: Explores how services talk to each other, covering: Request-Response vs. Publish-Subscribe . Push, Polling, and Long Polling models.
The course is structured around how information moves through a network and how servers manage that data.
You cannot fix what you cannot see. Implementing centralized logging (ELK stack), metrics collection (Prometheus/Grafana), and distributed tracing (Jaeger) allows engineers to pinpoint exactly which microservice or database query caused a slowdown. Summary: Building a Engineering Mindset
Disclosure: This article is an independent review. While we aim to provide accurate, up-to-date information, always check the current course syllabus and instructor credentials on Udemy before purchasing. udemy fundamentals of backend engineering
How a server manages hardware resources determines its ultimate scale.
: Knowing when to keep a persistent connection open.
Developed by Google, gRPC is a high-performance, open-source remote procedure call (RPC) framework. It uses HTTP/2 for transport and Protocol Buffers (Protobuf) as its interface description language, offering much faster serialization than standard JSON. 2. API Design Styles: Structuring the Interface : Explores how services talk to each other,
In the modern digital era, the user interface (UI) is what everyone sees. It’s the glossy button, the smooth animation, the responsive search bar. But behind every great frontend lies a silent, powerful engine: the backend. If you have ever wondered how Instagram stores your photos, how Netflix remembers what episode you are on, or how your bank keeps your balance secure, you are curious about backend engineering.
Uses a single-threaded event loop to register requests. When an asynchronous task (like a file read or network call) finishes, a callback alerts the loop. This allows one thread to handle tens of thousands of concurrent connections efficiently. Horizontal vs. Vertical Scaling When traffic spikes, you have two options:
: The role of Layer 4 and Layer 7 proxying , reverse proxies, and the Sidecar pattern. Pros and Cons Based on Student Reviews The course is structured around how information moves
Introduces massive operational complexity. Engineers must handle network latency, distributed data consistency, and complex service-to-service authentication. 6. Execution Models: Performance and Concurrency
, is a highly-rated (4.7/5) intermediate-to-advanced program focused on the underlying "first principles" of backend systems. Unlike typical tutorials that focus on specific languages or frameworks, this course emphasizes communication patterns, protocols, and the journey of data through a system. Course Overview Primary Objective