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This is the code repository for Mastering Service Mesh, published by Packt.

Enhance, secure, and observe cloud-native applications with Istio, Linkerd, and Consul

Although microservices-based applications support DevOps and continuous delivery, they can also add to the complexity of testing and observability. The implementation of a service mesh architecture, however, allows you to secure, manage, and scale your microservices more efficiently. With the help of practical examples, this book demonstrates how to install, configure, and deploy an efficient service mesh for microservices in a Kubernetes environment.

This book covers the following exciting features:

• Manage your cloud-native applications easily using service mesh architecture
• Learn about Istio, Linkerd, and Consul – the three primary open source service mesh providers
• Explore tips, techniques, and best practices for building secure, high-performance microservices

If you feel this book is for you, get your copy today!

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

if (test expression)
{
  Statement upon condition is true
}

Following is what you need for this book: This book is for solution architects and network administrators, as well as DevOps and site reliability engineers who are new to the cloud-native framework. You will also find this book useful if you’re looking to build a career in DevOps, particularly in operations. Working knowledge of Kubernetes and building microservices that are cloud-native is necessary to get the most out of this book.

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. [Click here to download it](Graphics Bundle Link).

• Hands-On Serverless Computing with Google Cloud [Packt] [Amazon]

• Mastering Azure Serverless Computing [Packt] [Amazon]

Anjali Khatri Anjali Khatri is an enterprise cloud architect at DivvyCloud, leading the cloud-native growth of the company. She helps customers to secure their cloud resources and services running on AWS, Google, Azure, and other cloud providers. She is leading the product and post-sales deployment strategy for enterprise customers by enhancing the future capabilities of DivvyCloud, building customer case studies, architecting feature requests, and so on with support from customer success, engineering, and sales to provide continuous delivery. Prior to Divvycloud, Anjali worked at IBM and Merlin. She has 9+ years of professional experience, including program management for software development, open source analytics sales, and IT networking consulting.

Vikram Khatri Vikram Khatri is the chief architect of Cloud Pak for Data System at IBM. Vikram has 20 years of experience leading and mentoring high-performing, cross-functional teams to deliver high-impact, best-in-class technology solutions. Vikram is a visionary thought leader when it comes to architecting large-scale transformational solutions from monolithic to cloud-native applications that include data and AI. He is an industry-leading technical expert with a track record of leveraging deep technical expertise to develop solutions, resulting in revenues exceeding $1 billion over 14 years, and is also a technology subject matter expert in cloud-native technologies who frequently speaks at industry conferences and trade shows.

This book is written by a daughter-father team.

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