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Get the best value in your cloud journey with Azure pricing offers and resources
This blog post will show you how to approach and think about pricing throughout your cloud adoption journey.
This blog post will show you how to approach and think about pricing throughout your cloud adoption journey.
We’re thrilled to announce that Microsoft has once again been named a Leader in the 2024 Gartner® Magic Quadrant™ for Integration Platform as a Service. It’s the sixth time in a row that we’ve been recognized.
Microsoft’s mission is to empower everyone to achieve more, and we know that our customers like using MongoDB to build applications.
With technologies like open industrial IoT, advanced analytics, and AI, Microsoft Azure ensures manufacturing organizations are well-equipped to understand, mitigate, and validate their environmental impacts.
It is Microsoft’s mission to empower the next generation of developers with world-class tools and cloud services that allow them to build the applications of the future. These applications of the future will be intelligent, infused with AI to provide advanced insights.
There are some use cases of serverless that need to be stateful—such as long-running workflows, human approved processes, and e-commerce shopping cart applications. Durable Functions, an extension to the Azure Functions runtime that brings stateful and orchestration capabilities to serverless functions.
With the wrong architecture, application programming interface (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 as well as lost revenue.
We’re excited to share that Forrester has named Microsoft as a Leader in the inaugural report, The Forrester New Wave™: Function-As-A-Service Platforms, Q1 2020 based on their evaluation of Azure Functions.
Cloud computing has opened new paradigms that enable enterprises to reach new levels of productivity and scale.
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.