Description
System Design Patterns: Building Scalable Distributed Systems. This course is a professional, advanced guide that teaches software engineers how to design distributed and scalable systems by understanding architectural patterns, communicating ideas, and evaluating tradeoffs. Designing software systems is more than just drawing a few simple diagrams and connecting boxes together. Rather than blindly memorizing architectural diagrams or ready-made solutions, this course teaches participants to deeply understand the engineering roots and reasons for using various tools such as Kafka, Redis, load balancers, data clustering, and caches. At scale, there is no perfect solution, and every decision involves tradeoffs between cost, latency, availability, and data consistency. In this training program, learners are introduced to the critical concepts of real-time communications, database internals, data scalability, failure and error management, synchronization, distributed transactions, queues, asynchronous systems, and event-driven patterns. Each pattern is first introduced through an examination of a real-world problem and then analyzed in expert interviews to determine how it works, its advantages, disadvantages, when to use it, and how to defend it. This approach helps developers strengthen the engineering thinking necessary to design their own systems rather than copying the architecture of others.
What you will learn
- Design distributed and scalable systems using proven patterns to handle high traffic, data growth, errors, and system complexities
- Analyze trade-offs between caching, data replication, clustering, queues, data consistency, synchronization, and synchronous versus asynchronous communications.
- Designing stable and reliable systems using circuit breakers, request rate limiting, retries, isolation, and controlled destruction
- Solve advanced problems in system design using query and command separation of responsibilities, event sourcing, data change logging, and distributed transactions
- An in-depth look at key concepts in system design and how to explain the logic of answers in specialized job interviews
This course is suitable for people who:
- Software developers and engineers preparing for system design interviews, especially at senior and senior-level positions
- Engineers who want to learn how to design and implement scalable and stable distributed systems in real-world environments
- Developers who are familiar with the basics of system design and want to deepen their knowledge
- Anyone who wants to learn the structural patterns behind large, high-profile systems in a structured way
Course Description: System Design Patterns: Building Scalable Distributed System
- Publisher: Udemy
- Instructor: Yogesh Dahake
- Training level: Beginner to advanced
- Training duration: 20 hours and 48 minutes
- Number of lessons: 157
Course headings
Prerequisites for the System Design Patterns: Building Scalable Distributed System course
- Basic programming knowledge and familiarity with APIs, databases, and common software development concepts.
- No specific programming language or cloud platform is required.
- Basics of software engineering
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
25.3 GB