Kubernetes radically changes the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. The updated edition of this practical book shows developers and ops personnel how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.Kelsey Hightower, Brendan Burns, and Joe Bedawhove worked on Kubernetes at Google and beyondexplain how this system fits into the lifecycle of a distributed application.
Minimum quantity for "Kubernetes: Up and Running, Second Edition: Dive into the Future of Infrastructure" is 1.
Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data.
Minimum quantity for "Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications" is 1.
Now that consumer purchases with mobile phones are on the rise, how do you design a payment app thats safe, easy to use, and compelling? With this practical book, interaction and product designer Skip Allums provides UX best practices and recommendations to help you create familiar, friendly, and trustworthy experiences.Consumers want mobile transactions to be as fast and reliable as cash or bank cards. This book shows designers, developers, and product managersfrom startups to financial institutionshow to design mobile payments that not only safeguard identity and financial data, but also provide value-added features that exceed customer expectations.
All Indian Reprints of O'Reilly are printed in Grayscale
Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. You'll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel's behavior; inject code to monitor, trace, and securely observe events in the kernel; and more.Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable. Familiarize yourself with the essential concepts you'll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security.
Minimum quantity for "Linux Observability with BPF: Advanced Programming for Performance Analysis and Networking" is 1.
If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional math-heavy presentation.
Minimum quantity for "Machine Learning for Email: Spam Filtering and Priority Inbox" is 1.
Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. 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. Youll explore software architecture in a modern light, taking into account all the innovations of the past decade.
This book examines:
Minimum quantity for "Fundamentals of Software Architecture: An Engineering Approach" is 1.
Serverless computing greatly simplifies software development. Your team can focus solely on your application while the cloud provider manages the servers you need. This practical guide shows you step-by-step how to build and deploy complex applications in a flexible multicloud, multilanguage environment using Apache OpenWhisk. You’ll learn how this platform enables you to pursue a vendor-independent approach using preconfigured containers, microservices, and Kubernetes as your cloud operating system.
Minimum quantity for "Learning Apache OpenWhisk: Developing Open Serverless Solutions" is 1.
With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. Youll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach.
Minimum quantity for "Deep Learning From Scratch: Building with Python from First Principles" is 1.
Develop smart applications without spending days and weeks building machine-learning models. With this practical book, youll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, youll understand how to apply Automated Machine Learning to your data right away.
Minimum quantity for "Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions" is 1.
Minimum quantity for "Cloud Native Transformation: Practical Patterns for Innovation" is 1.
Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. Youll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.
Minimum quantity for "Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming" is 1.
A hands-on introduction to Packer, the HashiCorp image builder. Packer helps engineers, developers, sysadmins, and operations staff build multi-platform images including support for Docker containers, virtual machines, and Cloud-based images for platforms like Amazon Web Services and Google Cloud. Packer allows you to build consistent images on Linux, Microsoft Windows, macOS and other operating systems. In the book, we'll teach you how to install, use and integrate Packer into your environment and work flow.
Minimum quantity for "The Packer Book" is 1.