Implementing Software Architecture of a Large-Scale System

Designed for software engineers, tech leads, and aspiring system architects, this course offers a practical, code-first deep dive into the engineering principles required to design and deploy large-scale distributed systems. Led by Anurag Yadav of NewTechWays, the curriculum moves away from abstract high-level diagrams to focus on concrete, hands-on implementation details. Learners will master critical architectural pillars such as horizontal scalability, fault tolerance, high-performance caching, and end-to-end observability using a modern open-source technology stack. Throughout the course, you will work directly with industry-standard tools including Redis for caching, RabbitMQ for asynchronous message-driven communication, Elasticsearch and Fluentd for robust centralized logging, and Kubernetes for container orchestration. By building and running a fully functional mini-system on a local machine as well as deploying it to cloud environments, students gain the confidence needed to tackle real-world system bottlenecks. The practical lab approach ensures that you do not just understand these patterns theoretically, but also know exactly how to write configuration files, configure network communication, and debug live deployments.