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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 and alerting


Logging and tracing provide a wealth of information about how components of your cloud systems are behaving, but they generally only provide a partial picture of system behavior as a whole. Many important aspects of system health exist outside the scope of logging and tracing. Very often these aspects are best measured in terms of change over time, allowing developers to identify trends and anomalies.

Building on our to-do example, a sudden spike in concurrent connections to our todos-db Cloud SQL instance may indicate that a recently pushed version of todos-backend is not correctly terminating stale connections. Likewise, identifying patterns in user traffic to our todos-frontend may allow us to identify optimal maintenance windows or eagerly scale ahead of demand.

Additionally, while collecting the right data is important to effectively monitor cloud systems and triage issues, it does not provide developers with the early awareness of issues required to minimize downtime...

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