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Building Google Cloud Platform Solutions

You're reading from   Building Google Cloud Platform Solutions Develop scalable applications from scratch and make them globally available in almost any language

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Product type Course
Published in Mar 2019
Publisher Packt
ISBN-13 9781838647438
Length 778 pages
Edition 1st Edition
Languages
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Authors (3):
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Steven Porter Steven Porter
Author Profile Icon Steven Porter
Steven Porter
Legorie Rajan PS Legorie Rajan PS
Author Profile Icon Legorie Rajan PS
Legorie Rajan PS
Ted Hunter Ted Hunter
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Ted Hunter
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Toc

Table of Contents (29) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Why GCP? FREE CHAPTER 2. The Google Cloud Console 3. APIs, CLIs, IAM, and Billing 4. Google App Engine 5. Google Kubernetes Engine 6. Google Cloud Functions 7. Google Compute Engine 8. NoSQL with Datastore and Bigtable 9. Relational Data with Cloud SQL and Cloud Spanner 10. Google Cloud Storage 11. Stackdriver 12. Change Management 13. GCP Networking for Developers 14. Messaging with Pub/Sub and IoT Core 15. Integrating with Big Data Solutions on GCP 16. Compute 17. Storage and Databases 18. Networking 19. Security 20. Machine Learning and Big Data 21. Management Tools 22. Best Practices 1. Other Books You May Enjoy Index

Monitoring a GCP account using Security Monkey


Monitoring the data center is an important job in the day-to-day operations of DC maintenance. Different parameters are monitored—usage of resources, idle time, software updates, performance logs, security logs, and so on. This helps administrators take preventive and corrective actions against events. Security Monkey is an open source monitoring tool developed initially by the team at Netflix to monitor their AWS infrastructure. Currently a lot of development is underway to support more and more GCP services.

In this recipe, we'll use Security Monkey on our GCP infrastructure and look at how it can be used for monitoring at an organization level.

Getting ready

The following are the initial setup verification steps before the recipe can be executed:

  1. Create or select a GCP project
  2. Enable billing and enable the default APIs (some APIs like BigQuery, storage, monitoring, and a few others are enabled automatically)
  3. Enable the Google Identity and Access...
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