You're reading from Multi-Cloud Architecture and Governance Leverage Azure, AWS, GCP, and VMware vSphere to build effective multi-cloud solutions

Product type Paperback

Published in Dec 2020

Publisher Packt

ISBN-13 9781800203198

Length 412 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Authors (2):

Jeroen Mulder

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Table of Contents (28) Chapters

Preface

1. Section 1 – Introduction to Architecture and Governance for Multi-Cloud Environments

2. Chapter 1: Introduction to Multi-Cloud FREE CHAPTER

3. Chapter 2: Business Acceleration Using a Multi-Cloud Strategy

4. Chapter 3: Getting Connected – Designing Connectivity

5. Chapter 4: Service Designs for Multi-Cloud

6. Chapter 5: Managing the Enterprise Cloud Architecture

7. Section 2 – Getting the Basics Right with BaseOps

8. Chapter 6: Designing, Implementing, and Managing the Landing Zone

9. Chapter 7: Designing Resilience and Performance

10. Chapter 8: Defining Automation Tools and Processes

11. Chapter 9: Defining and Using Monitoring and Management Tools

12. Section 3 – Cost Control in Multi-Cloud with FinOps

13. Chapter 10: Managing Licenses

14. Chapter 11: Defining Principles for Resource Provisioning and Consumption

15. Chapter 12: Defining Naming Conventions and Tagging

16. Chapter 13: Validating and Managing Bills

17. Section 4 – Security Control in Multi-Cloud with SecOps

18. Chapter 14: Defining Security Policies

19. Chapter 15: Implementing Identity and Access Management

20. Chapter 16: Defining Security Policies for Data

21. Chapter 17: Implementing and Integrating Security Monitoring

22. Section 5 – Structured Development on Multi-Cloud Environments with DevOps

23. Chapter 18: Designing and Implementing CI/CD Pipelines

24. Chapter 19: Introducing AIOps in Multi-Cloud

25. Chapter 20: Introducing Site Reliability Engineering in Multi-Cloud

26. Assessments

27. Other Books You May Enjoy

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Chapter 19: Introducing AIOps in Multi-Cloud

AIOps stands for Artificial Intelligence for Operations, but what does it really mean? AIOps is still a rather new concept but can help to optimize your multi-cloud platform. It analyzes the health and behavior of workloads end-to-end – that is, right from the application's code all the way down to the underlying infrastructure. AIOps tooling will help in discovering issues, thereby providing advice for optimization. The best part is that good AIOps tools do this cross-platform since they operate from the perspective of the application and even the business chain.

This chapter is an introduction to the concept of AIOps. The components of AIOps will be discussed, including data analytics, automation, and Machine Learning (ML). After completing this chapter, you will have a good understanding of how AIOps can help in optimizing cloud environments and how enterprises can get started with implementing AIOps. The chapter...