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Container Security

Container Security

by Liz Rice

To facilitate scalability and resilience, many organizations now run applications in cloud native environments using containers and orchestration. But how do you know if the deployment is secure? This practical book examines key underlying technologies to help developers, operators, and security professionals assess security risks and determine appropriate solutions. Author Liz Rice, VP of open source engin...

Price:  $35.35  |  Publisher:  O'Reilly Media  |  Release:  2020

Architecting for Scale, 2nd Edition

Architecting for Scale, 2nd Edition

by Lee Atchison

Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. With the popularity of software as a service, scaling has never been more important.Updated with an expanded focus on modern architecture paradigms such as microservices and cloud computing, this pract...

Price:  $29.99  |  Publisher:  O'Reilly Media  |  Release:  2020

Getting Started with Bazel

Getting Started with Bazel

by Benjamin Muschko

One of the newer players in the build tool field is Bazel, the open source variant of Google's powerful internal build tool Blaze. After years of refinement, the first production-ready version, Bazel 1.0, was released in October 2019. Is this tool right for your organization? This report explores the use cases, features, and usability concerns of Bazel, including its benefits and shortcomings.Author Benjami...

Publisher:  O'Reilly Media  |  Release:  2020

Building Secure and Reliable Systems

FREE EBOOK - Building Secure and Reliable Systems

by Betsy Beyer, Piotr Lewandowski, Ana Oprea, Paul Blankinship, Heather Adkins, Adam Stubblefield

Can a system be considered truly reliable if it isn't fundamentally secure? Or can it be considered secure if it's unreliable? Security is crucial to the design and operation of scalable systems in production, as it plays an important part in product quality, performance, and availability. In this book, experts from Google share best practices to help your organization design scalable and reliable systems t...

Price:  $49.92  |  Publisher:  O'Reilly Media  |  Release:  2020

Deep Learning with JavaScript

Deep Learning with JavaScript

by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen, Francois Chollet

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating us...

Price:  $49.99  |  Publisher:  Manning  |  Release:  2020

Mastering Large Datasets with Python

Mastering Large Datasets with Python

by John T. Wolohan

Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You'll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as dist...

Price:  $39.99  |  Publisher:  Manning  |  Release:  2020

Mastering Azure Machine Learning

Mastering Azure Machine Learning

by Christoph Korner, Kaijisse Waaijer

The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud.The book starts with an overview of an end-to-end ML project and a guide on how to choo...

Price:  $44.75  |  Publisher:  Packt Publishing  |  Release:  2020

Deep Reinforcement Learning Hands-On, 2nd Edition

Deep Reinforcement Learning Hands-On, 2nd Edition

by Maxim Lapan

Deep Reinforcement Learning Hands-On, Second Edition is an updated and expanded version of the bestselling guide to the very latest reinforcement learning (RL) tools and techniques. It provides you with an introduction to the fundamentals of RL, along with the hands-on ability to code intelligent learning agents to perform a range of practical tasks.With six new chapters devoted to a variety of up-to-the-mi...

Price:  $37.50  |  Publisher:  Packt Publishing  |  Release:  2020

MongoDB: The Definitive Guide, 3rd Edition

MongoDB: The Definitive Guide, 3rd Edition

by Shannon Bradshaw, Kristina Chodorow

Manage your data with a system designed to support modern application development. Updated for MongoDB 4.2, the third edition of this authoritative and accessible guide shows you the advantages of using document-oriented databases. You'll learn how this secure, high-performance system enables flexible data models, high availability, and horizontal scalability.Authors Shannon Bradshaw, Eoin Brazil, and Krist...

Price:  $29.11  |  Publisher:  O'Reilly Media  |  Release:  2019

Professor Frisby's Mostly Adequate Guide to Functional Programming

FREE EBOOK - Professor Frisby's Mostly Adequate Guide to Functional Programming

by Brian Lonsdorf

This is a book on the functional paradigm in general. We'll use the world's most popular functional programming language: JavaScript. Some may feel this is a poor choice as it's against the grain of the current culture which, at the moment, feels predominately imperative.That said, typed functional languages will, without a doubt, be the best place to code in the style presented by this book. JavaScript wil...

Publisher:  Self-publishing  |  Release:  2019

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