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Mastering Service Mesh

Mastering Service Mesh

By : Anjali Khatri, Vikram Khatri
4.4 (5)
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Mastering Service Mesh

Mastering Service Mesh

4.4 (5)
By: Anjali Khatri, Vikram Khatri

Overview of this book

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. You'll get started with a hands-on introduction to the concepts of cloud-native application management and service mesh architecture, before learning how to build your own Kubernetes environment. While exploring later chapters, you'll get to grips with the three major service mesh providers: Istio, Linkerd, and Consul. You'll be able to identify their specific functionalities, from traffic management, security, and certificate authority through to sidecar injections and observability. By the end of this book, you will have developed the skills you need to effectively manage modern microservices-based applications.
Table of Contents (31 chapters)
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1
Section 1: Cloud-Native Application Management
4
Section 2: Architecture
8
Section 3: Building a Kubernetes Environment
10
Section 4: Learning about Istio through Examples
18
Section 5: Learning about Linkerd through Examples
24
Section 6: Learning about Consul through Examples

Linkerd proxy

In Linkerd, the sidecar proxy is written in the Rust programming language, which was designed by Graydon Hoare from Mozilla Research. Rust is similar in syntax to C and C++, and it offers better performance and strong typing. There are no Garbage Collection (GC) related constraints, as Rust performs resource utilization in the constructor, and, when an object goes out of scope, the owned resources are freed.

The choice of Rust by Linkerd developers was to attain performance, reliability, and productivity (https://rust-lang.org). The Linkerd proxy is lightweight and efficient, since it has a small footprint.

Some of the features of the Linkerd proxy are as follows:

  • Out of process architecture: The Linkerd proxy runs alongside the application and is language-agnostic.
  • Rust: The Linkerd proxy is written in Rust for performance and to minimize latency.
  • Protocol:...
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Mastering Service Mesh
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