Author: Sveta Gimpelson

Messaging systems are game-changers in modern software development, enabling communication between different components of a system. They also help tackle the challenge of processing a high volume of data efficiently while ensuring reliable service delivery, real-time data processing, and secure data transfer between systems.

As messaging systems for modern applications continue to evolve, NATS and Kafka have emerged as part of the most popular options in the market today. Both NATS and Kafka are open-source and have gained a lot of traction due to their reliability, efficiency, and scalability. However, there are several differences between the two, and deciding upon the appropriate messaging system can considerably impact your application. In this article, we will explore the differences between NATS and Kafka in terms of category ranking features, limitations, use cases, and capabilities.

Recently, all types of businesses are beginning to use automated systems to perform their functions effectively. With ever-growing and changing business requirements, there is a need for modern, robust applications that can constantly adapt to business needs. To create such applications successfully, you should choose the right architecture. One of the most efficient modern architectures is event-driven architecture. In this article, we will explain in detail how it works, the ways to implement it, and its main advantages.

Why Does the Old Architecture Not Meet Modern Requirements?

Modern applications are very different from those that were ten years ago. Now there are opportunities to store data in the cloud, split data storage into parts, and move data in real-time between different parts of the globe. Modern applications need to run continuously and seamlessly and be elastic, global, and cloud-based.

The amount of data that needs to be processed, filtered, connected, and stored is constantly growing. Companies that can process the data quickly have an advantage. Ideally, it should happen in real-time. Event-driven architectures are used for this.

Such architectures allow exchanging messages in real-time, storing them in a single database, and using distributed systems for sending and processing messages.

As more and more teams have started to look for solutions that can help them unlock the full potential of their systems and people, decentralized architectures have started to become more and more popular. Whether it’s cryptocurrencies, microservices, or Git, decentralization has proven to be an effective method of dealing with centralized bottlenecks. Along the same lines, one approach to decentralizing control of data is using a data mesh. But what really is it, and how can it help? Let’s take a closer look at the concept and review the data mesh architecture to understand its benefits better.

Data Challenges in Enterprises

It’s no secret that organizations have come quite a long way in their data journey. However, they still have their set of challenges that prevents them from leveraging the full benefits of data. These challenges include: