Udemy Fundamentals Of Backend Engineering ❲PROVEN | Choice❳
Think of a database index like the index at the back of a textbook. Instead of scanning every row in a table (a full table scan), an index allows the database engine to locate data almost instantly, dramatically speeding up SELECT queries at the cost of slightly slower writes.
Backend engineering is more than just writing APIs or connecting databases.It requires a deep understanding of network communication, hardware limitations, and software design patterns.This course unpacks those exact complexities.
Your server is waiting.
The course dives into the technical details of how clients and servers interact, covering: Backend Communication Design Patterns: udemy fundamentals of backend engineering
If you are looking to deepen your practical knowledge of these concepts, tell me about your background:
Proxies manage traffic and secure your network. The course highlights the difference between Layer 4 (Transport layer routing based on IP and port) and Layer 7 (Application layer routing based on HTTP headers and cookies). Who is This Course For?
: Creating communication bridges between systems. Think of a database index like the index
These offer flexible, schema-less data structures. They can be document-based, key-value stores, graph databases, or wide-column stores. NoSQL databases favor horizontal scalability and high availability, making them ideal for unstructured big data, real-time analytics, and caching. Database Fundamentals to Master
While the core transport vehicles are limited to TCP or UDP, numerous industry-specific protocols are built on top of them. This section provides a deep dive into high-level protocols including HTTP/1.1, HTTP/2, HTTP/3, gRPC, and WebRTC, as well as transport protocols like QUIC.
Nasser runs a popular YouTube channel where he covers a wide range of software engineering topics, including databases, proxies, security, networking, protocols, and programming. He also hosts "The Backend Engineering Show" podcast, where he discusses all sorts of software engineering technologies with a specific focus on the backend. With over 37,000 students in his courses, his teaching style—characterized by using diagrams and real-world examples to explain complex topics in a clean, easy-to-follow way—has earned him widespread praise. Your server is waiting
Uses a single-threaded event loop to handle thousands of concurrent connections. Instead of waiting (blocking) for a database query or file read to finish, the event loop registers a callback and immediately moves on to the next request. This makes it highly efficient for I/O-bound applications.
: Understanding B-Trees and LSM-Trees to accelerate read queries at the cost of write storage.
: Conceptual deep dives paired with practical, language-agnostic demonstrations. Key Modules and What You Will Learn
Without an index, finding a specific database row requires a sequential scan of the entire disk. An creates an optimized pointer system (often using B-Trees or Log-Structured Merge-trees). This allows the database to locate records in a fraction of a millisecond, though it comes at the cost of slower write times and increased storage. ACID Properties vs. BASE Consistency
Routes traffic to the server currently handling the fewest active requests.