A service mesh architecture is designed to manage complex interactions between microservices through a separate infrastructure layer. The service mesh automatically provides functions such as routing, load balancing, service discovery, security (e.g., mTLS), logging, tracing, and request retrying without the need to implement them in each service. All of this is achieved through special proxies (sidecars) that run alongside each microservice and intercept all network traffic.
A traditional microservices architecture requires that most of these functions be implemented within the services themselves or at the platform level, complicating the development and maintenance of the project when there are a large number of services.
Example of Istio service mesh configuration for Kubernetes:
apiVersion: networking.istio.io/v1alpha3 kind: VirtualService metadata: name: my-service spec: hosts: - my-service http: - route: - destination: host: my-service subset: v1
Key features:
Centralized routing and management of network interaction policies.
Minimization of code duplication for interaction logic in each service.
Improved security and monitoring without changing the business logic of applications.
Does a service mesh completely replace an API gateway?
No, a service mesh and an API gateway complement each other: the API gateway provides entry control, while the service mesh manages east-west communication between services.
Is it necessary to modify service code when implementing a service mesh?
Typically no. In most cases, a service proxy runs in sidecar mode, and there is no need to change the business logic code.
Does a service mesh degrade the performance of microservices?
A service mesh does introduce a small latency due to proxy traffic processing, but for most scenarios, this is negligible compared to the gains in manageability and reliability.