The article delves into the working mechanism of Apache Kafka, a distributed event streaming platform. It explains the architecture, components, and key features that enable Kafka to handle real-time data feeds efficiently. Understanding Kafka's capabilities can help developers and organizations optimize their data processing strategies.

Apache Airflow has evolved significantly since its inception, yet misconceptions about its architecture and performance persist. This article debunks common myths regarding Airflow's reliability, scalability, data processing capabilities, and versioning, highlighting improvements made in recent versions and the advantages of using managed services like Astro.

The article details the architecture and design principles behind Husky, a query engine developed for efficient data processing. It emphasizes the use of modular components and the integration of various technologies to optimize performance and scalability in handling large datasets. The discussion includes insights into the challenges faced and the solutions implemented during the development process.