Описание

Welcome to our comprehensive course curriculum designed to deepen your understanding of complex system design and performance optimization.

Course Curriculum Overview

Week 1: Introduction

An introduction to the course structure and content.
Insights into who will benefit most from this course.
A general overview of the key concepts to be discussed.

Week 2: Defining System Requirements

Understanding the essentials of system and functional requirements.
Exploring system attributes like high availability, fault tolerance, resilience, and reliability.
Discussion on scalability, performance, durability, consistency, maintainability, security, and cost implications.
A consolidated summary of all system requirements covered.

Week 3: Hardware’s Role in Achieving System Qualities

Overview of regions, availability zones, data centers, racks, and servers.
Differences between physical servers, virtual machines, containers, and serverless solutions.
Basics of reliable, scalable, and fast communication technologies.
Comparison of synchronous versus asynchronous communication and their respective messaging patterns.
In-depth look at network protocols, blocking versus non-blocking I/O, and data encoding formats.
The importance of message acknowledgment in maintaining data integrity.

Week 4: Enhancing System Performance through Caching

Techniques like deduplication and metadata caching to enhance system response times and efficiency.

Week 5: Queuing in Distributed Systems

The role of queues in managing data flow and ensuring smooth operation in distributed environments.
Challenges associated with full and empty queues and strategies to handle them such as blocking queues and the producer-consumer pattern.

Week 6: In-Depth into Data Store Internals

Examination of logs, indexes, time series data, and the fundamentals of databases like simple key-value stores and more complex structures like B-tree and LSM-tree.
Specific focus on embedded databases and technologies like RocksDB.

Week 7: Building Efficient Communications in Distributed Systems

Strategies for implementing effective communication protocols and services in distributed systems.
Evaluation of push versus pull technologies and their real-world applications.

Week 8: Ensuring Reliable Data Delivery

Methods to ensure data is delivered reliably across systems, including techniques for handling failures and optimizing message delivery.

Week 9: Strategies for Quick Data Delivery

Techniques like batching and compression to speed up data transfer.

Week 10: Scaling Data Delivery

Exploring how to effectively scale message consumption and utilize partitioning strategies within large-scale systems.

Week 11: Protecting Servers from Clients

Various techniques to prevent system overload and ensure smooth operation during high traffic periods.
Discussion on rate limiting, autoscaling, load shedding, and the use of circuit breakers to maintain system integrity.

Week 12: Course Wrap-Up

Summarizing key points from the course and previewing what’s next.

End of Course

This course concludes the current module but sets the stage for more advanced topics to be explored in upcoming modules. Our aim is to equip you with the skills necessary to design, optimize, and maintain scalable and efficient systems.

By the end of this course, you will have a detailed understanding of how to apply these principles to real-world scenarios, making you a valuable asset in any technology-driven environment. Join us to transform your knowledge into actionable skills that can significantly impact your career and organizational success.