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Architecting Google Cloud Solutions

You're reading from   Architecting Google Cloud Solutions Learn to design robust and future-proof solutions with Google Cloud technologies

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800563308
Length 472 pages
Edition 1st Edition
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Author (1):
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Victor Dantas Victor Dantas
Author Profile Icon Victor Dantas
Victor Dantas
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction to Google Cloud
2. Chapter 1: An Introduction to Google Cloud for Architects FREE CHAPTER 3. Chapter 2: Mastering the Basics of Google Cloud 4. Section 2: Designing Great Solutions in Google Cloud
5. Chapter 3: Designing the Network 6. Chapter 4: Architecting Compute Infrastructure 7. Chapter 5: Architecting Storage and Data Infrastructure 8. Chapter 6: Configuring Services for Observability 9. Chapter 7: Designing for Security and Compliance 10. Section 3: Designing for the Modern Enterprise
11. Chapter 8: Approaching Big Data and Data Pipelines 12. Chapter 9: Jumping on the DevOps Bandwagon with Site Reliability Engineering (SRE) 13. Chapter 10: Re-Architecting with Microservices 14. Chapter 11: Applying Machine Learning and Artificial Intelligence 15. Chapter 12: Achieving Operational Excellence 16. Other Books You May Enjoy

Building microservices with Kubernetes

Microservices and Kubernetes are a great combination. Containers are not a required technology for implementing microservices – no technology is – but they're certainly a great fit, especially when properly orchestrated by software such as Kubernetes. For example, the following are some of the features of Kubernetes that make it particularly well suited for microservices architectures:

  • Declarative service definition
  • Built-in service discovery
  • Naming and resource isolation via namespaces
  • Granular autoscaling capabilities for pods/containers

We can add abstraction of several infrastructure layers and self-healing capabilities as extra bonuses to this list. Because Kubernetes (and a managed Kubernetes service, particularly) enables teams to focus more on customer-facing functionalities and less on undifferentiated "heavy lifting," it allows for the agility required to scale microservices deployments...

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