Companies looking to move enterprise applications to the cloud are busy weighing several options, such as the use of containers, machine learning, and serverless computing. There's a better way. Instead of helping you fit your use case to individual technologies, this practical guide explains how to use these technologies to fit your use case.
Author Rui Costa, a learning consultant with Google, demonstrates this approach by showing you how to run your application on Google Cloud. Each chapter is dedicated to an area of technology that you need to address when planning and deploying your application. This book starts by presenting a detailed fictional use case, followed by chapters that focus on the building blocks necessary to deploy a secure enterprise application successfully.
Build serverless applications with Google Cloud Functions
Explore use cases for deploying a real-time messaging service
Deploy applications to Google Kubernetes Engine (GKE)
Build multiregional GKE clusters
Integrate continuous integration and continuous delivery with your application
Incorporate Google Cloud APIs, including speech-to-text and data loss prevention
Enrich data with Google Cloud Dataflow
Secure your application with Google Cloud Identity-Aware Proxy
Explore BigQuery and visualization with Looker and BigQuery SDKs
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 233 mm
Breite: 178 mm
ISBN-13
978-1-4920-8903-2 (9781492089032)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Rui Costa has worked at Google in various roles, most recently as a Learning Consultant working with strategic customers and partners to create and execute on their Google Cloud learning plans. He ha served as an AI Coach for the Google AI Impact Challenge and is also the founder of the Speech Analysis Framework, which has successfully graduated to become a Product within Google.
