
Acing the System Design Interview
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Narrated by:
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Julie Brierley
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By:
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Zhiyong Tan
About this listen
The system design interview is one of the hardest challenges you'll face in the software engineering hiring process. This practical book gives you the insights, the skills, and the hands-on practice you need to ace the toughest system design interview questions and land the job and salary you want.
In Acing the System Design Interview, you will master a structured and organized approach to present system design ideas like:
+ Scaling applications to support heavy traffic.
+ Distributed transactions techniques to ensure data consistency.
+ Services for functional partitioning such as API gateway and service mesh.
+ Common API paradigms including REST, RPC, and GraphQL.
+ Caching strategies, including their tradeoffs.
+ Logging, monitoring, and alerting concepts that are critical in any system design.
+ Communication skills that demonstrate your engineering maturity.
Don't be daunted by the complex, open-ended nature of system design interviews! In this in-depth guide, author Zhiyong Tan shares what he's learned on both sides of the interview table. You'll dive deep into the common technical topics that arise during interviews and learn how to apply them to mentally perfect different kinds of systems.
About the technology:
With a little careful prep work you can turn those open-ended questions and whiteboard sessions into your competitive advantage! In this powerful book, Zhiyong Tan reveals practical interview techniques and insights about system design that have earned developers job offers from Amazon, Apple, ByteDance, PayPal, and Uber.
About the book:
Acing the System Design Interview is a masterclass in how to confidently nail your next interview. Following these easy-to-remember techniques, you'll learn to quickly assess a question, identify an advantageous approach, and then communicate your ideas clearly to an interviewer. As you work through this book, you'll gain not only the skills to successfully interview, but also to do the actual work of great system design.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Story
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.
By: James Phoenix, and others
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Deep Learning with Python (Second Edition)
- By: Francois Chollet
- Narrated by: Derek Dysart
- Length: 15 hrs and 1 min
- Unabridged
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Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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Audible version is useless - has no PDF
- By Jim on 03-04-22
By: Francois Chollet
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Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- By: Chip Huyen
- Narrated by: Kathleen Li
- Length: 15 hrs
- Unabridged
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Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.
By: Chip Huyen
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Site Reliability Engineering
- How Google Runs Production Systems
- By: Betsy Beyer, Chris Jones, Jennifer Petoff, and others
- Narrated by: Liz Porter
- Length: 20 hrs and 8 mins
- Unabridged
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In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient - lessons directly applicable to your organization.
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Google propaganda
- By Andreas Andersen on 03-30-22
By: Betsy Beyer, and others
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