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Google Cloud Platform for Architects

You're reading from   Google Cloud Platform for Architects Design and manage powerful cloud solutions

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788834308
Length 372 pages
Edition 1st Edition
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Authors (3):
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Loonycorn Ravi Loonycorn Ravi
Author Profile Icon Loonycorn Ravi
Loonycorn Ravi
Judy Raj Judy Raj
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Judy Raj
Vitthal Srinivasan Vitthal Srinivasan
Author Profile Icon Vitthal Srinivasan
Vitthal Srinivasan
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Toc

Table of Contents (19) Chapters Close

Preface 1. The Case for Cloud Computing FREE CHAPTER 2. Introduction to Google Cloud Platform 3. Compute Choices – VMs and the Google Compute Engine 4. GKE, App Engine, and Cloud Functions 5. Google Cloud Storage – Fishing in a Bucket 6. Relational Databases 7. NoSQL Databases 8. BigQuery 9. Identity and Access Management 10. Managing Hadoop with Dataproc 11. Load Balancing 12. Networking in GCP 13. Logging and Monitoring 14. Infrastructure Automation 15. Security on the GCP 16. Pricing Considerations 17. Effective Use of the GCP 18. Other Books You May Enjoy

Logging

In computing, logging refers to a record of events that have occurred over a certain time period. In GCP, logs are associated with projects; that is, each project will have separate logs. Logs can be used for debugging, tracking billing, analyzing performance, or just as proof of an event or task. Stackdriver allows users to view, filter, and export logs:

As shown in the diagram, the Stackdriver logging component is made up of three elements:

  • Logging APIs, which are used to fetch record logs.
  • Storage, that is, cloud storage buckets. The log export APIs have access to cloud storage buckets where logs can directly be streamed.
  • A user interface to interact fluently with logs.

Logs are stored as objects of the type LogEntry. Log entries can be created by GCP or AWS services, and they use the entries.write method to write the logs. Mostly, the logs are automatically named...

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