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Implementing DevSecOps Practices

Implementing DevSecOps Practices

By : Vandana Verma Sehgal
4.6 (9)
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Implementing DevSecOps Practices

Implementing DevSecOps Practices

4.6 (9)
By: Vandana Verma Sehgal

Overview of this book

DevSecOps is built on the idea that everyone is responsible for security, with the goal of safely distributing security decisions at speed and scale to those who hold the highest level of context. This practice of integrating security into every stage of the development process helps improve both the security and overall quality of the software. This book will help you get to grips with DevSecOps and show you how to implement it, starting with a brief introduction to DevOps, DevSecOps, and their underlying principles. After understanding the principles, you'll dig deeper into different topics concerning application security and secure coding before learning about the secure development lifecycle and how to perform threat modeling properly. You’ll also explore a range of tools available for these tasks, as well as best practices for developing secure code and embedding security and policy into your application. Finally, you'll look at automation and infrastructure security with a focus on continuous security testing, infrastructure as code (IaC), protecting DevOps tools, and learning about the software supply chain. By the end of this book, you’ll know how to apply application security, safe coding, and DevSecOps practices in your development pipeline to create robust security protocols.
Table of Contents (25 chapters)
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1
Part 1:DevSecOps – What and How?
3
Part 2: DevSecOps Principles and Processes
8
Part 3:Technology
15
Part 4: Tools
17
Part 5: Governance and an Effective Security Champions Program
20
Part 6: Case Studies and Conclusion

Making organizations observable

The first step toward making an organization observable is ensuring their thought process involves observability. Cloud systems are complex, with enormous amounts of data that needs to be ingested from systems, applications, and the network. This data is needed for accurate analytics so that actions or actionable insights can be followed up. It would be hard to get greater insights from observable systems if we don’t gather them in the right formats. It is of utmost importance to have meaningful output. Various steps can be followed to set up observability or make data observable:

  • Establish observability objectives: Recognize what is being observed, why, and what advantages the firm hopes to gain from observability.
  • Properly configure outputs: Set up dashboards, alerting, and reporting to produce results that are useful and actionable. Consider configuring temporal parameters that could forgo an alert if the parameter returns to normal...
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