Category Archives : Announcements

15

Nov

Introducing the Azure Blockchain Development Kit
Introducing the Azure Blockchain Development Kit

“Developers! Developers! Developers!” That phrase is synonymous with Microsoft’s history of democratizing complex technologies and empowering anyone with an idea to build software.

Over four decades, we’ve lowered barriers to development with developer tooling, enterprise integration, DevOps, PaaS, and SaaS. Today, serverless offerings from Functions and Logic Apps to Azure DevOps and IoT Central remove friction for development in the cloud.

This morning, we’re excited to announce the initial release of the Azure Blockchain Development Kit which is built on Microsoft’s serverless technologies and seamlessly integrates blockchain with the best of Microsoft and third-party SaaS.

This kit extends the capabilities of our blockchain developer templates and Azure Blockchain Workbench, which incorporates Azure services for key management, off-chain identity and data, monitoring, and messaging APIs into a reference architecture that can be used to rapidly build blockchain-based applications.

These tools have become the first step for many organizations on their journey to re-invent the way they do business. Apps have been built for everything from democratizing supply chain financing in Nigeria to securing the food supply in the UK, but as patterns emerged across use cases, our teams identified new ways for Microsoft to help developers go farther, faster.

This initial

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13

Nov

Bringing AI to the edge
Bringing AI to the edge

We are seeing a clear trend towards a future powered by the intelligent cloud and intelligent edge. The intelligent cloud is ubiquitous computing at massive scale, enabled by the public cloud and powered by AI, for every type of application one can envision. The intelligent edge is a continually expanding set of connected systems and devices that gather and analyze data—close to end users and the data that is generated. Together, they give customers the ability to create a new class of distributed, connected applications that enable breakthrough business outcomes.

To accelerate this trend, today we are announcing the preview of Azure Cognitive Services containers, making it possible to build intelligent applications that span the cloud and the edge. Azure Cognitive Services allow developers to easily add cognitive features—such as object detection, vision recognition, and language understanding—into their applications without having direct AI or data science skills or knowledge. Over 1.2 million developers have discovered and tried Azure Cognitive Services to build and run intelligent applications. Containerization is an approach to software distribution in which an application or service is packaged so that it can be deployed in a container host with little or no modification.

With container support, customers

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13

Nov

Azure Kubernetes Service now in private preview in Azure China

We are pleased to announce the private preview of the Microsoft Azure Kubernetes Service (AKS) in Azure China. With this announcement, Azure becomes the first cloud provider to provide a managed Kubernetes service within mainland China. As in the other regions where the service is available worldwide, AKS in China offers users a way to quickly and easily create a Kubernetes cluster on Azure infrastructure, then scale, upgrade, and monitor that cluster with a set of simple and intuitive tools.

If you have an Azure China account, creating a Kubernetes cluster in AKS is as simple as az aks create. Once the cluster is created, you can manage it in the Azure China portal, including scaling the cluster in and out, and upgrading to new Kubernetes versions.

When coupled with the Azure Container Registry, users now have the core tools to build and run large scale containerized applications in China. Over the coming months, we will enable other elements of the Azure container ecosystem, including Azure Container Instances and Azure Monitor for containers.

If you are interested in joining the private preview, please submit your contact details through the form at https://aka.ms/aks/chinapreview.

谢谢 (thank you!)

Sean

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07

Nov

Announcing the general availability of Azure Event Hubs for Apache Kafka®

In today’s business environment, with the rapidly increasing volume of data and the growing pressure to respond to events in real-time, organizations need data-driven strategies to gain valuable insights faster and increase their competitive advantage. To meet these big data challenges, you need a massively scalable distributed streaming platform that supports multiple producers and consumers, connecting data streams across your organization. Apache Kafka and Azure Event Hubs provide such distributed platforms.

How is Azure Event Hubs different from Apache Kafka?

Apache Kafka and Azure Event Hubs are both designed to handle large-scale, real-time stream ingestion. Conceptually, both are distributed, partitioned, and replicated commit log services. Both use partitioned consumer models with a client-side cursor concept that provides horizontal scalability for demanding workloads.

Apache Kafka is an open-source streaming platform which is installed and run as software. Event Hubs is a fully managed service in the cloud. While Kafka has a rapidly growing, broad ecosystem and has a strong presence both on-premises and in the cloud, Event Hubs is a cloud-native, serverless solution that gives you the freedom of not having to manage servers or networks, or worry about configuring brokers.

Announcing Azure Event Hubs for Apache Kafka

We are excited

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07

Nov

Announcing the general availability of Azure Event Hubs for Apache Kafka®

In today’s business environment, with the rapidly increasing volume of data and the growing pressure to respond to events in real-time, organizations need data-driven strategies to gain valuable insights faster and increase their competitive advantage. To meet these big data challenges, you need a massively scalable distributed streaming platform that supports multiple producers and consumers, connecting data streams across your organization. Apache Kafka and Azure Event Hubs provide such distributed platforms.

How is Azure Event Hubs different from Apache Kafka?

Apache Kafka and Azure Event Hubs are both designed to handle large-scale, real-time stream ingestion. Conceptually, both are distributed, partitioned, and replicated commit log services. Both use partitioned consumer models with a client-side cursor concept that provides horizontal scalability for demanding workloads.

Apache Kafka is an open-source streaming platform which is installed and run as software. Event Hubs is a fully managed service in the cloud. While Kafka has a rapidly growing, broad ecosystem and has a strong presence both on-premises and in the cloud, Event Hubs is a cloud-native, serverless solution that gives you the freedom of not having to manage servers or networks, or worry about configuring brokers.

Announcing Azure Event Hubs for Apache Kafka

We are excited

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07

Nov

Row-Level Security is now supported for Microsoft Azure SQL Data Warehouse

Today we’re announcing the general availability of Row-Level Security (RLS) for Microsoft Azure SQL Data Warehouse, an additional capability for managing security for sensitive data. Azure SQL Data Warehouse is a fast, flexible, and secure cloud data warehouse tuned for running complex queries fast and across petabytes of data.

As you move data to the cloud, securing your data assets is critical to building trust with your customers and partners. With the introduction of RLS, you can implement security policies to control access to rows in your tables, as in who can access what rows. RLS enables this fine-grained access control without having to redesign your data warehouse. This simplifies the overall security model as the access restriction logic is located in the database tier itself rather than away from the data in another application. RLS also eliminates the need to introduce views to filter out rows for access control management. In addition, RLS supports both SQL authentication and Azure Active Directory (AAD) authentication.

Here are a few scenarios where RLS could be leveraged today:

A healthcare provider enforces a security policy that allows nurses to view only data rows for their own patients. A financial services firm restricts access

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31

Oct

Deliver the right events to the right places with Event Domains

As we continue to see our community grow around Event Grid, many of you have started to explore the boundaries of complexity and scale that can be achieved. We’ve been blown away with some of the system architectures we have seen built on top of the platform.

In order to make your life easier with some of these scenarios, we decided to dedicate much of the last few months to building two features we are very excited to announce today: advanced filters, and Event Domains – a managed platform for publishing events to all of your customers. In addition, we’ve been working to improve the developer experience and make Event Grid available in Azure Government regions.

Event Domains

Become your own event source for Event Grid with Event Domains, managing the flow of custom events to your different business organizations, customers, or applications. An Event Domain is essentially a management tool for large numbers of Event Grid Topics related to the same application, a top-level artifact that can contain thousands of topics. With a Domain, you get fine grain authorization and authentication control over each topic via Azure Active Directory, which lets you easily decide which of your tenants or

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22

Oct

Expanding the HashiCorp partnership
Expanding the HashiCorp partnership

I’m grateful to have the opportunity to speak at HashiConf ’18. It’s always awesome to work with Mitchell, Armon, and the talented engineers at HashiCorp because I believe that we share the same focus on building pragmatic, open-source, and enterprise-ready tools for the cloud. With that strong vision and partnership in mind, I’m excited to describe some of the work that we have done since our announcements at last year’s HashiConf, to bring together the best of HashiCorp’s user focused experiences with the strengths of the Azure cloud.

Our engineering teams have collaborated to expand the resources and services supported by the Terraform provider for AzureRM and added several new integrations with HashiCorp Vault. For this post, I thought it would be beneficial for readers to see the great strides that we’ve made in our partnership with HashiCorp by reviewing some of the major milestones that we hit this year.

Terraform updates in Azure Cloud Shell

Honestly, Cloud Shell is one of my favorite features in Azure. A cloud-based workspace accessible from anywhere and on any device means that I can easily create, monitor and update my cloud resources regardless of where I am. For some time now, we have

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17

Oct

https://azure.microsoft.com/blog/what-s-new-in-azure-media-services-video-processing/Developers and media companies trust and rely on Azure Media Services for the ability to encode, protect, index, and deliver videos at scale. This week we are proud to announce several enhancements to Media Services including the general availability of READ MORE

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15

Oct

Announcing the public preview of Azure Digital Twins

Last month at our Ignite conference in Orlando, we proudly announced the public preview of Azure Digital Twins, a new platform for comprehensive digital models and spatially aware solutions that can be applied to any physical environment. Today, we take the next step in the journey of simplifying IoT for our customers and are happy to announce that Azure Digital Twins is now officially live.

Starting today, customers and partners can create an Azure account and begin using Azure Digital Twins. We encourage you to explore the content available in the Azure Digital Twins documentation and on the product page. You can also try out the quickstart to begin building your solution with Azure Digital Twins today.

As mentioned in the announcement blog post from last month, Azure Digital Twins allows customers to benefit from first modeling the physical environment before connecting devices to that model. By transitioning the IoT approach to one that goes beyond mapping sensors and devices, customers can benefit from new spatial intelligence capabilities and insights into how spaces and infrastructure are really used. This allows organizations tp better serve people’s needs at every level, from energy efficiency to employee satisfaction and productivity. In addition, the

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