Book Image

Google Cloud Platform for Developers

By : Ted Hunter, Steven Porter
Book Image

Google Cloud Platform for Developers

By: Ted Hunter, Steven Porter

Overview of this book

Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications. With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems. By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications.
Table of Contents (17 chapters)

Error reporting

Errors are often the most significant and apparent indicator of issues in cloud services. When most well-behaved services encounter an error, they produce pertinent information about the event, such as stack trace and a human-readable message to the appropriate channels (for exampl, stderr). Being able to track these errors across all of your services is critical to quickly identifying and remedying issues. Google Cloud addresses this need with Stackdriver Error Reporting.

Stackdriver Error Reporting provides an aggregated view of errors, along with error analysis including error counts and frequency. In larger projects with many moving pieces, overly frequent errors can become noise, drowning out new, critical information. Stackdriver intelligently prioritizes new errors to compensate for this, improving the signal-to-noise ratio.

Additionally, Stackdriver Error...