Informatyka

Mastering KnockoutJS. Use and extend Knockout to deliver feature-rich, modern web applications

Timothy Moran

Mastering Kubernetes. Master the art of container management by using the power of Kubernetes - Second Edition

Gigi Sayfan

Kubernetes is an open source system that is used to automate the deployment, scaling, and management of containerized applications. If you are running more containers or want automated management of your containers, you need Kubernetes at your disposal. To put things into perspective, Mastering Kubernetes walks you through the advanced management of Kubernetes clusters.To start with, you will learn the fundamentals of both Kubernetes architecture and Kubernetes design in detail. You will discover how to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. Using real-world use cases, you will explore the options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you will get to grips with custom resource development and utilization in automation and maintenance workflows.To scale up your knowledge of Kubernetes, you will encounter some additional concepts based on the Kubernetes 1.10 release, such as Promethus, Role-based access control, API aggregation, and more. By the end of this book, you’ll know everything you need to graduate from intermediate to advanced level of understanding Kubernetes.

Mastering Linux Administration. Take your sysadmin skills to the next level by configuring and maintaining Linux systems - Second Edition

Alexandru Calcatinge, Julian Balog

Harness the power of Linux in modern data center management, leveraging its unparalleled versatility for efficiently managing your workloads in on-premises and cloud environments. In this second edition, you'll find updates on the latest advancements in Linux administration including containerization, shell scripting, and hypervisors. Written by an experienced Linux trainer, this book will start you off with Linux installation on on-premises systems. As you progress, you’ll master the Linux command line, files, packages, and filesystems. You'll explore essential Linux commands and techniques to secure your Linux environment. New to this edition is a chapter on shell scripting, providing structured guidance on using shell programming for basic Linux automation. This book also delves into the world of containers, with two new chapters dedicated to Docker containers and hypervisors, including KVM virtual machines. Once adept with Linux containers, you'll learn about modern cloud technologies, managing and provisioning container workloads using Kubernetes, and automating system tasks using Ansible. Finally, you'll get to grips with deploying Linux to the cloud using AWS and Azure-specific tools. By the end of this Linux book, you'll have mastered everyday administrative tasks, seamlessly navigating workflows spanning from on-premises to the cloud.

Mastering Linux Kernel Development. A kernel developer's reference manual

CH Raghav Maruthi

Mastering Linux Kernel Development looks at the Linux kernel, its internal arrangement and design, and various core subsystems, helping you to gain significant understanding of this open source marvel. You will look at how the Linux kernel, which possesses a kind of collective intelligence thanks to its scores of contributors, remains so elegant owing to its great design.This book also looks at all the key kernel code, core data structures, functions, and macros, giving you a comprehensive foundation of the implementation details of the kernel’s core services and mechanisms. You will also look at the Linux kernel as well-designed software, which gives us insights into software design in general that are easily scalable yet fundamentally strong and safe.By the end of this book, you will have considerable understanding of and appreciation for the Linux kernel.

Mastering Linux Security and Hardening. Secure your Linux server and protect it from intruders, malware attacks, and other external threats

Donald A. Tevault

This book has extensive coverage of techniques that will help prevent attackers from breaching your system, by building a much more secure Linux environment. You will learn various security techniques such as SSH hardening, network service detection, setting up firewalls, encrypting file systems, protecting user accounts, authentication processes, and so on. Moving forward, you will also develop hands-on skills with advanced Linux permissions, access control, special modes, and more. Lastly, this book will also cover best practices and troubleshooting techniques to get your work done efficiently.By the end of this book, you will be confident in delivering a system that will be much harder to compromise.

Mastering Lumion 3D. Master the art of creating real-time 3D architectural visualizations using Lumion 3D

Ciro Cardoso

Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models

Giuseppe Bonaccorso

Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour.Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn v0.19.1. You will also learn how to use Keras and TensorFlow 1.x to train effective neural networks.If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need.

Mastering Machine Learning on AWS. Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow

Dr. Saket S.R. Mengle, Maximo Gurmendez

Amazon Web Services (AWS) is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis. By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.