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

Data plane

The data plane consists of one or more nodes running microservices containers in pods. Each pod has a sidecar that takes care of inter-service communication.

The sidecar proxy is agnostic to the language of the microservice since it works at the network layer. The proxy in a data plane intercepts inbound and outbound traffic for a microservice. With it, we can perform the following tasks:

  • Traffic management
  • Service-to-service user access control
  • Authentication
  • Communication encryption (TLS or mTLS)
  • Monitoring
  • Logging
  • Timeouts
  • Rate limits
  • Retries
  • Circuit breaking
  • Load balancing
  • Health checks

Kubernetes uses pods as single units where multiple containers within a pod share the same IP address or service name. All of the sidecar proxies conceptually form a data plane. Together, the control plane and data plane form the service mesh.

A service mesh proxy can be configured...