Microservices have become a popular way to architect applications, particularly those that compose functionality from a variety of loosely coupled systems and services. While there are a variety of frameworks and tools for implementing a microservice architecture, it isn’t always clear how to expose native code like C or C++ code within a wider microservice system. That’s where HydraExpress comes in.

Microservices, also known as microservices architecture, refers to a method of designing and developing software systems. Microservice architecture is becoming increasingly popular as developers create larger and more advanced apps. The goal is to help enterprises become more Agile, especially as they adopt a culture of continuous testing. Here are the basic features of microservices.

Conventional wisdom says that new app development projects should begin as monolithic systems. This perspective suggests that you should wait until later to refactor the monolith into a microservices-based architecture — i.e., don’t use microservices until your use-case and scaling demands require them. But is this viewpoint still correct?

In this article, we’ll cover the key differences between APIs and microservices as answered by our contributors consisting of senior decision-makers and CTOs from technology companies around the world. One of the most popular ways to consume data from a web service is through a web application programming interface (API). By interface, we are referring to an agreement, or schema, that anyone using this API must abide by.

Node.js application developers, in the ever-evolving business landscape, enjoy tangible advantages while incorporating microservices in Node.js apps development. The microservice architecture, or microservices, is a distinct method of software systems development, which attempts to create modules that are single-function, with well-defined operations and interfaces.

Let’s admit it – web services (SOAP) are here to stay for a few more years, and maybe for a long time in some places where there is no business incentive to rebuild them. However, with a decline in new SOAP web services and most applications moving to cloud native architectures, a common query is “how can we support legacy services while moving to microservices?”

Microservices are small, independently-running applications that perform a single function for a larger application or IT infrastructure. By loosely connecting a number of them together, developers create a pluggable architecture that facilitates the process of updating, upgrading, and scaling the application in response to changing requirements.

A lot has happened in the world of APIs management taking us from Monolithic methods to Microservices. From the agile method to the Internet of Things, software development is full of hot trends. They promise to revolutionize the tech industry for years to come. Some of these trends are truly revolutionary, while others are simply a flash in the pan. Software developers’ tend to chase after shiny objects.

Today, service architecture is becoming increasingly complex with the explosion of new software techniques such as microservices. However, the performance of a system often is dependent on engineers’ ability to debug gnarly problems. The increase in complexity that comes with new microservices architectures makes debugging that much harder. In fact, some companies are considering reverting back to monoliths because of the increased difficulty of debugging, among a host of other challenges.

In the first post of this series, we looked at the state of your organization, how to tell if Microservices are right for you, and wrapped up with a few challenges this architecture brings to the table. In this article, we will look at organizational changes that will help you adopt a Microservice architecture. Additionally, we will touch on topics like how to bring change to your organization, how to embrace the primacy effect, and why you should embrace cross-functional teams.