Book Image

Mastering Service Mesh

By : Anjali Khatri, Vikram Khatri
Book Image

Mastering Service Mesh

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)
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

Collecting new metrics

Istio provides a simple mechanism for collecting metrics for the microservices that we developed without adding any instrumentation to them. In the following example, we will use Mixer's attribute vocabulary to define an instance of Mixer metrics that can be applied to the bookinfo microservices to generate metrics. Then, we'll collect them without having to make any code changes to the application. Let's get started:

  1. Define the configuration for the metric instance to double the request count:
# Script : 02-create-metric-instance.yaml

apiVersion: config.istio.io/v1alpha2
kind: instance
metadata:
name: doublerequestcount
spec:
compiledTemplate: metric
params:
value: "2" # count each request twice
dimensions:
reporter: conditional((context.reporter.kind | "inbound") == "outbound", "client&quot...