We designed the Azure Modular Datacenter (MDC) for customers who need cloud computing capabilities in hybrid or challenging environments, including remote areas. This announcement is complemented by our Azure Space offerings and partnerships that can extend satellite connectivity anywhere in the world. Scenarios range from mobile command centers, humanitarian assistance, military mission needs, mineral exploration, and other use cases requiring high intensity, secure computing on Azure.
The MDC can give customers a path to migrate apps to Azure while still running these workloads on-premises with low-latency connections to their own datacenter. This provides a stepping stone for transforming workloads to the Azure API with the option of continuing to run these apps on-premises, or in public or sovereign clouds.
Azure where you need it
Around the world, there are significant cloud computing and storage needs in areas with adverse conditions, where low communication, disrupted network availability and limited access to specialized infrastructure would have previously prevented taking advantage of cloud computing. The MDC solves this by bringing Azure to these environments, providing datacenter scale compute resources closest to where they’re needed.
With MDC you can deploy a self-contained datacenter unit with a field transportable solution that provides near-immediate
https://azure.microsoft.com/blog/solving-iot-device-security-at-scale-through-standards/Edge Compute Node protection profile (ECN PP)—now available—guides you to engineer, claim, evaluate, and consume device security for IoT. Internet of Things (IoT) solution builders these days are more likely to deploy IoT solutions with unsecured devices because they cannot READ MORE
Insights that are frequently sought after in an organization are often locked in business-critical systems. These systems power functions such as sales, marketing, finance, supply chain, and operations. While the data these applications produce can tell the complete business story, organizations struggle to coalesce the data and deliver valuable analytics on top of them. It requires months and even years of work to redefine business logic or migrate existing applications in the attempt to have scalable, real-time analytics. On top of that, many legacy systems don’t provide APIs for easy connection to modern analytics tools, which further stagnates access to quick insights.
To enable companies to gain real-time insights on the critical data in their Oracle E-Business Suite, we are announcing a new offer with Incorta that brings Azure Synapse Analytics, Power BI, and Incorta together for end-to-end finance analytics.
The proof-of-value offer
With this new offer, customers can quickly see the value this packaged solution brings without complex overhead. Azure and Incorta provide qualified customers a free business use case consultation, a technical deep dive session, software subscriptions, and hands-on technical expertise.
The business value
The combination of Azure Synapse and Incorta enables leaders to connect directly
Between waves of pandemics, hurricanes, and wildfires, you don’t need cloud infrastructure adding to your list of worries this year. Fortunately, there has never been a better time to ensure your Azure deployments stay resilient. Availability zones are one of the best ways to mitigate risks from outages and disasters. With that in mind, we are announcing the preview for zone redundancy in Azure Cache for Redis.
Availability Zones on Azure
Azure Availability Zones are geographically isolated datacenter locations within an Azure region, providing redundant power, cooling, and networking. By maintaining a physically separate set of resources with the low latency from remaining in the same region, Azure Availability Zones provide a high availability solution that is crucial for businesses requiring resiliency and business continuity.
Redundancy options in Azure Cache for Redis
Azure Cache for Redis is increasingly becoming critical to our customers’ data infrastructure. As a fully managed service, Azure Cache for Redis provides various high availability options. By default, caches in the standard or premium tier have built-in replication with a two-node configuration—a primary and a replica hosting two identical copies of your data.
New in preview, Azure Cache for Redis can now support up to
In Azure, your data is your data. Not only is it protected at rest and in transit, but Microsoft Azure extends that protection while in use with confidential computing.
Azure was the first major public cloud to deliver confidential computing which opened up new levels of privacy and innovation for our customers. Today customers in finance, government, healthcare, and telecom use Azure to detect fraud, improve communications privacy, secure blockchain, deliver multi-party machine learning, and enable secure key management.
Azure now has the broadest portfolio of confidential computing options including confidential virtual machines, confidential containers, confidential machine learning, confidential IoT edge devices, and soon confidential capabilities within Azure SQL.
Today, we are announcing that Azure will be an early adopter of the 3rd generation Intel® Xeon® Platform, code named Ice Lake, which includes full memory encryption and accelerated cryptographic performance for confidential computing with Intel Software Guard Extensions (SGX). Available next year, this technology will unlock even more confidential computing scenarios for our customers.
Beyond the hardware security protections, Microsoft Azure Attestation (MAA) further improves security by enabling customers to remotely attest to the authenticity of the SGX enclave at the hardware level, ensures the latest security patches
Earlier this year, we empowered over 10,000 students from all over the world to learn the basics of machine learning over the course of four months. We are excited to announce the next stage of skilling with the availability of an advanced machine learning nanodegree on Udacity. Starting today, students can enroll for the Machine Learning Engineer for Microsoft Azure Nanodegree Program.
This new nanodegree program offers students the opportunity to develop deeper technical skills in machine learning (ML). Students will strengthen their skills by building and deploying sophisticated ML models using Azure Machine Learning. They will learn how to train ML models, manage ML pipelines, and tune hyperparameters to improve model performance. Once the model is ready, students will learn how to operationalize the model with the right MLOps practices, including automation, CI/CD, and monitoring.
Students will get hands-on exposure with built-in Azure labs that are designed to help students put theory into practice, all within Udacity’s classroom environment. To round it up, students will have the opportunity to show off their talents by completing a capstone project based on a real-life data science scenario. By the end of this program, students will also be well-prepared to earn
The last six months have seen an unprecedented acceleration in digital transformation. There has never been a more important time for database administrators (DBAs) and developers to prepare for an increasingly cloud-centric future. However, we’d like to make this interesting and fun. That’s why we’ve partnered with PASS, a worldwide community of over 300,000 data professionals, to create an interactive learning experience that allows you to test your talent and build your skillset for the future—all while earning to chance to win prizes. Sign up now for the Azure SQL Championship, starting October 12, 2020.
Here are three great reasons to compete:
1. Learn about Azure SQL the fun way
Who says that learning about virtualized instances of SQL Server can’t be exciting? The Azure SQL Championship is different from a webinar or training session. Enjoy special videos from SQL experts like Bob Ward as he introduces the challenges and provides helpful hints for participants. Be sure to watch for the daily quizzes and trivia to earn badges and climb the leaderboard! If you’ve meant to learn more about Azure SQL, this is a fantastic way to start.
2. Win recognition and prizes
A little competition never hurt anyone. Complete
We are excited to share that Microsoft has been named a Leader in the Gartner Magic Quadrant for Full Life Cycle API Management 2020 based on the ability to execute and completeness of vision. Our placement is a testament to our continued innovation in enterprise API management capabilities and broad customer adoption of Azure API Management.
With the rapid shift to and increasing adoption of digital channels for all business transactions, APIs are becoming increasingly important for organizations, enabling them to innovate, increase agility and take advantage of new business opportunities by building thriving API ecosystems. Azure API Management helps organizations of all sizes to design, secure, publish, scale, and observe APIs across clouds and on-premises and make them discoverable and consumable by internal, partner, and public developers.
Azure API Management is available in more than 50 regions worldwide. Thousands of global enterprise customers across every major industry vertical use Azure API Management including Alaska Airlines, CEMEX, SwissRe, Chipotle, Finastra, Bosch, Zeiss, Legrand.
Disclaimer: This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available by visiting this Microsoft
Around the world, customers are demonstrating the future of data-driven manufacturing. Dutch paint company AkzoNobel transformed from a manual operation to one focused on expanding a modern digital performance solution across its European factories. Swedish manufacturer Sandvik Coromant saw a 40 percent increase in engineering and operator productivity.
How others can replicate data-driven manufacturing success
We’ve recently developed a white paper to help our customers understand how they can replicate that success in their own facilities. For manufacturers, the promise of Industry 4.0 lies in breaking down silos and gaining a holistic view across the entire operation, from asset data to insights across all manufacturing processes. However, there are some big challenges in getting there—the data path is generally several layers deep, and enabling those layers to communicate freely can be an expensive proposition.
The manufacturing industry has a series of standards and compliance requirements, such as the International Society of Automation’s ISA-95. The ISA-95 automation structure is a generally accepted standard for manufacturing control systems that supports long-term reliability of operation. Still, it also makes interactions with control systems and automation devices all but impossible from an internet-connected system. However, building the capabilities from scratch to integrate the
With the wrong architecture, APIs can be a bottleneck to not only your applications but to your entire business. Bottlenecks such as downtime, low performance, or high application complexity, can result in exaggerated infrastructure and organizational costs and lost revenue. Serverless APIs mitigate these bottlenecks with autoscaling capabilities and consumption-based pricing models.
Once you start thinking of serverless as not only a remover-of-bottlenecks but also as an enabler-of-business, layers of your application infrastructure become a source of new opportunities. This is especially true of the API layer, as APIs can be productized to scale your business, attract new customers, or offer new services to existing customers, in addition to its traditional role as the communicator between software services.
Given the increasing dominance of APIs and API-first architectures, companies and developers are gravitating towards serverless platforms to host APIs and API-first applications to realize these benefits. One serverless compute option to host API’s is Azure Functions, event-triggered code that can scale on-demand, and you only pay for what you use. Gartner predicts that 50 percent of global enterprises will have deployed a serverless functions platform by 2025, up from only 20 percent today. You can publish Azure Functions through API