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

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805124993

Length 384 pages

Edition 1st Edition

Concepts

Application Development

Authors (2):

Dhirendra Sinha

Tejas Chopra

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Table of Contents (21) Chapters

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

Kinesis

Kinesis is a cloud-based service from Amazon Web Services (AWS) that facilitates real-time processing of large data streams. Kinesis is designed to handle massive amounts of data with very low latencies, making it an ideal solution for real-time analytics, log and event data processing, and large-scale application monitoring. Kinesis comprises several core components, each serving distinct roles in the stream processing ecosystem:

Kinesis Data Streams form the backbone of the Kinesis service. They enable the capture and processing of large data records in real time. Data producers, ranging from log generators to real-time event sources, continuously feed data into these streams. The flexibility of Kinesis Data Streams lies in their ability to handle high-throughput ingestion from multiple sources simultaneously, making them ideal for scenarios requiring immediate data processing and analysis.
Kinesis Data Firehose complements Kinesis Data Streams by facilitating...