NestJS Microservices: Build a Distributed Job Engine

Master the art of creating scalable and distributed microservices with NestJS by developing a fully functional Job Engine from scratch—a distributed task processing system. The course will teach you to build microservices the right way: from architecture and design to deployment and scaling in production.

You will start with setting up a monorepo with Nx to efficiently manage multiple services within a single codebase. Using gRPC, you will implement high-performance, low-latency communication between services. Special attention is given to Apache Pulsar—a distributed messaging system that allows multiple consumers to connect to a shared queue for achieving horizontal scaling. To interact with the system, you will create a GraphQL API, providing flexible and convenient data access.

Security is one of the key aspects of the course: you will implement JWT-based authentication with secure HTTP-only cookies. The entire code is built on the principles of object-oriented design and DRY, making the architecture clean, modular, and easily maintainable as the project grows.

You will optimize Docker container builds, apply Nx libraries, and separate package.json for flexible dependency management. You will learn techniques for horizontal scaling so that your services can handle increasing loads. As the engine develops, task state tracking will be implemented, allowing you to monitor the progress of task execution.

For database work, Prisma ORM and Drizzle ORM are used with PostgreSQL for type-safe migrations and optimized queries. The final stage will be deployment in Kubernetes using AWS, a custom domain, and SSL encryption.

By the end of the course, you will have a fully operational distributed Job Engine and a systematic understanding of how to design, develop, and run scalable microservices on NestJS in real production environments.