Mastering docker pdf download
Playboy Croatia November Leave a Reply Cancel reply Your email address will not be published. Video Tutorials. You will learn how to use Docker Swarm and NGINX to load-balance your application and how common debugging tools in Linux can be used to troubleshoot Docker containers. By the end of this book, you will be able to integrate all the optimizations that you have learned and put everything into practice in your applications.
What you will learn Automate provisioning and setting up nodes in a Docker Swarm cluster Configure a monitoring system with Prometheus and Grafana Use Apache JMeter to create workloads for benchmarking the performance of Docker containers Understand how to load-balance an application with Docker Swarm and Nginx Deploy strace, tcdump, blktrace, and other Linux debugging tools to troubleshoot containers Integrate Docker optimizations for DevOps, Site Reliability Engineering, CI, and CD Who this book is for If you are a software developer with a good understanding of managing Docker services and the Linux file system and are looking for ways to optimize working with Docker containers, then this is the book for you.
Developers fascinated with containers and workflow automation with benefit from this book. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition.
Mastering Go, Second Edition shows how to put Go to work on real production systems. The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more.
Each chapter ends with exercises and resources to fully embed your new knowledge. This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection.
If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques. What you will learn Clear guidance on using Go for production systems Detailed explanations of how Go internals work, the design choices behind the language, and how to optimize your Go code A full guide to all Go data types, composite types, and data structures Master packages, reflection, and interfaces for effective Go programming Build high-performance systems networking code, including server and client-side applications Interface with other systems using WebAssembly, JSON, and gRPC Write reliable, high-performance concurrent code Build machine learning systems in Go, from simple statistical regression to complex neural networks Who this book is for Mastering Go, Second Edition is for Go programmers who already know the language basics, and want to become expert Go practitioners.
Leverage Docker to deploying software at scale Key Features Leverage practical examples to manage containers efficiently Integrate with orchestration tools such as Kubernetes for controlled deployments Learn to implement best practices on improving efficiency and security of containers Book Description Docker is an open source platform for building, shipping, managing, and securing containers. Docker has become the tool of choice for people willing to work with containers. Since the market is moving toward containerization, Docker will definitely have a big role to play in the future tech market.
This book starts with setting up Docker in different environment, and helps you learn how to work with Docker images. Then, you will take a deep dive into network and data management for containers. The book then explores logs and troubleshooting Docker to solve issues and bottlenecks.
You will gain an understanding of Docker use cases, orchestration, security, ecosystems, and hosting platforms to make your applications easy to deploy, build, and collaborate on. The book covers the new features of Docker By the end of this book, you will have gained hands-on experience of finding quick solutions to different problems encountered while working with Docker.
Docker for Developers will help you understand Docker containers from scratch while taking you through best practices and showing you how to address security concerns.
Starting with an introduction to Docker, you'll learn how to use containers and VirtualBox for development. You'll explore how containers work and develop projects within them after you've explored different ways to deploy and run containers. The book will also show you how to use Docker containers in production in both single-host set-ups and in clusters and deploy them using Jenkins, Kubernetes, and Spinnaker.
As you advance, you'll get to grips with monitoring, securing, and scaling Docker using tools such as Prometheus and Grafana. Later, you'll be able to deploy Docker containers to a variety of environments, including the cloud-native Amazon Elastic Kubernetes Service Amazon EKS , before finally delving into Docker security concepts and best practices.
By the end of the Docker book, you'll be able to not only work in a container-driven environment confidently but also use Docker for both new and existing projects. What you will learn Get up to speed with creating containers and understand how they work Package and deploy your containers to a variety of platforms Work with containers in the cloud and on the Kubernetes platform Deploy and then monitor the health and logs of running containers Explore best practices for working with containers from a security perspective Become familiar with scanning containers and using third-party security tools and libraries Who this book is for If you're a software engineer new to containerization or a DevOps engineer responsible for deploying Docker containers in the cloud and building DevOps pipelines for container-based projects, you'll find this book useful.
This Docker containers book is also a handy reference guide for anyone working with a Docker-based DevOps ecosystem or interested in understanding the security implications and best practices for working in container-driven environments. Hardening a Linux system can make it much more difficult for an attacker to exploit it.
This book will enable system administrators and network engineers to protect their Linux systems, and the sensitive data on those systems. Kubernetes radically changes the way applications are built and deployed in the cloud.
Since its introduction in , 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.
Create a simple cluster to learn how Kubernetes works Dive into the details of deploying an application using Kubernetes Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets Explore deployments that tie together the lifecycle of a complete application Get practical examples of how to develop and deploy real-world applications in Kubernetes.
Docker is rapidly changing the way organizations deploy software at scale. However, understanding how Linux containers fit into your workflow—and getting the integration details right—is not a trivial task.
This edition includes significant updates to the examples and explanations that reflect the substantial changes that have occurred over the past couple of years. Learn how Docker simplifies dependency management and deployment workflow for your applications Start working with Docker images, containers, and command line tools Use practical techniques to deploy and test Docker containers in production Debug containers by understanding their composition and internal processes Deploy production containers at scale inside your data center or cloud environment Explore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration.
Skip to content. Mastering Docker Second Edition. Mastering Docker Fourth Edition. Author : RUSS. Mastering Docker Third Edition. Learn Docker Fundamentals of Docker 19 x. Mastering Docker shows you how you can ensure that you're keeping up with the innovations it's driving and be sure you're using it to its full potential.
This fourth edition not only demonstrates how to use Docker more effectively but also helps you rethink and reimagine what you can achieve with it. If you feel this book is for you, get your copy today! Following is what you need for this book: If you are a software architect, DevOps engineer, sysadmin, or IT professional looking to leverage Docker's extensive features for innovating any process from system administration to web development, Mastering Docker will show you how you can use it to its full potential.
A basic understanding of containerization and prior Docker experience is necessary. With the following software and hardware list you can run all code files present in the book Chapter Click here to download it. Learn Docker — Fundamentals of Docker Mastering Docker Enterprise [Packt] [Amazon]. From a tour of the technology through architecture, deployment, and integration of System Center, Microsoft Azure, and Microsoft Azure Stack, the discussion illustrates the skills you need to create a complete solution for optimum enterprise management.
Coverage includes Windows Azure capabilities for virtual machines, managing a hybrid cloud, IaaS, storage capabilities, PowerShell, and more, with practical real-world guidance from a leading authority in the field.
This book shows you how to exploit these new capabilities to build a robust data solution for your organization. Discover the capabilities of Microsoft Hyper-V Architect a Hyper-V datacenter solution Plan and manage a deployment or migration Integrate complementary technologies for full scalability Data is everywhere—on desktops, laptops, phones, and multiple operating systems, accessed through email, text messages, web searches, online services, and more.
All of this data must be stored, accessible, updated, backed up, secured, managed, sorted, and analyzed—sometimes instantly. Hyper-V is the rising star in the virtualization space, and Microsoft Windows Server Hyper-V shows you how to turn greater capabilities into better datacenter solutions. Docker is the software application that allows you to grab hold of other pieces of software and dock their most integral components such as run commands, system tools, and libraries and conveniently store them in containers.
These Docker containers are tremendously quicker and more versatile than other methods of distributing and developing software. This book gives you everything you need to know about this exciting new platform through a hands-on method that as well as teaching you how to use Docker, it takes the time to teach you why you should! Every single aspect of Docker is demonstrated in real world applications. Whether you are a web site developer or just looking to streamline your space, this book is for you!
In this book we will learn how to: Use Docker to build and deploy web apps Develop constant deployment methods to increase production How to multitask your containers Understand how containers connect Use Cluster Containers effectively.
Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use PyTorch 1. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick overview of PyTorch and explores using convolutional neural network CNN architectures for image classification. You'll then work with recurrent neural network RNN architectures and transformers for sentiment analysis.
As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks GANs.
You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.
By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models. Working knowledge of deep learning with Python programming is required. Docker is the most common resource just like git or java that the user uses for incorporating into the everyday development and practices.
The user can use Docker as the variation for manipulating approaches in their operating systems for different applications. Docker is really helpful for the developers and internet apps builders. This eBook has the complete guide to the Docker implementation. The book is divided into five sections. The first chapter is about the brief Introduction about the Docker, the basic functionality of Docker is also mentioned in this section. The second chapter has the detailed functionalities of Docker.
The third section is about the docker usability in developing the web apps. The benefits of docker for security purposes are given in the fourth section of this eBook. The debugging techniques of the container and the way to make functions of the Docker are stated in the last chapter.
Learn to develop, test, and deploy your Spring Boot distributed application and explore various best practices. Spring Boot simplifies the building of complex software dramatically by reducing the amount of boilerplate code, and by providing production-ready features and a simple deployment model.
This book will address the challenges related to power that come with Spring Boot's great configurability and flexibility. You will understand how Spring Boot configuration works under the hood, how to overwrite default configurations, and how to use advanced techniques to prepare Spring Boot applications to work in production.
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