‘Microservices’ and ‘Microservice-based architecture’ are concepts that are experiencing a rapid increase in popularity throughout the developer community and it’s ability to deliver simplicity in an increasingly complex web of applications, systems and databases is evident. But despite the popularity of microservice-based architecture, you may wonder what makes it so special. What are microservices and why should you join the trend?

A significant part of breaking a monolithic application into microservices involves a redesign of how the application manages data — usually through a data management strategy called “information hiding.” In this respect, breaking a monolith into microservices isn’t just about establishing clear separations between the code for different services. It’s also about creating clear separations between the data that each microservice interacts with. Why information hiding?

Most individuals who work in technology — and in particular, cloud computing — are likely aware of how service-oriented architecture (SOA) and microservices work. There is much discussion, however, regarding the best approaches for various situations. There are crucial differences in data governance, component sharing, and the architecture between SOA vs. microservices. In this article, you'll learn the basics of SOA vs.

The demand for digital transformation has accelerated, with 62% of technology leaders sharing that they fear they are at risk of being displaced by competitors who innovate more quickly. Enterprises are increasingly transitioning from monolithic to microservices architecture, with the goal to accelerate application development, speed up innovation and reduce time to market.

As we've discussed in our previous Service Discovery post, decoupled services in a microservice architecture communicate via APIs. But what about the communication between clients outside of your system and the services within your application? How does that communication work? An API gateway is a powerful component in a microservice architecture. Pairing its functionality with a serverless platform like Koyeb saves engineering teams time and maximizes computing resources efficiency.

Whether you're transitioning away from a monolith or building a green-field app, opting for a microservice architecture brings many benefits as well as certain challenges. These challenges include namely managing the network and maintaining observability in the microservice architecture. Enter the service mesh, a valuable component of modern cloud-native applications that handles inter-service communication and offers a solution to network management and microservice architecture visibility.

Microservices are a hot topic in the tech world and with good reason. These tiny systems form the backbone of a composable enterprise and most digital transformation strategies. They provide unmatched flexibility to businesses previously bound by monolithic application suites. But they present potential downsides when it comes to data management. In this article we’ll explore in more detail the relationship between microservices and master data management.

In previous posts, we covered the basics of a C++ Microservices deployment including: With those basics in place, this blog will focus on optimization of the container in a C++ Microservices deployment. We'll examine how to structure the Dockerfile and the resulting Docker image to reduce the number of layers and disk space used.