DIVERSITY Blog

In the tech world, few decisions are as critical as changing the backbone of a company’s messaging infrastructureYet that’s exactly what DIVERSITY, a cloud-native company with a global presence and data centers in Europe and the Americas, decided to do. The reason? Kafka, a market standard, was no longer meeting the company’s performance expectations. And the replacement, though less well-known, proved to be a better fit with their philosophy: NATS.To understand this strategic shift in depth, we interviewed Elena Alonso, Director of Business Development and Marketing, and Sergio Ceballos, CTO of DIVERSITY.Elena Alonso: Why did you decide to reconsider the use of Kafka?Sergio Ceballos: Kafka served us well for years in many deployments. But over time, we began to notice that ... Read more

Understanding Apache KafkaAre you curious about how real-time data streaming works in modern tech systems? Apache Kafka is here to fascinate you. Initially developed by LinkedIn, Apache Kafka is a distributed, fault-tolerant, and highly scalable pub-sub messaging system. But what makes it stand out? It can handle real-time data feeds with high throughput, perfect for both data producers and consumers looking for effective data stream processing.Exploring Kafka StreamingLet's talk about Kafka Streaming, a powerful client library designed for data stream processing. This library is seamlessly integrated with Apache Kafka to transform and analyze data stored in Kafka topics. Essentially, Kafka Streaming serves as the backbone for real-time data transformation and analysis.📊Traditional Kafka v... Read more

What is Kafka?Apache Kafka, initially developed by LinkedIn, is a distributed, fault-tolerant, and highly scalable pub-sub messaging system. It enables applications to both publish and subscribe to real-time data feeds, boasting high throughput for both producers and consumers of record streams, and facilitating the real-time processing of these data streams.What is Kafka Streaming?Kafka Streams is a powerful client library for stream processing, deeply integrated with Apache Kafka. It allows for the transformation and analysis of data stored in Kafka topics.Kafka vs. Zero-Copy Kafka: Distinct FeaturesTraditional Kafka is renowned for its rapid data processing capabilities. However, 'zero-copy' Kafka enhances this further by utilizing an optimized data transfer mechanism... Read more

In a world where information flows at a dizzying pace, businesses that do not adapt to new technologies run the risk of being left behind. Data Streaming has become a fundamental tool for organizations that seek to make faster and smarter decisions based on real-time data.The power of real-time analysis:Imagine being able to analyze data as it is generated, without waiting for it to be processed and stored. Data Streaming allows businesses to obtain valuable information about their customers, operations, and market in real time. This means they can detect problems, identify opportunities, and make strategic decisions much faster than their competitors.Use cases in different sectors:Data Streaming can be applied in a wide variety of sectors, from finance to retail, manufacturing, an... Read more