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Microservices have significantly altered the architecture of server-side processors. Rather than a single massive monolithic codebase containing all of your application’s business logic, microservices adhere to the distributed systems concept, in which a collection of application components collaborate to meet business goals. You may create a streamlined microservices ecosystem free of superfluous architectural complications by adhering to microservices industry standards.

AWS Fargate is a serverless compute engine that allows you to deploy containerized applications with services such as Amazon ECS without needing to manage the underlying virtual machines. Deploying with Fargate removes operational overhead and lowers costs by enabling your infrastructure to dynamically scale to meet demand. We are proud to partner with AWS for its launch of support for AWS Fargate on Windows containers.

Starting building Logic Apps thru the Azure Portal is, without a doubt, the most intuitive and fast approach. It doesn’t require any additional tool or software, it doesn’t require a Visual Studio license, and almost all beginner tutorials or documentation use this approach. And finally, all types of users are familiar with the Azure Portal. But not everything is perfect, and one of the most difficult best practices to implement is a proper API Connection naming convention.

AWS Fargate is a serverless compute engine that allows you to deploy containerized applications on services like Amazon ECS without needing to provision or manage compute resources. Now, Datadog is proud to be a launch partner with Amazon for their support of AWS Fargate workloads running on Graviton2, Amazon’s proprietary ARM64 processor.

A single Kubernetes cluster expends a small percentage of its total available assigned resources on delivering in-cluster networking. We don’t have to be satisfied with this, though—achieving the lowest possible overhead can provide significant cost savings and performance improvements if you are running network-intensive workloads.

Ubuntu is the platform of choice for deploying and running workloads on public clouds. No other operating system gives you better performance and consistency of experience across public clouds, including Amazon, Azure, Google, IBM and Oracle. There is a reason behind this exceptional experience. By design, Ubuntu images in public clouds include an optimized Linux kernel for each cloud, giving you the best performance and functionality across all instance types and services.