Systems | Development | Analytics | API | Testing

February 2022

Using gRPC with Python

Microservice is now the architecture of choice for many developers when crafting cloud-native applications. A microservices application is a collection of loosely coupled services that communicate with each other, enhancing collaboration, maintainability, scalability, and deployment. There are several options for enabling this communication between microservices. REST is the most popular among developers, sometimes used synonymously with APIs. However, gRPC can be a better alternative to REST.

Distributed Monoliths vs. Microservices: Which Are You Building?

The concept of microservices has been popular for several years. As a result, many developers, companies have started building their applications using a microservices architecture. There are several reasons why a company or developer would want to move to microservices, including building a scalable application, maintaining the developer’s productivity without relying on each other, etc. Your teams start to build microservices by containerizing applications etc.

Ensuring Quality in Microservices Architecture with Support for gRPC Testing

Microservices architecture. Many organizations today recognize it enables faster and easier software changes over more traditional monoliths. Microservices have become the backbone for how organizations develop cloud-native applications – programs that run independently in containers designed for cloud computing architectures.