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Preview features

To obtain your feedback, Azure offers the following preview features to you for evaluation purposes. A preview may include preview, beta, or other pre-release features, services, software, or regions. Previews are subject to reduced or different service terms, as set forth in your service agreement and the preview supplemental terms. Previews are made available to you on the condition that you agree to these terms of use, which supplement your agreement governing the use of Azure.

Increased Azure Managed Disks Storage Capacities

New Azure Managed Disks SKUs with greater storage capacity and increased performance are now in Preview. We are increasing the sizes and throughput associated with our Azure Managed Disks offerings. All existing Azure Managed Disk offerings (Premium SSD, Standard SSD and Standard HDD) will now feature 8, 16 and 32 TiB disk sizes. Premium SSD performance will now reach up to 20,000 IOPS and 750MBps. Standard SSD and Standard HDD performance will now reach up to 2,000 IOPS and 500MBps. These capabilities will allow you to significantly expand storage capacity while simplifying management and achieving better performance.

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Azure Ultra SSD

For your most demanding data-intensive workloads, Ultra SSDs – an Azure Managed Disks solution - offer unprecedented and extremely scalable performance with sub-millisecond latency. Choose a disk size from 4GiB up to 64 TiB, achieve the optimal performance you need per disk even at low storage capacities. Ultra SSDs are capable of achieving 160,000 IOPS on a single disk.

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Azure Blueprints

Azure Blueprints enables easy deployments of your resource templates, policies, and access control. This helps ensure that your Azure environments are ready to start using right away, and enables developers to deploy compliant applications to production faster through a self-service model.

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Azure Database for MariaDB

Azure Database for MariaDB preview provides fully managed, enterprise-ready community MariaDB database as a service. The MariaDB Community edition helps you easily lift and shift to the cloud, using languages and frameworks of your choice. On top of that, you get built-in high availability and dynamic scaling, helping you easily adjust to changes in customer demands. Additionally, you benefit from the unparalleled security and compliance, including Azure IP advantage, as well as Azure’s industry leading reach. All this with a flexible pricing model so you can choose resources for your workload with no hidden cost.

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Azure Front Door Service

Azure Front Door Service offers one secure entry point for delivering globally performant app architectures. Scale your app to your customers while dynamically optimizing performance with single-domain centralized management, traffic optics, and protection policies. Front Door Service also features SSL offload and application acceleration at the network edge, close to end users. Global HTTP load balancing additionally provides instant failover, actionable insights about users and backends, application firewall and DDoS protection, and a centralized control plane for traffic orchestration.

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Azure NetApp Files

Discover Azure Netapp Files—the hybrid network file system (NFS) that provides a sophisticated enterprise-grade experience with the security, compliance, and power of NetApp and Azure.

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Cognitive Search with AI-powered content augmentation

With the new cognitive search feature you can use artificial intelligence to extract insights and structured information from your documents. Create pipelines that use cognitive skills to enrich and bring structure to your data before it gets indexed. You can select from a variety of pre-built cognitive skills and also extend its power by creating your own custom skills.

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Azure Blockchain Workbench

Quickly start and scale blockchain projects with Azure Blockchain Workbench. Simplify development and ease experimentation with modular, prebuilt networks and infrastructure. Accelerate time to value through integrations and extensions to the cloud services and consuming apps you already use, and innovate with confidence on an open, trusted, and globally available platform.

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Azure SQL Database Managed Instance

Managed Instance is a new deployment option in Azure SQL Database that provides SQL Server compatibility and native virtual network support. Move your SQL Server workloads to an intelligent, fully managed service without rearchitecting your apps and use the new vCore-based performance tiers for easy translation of on-premises requirements to the cloud. Save up to 30 percent today by moving your SQL Server databases to Managed Instance with Azure Hybrid Benefit for SQL Server. If you’re already using Azure, try Managed Instance from the portal today. If you’re new to Azure, create a free account first.

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Azure Cosmos DB Apache® Cassandra API

Apache® Cassandra API delivers Cassandra as-a-service over the power of Azure Cosmos DB. Developers can use familiar Cassandra SDKs and tools to “lift-and-shift” existing applications and build new applications using Cassandra API against a highly scalable, globally distributed, multi-model database service.

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Batch AI

Batch AI is a new platform service that helps you train and test deep learning and other AI or machine learning models with the scale and flexibility used by Microsoft’s data scientists. Managed clusters of GPUs and CPUs let you design larger networks, run experiments in parallel and at scale to reduce development time and make development easier and more productive. With Batch AI, you only pay for the compute and storage used for your training. There’s no additional charge for the cluster management and job scheduling.

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Azure Data Box

The Azure Data Box is a secure, ruggedized, tamper resistant appliance created by Microsoft to help customers transfer large amounts of data into Azure Storage. Customers can order the Data Box through the Azure portal and have it delivered at their site to rapidly copy data to the device using a standard NAS protocol (SMB/CIFS). The information on the Data Box is secured using 256-bit AES encryption to ensure privacy. When returned to Microsoft, the data is uploaded directly into Azure Blob or File storage and then the device is securely erased. Partner solutions also integrate with the Azure Data Box to help their customers with large Azure Data transfer projects. Availability for the preview will be limited to US regions but we encourage all interested customers to register.

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PowerShell in Cloud Shell

Cloud Shell is your Microsoft-managed admin machine in the cloud with authenticated shell access to Azure from virtually anywhere. It includes popular command-line tools, support for common programming languages, and attached Azure File storage to persist your data across sessions.

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Machine Learning Experimentation service

Increase your rate of experimentation. Rapidly prototype on your desktop, then easily scale up on virtual machines through Docker containers or scale out using Apache Spark clusters. Proactively manage model performance, identify the best model, and promote the best model with data. Collaborate and share solutions using powerful, industry standard GIT repositories.

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Machine Learning Model management

Deploy and manage your models everywhere. Use Docker containers to quickly deploy models into production in the cloud, on-premises, or at the edge. Promote your best performing models into production and re-train them when their performance degrades. Deploy as real-time or high-throughput batch services.

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Machine Learning Workbench

Tie it all together with a downloadable desktop application and command-line tool, featuring built-in data preparation that learns your data preparation steps as you perform them. Increase your productivity with project management, run history, and notebook integration. Use popular open source frameworks, such as TensorFlow, Cognitive Toolkit, Spark ML, and scikit-learn.

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Machine Learning Visual Studio Code extension

Build deep learning models easier with built-in Azure Machine Learning services. Use our Visual Studio Code extension for a seamless developer experience across desktop, cloud, and edge. Develop deep learning models and call services straight from your preferred integrated development environment.

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Machine Learning MMLSpark

Quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets using deep learning and data science tools for Apache Spark.

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Billing Alert Service

Use Azure Billing Alert Service to quickly and easily create customized billing alerts that help you monitor and manage billing activity for your Azure accounts.

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Cognitive Services

A portfolio of APIs and SDKs that enable developers to easily add intelligent services such as vision, speech, language, knowledge, and search capabilities to their solutions.

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Media Analytics

Azure Media Analytics provides a collection of speech and vision components that make it easier for organizations and enterprises to derive actionable insights from their video files through advanced machine learning technology. Azure Media Analytics services are hosted on the Azure Media Services platform, Azure’s cloud media solution for encoding, encrypting, and streaming audio or video at scale, live, or on demand (VOD). Media Analytics services are offered at enterprise scale, delivering the compliance, security, and global reach large organizations need.

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Azure Active Directory conditional access policies

Azure Active Directory now provides conditional access policies that let you create access rules for Azure Active Directory-connected apps based on user location and group membership. More sensitive apps can be assigned stricter policies, such as requiring Azure Multi-Factor Authentication outside of the corporate network, while less sensitive apps can have more open policies.

Azure Active Directory dynamic group membership

With this preview, administrators set rules on any group in Azure Active Directory based on user attributes like “department” or “country” to dynamically define group membership. These groups can be used to provide access to applications or cloud resources or assign licenses to users.

Azure Active Directory password rollover

Azure Active Directory lets you assign shared application accounts to groups. This is particularly useful for managing access to company-owned social media accounts like Twitter, Facebook or LinkedIn. The real password for these accounts is known only to the administrator, while other members of the group use their work credentials to access them. This enhances security by letting you configure passwords to automatically roll over, which makes shared accounts more secure by automatically creating new, strong, complex passwords at an interval that you define, minimizing the risk that company-owned social media accounts will be exploited.

Azure Active Directory self-service access requests

This preview lets users of Azure Active Directory choose from a list of applications made available by their organization and request access to them through a self-service process. This process can either provide access to the chosen application immediately or via an approval workflow.

Custom Speech

Overcome speech recognition barriers such as speaking style, vocabulary, and background noise.

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Speaker Recognition

Identify individual speakers, or use speech as a means of authentication with the Speaker Recognition.

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Custom Vision

Easily customize your own state-of-the-art computer vision models for your unique use case. Just upload a few labeled images, and let Custom Vision Service do the hard work.

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Azure Lab Services

Azure Lab Services provides secure, sharable labs in the cloud for classroom, trial, development and testing, and other scenarios. Build your virtual cloud lab on Windows or Linux—with a fast and flexible setup.

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Azure Data Explorer

Perform ad-hoc queries on terabytes of data with Azure Data Explorer—a lightning-fast indexing and querying service to help you build near real-time and complex analytics solutions. Azure Data Explorer allows you to quickly identify trends, patterns, or anomalies in all data types inclusive of structured, semi structured and unstructured data.

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