更新存档
四月 2024 每月更新
Generally Available: Index Advisor in Azure Cosmos DB helps optimize your index policy for NoSQL queries
目标可用性: Q2 2024
Reduce RU-costs and improve query speeds with Index Advisor!
General availability: Semantic caching with vCore-based Azure Cosmos DB for MongoDB
目标可用性: Q2 2024
Leverage historical LLM responses with Azure Cosmos DB and LangChain!
Public preview: Filtered vector search in vCore-based Azure Cosmos DB for MongoDB
目标可用性: Q2 2024
Azure Cosmos DB for MongoDB improves its vector search capabilities with filtered vector search, now in preview.
General availability: Azure Cosmos DB for PostgreSQL geo-redundant backup and restore
目标可用性: Q2 2024
Store cluster backup in another region. Restore cluster in the primary or another region.
General availability: HNSW vector index in vCore-based Azure Cosmos DB for MongoDB
目标可用性: Q2 2024
The HNSW vector index is now generally available in vCore-based Azure Cosmos DB for MongoDB.
.Net Standard user-defined functions for Azure Stream Analytics will be retired on 30 September 2024.
目标截止日期: 十月 01, 2024
.Net Standard user-defined functions for Azure Stream Analytics will be retired on 30 September 2024. After that date, it won’t be possible to use the feature. Please transition to JavaScript user-defined functions for Azure Stream Analytics.
Azure Machine Learning data collector is now generally available
目标可用性: Q2 2024
Azure Machine Learning data collector provides real-time logging of input and output data from models that are deployed to managed online endpoints or Kubernetes online endpoints. This data can be seamlessly used for model monitoring, debugging, or auditing, thereby providing observability into the performance of your deployed models.
Azure Machine Learning - General Availability for April 2024
Three features now available in GA enable you to seamlessly log inference data to a central location, set up event-driven applications, processes, or workflows based on Azure Machine Learning events, and utilize lifecycle management of features from creation through archival.
Azure Event Grid support for last will & testament (LWT) capabilities now in Public Preview
Ensures predictable and reliable flow of communication among MQTT clients during unexpected disconnections.
Public Preview: Mirroring Azure Cosmos DB in Microsoft Fabric
目标可用性: Q2 2024
Get near-real time analytics on your Azure Cosmos DB data in Microsoft Fabric with zero-ETL.
General Availability of Azure Logic Apps connectors for IBM Mainframe and Midranges
目标可用性: Q2 2024
Exciting news! Our IBM Mainframe and Midrange connectors, including IBM 3270, IBM CICS, IBM DB2, IBM i, IBM MQ, and IBM IMS, are now generally available. These connectors address highly sought-after customer requests, bring capabilities to extend Azure Logic Apps cloud native workloads with some of the oldest systems ever built for Mainframes and Midranges.
Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard)
目标可用性: Q1 2024
We're thrilled to announce two new built-in connectors for Azure Logic Apps: Azure OpenAI and Azure AI Search. With the increasing adoption of AI technologies, there's a growing demand to integrate these capabilities seamlessly into Logic Apps workflows. To address this need, we're launching the Public Preview of these connectors, bridging the gap between Logic Apps and AI.
Announcing General Availability of Azure API Management Basic v2 and Standard v2 Tiers
目标可用性: Q2 2024
We're thrilled to announce the General Availability of Azure API Management's newest pricing tiers – Basic v2 and Standard v2. The Azure API Management v2 pricing tiers represent a significant leap forward, offering a comprehensive range of capabilities tailored to projects of all sizes, from small-scale endeavors to large-scale enterprise applications. Importantly, these new v2 pricing tiers are available alongside our existing Azure API Management classic pricing tiers, ensuring continuity for users. It's worth noting that the Azure API Management classic pricing tiers remain actively supported and invested in.