Book Image

Building Google Cloud Platform Solutions

By : Ted Hunter, Steven Porter, Legorie Rajan PS
Book Image

Building Google Cloud Platform Solutions

By: Ted Hunter, Steven Porter, Legorie Rajan PS

Overview of this book

GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: • Google Cloud Platform for Developers Ted Hunter and Steven Porter • Google Cloud Platform Cookbook by Legorie Rajan PS
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Managing secrets with GKE


Secrets are private or otherwise sensitive pieces of data such as credentials, access keys, and tokens. Utilizing secrets gives you a much more secure option for storing your sensitive data compared to textual configuration definitions. You create secrets using the Kubernetes CLI, providing name, type, and data parameters.

Creating/Storing secrets

kubectl create secret generic creds --from-literal=username=bobsmith --from-literal=password=p@ssw0rd

Most secrets, like credentials, will be generically typed and contain textual data. In addition to being able to create secrets from literals, you also have the ability to create them from text files. When using files as the basis for your secrets, the key will default to your filename and the contents will be used for the value:

kubectl create secret generic credentials --from-file ./username.txt --from-file ./password.txt

If your filename is not suitable or is undesirable as a key, you can provide an alternate key value....