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Introduction to Stream Data Processing Stream data processing is a critical component of modern data-driven applications, enabling real-time insights and decision-making. Two prominent frameworks in this domain are Apache Beam and Apache Flink. Both offer powerful tools for handling large-scale data streams, but they differ significantly in their approaches, features, and use cases. In this article, we’ll delve into the world of stream processing, comparing these two frameworks to help you choose the best fit for your project....

Introduction to Agile and Waterfall In the world of software development, two methodologies have dominated the landscape for years: Agile and Waterfall. Agile, with its iterative and flexible approach, has become the darling of many developers and project managers. However, this doesn’t mean it’s always the best choice. In fact, there are scenarios where Waterfall, with its linear and structured approach, is not only more suitable but also more effective....

Introduction to the Dilemma In the world of software development, the age-old debate between “build” and “buy” has been a recurring theme. When it comes to analytics platforms, this dilemma becomes even more pronounced. While building your own analytics solution might seem like a noble pursuit, it’s often a path fraught with challenges. In this article, we’ll delve into why most developers should reconsider writing their own analytics platforms and instead opt for existing solutions....

Introduction to the Dilemma Writing a database engine from scratch can be an alluring challenge for many developers. It’s like trying to build a car from scratch—sounds exciting, but is it really worth the effort? In this article, we’ll explore why most developers should avoid this endeavor and instead focus on leveraging existing, well-tested database systems. Challenges in Database Development Developing a database engine is a complex task that involves addressing several critical challenges:...

Introduction to API Gateways In the world of microservices, managing multiple backend APIs can become a complex puzzle. This is where API gateways come into play, acting as a single entry point for your APIs, simplifying client interactions, and offloading routing logic from your backend services. In this article, we’ll embark on a journey to build a high-performance API gateway using Go, focusing on key features like service registration, reverse proxying, rate limiting, and optional authorization....