Serverless for the enterprise with Microsoft Azure
Cloud computing has opened new paradigms that enable enterprises to reach new levels of productivity and scale.
Cloud computing has opened new paradigms that enable enterprises to reach new levels of productivity and scale.
Using products like Azure Kubernetes Service (AKS), organizations are able to build distributed applications that are more resilient and dynamically scalable, while enabling portability in the cloud and at the edge.
This week at Microsoft Ignite, we announced several important additions to our Azure infrastructure as a service (IaaS) portfolio.
For decades our Microsoft services partners have fostered digital transformation at customer organizations around the world. As a result, our partners bring a deep level of subject matter expertise on Microsoft products that customers seek.
SQL Server on Azure virtual machines brings cloud agility, elasticity and scalability benefits to SQL Server workloads. SQL virtual machine offers full control on the operating system , virtual machine size, storage subsystem, and the level of manageability needed for your workload.
Today, most applications are running online transactional processing (OLTP) transactions.
As customers have moved their workloads to the cloud, we’ve seen a growth in the use of cloud-native architectures, particularly microservices.
This is the second in a four-part blog series on Designing A Great SAP on Azure Architecture. In the first part of our blog series we have covered the topic of Designing for Security.
Companies and cloud solutions teams by and large understand the need for a disaster recovery solution. One of the first steps while defining and choosing a disaster recovery plan is to perform a business impact analysis.
Since announcing Azure VMware Solutions at Dell Technologies World this spring, we’ve been energized by the positive feedback we’ve received from our partners and customers who are beginning to move their VMware workloads to Azure.
Python support for Azure Functions is now generally available and ready to host your production workloads across data science and machine learning, automated resource management, and more.
Codenamed Project Tardigrade, this effort draws its inspiration from the eight-legged microscopic creature, the tardigrade also known as the water bear. Virtually impossible to kill, tardigrades can be exposed to extreme conditions, but somehow still manage to wiggle their way to survival.