Generally Available: Change capacity mode from serverless to provisioned throughput in Azure Cosmos DB

Generally Available: Change capacity mode from serverless to provisioned throughput in Azure Cosmos DB
You can now change the capacity mode of an Azure Cosmos DB account from serverless to provisioned capacity in-place using the Azure portal or Azure CLI. This new capability makes it easy for you to transition to the performance and comprehensive service-level agreement provided by provisioned capacity mode.

Generally Available: New regions for Azure Functions Flex consumption
Beyond the already generally available regions, you can now create Flex Consumption apps in the following regions:

• Australia Southeast
• Brazil South
• Canada Central
• Central India
• Central US
• France Central
• Germany West Central
• Italy North
• Japan East
• Korea Central
• North Central US
• Norway East
• South Africa North
• South India
• Spain Central
• UAE North
• Uk West
• West Central US
• West Europe
• West US

Generally Available: Migrate from Azure Cosmos DB Mongo DB RU-based to vCore-based via Azure portal
We are introducing a cost-effective, simple, and efficient solution for migrating from RU-based Azure Cosmos DB for MongoDB to vCore-based. You can now move to vCore-based Azure Cosmos DB for MongoDB at no cost using the Azure portal, with no additional resources required.

With this new feature, you can enjoy a seamless, free, and no-installation migration process. The entire migration is portal-based, enabling you to manage everything directly from the Azure portal without needing any extra software or tools. This approach not only saves you time but also reduces the complexity of the migration process.
This feature supports both online and offline migration, enabling you to transition to vCore-based without the financial burden. You also benefit from improved performance and scalability. The vCore-based version offers more predictable performance and better cost management, enabling you to optimize your resources and enhance the overall efficiency of your database operations.

Generally Available: Microsoft Entra ID for Azure Cosmos DB for MongoDB (vCore)
Azure Cosmos DB for MongoDB (vCore) now supports authentication via Microsoft Entra ID, enhancing security and simplifying identity management. With this update, you can now add Entra ID accounts directly to your MongoDB vCore clusters and use them for secure database access. Previously, authentication was limited to native, per-cluster database users.
This integration streamlines administrative tasks by enabling centralized identity management across multiple clusters. It also supports enforcement of Microsoft Entra ID policies, such as password complexity and multifactor authentication, without the need for repetitive user setup on each individual cluster.
Moreover, administrators can assign Entra ID accounts with more granular access permissions, including read-only or read-write roles, giving them fine-tuned control over database access.

Generally Available: Phrase search in Azure Cosmos DB for NoSQL
You can now use phrase search in Azure Cosmos DB for NoSQL to find exact sequences of words. This capability makes your full-text search more precise and powerful. With phrase search, your applications can match entire phrases rather than just individual keywords, helping you return results that are more relevant and contextually accurate.
This capability is especially useful when your users are searching for specific product names, titles, quotes, or multiple-word terms where word order matters. Instead of retrieving documents that contain the right words in the wrong context, phrase search ensures your results match exactly what the user intended.
In any application needing highly relevant text search—from content and knowledge management to GenAI, e-commerce, and customer support experiences—phrase search gives you the control to deliver more targeted and meaningful results from searching your Azure Cosmos DB data.

Generally Available: Azure Cosmos DB integration in Azure AI Agent Service
When designing and customizing AI apps and agents, you can now use the data stored in your Azure Cosmos DB accounts to power AI solutions built in Azure AI Foundry.
Azure Cosmos DB is the first Azure database able to power Azure AI Foundry agents and models in Azure AI Foundry with real-time, operational data. You can connect and access your Azure Cosmos DB data using the Azure AI Foundry portal or natively in application code with the Azure AI Foundry SDK.
In addition to building AI agents in Azure AI Foundry, you can now securely store and manage the conversation threads between users and AI agents in your Azure Cosmos DB accounts, using the Azure AI Foundry SDK. With this feature, agents can recall the content of previous conversations and messages and pick up conversations where they left off.

Generally Available: DiskANN in vCore-based Azure Cosmos DB for MongoDB
DiskANN is now generally available in vCore-based Azure Cosmos DB for MongoDB, giving you powerful vector search capabilities directly within your database. This means you can now build intelligent applications that search across high-dimensional vector data—like text embeddings, images, or other AI-generated features—with low latency and high accuracy.
With support for up to 4,000 dimensions, this release makes it easier to work with modern embedding models and large-scale AI workloads. DiskANN uses an optimized compression algorithm (PQ) to store and search vectors efficiently, reducing memory consumption while boosting search speed.

Generally Available: Vector search in DocumentDB
Vector search is now generally available in DocumentDB, the open-source engine powering vCore-based Azure Cosmos DB for MongoDB. With this feature, you can build smarter applications that go beyond keyword search. Vector search helps you find similar items in your data—like matching product descriptions, identifying related content, or analyzing unstructured inputs such as images or embeddings. Built directly into DocumentDB, this update means you don’t need to integrate separate services or move your data elsewhere. You get native support for vector search while still using a familiar MongoDB interface, saving time and development effort. And because it runs on an open-source engine, you retain flexibility without vendor lock-in.

Generally Available: SDK type bindings for Azure Blob Storage with Azure Functions in Python
Azure Functions triggers and bindings enable you to easily integrate event and data sources with function applications. This feature enables you to use types from service SDKs and frameworks, providing more capability beyond what is currently offered.
Specifically, SDK type bindings for Azure Storage Blob enable the following key scenarios:

• Downloading and uploading blobs of large sizes, reducing current memory limitations and GRPC limits.
• Improved performance by using blobs with Azure Functions

Generally Available: Azure Functions support for HTTP streams in Python
Azure Functions support for HTTP streams in Python is now GA. With this feature, customers can stream HTTP requests to and responses from their Function Apps, using function exposed FastAPI request and response APIs.
Previously with HTTP requests, the amount of data that could be transmitted was limited at the SKU instance memory size. With HTTP streaming, large amounts of data can be processed with chunking.
This feature enables new scenarios including processing large data streaming OpenAI responses and delivering dynamic content. You can leverage this feature for use cases where real time exchange and interaction between client and server over HTTP connections is needed. Additionally, FastAPI response types are supported with this feature.

Generally Available: Durable functions v3 in Azure Functions
Durable functions extension v3 in Azure Functions is now generally available. Major improvements in this new major version include improved cost efficiency for usage of Azure Storage v2 accounts and an upgrade to the latest Azure Storage SDKs, as well as the .NET Framework used by the extension.

Specifically, the Microsoft.Azure.WebJobs.Extensions.DurableTask v3.x package (referred to as Extensions.DurableTask from now on) is introduced, which represents a breaking change for durable functions C# apps that use the in-process model. Since the durable functions .NET isolated package, namely Microsoft.Azure.Functions.Worker.Extensions.DurableTask, references Extensions.DurableTask as its underlying assembly, the improvements mentioned above also apply to the isolated package starting from version 1.2.x.

Generally Available: OpenTelemetry agent in Azure Container Apps
OpenTelemetry agent in Azure Container Apps is now generally available. This feature enables you to use open-source standards to send your app’s data without setting up the OpenTelemetry collector yourself. You can use the managed agent to choose where to send logs, metrics, and traces.
Once enabled, the agent runs in your Container Apps environment and automatically collects and exports telemetry data. You can send data to Azure Monitor Application Insights (logs, traces), Datadog (metrics, logs, traces), or any generic OTLP-configured endpoint (logs, metrics, traces). You can configure and manage the agent today using the Azure portal, ARM templates, Bicep, Terraform, or the Azure CLI.

Generally Available: Aspire Dashboard in Azure Container Apps
Azure Container Apps .NET 8’s Aspire dashboard is now generally available, so you can access live data about your project and containers in the cloud to evaluate the performance of your applications and debug errors with comprehensive logs, metrics, traces, and more.
You can now access the Aspire dashboard in Azure Portal for your project in Azure Container Apps, which you previously could only locally.

Generally Available: DiskANN on Azure Database for PostgreSQL
We're thrilled to announce the general availability of DiskANN—one of the fastest vector indexing algorithms on the market—on Azure Database for PostgreSQL. Developed at Microsoft Research and used extensively at Microsoft in global services such as Bing and Microsoft 365, DiskANN enables you to build high-performance and scalable generative AI (GenAI) applications that surpass pgvector index types—hierarchical navigable small world (HNSW) and inverted file with flat compression (IVFFlat)—in both speed and accuracy. Using DiskANN in PostgreSQL dramatically improves query performance and reduces latency as you scale your GenAI applications.

Generally Available: Apache AGE extension for Azure Database for PostgreSQL
We are excited to announce the general availability of the Apache AGE extension for Azure Database for PostgreSQL. With this release, you can unlock powerful graph database capabilities, enabling you to efficiently manage and analyze complex relationships within your data. The Apache AGE extension enhances PostgreSQL by providing advanced graph querying features, making it easier for you to gain insights and elevate your data management and analytics.