https://azure.microsoft.com/blog/microsoft-sustainability-calculator-helps-enterprises-analyze-the-carbon-emissions-of-their-it-infrastructure/ For more than a decade, Microsoft has been investing to reduce environmental impact while supporting the digital transformation of organizations around the world through cloud services. We strive to be transparent with our commitments, evidenced by our announcement that READ MORE
In June 2019, Microsoft announced a cloud interoperability collaboration with Oracle that will enable our customers to migrate and run enterprise workloads across Microsoft Azure and Oracle Cloud.
At Oracle OpenWorld in September, the cross-cloud collaboration was a big part of the conversation. Since then, we have fielded interest from mutual customers who want to accelerate their cloud adoption across both Microsoft Azure and Oracle Cloud. Customers are interested in running their Oracle database and enterprise applications on Azure and in the scenarios enabled by the industry’s first cross-cloud interconnect implementation between Azure and Oracle Cloud Infrastructure. Many are also excited about our announcement to integrate Microsoft Teams with Oracle Cloud Applications. We have already enabled the integration of Azure Active Directory with Oracle Cloud Applications and continue to break new ground while engaging with customers and partners.
Interest from the partner community
Partners like Accenture are very supportive of the collaboration between Microsoft Azure and Oracle Cloud. Accenture recently published a white paper, articulating their own perspective and hands-on experiences while configuring the connectivity between Microsoft Azure and Oracle Cloud Infrastructure.
Another Microsoft and Oracle partner who expressed interest early on is SYSCO. SYSCO is a European IT-company specializing
Do you need rugged, compact-sized hyperconverged infrastructure (HCI) enabled servers to run your branch office and edge workloads? Do you want to modernize your applications and IoT functions with container technology? Do you want to leverage Azure’s hybrid services such as backup, disaster recovery, update management, monitoring, and security compliance?
Well, Microsoft and HPE have teamed up to validate the HPE Edgeline EL8000 Converged Edge system for Microsoft’s Azure Stack HCI program. Designed specifically for space-constrained environments, the HPE Edgeline EL8000 Converged Edge system has a unique 17-inch depth form factor that fits into limited infrastructures too small for other x86 systems. The chassis has an 8.7-inch width which brings additional flexibility for deploying at the deep edge, whether it is in a telco environment, a mobile vehicle, or a manufacturing floor. This Network Equipment-Building System (NEBs) compliant system delivers secure scalability.
HPE Edgeline EL8000 Converged Edge system gives: Traditional x86 compute optimized for edge deployments, far from the traditional data center without the sacrifice of compute performance. Edge-optimized remote system management with wireless capabilities based on Redfish industry standard. Compact form factor, with short-depth and half-width options. Rugged, modular form factor for secure scalability and serviceability in edge and hostile environments including
We’re announcing the preview of Azure Spot Virtual Machines. Azure Spot Virtual Machines provide access to unused Azure compute capacity at deep discounts. Spot pricing is available on single Virtual Machines in addition to Virtual Machine Scale Sets (VMSS). This enables you to deploy a broader variety of workloads on Azure while enjoying access to discounted pricing. Spot Virtual Machines offer the same characteristics as a pay-as-you-go Virtual Machines, with differences in pricing and evictions. Spot Virtual Machines can be evicted anytime if Azure needs capacity.
The workloads that are ideally suited to run on Spot Virtual Machines include, but are not necessarily limited to, the following:
• Batch jobs.
• Workloads that can sustain and/or recover from interruptions.
• Development and test.
• Stateless applications that can use Spot Virtual Machines to scale out, opportunistically saving cost.
• Short-lived jobs which can easily be run again if the Virtual Machine is evicted.
Preview for Spot Virtual Machines will replace the preview of Azure low-priority Virtual Machines on scale sets. Eligible low-priority Virtual Machines will be automatically transitioned over to Spot Virtual Machines. Please refer to the FAQ for additional information.
Unlike low-priority Virtual Machines, prices for Spot Virtual
Do you need rugged, compact-sized hyperconverged infrastructure (HCI) enabled servers to run your branch office and edge workloads? Do you want to modernize your applications and IoT functions with container technology? Do you want to leverage Azure’s hybrid services such as backup, disaster recovery, update managment, monitoring, and security compliance?
Microsoft and Lenovo have teamed up to validate the Lenovo ThinkSystem SE350 for Microsoft’s Azure Stack HCI program. The ThinkSystem SE350 was designed and built with the unique requirements of edge servers in mind. It is versatile enough to stretch the limitations of server locations, providing a variety of connectivity and security options and can be easily managed with Lenovo XClarity Controller. The ThinkSystem SE350 solution has a focus on smart connectivity, business security, and manageability for the harsh environment. To see all Lenovo servers validated for Azure Stack HCI, see the Azure Stack HCI catalog to learn more.
Lenovo ThinkSystem SE350:
The ThinkSystem SE350 is the latest workhorse for the edge. Designed and built with the unique requirements for edge servers in mind, it is versatile enough to stretch the limitations of server locations, providing a variety of connectivity and security options and is easily managed with Lenovo XClarity
Since the general availability of Azure Data Lake Storage Gen2 in February 2019, customers have been getting insights at cloud scale faster than ever before. Integration to analytics engines is critical for their analytics workloads and equally important is the ability to programmatically ingest, manage, and analyze data. This ability is critical for key areas of enterprise data lakes such as data ingestion, event-driven big data platforms, machine learning, and advanced analytics. Programmatic access is possible today using Azure Data Lake Storage Gen2 REST APIs or Blob REST APIs. In addition, customers can enable continuous integration and continuous delivery (CI/CD) pipelines using Blob PowerShell and CLI capabilities via multi-protocol access. As part of the journey to enable our developer ecosystem, our goal is to make customer application development easier than ever before.
We are excited to announce the public preview of .NET SDK, Python SDK, Java SDK, PowerShell, and CLI for filesystem operations for Azure Data Lake Storage Gen2. Customers who are used to the familiar filesystem programming model can now implement this model using .NET, Python, and Java SDKs. Customers can also now incorporate these filesystem operations into their CI/CD pipelines using PowerShell and CLI, thereby enriching CI/CD pipeline
We are excited to announce the general availability of multi-protocol access for Azure Data Lake Storage. Azure Data Lake Storage is a unique cloud storage solution for analytics that offers multi-protocol access to the same data. This is a no-compromise solution that allows both the Azure Blob Storage API and Azure Data Lake Storage API to access data on a single storage account. You can store all your different types of data in one place, which gives you the flexibility to make the best use of your data as your use case evolves. The general availability of multi-protocol access creates the foundation to enable object storage capabilities on Data Lake Storage. This brings together the best of both object storage and Hadoop Distributed File System (HDFS) to enable scenarios that were not possible until today without data copy.
Broader ecosystem of applications and features
Multi-protocol access provides a powerful foundation to enable integrations and features for Data Lake Storage. Existing object storage applications and connectors can now be used to access data stored in Data Lake Storage with no changes. This vastly accelerated the integration of Azure services and the partner ecosystem with Data Lake Storage. We are also
https://azure.microsoft.com/blog/introducing-azure-cost-management-for-partners/As a partner, you play a critical role in successful planning and managing long-term cloud implementations for your customers. While the cloud grants the flexibility to scale the cloud infrastructure to the changing needs, it does become challenging to control READ MORE