THE CLOUDBUILDERS and Other Marvels was collected by John Pelan and it contains all five of the Unorthodox Engineers series, first published in New Writings in SF. In his introduction, John traces the history of each story and places them in historical context. The stories are: The Cloudbuilders, New Writings in SF #12, 1968 Ambassador to Verdammt, Analog, April 1968 The Railways on Cannis, New Worlds, 87 1959 The Subways of Tazoo, New Writings in SF #3 1964 The Pen and the Dark, New Writings in SF #8 1966 Getaway from Getawehi, New Writings in SF #16 1969 The Black Hole of Negrav, New Writings in SF #25 1975 Something in the City, Analog, November, 1984
Learn from Terraform expert Mark Tinderholt and excel in designing and automating your infrastructure and CI/CD pipelines with Terraform across major cloud platforms and paradigms Key Features Build comprehensive end-to-end solutions with Terraform using VMs, Kubernetes, and Serverless Integrate Terraform with other HashiCorp products and common tools such as Packer, Docker, Kubernetes, and Helm Streamline your operations using Gitflow powered by GitHub Actions CI/CD pipelines Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAdvancements made in cloud technology and automation tools have led to increased challenges in defining and managing your infrastructure or app environment as code on your chosen cloud platform, integrating security, managing microservices complexity, and so on. This book takes a learning-by-doing approach to teach you how to employ Terraform features to develop efficient cloud infrastructure using real-world scenarios and best practices. The book begins by introducing you to Terraform's architecture, both as a command-line tool and a programming language, HashiCorp Configuration Language (HCL). You’ll discover best practices, usage, and architectural patterns and implement Terraform on virtual machines (VMs), Docker/Kubernetes, serverless, and multiple cloud platforms such as AWS, Azure, and GCP. The chapters also show you how to industrialize your CI/CD pipeline by integrating Terraform with other popular technologies to build, provision, deploy, and manage cloud infrastructure. You’ll gain a clear understanding of security, monitoring, troubleshooting, and cost optimization and be able to apply the concepts you’ve learned when preparing for Terraform Associate certification exams. By the end of this book, you’ll be equipped to confidently build, automate, and deliver your infrastructure and CI/CD pipelines in cloud-based applications.What you will learn Explore Terraform architecture and configurations in depth Integrate Packer with Terraform for VM-based solutions Containerize apps with Docker and Kubernetes Explore GitOps and CI/CD deployment patterns Transform existing applications into serverless architectures Migrate and modernize legacy apps for the cloud Implement Terraform on AWS, Azure, and GCP Use Terraform with teams of varying size and responsibility Who this book is for This book is for Devops engineers, cloud engineers, platform engineers, infrastructure engineers, site reliability engineers, developers, and cloud architects who want to utilize Terraform to automate their cloud infrastructures and streamline software delivery. Prior knowledge of cloud architecture, infrastructure, and platforms, as well as Terraform basics, will help you understand the topics present in this book.
Moon has spent his life hiding what he is — a shape-shifter able to transform himself into a winged creature of flight. An orphan with only vague memories of his own kind, Moon tries to fit in among the tribes of his river valley, with mixed success. Just as Moon is once again cast out by his adopted tribe, he discovers a shape-shifter like himself... someone who seems to know exactly what he is, who promises that Moon will be welcomed into his community. What this stranger doesn't tell Moon is that his presence will tip the balance of power... that his extraordinary lineage is crucial to the colony's survival... and that his people face extinction at the hands of the dreaded Fell! Now Moon must overcome a lifetime of conditioning in order to save and himself... and his newfound kin.
Blessed be God in His angels and in His saints! Includes hundreds of true stories of miraculous phenomena in the lives of the Saints: bilocation, levitation, multiplication of food, etc. Fascinating, hard to put down, and helpful to strengthen one’s faith. This world CANNOT be all there is -- and this book helps to make that truth more REAL to each one of us! An excellent gift book, suitable for all ages.
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers
A desperate exodus from Earth. Indentured to the starship captain, young Michael ‘Kip’ Anders was his family’s only hope of fleeing Earth and its constant attacks from the Korg. But even four years out, the colony ship Cloud Fist is unable to escape the Korg’s firm grip on the galaxy. As factions form and unrest invades the ship, Kip finds his loyalties severely tested. Will the new colony fail before it even finds a planet to settle?
