NestJS Microservices: Build a Distributed Job Engine
NestJS Microservices: Build a Distributed Job Engine Udemy Coupon Code by Michael Guay, Master NestJS Microservices by Building a Scalable, Distributed Job Engine with gRPC, Pulsar, Kubernetes & AWS
NestJS Microservices Course Overview
Course Description
Master the art of building scalable, distributed microservices with NestJS by developing a fully functional job engine from the ground up. This course is designed to teach you NestJS Microservices the right way, covering everything from architecture and design to deployment and scaling in production.
You’ll start by setting up a monorepo with Nx, allowing you to manage multiple services within a single codebase efficiently. Using gRPC as the transport layer, you’ll enable high-performance, low-latency communication between services. The course dives into Apache Pulsar, a powerful distributed messaging system, that allows us to add multiple consumers to a shared queue & achieve scale. You’ll also expose a GraphQL API, providing a flexible and efficient way to interact with your microservices.
Security is a core focus, and you’ll implement JWT-based authentication with secure, HTTP-only cookies. Throughout the course, everything is built using object-oriented design principles, ensuring a clean, modular, and reusable codebase that follows DRY (Don’t Repeat Yourself) principles. This makes your codebase more maintainable as it scales.
You’ll also optimize your Docker setup, using Nx libraries with separate package.json files for better dependency management. Horizontal scaling techniques will ensure your services can handle increasing workloads efficiently. As your job engine matures, you’ll implement job state tracking, allowing you to monitor job progress.
For database management, you’ll use Prisma ORM and Drizzle ORM with PostgreSQL, ensuring type safety, migrations, and optimized queries. Finally, you’ll deploy everything to Kubernetes, taking your microservices to production with AWS, a custom domain, and SSL encryption.
By the end of this course, you’ll have a fully operational distributed job engine with robust state tracking and the expertise to design, develop, and deploy scalable NestJS microservices in real-world production environments.
What you’ll learn
- Build a fully functional distributed job engine using NestJS microservices
- Structure a scalable monorepo using Nx for efficient development and dependency management
- Implement gRPC as the transport layer for high-performance, low-latency communication
- Use Apache Pulsar for distributed messaging and reliable job processing
- Expose a GraphQL API for flexible data access and interaction
- Secure microservices with JWT authentication and HTTP-only cookies
- Apply object-oriented design principles to keep code modular, reusable, and maintainable
- Implement horizontal scaling to efficiently handle high workloads
- Optimize Dockerization with Nx libraries and independent package.json files
- Use Prisma ORM and Drizzle ORM with PostgreSQL for robust database management
- Deploy microservices to Kubernetes with best practices for production readiness
- Set up a production-grade AWS deployment with a custom domain and SSL encryption
- Gain hands-on experience designing, developing, and deploying real-world NestJS microservices
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Course Reviews
This course offers a comprehensive and well-structured introduction to NestJS. the instructor, brings a wealth of expertise in Programming, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of Microservices, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, the instructor explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the NestJS Microservices: Build a Distributed Job Engine to anyone looking to learn NestJS. This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
Course Rating