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Programming in cloud
Gabriel N. Schenker, Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu
Kubernetes is an open source orchestration platform for managing containers in a cluster environment. This Learning Path introduces you to the world of containerization, in addition to providing you with an overview of Docker fundamentals. As you progress, you will be able to understand how Kubernetes works with containers. Starting with creating Kubernetes clusters and running applications with proper authentication and authorization, you'll learn how to create high-availability Kubernetes clusters on Amazon Web Services (AWS), and also learn how to use kubeconfig to manage different clusters. Whether it is learning about Docker containers and Docker Compose, or building a continuous delivery pipeline for your application, this Learning Path will equip you with all the right tools and techniques to get started with containerization.By the end of this Learning Path, you will have gained hands-on experience of working with Docker containers and orchestrators, including SwarmKit and Kubernetes.This Learning Path includes content from the following Packt products:• Kubernetes Cookbook - Second Edition by Hideto Saito, Hui-Chuan Chloe Lee, and Ke-Jou Carol Hsu• Learn Docker - Fundamentals of Docker 18.x by Gabriel N. Schenker
Kubernetes has continued to grow and achieve broad adoption across various industries, helping you to orchestrate and automate container deployments on a massive scale.This book will give you a complete understanding of Kubernetes and how to get a cluster up and running. You will develop an understanding of the installation and configuration process. The book will then focus on the core Kubernetes constructs such as pods, services, replica sets, replication controllers, and labels. You will also understand how cluster level networking is done in Kubernetes. The book will also show you how to manage deployments and perform updates with minimal downtime. Additionally, you will learn about operational aspects of Kubernetes such as monitoring and logging. Advanced concepts such as container security and cluster federation will also be covered. Finally, you will learn about the wider Kubernetes ecosystem with OCP, CoreOS, and Tectonic and explore the third-party extensions and tools that can be used with Kubernetes.By the end of the book, you will have a complete understanding of the Kubernetes platform and will start deploying applications on it.
Getting Started with Terraform. Infrastructure automation made easy
Terraform is a tool used to efficiently build, configure, and improve production infrastructure. It can manage existing infrastructure as well as create custom in-house solutions. This book shows you when and how to implement infrastructure as a code practices with Terraform. It covers everything necessary to set up complete management of infrastructure with Terraform, starting with the basics of using providers and resources. This book is a comprehensive guide that begins with very small infrastructure templates and takes you all the way to managing complex systems, all using concrete examples that evolve over the course of the book. It finishes with the complete workflow of managing a production infrastructure as code – this is achieved with the help of version control and continuous integration. At the end of this book, you will be familiar with advanced techniques such as multi-provider support and multiple remote modules.
Say goodbye to tedious tasks! GitHub Actions is a powerful workflow engine that automates everything in the GitHub ecosystem, letting you focus on what matters most.This book explains the GitHub Actions workflow syntax, the different kinds of actions, and how GitHub-hosted and self-hosted workflow runners work. You’ll get tips on how to author and debug GitHub Actions and workflows with Visual Studio Code (VS Code), run them locally, and leverage the power of GitHub Copilot. The book uses hands-on examples to walk you through real-world use cases that will help you automate the entire release process. You’ll cover everything, from automating the generation of release notes to building and testing your software and deploying securely to Azure, Amazon Web Services (AWS), or Google Cloud using OpenID Connect (OIDC), secrets, variables, environments, and approval checks.The book goes beyond CI/CD by demonstrating recipes to execute IssueOps and automate other repetitive tasks using the GitHub CLI, GitHub APIs and SDKs, and GitHub Token. You’ll learn how to build your own actions and reusable workflows to share building blocks with the community or within your organization.By the end of this GitHub book, you'll have gained the skills you need to automate tasks and work with remarkable efficiency and agility.
Agnieszka Koziorowska, Wojciech Marusiak
Google Cloud Platform (GCP) is a leading cloud provider, helping companies and users worldwide to solve the most challenging business issues. This book will teach cloud engineers working with GCP how to implement, configure, and secure cloud environment, and help students gain confidence in utilizing various GCP services.The book begins by introducing you to Google Cloud and the ACE exam, including various resources that can help you pass. The next set of chapters will help you explore the various compute options in Google Cloud, such as Google Kubernetes Engine and Google Compute Engine. As you advance, you'll gain a clear understanding of the essence of the cloud, including networking and storage, as well as the data analytics products that Google Cloud provides. The chapters also cover key topics such as monitoring, logging, diagnostics, and price estimation along with the most crucial of subjects, security, with a particular focus on identity and access management. Finally, you'll be given the chance to test your newfound knowledge with the help of two mock exams.By the end of this book, you’ll have learned the difference between various Google Cloud Platform services, along with specific use cases, and be able to implement these services with the GCP console and command-line utilities.
Chmura obliczeniowa jest rozwiązaniem niezawodnym i zapewniającym wysoki poziom bezpieczeństwa systemu. Nowoczesne rozwiązania tego rodzaju charakteryzują się dużą elastycznością i skalowalnością, pozwalają na budowę i rozbudowę aplikacji, monitorowanie ich pracy oraz zarządzanie nimi, jak również bazami danych i innymi usługami w sposób globalny. Spośród chmur obliczeniowych jedne z najciekawszych i najbardziej innowacyjnych rozwiązań oferuje Google. Aby jednak optymalnie wykorzystać potencjał chmury Google, trzeba dysponować odpowiednią wiedzą i umiejętnościami. Certyfikat Google nadawany profesjonalistom gwarantuje odpowiedni poziom kompetencji. Ta książka pomoże Ci w uzyskaniu certyfikatu profesjonalisty Google (GCP) w specjalności architekta chmury Google. Znajdziesz tu wszystkie niezbędne materiały, dzięki którym przygotujesz się do egzaminu. Swoją wiedzę będziesz mógł skontrolować za pomocą stu przykładowych pytań sprawdzających. Jeśli nie planujesz zdobycia GCP, zyskasz głęboką wiedzę dotyczącą platformy Google Cloud. Nauczysz się projektować rozwiązania chmurowe, wdrażać je i zarządzać nimi w sposób zapewniający wysoką niezawodność i bezpieczeństwo systemu. Znajdziesz tu również informacje dotyczące maszyn wirtualnych, przechowywania, transferu i migracji danych, a także narzędzi niezbędnych do zarządzania internetem rzeczy (IoT), uczenia maszynowego i budowania aplikacji do specyficznych zastosowań biznesowych. W tej książce między innymi: wprowadzenie do platformy Google Cloud projektowanie i wdrażanie architektury rozwiązań chmurowych zarządzanie bezpieczeństwem i tożsamością w chmurze Google analiza i optymalizacja procesów technicznych i biznesowych przyszłość platformy Google Cloud Chmura Google: nowy paradygmat architektury najlepszych systemów IT!