Node.js: Architecture, Security, and Ecosystem Performance Guide | Uplatz

Node.js has become a cornerstone of modern backend and full-stack development, powering APIs, microservices, real-time systems, and large-scale cloud platforms. Its event-driven, non-blocking architecture enables high throughput and scalability—but building production-grade systems requires a deep understanding of Node.js internals, security practices, and ecosystem performance trade-offs. This video provides a comprehensive guide to Node.js architecture, security, and performance across its ecosystem.

This Uplatz Explainer breaks down Node.js’s core architecture, including the event loop, call stack, libuv, asynchronous I/O, worker threads, and the interaction between JavaScript and native system resources. You’ll learn how Node.js achieves concurrency, where it excels, and where architectural care is required to avoid bottlenecks.

The video dives into performance foundations, covering CPU-bound vs I/O-bound workloads, memory management, garbage collection behavior, clustering, horizontal scaling, and profiling techniques. We explain how framework choices, dependency usage, and runtime configuration influence real-world Node.js performance.

A major focus of the session is security in the Node.js ecosystem. You’ll gain insight into common attack vectors such as dependency vulnerabilities, injection attacks, insecure deserialization, and misconfigured middleware. We also cover best practices around input validation, authentication, authorization, secrets management, TLS, dependency auditing, and securing Node.js applications in production.

The video also explores the broader Node.js ecosystem, including frameworks, tooling, package management, and operational considerations. You’ll understand how ecosystem choices affect maintainability, performance, and long-term stability in large codebases.

This video is ideal for backend developers, full-stack engineers, DevOps teams, architects, and technology leaders who want to build secure, scalable, and high-performance systems with Node.js—grounded in architectural understanding rather than trial-and-error.

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