2
Jul
/
The Battle of the Clouds
Today’s data landscape is overflowing with complex and sophisticated architectures, which can help you dynamically customize your digital ecosystem according to your project requirements and needs. Unfortunately, managing complex cloud architectures can be a difficult task, especially if you are trained to use one cloud vendor and not any of the others. Database as a Service (DBaaS) offerings can help you fill this gap. DBaaS models provide cloud users with managed database offerings. This article reviews DBaaS models offered by the top three cloud vendors—AWS, Azure, and Google Cloud.
15
Dec
/
Long-Running Workflows as Serverless Functions in Azure
Azure Functions have many features that make your work easier. However, they are less suitable for long-running processes. This is where Durable and Entity Functions can help.
14
Sep
/
Serverless Java: Reduce Infrastructure Overhead
Java is still the first choice when it comes to software development for business use [1]. However, the development of Java software alone is not enough: machines, operating systems, JREs, application servers, etc. are required for productive use - and large frameworks and libraries are also required as the basis for code functionality. This overhead hurts more the simpler the required functionality is, because it makes development, testing, and operation more difficult. The alternative concept: Serverless.
19
Aug
/
Serverless Microservices using Azure examples
Why does it have to be "Serverless or Microservices"? It should be "Microservices with Serverless"! Based on some of the generally accepted principles of microservices, we can use serverless architectures and technologies to build highly focused microservices. Let's take a pragmatic and concise approach to building microservices with Azure Functions, Azure Service Bus, Azure Storage, and other services and tools. And it works for almost all software developers: Java, .NET, Node.js, and even Python.