Azure Service Fabric – announcing Reliable Services on Linux and RHEL support
Many customers are using Azure Service Fabric to build and operate always-on, highly scalable, microservice applications.
Many customers are using Azure Service Fabric to build and operate always-on, highly scalable, microservice applications.
Keep current on what’s happening in Azure, including what’s now in preview, generally available, news & updates, and more.
Are you now ready to dig into what you can actually do with real code using serverless computing cloud services like Azure Functions?
Microservices have become a popular architectural style for building cloud applications that are resilient, highly scalable, and able to evolve quickly. To be more than just a buzzword, however, microservices require a different approach to designing and building applications.
Last week in Azure brought Open Service Broker for Azure, community projects and partnerships to extend what you can do with Kubernetes and Azure, and several storage-optimized and burstable VM sizes are now available in GA.
Starting today, the Kubernetes community comes together at KubeCon in Austin, Texas, with the goal of making it easier than ever to use containers to modernize existing applications and manage new applications to drive digital transformation
Today, we are proud to announce the preview of Azure Container Service (AKS), our new managed Kubernetes service.
Five highlights from last week in Azure for the week of October 2, 2017.
Serverless provides a great model for accelerating app development, but developers want to do it using the programming languages and development tools of their choice.
With the increased popularity of serverless, we hear from developers from all kinds of backgrounds and preferences. Many of them are building truly impressive serverless applications.
Azure Service Fabric is the foundational microservices and orchestration platform that powers core Azure infrastructure.
Customers often ask us about the scalability and throughput limits of the consumption plan for Azure Functions. The short answer is always “it depends, what does your workload look like?”.