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Beginning Kubernetes On The Google Cloud Platform

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Beginning Kubernetes On The Google Cloud Platform

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Author : Ernesto Garbarino
language : en
Publisher: Apress
Release Date : 2019-11-28

Beginning Kubernetes On The Google Cloud Platform written by Ernesto Garbarino and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Computers categories.

Use this beginner’s guide to understand and work with Kubernetes on the Google Cloud Platform and go from single monolithic Pods (the smallest unit deployed and managed by Kubernetes) all the way up to distributed, fault-tolerant stateful backing stores. You need only a familiarity with Linux, Bash, and Python to successfully use this book. Proficiency in Docker or cloud technology is not required. You will follow a learn-by-doing approach, running small experiments and observing the effects. Google open sourced Kubernetes in 2015 and now it is the industry standard in container orchestration. It has been adopted by all leading vendors of cloud, on-prem, and hybrid infrastructure services: Microsoft (Azure AKS), Amazon (AWS EKS), IBM (IBM Cloud Kubernetes Services), Alibaba Cloud (ACK), RedHat (OpenShift), and Pivotal (PKS). Even though Kubernetes is offered by all of the market-leading cloud providers, the Google Cloud Platform (GCP) offers an integrated shell (Google Cloud Shell) and a $300 credit to get started, which makes it the ideal platform to not only learn Kubernetes but also to implement final production workloads. What You Will Learn Set up a Kubernetes cluster in GCPDeploy simple Docker images using monolithic PodsArrange highly available and highly scalable applications using DeploymentsAchieve zero-downtime deployments using the Service controllerExternalize configuration using ConfigMaps and SecretsSet up batch processes and recurrent tasks using Jobs and CronJobsInstall horizontal (sidecar pattern) services using DaemonSetsImplement distributed, stateful backing stores using StatefulSets Who This Book Is For Beginners with basic Linux admin and scripting skills (Bash and Python). Proficiency with Docker is not required as all examples in the book use off-the-shelf public images from Docker Hub.

Beginning Kubernetes On The Google Cloud Platform

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Author : Ernesto Garbarino
language : en
Publisher: Apress
Release Date : 2019-11-28

Kubernetes Essentials A Beginner S Guide To Deployment Management And Observability

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Author : Aditya Pratap Bhuyan
language : en
Publisher: Aditya Pratap Bhuyan
Release Date : 2025-03-07

Kubernetes Essentials A Beginner S Guide To Deployment Management And Observability written by Aditya Pratap Bhuyan and has been published by Aditya Pratap Bhuyan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.

Kubernetes has become the industry standard for container orchestration, enabling developers and DevOps teams to deploy, scale, and manage applications efficiently. However, navigating its complexities can be challenging for beginners. "Kubernetes Essentials: A Beginner’s Guide to Deployment, Management, and Observability" is your step-by-step introduction to Kubernetes, designed to help you gain a solid foundation in this powerful platform. This book takes a hands-on approach, guiding you through Kubernetes architecture, essential commands, and practical use cases. You’ll learn how to install Kubernetes using different playgrounds like Minikube, Kind, and K3s, and understand the key components that make up a cluster. With real-world examples, you’ll create and manage Kubernetes objects, including Pods, Deployments, Services, ConfigMaps, Secrets, and StatefulSets. Networking is a crucial part of Kubernetes, and this book covers how to set up networking, expose applications, and manage Ingress controllers. You’ll also explore Kubernetes storage solutions like Persistent Volumes and Storage Classes. Beyond deployment, you’ll dive into scaling strategies, auto-healing mechanisms, and security best practices, including Role-Based Access Control (RBAC) and network policies. Observability is key to maintaining healthy Kubernetes workloads. You’ll learn how to monitor clusters using Prometheus and Grafana, collect and analyze logs with Fluentd and Loki, and troubleshoot applications effectively. Finally, you’ll explore advanced topics like Helm, GitOps with ArgoCD, and Kubernetes deployment strategies. Whether you're a developer, system administrator, or DevOps engineer, this book provides the essential knowledge and hands-on skills to confidently work with Kubernetes. By the end, you’ll be equipped to deploy, manage, and monitor Kubernetes workloads in real-world environments. 🚀 Start your Kubernetes journey today and build a strong foundation in modern container orchestration!

Google Cloud Platform For Data Engineering

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Author : Alasdair Gilchrist
language : en
Publisher: Alasdair Gilchrist
Release Date :

Google Cloud Platform For Data Engineering written by Alasdair Gilchrist and has been published by Alasdair Gilchrist this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Google Cloud Platform for Data Engineering is designed to take the beginner through a journey to become a competent and certified GCP data engineer. The book, therefore, is split into three parts; the first part covers fundamental concepts of data engineering and data analysis from a platform and technology-neutral perspective. Reading part 1 will bring a beginner up to speed with the generic concepts, terms and technologies we use in data engineering. The second part, which is a high-level but comprehensive introduction to all the concepts, components, tools and services available to us within the Google Cloud Platform. Completing this section will provide the beginner to GCP and data engineering with a solid foundation on the architecture and capabilities of the GCP. Part 3, however, is where we delve into the moderate to advanced techniques that data engineers need to know and be able to carry out. By this time the raw beginner you started the journey at the beginning of part 1 will be a knowledgable albeit inexperienced data engineer. However, by the conclusion of part 3, they will have gained the advanced knowledge of data engineering techniques and practices on the GCP to pass not only the certification exam but also most interviews and practical tests with confidence. In short part 3, will provide the prospective data engineer with detailed knowledge on setting up and configuring DataProc - GCPs version of the Spark/Hadoop ecosystem for big data. They will also learn how to build and test streaming and batch data pipelines using pub/sub/ dataFlow and BigQuery. Furthermore, they will learn how to integrate all the ML and AI Platform components and APIs. They will be accomplished in connecting data analysis and visualisation tools such as Datalab, DataStudio and AI notebooks amongst others. They will also by now know how to build and train a TensorFlow DNN using APIs and Keras and optimise it to run large public data sets. Also, they will know how to provision and use Kubeflow and Kube Pipelines within Google Kubernetes engines to run container workloads as well as how to take advantage of serverless technologies such as Cloud Run and Cloud Functions to build transparent and seamless data processing platforms. The best part of the book though is its compartmental design which means that anyone from a beginner to an intermediate can join the book at whatever point they feel comfortable.

Getting Started With Kubernetes

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Author : Jonathan Baier
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-30

Getting Started With Kubernetes written by Jonathan Baier and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Computers categories.

Schedule and run application containers using Kubernetes Key FeaturesGet to grips with a wide range of tools to monitor and secure your deploymentsManage your container clusters and networks using KubernetesGet well-versed with the fundamentals of KubernetesBook Description Kubernetes has continued to grow and achieve broad adoption across various industries, helping you to orchestrate and automate container deployments on a massive scale. Based on the recent release of Kubernetes 1.12, Getting Started with Kubernetes gives you a complete understanding of how to install a Kubernetes cluster. The book focuses on core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You will understand cluster-level networking in Kubernetes, and learn to set up external access to applications running in the cluster. As you make your way through the book, you'll understand how to manage deployments and perform updates with minimal downtime. In addition to this, you will explore operational aspects of Kubernetes , such as monitoring and logging, later moving on to advanced concepts such as container security and cluster federation. You'll get to grips with integrating your build pipeline and deployments within a Kubernetes cluster, and be able to understand and interact with open source projects. In the concluding chapters, you'll orchestrate updates behind the scenes, avoid downtime on your cluster, and deal with underlying cloud provider instability within your cluster. By the end of this book, you'll have a complete understanding of the Kubernetes platform and will start deploying applications on it. What you will learnDownload, install, and configure the Kubernetes code baseSet up and access monitoring and logging for Kubernetes clustersSet up external access to applications running in the clusterLearn how to manage and scale kubernetes with hosted platforms on AWS, Azure, and GCPRun multiple clusters and manage them from a single control planeDiscover top tools for deploying and managing a Kubernetes clusterLearn how to get production ready and harden Kubernetes operations, networking, and storageWho this book is for Getting Started with Kubernetes is for developers, system administrators, and DevOps engineers who want to automate the deployment process and scale their applications. No prior knowledge of Kubernetes is required.

Beginning Serverless Computing

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Author : Maddie Stigler
language : en
Publisher: Apress
Release Date : 2017-11-24

Beginning Serverless Computing written by Maddie Stigler and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-24 with Computers categories.

Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual Studio Code, Postman, and Serverless Framework. You will apply the fundamentals of serverless technology from the ground up, and come away with a greater understanding of its power and how to make it work for you. This book teaches you how to quickly and securely develop applications without the hassle of configuring and maintaining infrastructure. You will learn how to harness serverless technology to rapidly reduce production time and minimize your costs, while still having the freedom to customize your code, without hindering functionality. Upon completion, you will have the knowledge and resources to build your own serverless application hosted in AWS, Azure, or Google Cloud and will have experienced the benefits of event-driven technology for yourself. What You'll Learn Gain a deeper understanding of serverless computing and when to use it Use development tools such as Node.js, Postman, and VS code to quickly set up your serverless development environment and produce applications Apply triggers to your serverless functions that best suit the architecture for the problem the functions are solving Begin building applications across cloud providers that utilize the power of serverless technology Understand best development practices with serverless computing to maintain scalable and practical solutions Code with an agnostic approach to cloud providers to minimize provider dependency Who This Book Is For Any developer looking to expand current knowledge of serverless computing, its applications, and how to architect serverless solutions, or someone just beginning in these areas

Ai Operators Unveiled The Beginner S Guide To Automating Intelligence Packed With Tools Stories And Step By Step Solutions

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Author : Dizzy Davidson
language : en
Publisher: Pure Water Books
Release Date : 2025-08-08

Ai Operators Unveiled The Beginner S Guide To Automating Intelligence Packed With Tools Stories And Step By Step Solutions written by Dizzy Davidson and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-08 with Computers categories.

If you’ve ever wondered how artificial intelligence actually works behind the scenes… If you’re curious how businesses automate decisions, detect fraud, or personalize your online experience… If you want to break into the world of AI but feel overwhelmed by technical jargon and complex systems… This book is for you. AI Operators Unveiled is your god-sent guide to understanding the brains behind intelligent automation. Written in clear, everyday language, this book unlocks the secrets of AI operators—those invisible agents that power smart systems across industries. Whether you're a student, entrepreneur, tech enthusiast, or someone with zero coding experience, this book will help you grasp the fundamentals and start building your own intelligent solutions. Packed with: ✅ Real-life stories from healthcare, retail, finance, and more ✅ Step-by-step guides to designing and deploying AI operators ✅ Tips, tricks, and cheat sheets to simplify complex concepts ✅ Illustrated diagrams and beginner-friendly explanations ✅ Practical examples you can try—even if you’ve never written code ✅ Glossaries, FAQs, and reference guides to keep you on track ✅ Ethical insights and future predictions to inspire your journey This isn’t just a book—it’s a launchpad. You’ll learn how AI operators are transforming industries, how to build one yourself, and how to think like a future-ready innovator. No fluff, no filler—just the essential knowledge you need to start solving real-world problems with intelligent automation. Get your copy today! Start your journey into the world of AI operators and become the architect of smarter, faster, and more impactful solutions.

Google Cloud Developer Certification

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26

Google Cloud Developer Certification written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Computers categories.

Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Python And Terraform Infrastructure As Code Standards And Practices

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Author :
language : en
Publisher: jideon francisco marques
Release Date : 2024-02-23

Python And Terraform Infrastructure As Code Standards And Practices written by and has been published by jideon francisco marques this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-23 with Computers categories.

How this book is organized: A roadmap I organized this book into three sections with 13 chapters. Part 1 introduces IaC and how you, as an individual, write it. • Chapter 1 defines IaC and its benefits and principles. The chapter explains that the book has examples in Python, run by HashiCorp Terraform, and deployed to Google Cloud Platform (GCP). I also discuss the tools and use cases you’ll encounter in your IaC journey. • Chapter 2 dives into the principle of immutability and how you can migrate existing infrastructure resources to IaC. It also covers the practices of writing clean IaC. • Chapter 3 offers a few patterns for dividing and grouping infrastructure resources into modules. Each pattern includes an example and a list of use cases. • Chapter 4 covers how to manage dependencies among infrastructure resources and modules and decouple them with dependency injection and some common patterns. Part 2 describes how to write and collaborate on IaC as a team. • Chapter 5 organizes the practices and considerations for expressing IaC in different repository structures and sharing it across your team. • Chapter 6 provides an infrastructure testing strategy. It describes each type of test and how to write them for IaC. • Chapter 7 applies continuous delivery to IaC. It covers a high-level view of branching models and how your team can use them to change infrastructure. • Chapter 8 provides techniques to build secure and compliant IaC, including testing and tagging. Part 3 covers how to manage IaC across your company. • Chapter 9 applies immutability to infrastructure changes, including an example for blue-green deployments. • Chapter 10 refactors a large body of IaC to improve its maintainability and mitigate the blast radius of failed changes to one codebase. • Chapter 11 describes reverting IaC and rolling forward changes to the system. • Chapter 12 addresses the use of IaC to manage cloud computing costs. It includes an example for cost estimation of IaC. • Chapter 13 completes the book with practices to manage and update IaC tools. You will find that many concepts build on each other throughout the book, and it may help to read the chapters in order if you have not previously practiced IaC. Otherwise, you can choose the sections that best apply to the challenges you face in your IaC practice.

Kubeflow Operations Guide

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Author : Josh Patterson
language : en
Publisher: O'Reilly Media
Release Date : 2020-12-04

Kubeflow Operations Guide written by Josh Patterson and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-04 with Computers categories.

Building models is a small part of the story when it comes to deploying machine learning applications. The entire process involves developing, orchestrating, deploying, and running scalable and portable machine learning workloads--a process Kubeflow makes much easier. This practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes workflows portable and scalable. Authors Josh Patterson, Michael Katzenellenbogen, and Austin Harris demonstrate how this open source platform orchestrates workflows by managing machine learning pipelines. You'll learn how to plan and execute a Kubeflow platform that can support workflows from on-premises to cloud providers including Google, Amazon, and Microsoft. Dive into Kubeflow architecture and learn best practices for using the platform Understand the process of planning your Kubeflow deployment Install Kubeflow on an existing on-premises Kubernetes cluster Deploy Kubeflow on Google Cloud Platform step-by-step from the command line Use the managed Amazon Elastic Kubernetes Service (EKS) to deploy Kubeflow on AWS Deploy and manage Kubeflow across a network of Azure cloud data centers around the world Use KFServing to develop and deploy machine learning models

Beginning Kubernetes On The Google Cloud Platform

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