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System Design Guide for Software Professionals

You're reading from   System Design Guide for Software Professionals Build scalable solutions – from fundamental concepts to cracking top tech company interviews

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805124993
Length 384 pages
Edition 1st Edition
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Authors (2):
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Dhirendra Sinha Dhirendra Sinha
Author Profile Icon Dhirendra Sinha
Dhirendra Sinha
Tejas Chopra Tejas Chopra
Author Profile Icon Tejas Chopra
Tejas Chopra
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Foundations of System Design
2. Chapter 1: Basics of System Design FREE CHAPTER 3. Chapter 2: Distributed System Attributes 4. Chapter 3: Distributed Systems Theorems and Data Structures 5. Part 2: Core Components of Distributed Systems
6. Chapter 4: Distributed Systems Building Blocks: DNS, Load Balancers, and Application Gateways 7. Chapter 5: Design and Implementation of System Components –Databases and Storage 8. Chapter 6: Distributed Cache 9. Chapter 7: Pub/Sub and Distributed Queues 10. Part 3: System Design in Practice
11. Chapter 8: Design and Implementation of System Components: API, Security, and Metrics 12. Chapter 9: System Design – URL Shortener 13. Chapter 10: System Design – Proximity Service 14. Chapter 11: Designing a Service Like Twitter 15. Chapter 12: Designing a Service Like Instagram 16. Chapter 13: Designing a Service Like Google Docs 17. Chapter 14: Designing a Service Like Netflix 18. Chapter 15: Tips for Interviewees 19. Chapter 16: System Design Cheat Sheet 20. Index

Kafka Streams

Kafka Streams is a powerful stream-processing library built on top of Apache Kafka. It allows developers to build scalable, fault-tolerant, and real-time stream processing applications using a high-level Domain-Specific Language (DSL) or a low-level Processor API. Kafka Streams enables you to process and analyze data directly within Kafka, eliminating the need for separate stream processing frameworks. The following are the key features of Kafka Streams:

  • Native Kafka integration: Kafka Streams is tightly integrated with Kafka, allowing seamless reading from and writing to Kafka topics. It leverages Kafka’s features, such as partitioning and replication, for fault tolerance and scalability.
  • High-level DSL: Kafka Streams provides a high-level DSL that simplifies the development of stream processing applications. The DSL includes operations such as map, filter, join, and aggregate, which can be combined to express complex processing logic declaratively...
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