Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 6 Current »

Service Mesh

  • The term service mesh is used to describe the network of microservices that make up such applications and the interactions between them.
  • As a service mesh grows in size and complexity, it can become harder to understand and manage.
  • Its requirements can include discovery, load balancing, failure recovery, metrics, and monitoring.
  • A service mesh also often has more complex operational requirements, like A/B testing, canary rollouts, rate limiting, access control, and end-to-end authentication.
  • Usually Service mesh will have one side car container, which intercepts the traffic

What is Istio

  • At a high level, Istio helps reduce the complexity of deployments, and eases the strain on your development teams.
  • It is a completely open source service mesh that layers transparently onto existing distributed applications.
  • It is also a platform, including APIs that let it integrate into any logging platform, or telemetry or policy system.
  • Istio’s enables to successfully, and efficiently, run a distributed microservice architecture, and provides a uniform way to secure, connect, and monitor microservices

Why to use Istio

  • service mesh
  • access control
  • telemetry
  • traffic management
  • canary Deployment
  • mtls

Objectives

  • Advanced control over traffic
  • Custom traffic rules for ip,
  • Data Store for telemetry- and configs
  • Checking the apis

Benefits/Advantages

  • Traffic management
    • Canary, Blue/Green deployment
    • A/B Testing
    • Routing traffic to multiple versions of a service
  • Security
    • Traffic Encryption across the services
    • Access control policies
      • Rate limiting to dynamically limit the traffic to a service
      • Denials, whitelists, and blacklists, to restrict access to services
      • Header rewrites and redirect
    • Audit
  • Telemetry

Overhead involved

  • Addition hops to access a service
  • CPU and Memory consumption of workers for side cars
  • No labels