Get quick hands-on experience with Google Cloud. This cookbook provides a variety of self-contained recipes that show you how to use Google Cloud services for your enterprise application. Whether you're looking for practical ways to apply microservices, AI, analytics, security, or networking solutions, these recipes take you step-by-step through the process and provide discussions that explain how and why the recipes work. Ideal for system engineers and administrators, developers, network and database administrators, and data analysts, this cookbook helps you get started with Google Cloud regardless of your level of experience. Google veterans Rui Costa and Drew Hodun also cover advanced-level Google Cloud services for those who have appreciable experience with the platform. Learn how to get started with Google Cloud Understand the depth of services Google Cloud provides Gain hands-on experience using practical examples and labs Explore topics that include BigQuery, Cloud Run, and Kubernetes Build and run mobile and web applications on Google Cloud Examine ways to build your cloud applications for scale Build a minimum viable product (MVP) app to use in production Learn data platform and pipeline skills

Twenty-four of the country's minority groups call Yunnan home, each retaining their own traditions. Stretching from the Himalayan plateau down to the subtropics, Yunnan encompasses extremes from alpine meadows to rainforest. It is the most diverse region in China culturally, biologically, and meteorologically. On a culinary level, this means Yunnan is one of the most delicious places on earth. The region is famous for its mushrooms, hams, pickles, edible flowers, its use of potatoes, and its love of chillies and Sichuan peppercorns. Yunnan's food is exciting and unfamiliar, but much of it is actually quite easy to make, using simple techniques already familiar to Western cooks. Each chapter covers a different area featuring its cardinal recipes such as Tibetan momo dumplings, Dai cucumber salad with peanuts, the famed "crossingthe- bridge" noodles of Kunming, Eastern-style fried rice with ham, potatoes, and peas, and roasted eggplant salad from near the Burmese border. Complete with profiles of local cooks, artisans, and farmers, as well as breathtaking on-location photography, Cooking South of the Clouds takes readers on an unforgettable journey through the land of Shangri-La and introduces a new world of flavours.

With the rise of the cloud, every aspect of IT has been shaken to its core. The fundamentals for building systems are changing, and although many of the principles that underpin security still ring true, their implementation has become unrecognizable. This practical book provides recipes for AWS, Azure, and GCP to help you enhance the security of your own cloud native systems. Based on his hard-earned experience working with some of the world's biggest enterprises and rapidly iterating startups, consultant Josh Armitage covers the trade-offs that security professionals, developers, and infrastructure gurus need to make when working with different cloud providers. Each recipe discusses these inherent compromises, as well as where clouds have similarities and where they're fundamentally different. Learn how the cloud provides security superior to what was achievable in an on-premises world Understand the principles and mental models that enable you to make optimal trade-offs as part of your solution Learn how to implement existing solutions that are robust and secure, and devise design solutions to new and interesting problems Deal with security challenges and solutions both horizontally and vertically within your business

On the New York Times bestseller list for over 20 weeks * A New York Times Notable Book * A National Book Award Finalist * Named a Best Book of the Year by Fresh Air, Time, Entertainment Weekly, Associated Press, and many more “If you’re looking for a superb novel, look no further.” —The Washington Post From the Pulitzer Prize–winning author of All the Light We Cannot See, comes the instant New York Times bestseller that is a “wildly inventive, a humane and uplifting book for adults that’s infused with the magic of childhood reading experiences” (The New York Times Book Review). Among the most celebrated and beloved novels of recent times, Cloud Cuckoo Land is a triumph of imagination and compassion, a soaring story about children on the cusp of adulthood in worlds in peril, who find resilience, hope, and a book. In the 15th century, an orphan named Anna lives inside the formidable walls of Constantinople. She learns to read, and in this ancient city, famous for its libraries, she finds what might be the last copy of a centuries-old book, the story of Aethon, who longs to be turned into a bird so that he can fly to a utopian paradise in the sky. Outside the walls is Omeir, a village boy, conscripted with his beloved oxen into the army that will lay siege to the city. His path and Anna’s will cross. In the present day, in a library in Idaho, octogenarian Zeno rehearses children in a play adaptation of Aethon’s story, preserved against all odds through centuries. Tucked among the library shelves is a bomb, planted by a troubled, idealistic teenager, Seymour. This is another siege. And in a not-so-distant future, on the interstellar ship Argos, Konstance is alone in a vault, copying on scraps of sacking the story of Aethon, told to her by her father. Anna, Omeir, Seymour, Zeno, and Konstance are dreamers and outsiders whose lives are gloriously intertwined. Doerr’s dazzling imagination transports us to worlds so dramatic and immersive that we forget, for a time, our own.

If your organization is preparing to move toward a cloud-native computing architecture, this cookbook shows you how to successfully use Kubernetes, the de-facto standard for automating the deployment, scaling, and management of containerized applications. With more than 80 proven recipes, developers, system administrators, and architects will quickly learn how to get started with Kubernetes and understand its powerful API. Through the course of the book, authors Sébastien Goasguen and Michael Hausenblas provide several detailed solutions for installing, interacting with, and using Kubernetes in development and production. You'll learn how to adapt the system to your particular needs and become familiar with the wider Kubernetes ecosystem. Each standalone chapter features recipes written in O'Reilly's popular problem-solution-discussion format. Recipes in this cookbook focus on: Creating a Kubernetes cluster Using the Kubernetes command-line interface Managing fundamental workload types Working with services Exploring the Kubernetes API Managing stateful and non-cloud native apps Working with volumes and configuration data Cluster-level and application-level scaling Securing your applications Monitoring and logging Maintenance and troubleshooting.

Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations Key Features Build and scale modern data solutions using the all-in-one Snowflake platform Perform advanced cloud analytics for implementing big data and data science solutions Make quicker and better-informed business decisions by uncovering key insights from your data Book Description Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses. You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data. As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization. By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes. What you will learn Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform Optimize performance and costs associated with a Snowflake solution Stage data on object stores and load it into Snowflake Secure data and share it efficiently for access Manage transactions and extend Snowflake using stored procedures Extend cloud data applications using Spark Connector Who this book is for This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.

Practical recipes to implement cost-effective and scalable cloud solutions for your organization Key Features Implement Google Cloud services in your organization Leverage Google Cloud components to secure your organization’s data A recipe-based guide that promises hands-on experience in deploying a highly scalable and available environment Book Description Google Cloud Platform is a cloud computing platform that offers products and services to host applications using state-of-the art infrastructure and technology. You can build and host applications and websites, store data, and analyze data on Google's scalable infrastructure. This book follows a recipe-based approach, giving you hands-on experience to make the most of Google Cloud services. This book starts with practical recipes that explain how to utilize Google Cloud's common services. Then, you'll see how to make full use of Google Cloud components such as networking, security, management, and developer tools. Next, we'll deep dive into implementing core Google Cloud services into your organization, with practical recipes on App Engine, Compute Engine microservices with Cloud Functions, virtual networks, and Cloud Storage. Later, we'll provide recipes on implementing authentication and security, Cloud APIs, command-line management, deployment management, and the Cloud SDK. Finally, we'll cover administration troubleshooting tasks with the Compute and Container Engines and we'll show how to monitor your organization's efficiency with best practices. By the end of this book, you'll have a complete understanding of how to implement Google Cloud services in your organization with ease. What you will learn Host a Python application on Google Compute Engine Host an application using Google Cloud Functions Migrate a MySQL DB to Cloud Spanner Configure a network for a highly available application on GCP Learn simple image processing using Storage and Cloud Functions Automate security checks using Policy Scanner Understand tools for monitoring a production environment in GCP Learn to manage multiple projects using service accounts Who this book is for This book is for IT professionals, engineers, and developers looking at implementing Google Cloud in their organizations. Administrators and architects planning to make their organization more efficient with Google Cloud will also find this book useful. Basic understanding of Cloud services and the Google Cloud platform is necessary.