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Strategizing Continuous Delivery in the Cloud

You're reading from   Strategizing Continuous Delivery in the Cloud Implement continuous delivery using modern cloud-native technology

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781837637539
Length 208 pages
Edition 1st Edition
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Authors (2):
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Garima Bajpai Garima Bajpai
Author Profile Icon Garima Bajpai
Garima Bajpai
Thomas Schuetz Thomas Schuetz
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Thomas Schuetz
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Foundation and Preparation for Continuous Delivery in the Cloud
2. Chapter 1: Planning for Continuous Delivery in the Cloud FREE CHAPTER 3. Chapter 2: Understanding Cloud Delivery Models 4. Chapter 3: Creating a Successful Strategy and Preparing for Continuous Delivery 5. Chapter 4: Setting Up and Scaling Continuous Delivery in the Cloud 6. Part 2: Implementing Continuous Delivery
7. Chapter 5: Finding Your Technical Strategy Toward Continuous Delivery in the Cloud 8. Chapter 6: Achieving Successful Implementation with Supporting Technology 9. Chapter 7: Aiming for Velocity and Reducing Delivery Risks 10. Chapter 8: Security in Continuous Delivery and Testing Your Deployment 11. Part 3: Best Practices and the Way Ahead
12. Chapter 9: Best Practices and References 13. Chapter 10: Future Trends of Continuous Delivery 14. Chapter 11: Contributing to the Open Source Ecosystem 15. Chapter 12: Practical Assignments 16. Index 17. Other Books You May Enjoy

Securing your CI/CD environment

Let’s assume that we want to deliver some application our company is maintaining and that as a modern company, we are using CI/CD in a cloud environment, as shown in the following figure:

Figure 8.1 – Example of a CI/CD environment

Figure 8.1 – Example of a CI/CD environment

The preceding figure shows a simplified environment that is hosted in the cloud and was created using IaC. We assume that application development and deployment processes are mainly source-code-driven and that we are using a source code management (SCM) system, such as Git. We have a CI system that listens to changes; when something changes, it builds and tests software and pushes this to an artifact store. We have a GitOps controller in place, which listens for changes, and when new artifacts arrive or the repository gets updated, it deploys the application. This is a very simplified process for the sake of finding some attack vectors. In a real-world scenario, this might not fit...

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