Designing Distributed Systems (2nd Edition)
Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
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Designing Distributed Systems (2nd Edition)
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Narrado por:
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Tom Beyer
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De:
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Brendan Burns
Acerca de esta escucha
Every distributed system strives for reliability, performance, and quality, but building such a system is hard. Establishing a set of design patterns enables software developers and system architects to use a common language to describe their systems and learn from the patterns and practices developed by others.
The popularity of containers and Kubernetes paves the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help guide the systems you build using common patterns and practices drawn from some of the highest performing distributed systems in use today. These common patterns make the systems you build far more approachable and efficient, even if you've never built a distributed system before.
Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.
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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Historia3.5 out of 5 stars 5
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
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5 out of 5 stars
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I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
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Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
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General4.5 out of 5 stars 274
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Narración:5 out of 5 stars 226
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Historia4.5 out of 5 stars 223
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
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5 out of 5 stars
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Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
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Monolith to Microservices
- Evolutionary Patterns to Transform Your Monolith
- De: Sam Newman
- Narrado por: Mitchell Dorian
- Duración: 6 h y 45 m
- Versión completa
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General4.5 out of 5 stars 114
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Narración:5 out of 5 stars 96
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Historia4.5 out of 5 stars 96
How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.
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5 out of 5 stars
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Pretty good, but could be better
- De Uri Simhony en 04-11-21
De: Sam Newman
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The Developer's Playbook for Large Language Model Security
- Building Secure AI Applications
- De: Steve Wilson
- Narrado por: Jonathan Yen
- Duración: 8 h y 27 m
- Versión completa
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General5 out of 5 stars 1
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Narración:5 out of 5 stars 1
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Historia5 out of 5 stars 1
Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.
De: Steve Wilson
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Building Microservices
- Designing Fine-Grained Systems
- De: Sam Newman
- Narrado por: Theodore O'Brien
- Duración: 21 h y 12 m
- Versión completa
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General5 out of 5 stars 105
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Narración:5 out of 5 stars 82
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Historia4.5 out of 5 stars 81
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
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5 out of 5 stars
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Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
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Engineering Resilient Systems on AWS
- Design, Build, and Test for Resilience
- De: Nate Bachmeier, Kevin Schwarz, Jennifer Moran
- Narrado por: Brandon Pollock
- Duración: 10 h y 30 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs.
De: Nate Bachmeier, y otros
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Software Engineering at Google
- Lessons Learned from Programming Over Time
- De: Titus Winters, Tom Manshreck, Hyrum Wright
- Narrado por: Mark Sando
- Duración: 23 h y 36 m
- Versión completa
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General4.5 out of 5 stars 214
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Narración:4.5 out of 5 stars 174
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Historia4.5 out of 5 stars 173
How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
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2 out of 5 stars
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not useful
- De Andreas Andersen en 07-21-21
De: Titus Winters, y otros
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Production Kubernetes
- Building Successful Application Platforms
- De: Josh Rosso, Rich Lander, Alex Brand, y otros
- Narrado por: Mike Chamberlain
- Duración: 17 h y 34 m
- Versión completa
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General5 out of 5 stars 1
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Narración:5 out of 5 stars 1
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Historia5 out of 5 stars 1
Kubernetes has become the dominant container orchestrator, but many organizations that have recently adopted this system are still struggling to run actual production workloads. In this practical book, four software engineers from VMware bring their shared experiences running Kubernetes in production and provide insight on key challenges and best practices.
De: Josh Rosso, y otros
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Tidy First?
- A Personal Exercise in Empirical Software Design
- De: Kent Beck
- Narrado por: Stephen R. Thorne
- Duración: 2 h y 41 m
- Versión completa
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General4 out of 5 stars 5
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Narración:4 out of 5 stars 4
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Historia5 out of 5 stars 4
Messy code is a nuisance. "Tidying" code, to make it more readable, requires breaking it up into manageable sections. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might apply tidyings to improve your code while keeping the overall structure of the system in mind. Instead of trying to master tidying all at once, this book lets you try out a few examples that make sense for your problem. If you have a big function containing many lines of code, you'll learn how to logically divide it into smaller chunks.
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2 out of 5 stars
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do yourself a favor and skip the audio book
- De goranche en 04-30-25
De: Kent Beck
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Generative Deep Learning (2nd Edition)
- Teaching Machines to Paint, Write, Compose, and Play
- De: David Foster
- Narrado por: Mike Cooper
- Duración: 11 h y 30 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.
De: David Foster
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
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General4.5 out of 5 stars 26
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Narración:4.5 out of 5 stars 20
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Historia4.5 out of 5 stars 20
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
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5 out of 5 stars
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
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Data Engineering Design Patterns
- Recipes for Solving the Most Common Data Engineering Problems
- De: Bartosz Konieczny
- Narrado por: Charles Constant
- Duración: 11 h y 15 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.
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Solutions Architect's Handbook
- Kick-Start Your Solutions Architect Career by Learning Architecture Design Principles and Strategies
- De: Saurabh Shrivastava, Neelanjali Srivastav
- Narrado por: Mark Armstrong
- Duración: 17 h y 48 m
- Versión completa
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General4.5 out of 5 stars 13
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Narración:4.5 out of 5 stars 10
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Historia4.5 out of 5 stars 10
Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.
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2 out of 5 stars
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Audio isn't a good fit for material
- De William May en 04-05-23
De: Saurabh Shrivastava, y otros
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Data Mesh
- Delivering Data-Driven Value at Scale
- De: Zhamak Dehghani
- Narrado por: Zura Johnson
- Duración: 14 h y 2 m
- Versión completa
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General4 out of 5 stars 10
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Narración:3.5 out of 5 stars 5
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Historia4 out of 5 stars 5
We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
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2 out of 5 stars
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Better Reference Text than an audiobook
- De Amazon Customer en 05-25-25
De: Zhamak Dehghani
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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
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General4.5 out of 5 stars 41
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Narración:4.5 out of 5 stars 35
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Historia4.5 out of 5 stars 35
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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5 out of 5 stars
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Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros