.30319 Description: The process was terminated due to an unhandled exception. Exception Info: System.AccessViolationException at Microsoft.InformationProtection.Internal.SdkWrapperPINVOKE.MipContext_Create__SWIG_1(System.Runtime.InteropServices.HandleRef) at Microsoft.InformationProtection.Internal.MipContext.Create(Microsoft.InformationProtection.Internal.MipConfiguration) at Microsoft.InformationProtection.Utils.MIPHelper.CreateMipContext(Microsoft.InformationProtection.MipConfiguration) The issue doesn't occur with the latest 1.16 version (1.16.149) of the SDK but does appear to be in all versions of the 1.17 release. Library: C# MIP SDK v1.17.x Target App: .Net Framework 4.8 console app Deployed OS: Windows Server 2016, 2019 and 2022 (With .Net Framework 4.8 and latest VC++ redist installed)
Slow download speed using GRAPH api
I wanted to start a little discussion because I can't find any information about my issue with download speed of GRAPH api. So Let's start with some information that I have a python app that connect to my One drive Business. I have there two folders with pdf's one is about 70k and one is 7k. I connect to them successfully. I know that this API has some limitation with the amount it can download on one request but still I think it is not fault but my and lack of knowledge. The biggest problem is when I use some search feature in my app that requires searching a specific file(it just freeze my whole app). I make all communication inside my python code and I don't see any room to further optimization. I will just mention that this is my first time working with API and clearly don't know where to ask for any help.
The requesting principal is not authorized to set group preferred data location
We have our tenant with 4 Geo locations. And inside power automate flow I am sending this Graph Api to create a new security group under specific Geo location:- but I am getting this error:- The requesting principal is not authorized to set group preferred data location. Now if i remove this parameter:- "preferredDataLocation": "AUS", the Office 365 group will get created under the default location, but I need to add it to the specific location. the service account running the graph Api call has SharePoint, group and teams admin permissions. any advice? ThanksColumn-Level Lineage Visualization Issue for Custom Entities and Processes in Azure Purview
I’m trying to implement column-level lineage for data assets and custom transformation processes in Azure Purview using the Atlas API. I have defined custom typedefs for tables (yellowbrick_table), columns (column), and a process type (custom_data_transformation_process), and I’m uploading entities with composition relationships and detailed column mappings. Although the generated JSON and typedefs appear to be correct according to the Apache Atlas documentation, I’m unable to get the column-level lineage to display properly in the Purview UI Specific Issues: 1. Missing 'Schema' tab in custom table entities (yellowbrick_table): When navigating to the detail page of a yellowbrick_table entity, the 'Schema' tab — where the contained columns should be listed — does not appear. 2. Missing 'Switch to column lineage' button in the lineage view of custom processes: In the 'Lineage' tab of a custom_data_transformation_process entity, the side panel titled 'Columns' displays "No mapped columns found," and there is no button or option to switch to column-level lineage view. This happens even when the columnMapping attribute is correctly populated in the process entity. 3. Error message when trying to edit column mappings in the process lineage panel: If I attempt to edit the column mapping in the lineage side panel of the process, I receive the error: "Unable to map columns for this asset. It's a process type asset that doesn't have a schema." (This is expected, as processes don’t have schemas, but it confirms that the UI is not interpreting the columnMapping for visualization purposes.) Context and Steps Taken: I have followed the Apache Atlas documentation and modeling patterns for lineage: Typedef column: Defined with superTypes: ["Referenceable"]. RelationshipDef table_columns: Defined as a COMPOSITION between DataSet (extended by yellowbrick_table) and column, with cardinality: SET on the column side. Typedef yellowbrick_table: Contains an attribute columns with typeName: "array<column>" and relationshipTypeName: "table_columns". Typedef custom_data_transformation_process: Extends from Process and includes a columnMapping attribute of typeName: "array<string>". Entities Uploaded (JSON): * Table entities include complete definitions of their nested columns in the columns attribute. * Process entities include the columnMapping attribute as a list of JSON strings, where each string represents a DatasetMapping with a nested ColumnMapping that uses only the column names (e.g., "Source": "COLUMN_NAME"). * I’ve tested with different browsers Despite these efforts, the issue persists. I would like to know if there are any additional requirements or known behaviors in the Purview UI regarding column lineage visualization for custom types. Specific Questions: 1. Is there any additional attribute or configuration required in the typedefs or entities to make the 'Schema' tab appear in my custom table entities? 2. Are there any specific requirements for the qualifiedName of tables or columns that could be preventing the column-level lineage from being visualized? 3. Could there be a known issue or limitation in the Purview UI regarding column-level lineage rendering for user-defined asset types? 4. Is there any way to verify on the Purview backend that the column composition relationships and the columnMapping of processes have been correctly indexed?" Annexes: # 1. Define the 'column' type # Ensure the superType for 'column' is 'Referenceable' typedef_payload_column = { "entityDefs": [{ "category": "ENTITY", "name": "column", "description": "Columna lógica para linaje columna a columna", "typeVersion": "1.0", "superTypes": ["Referenceable"], "attributeDefs": [] }] } # response = requests.post(typedef_url, headers=headers, json=typedef_payload_column) # print(f"Estado typedef column: {response.status_code} ({response.text.strip()[:100]}...)") # 2. Define the explicit relationship 'table_columns' # Ensure that the cardinality of 'endDef2' (columns) is 'SET' typedef_payload_table_columns_relationship = { "relationshipDefs": [ { "category": "RELATIONSHIP", "name": "table_columns", "description": "Relación entre una tabla y sus columnas", "typeVersion": "1.0", "superTypes": ["AtlasRelationship"], "endDef1": { "type": "DataSet", "name": "parentTable", "isContainer": True, "cardinality": "SINGLE", "isLegacyAttribute": False }, "endDef2": { "type": "column", "name": "columns", "isContainer": False, "cardinality": "SET", "isLegacyAttribute": False }, "relationshipCategory": "COMPOSITION", "attributeDefs": [] } ] } # response = requests.post(typedef_url, headers=headers, json=typedef_payload_table_columns_relationship) # print(f"Estado relationshipDef table_columns: {response.status_code} ({response.text.strip()[:100]}...)") # 3. Modify the table's typedef to use this relationship # Ensure the 'columns' attribute on the table points to 'table_columns' typedef_payload_yellowbrick_table = { "entityDefs": [{ "category": "ENTITY", "name": "yellowbrick_table", "description": "Tabla en Yellowbrick", "typeVersion": "1.0", "superTypes": ["DataSet"], "attributeDefs": [ { "name": "columns", "typeName": "array<column>", "isOptional": True, "cardinality": "LIST", "valuesMinCount": 0, "valuesMaxCount": -1, "isUnique": False, "isIndexable": False, "includeInNotification": True, "relationshipTypeName": "table_columns" } ] }] } # response = requests.post(typedef_url, headers=headers, json=typedef_payload_yellowbrick_table) # print(f"Estado typedef yellowbrick_table: {response.status_code} ({response.text.strip()[:100]}...)") # 4. Define the custom process type # Ensure the 'columnMapping' attribute is a string array typedef_payload_process = { "entityDefs": [{ "category": "ENTITY", "name": "custom_data_transformation_process", "description": "Proceso de transformación de datos con linaje de columna (Custom)", "typeVersion": "1.0", "superTypes": ["Process"], "attributeDefs": [ { "name": "columnMapping", "typeName": "array<string>", "isOptional": True, "cardinality": "LIST", "valuesMinCount": 0, "valuesMaxCount": -1 } ] }] } # response = requests.post(typedef_url, headers=headers, json=typedef_payload_process) # print(f"Estado typedef custom_data_transformation_process: {response.status_code} ({response.text.strip()[:100]}...)") example of generated json: [ { "typeName": "yellowbrick_table", "guid": "-105", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn", "name": "TBL8_CONOCIMIENTO_CLIENTE", "description": "Tabla origen: TBL8_CONOCIMIENTO_CLIENTE", "columns": [ { "typeName": "column", "guid": "-336", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn#CUENTA", "name": "CUENTA", "description": "Columna CUENTA de tabla tbl8_conocimiento_cliente", "type": "string", "dataType": "string" } }, { "typeName": "column", "guid": "-338", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn#TIPO_DOCUMENTO", "name": "TIPO_DOCUMENTO", "description": "Columna TIPO_DOCUMENTO de tabla tbl8_conocimiento_cliente", "type": "string", "dataType": "string" } }, { "typeName": "column", "guid": "-340", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn#IDENTIFICACION", "name": "IDENTIFICACION", "description": "Columna IDENTIFICACION de tabla tbl8_conocimiento_cliente", "type": "string", "dataType": "string" } }, { "typeName": "column", "guid": "-342", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn#NOMBRE_1", "name": "NOMBRE_1", "description": "Columna NOMBRE_1 de tabla tbl8_conocimiento_cliente", "type": "string", "dataType": "string" } }, { "typeName": "column", "guid": "-344", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn#APELLIDO_1", "name": "APELLIDO_1", "description": "Columna APELLIDO_1 de tabla tbl8_conocimiento_cliente", "type": "string", "dataType": "string" } }, { "typeName": "column", "guid": "-346", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn#APELLIDO_2", "name": "APELLIDO_2", "description": "Columna APELLIDO_2 de tabla tbl8_conocimiento_cliente", "type": "string", "dataType": "string" } }, { "typeName": "column", "guid": "-348", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn#GENERO", "name": "GENERO", "description": "Columna GENERO de tabla tbl8_conocimiento_cliente", "type": "string", "dataType": "string" } }, { "typeName": "column", "guid": "-349", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn#EDAD", "name": "EDAD", "description": "Columna EDAD de tabla tbl8_conocimiento_cliente", "type": "string", "dataType": "string" } }, { "typeName": "column", "guid": "-350", "attributes": { "qualifiedName": "DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn#GENERACION", "name": "GENERACION", "description": "Columna GENERACION de tabla tbl8_conocimiento_cliente", "type": "string", "dataType": "string" } } ] } }, { "typeName": "custom_data_transformation_process", "guid": "-107", "attributes": { "qualifiedName": "linaje_process_from_tbl8_conocimiento_cliente_to_tbl_tmp_clien_conocimiento_cliente_c@yellowbrick_conn", "name": "linaje_tbl8_conocimiento_cliente_to_tbl_tmp_clien_conocimiento_cliente_c", "description": "Proceso que conecta TBL8_CONOCIMIENTO_CLIENTE a TBL_TMP_CLIEN_CONOCIMIENTO_CLIENTE_C", "inputs": [ { "guid": "-105" } ], "outputs": [ { "guid": "-106" } ], "columnMapping": [ "{\"DatasetMapping\": {\"Source\": \"DB_DWH_EXTRACCION.HOGARES.TBL8_CONOCIMIENTO_CLIENTE@yellowbrick_conn\", \"Sink\": \"DB_DWH_STAG.CLIENTES.TBL_TMP_CLIEN_CONOCIMIENTO_CLIENTE_C@yellowbrick_conn\"}, \"ColumnMapping\": [{\"Source\": \"CUENTA\", \"Sink\": \"CUENTA\"}, {\"Source\": \"TIPO_DOCUMENTO\", \"Sink\": \"TIPO_DOCUMENTO\"}, {\"Source\": \"IDENTIFICACION\", \"Sink\": \"IDENTIFICACION\"}, {\"Source\": \"NOMBRE_1\", \"Sink\": \"NOMBRE_1\"}, {\"Source\": \"APELLIDO_1\", \"Sink\": \"APELLIDO_1\"}, {\"Source\": \"APELLIDO_2\", \"Sink\": \"APELLIDO_2\"}, {\"Source\": \"GENERO\", \"Sink\": \"GENERO\"}, {\"Source\": \"EDAD\", \"Sink\": \"EDAD\"}, {\"Source\": \"GENERACION\", \"Sink\": \"GENERACION\"}]}" ] } } ]Share MS Teams recording with someone using Graph API
Hi, There is a requirement to share MS Teams recordings with the required Azure AD users using Graph API. We a Power Automate flow which runs after the meeting sessions end. The requirement is that all recordings related to the that session should be shared with specified users which many vary based on the session configuration. We have the meeting joining URL and also the meeting ID, long string and not the GUID. We have tried two approaches using the Graph API. 1) using the approach below we were able to get the meeting records https://graph.microsoft.com/v1.0/users/84e35ca5-0000-0000-0000-20ef90928402/onlineMeetings/MSo4NGUzNWNhNS02NjM3LTQ4NGEtYmE5MS0yMGVmOTA5MjgwertyMCoqMTk6bWVldGluZ19OR123TlRZMU0ySXRNRGMzT0MwMFl6SXdMVGhoT0RrdFpHTXlOak5pT0dOa05qVTBAdGhyZWFkLnYy/recordings but this approach is good if you want to get the recording content to copy it to another location, it does not return the OneDrive location. 2) using the following approach we can get the OneDrive path but there is no way to filter the recordings https://graph.microsoft.com/v1.0/drives/b!u_gscMc-uEeF2AgpET9lx123werdOz1Fg_KTQFlVLnYAXRY1W9IKQqzF7v234rW1/root:/Recordings:/children so it is not feasible By using the first approach, we can move the recording to SharePoint and share it from there but considering the recording size, we do not want to use this approach unless there is no other way. Let me know if there is any other way or if i am missing any thing.
Unable to get Primary Keys in the tables
I am not able to get primary key in EmailDelivered , EmailOpened , EmailSent , FormSubmitted , FormVisited , WebsiteVisited . Below is the reference of one of the Table nad other tables are also present in this : https://learn.microsoft.com/en-us/common-data-model/schema/core/applicationcommon/foundationcommon/crmcommon/solutions/customerinsightsjourneys/emaildelivered Could you please help me in finding primary key in these tables. Have you ever faced this issue? what should you suggest in this case.Announcing the availability of TLS 1.3 in Azure API Management in Preview
TLS 1.3 is the latest version of the internet’s most deployed security protocol, which encrypts data to provide a secure communication channel between two endpoints. TLS 1.3 support in Azure API Management is planned to rollout during the first week of February 2024. The rollout will happen in stages, this means some regions will get it first as we roll out globally.
