Benefits Of Service Mesh In Kubernetes
- Microservices architecture has been a key step in the move towards cloud native architecture. While it provides flexibility, microservices architecture is also inherently complex. Container services can manage and deploy microservices architectures, but as they grow and sprawl, insight becomes more limited.
- An example of a service mesh is creating simplifications of some of the complexities as the services of multiple stack layers can be accessed in a single infrastructure layer regardless of any integrations or code alterations carried out by the application developers.
- This improves the speed and reliability of communications between services. From the perspective of the management component, a service mesh in Kubernetes implementation also provides observability through logging, tracing and monitoring; coarse granularity based traffic management; security in terms of encryption, authentication and authorization; and failure recovery.
- In practice, using a Kubernetes service mesh makes it easier to implement security and encryption between services and reduces the burden on dev-Ops teams. A service mesh also makes tracing a service latency issue simpler. And although different service meshes provide different features, common capabilities include:
- API (Kubernetes Custom Resource Definitions (CRD), programmable interface)
- Communication resiliency (circuit-breaking, retries, rate limiting, timeouts)
- Load balancing (consistent hashing, least request, zone/latency aware)
- Observability (alerting, Layer 7 metrics, tracing)
- Routing control (traffic mirroring, traffic shifting)
- Security (authorization policies, end-to-end mutual TLS encryption, service level and method level access control)
- Service discovery (distributed cache)
What is Kubernetes Service Mesh?
Service mesh allows in Kubernetes that the services can be discovered and talk to other services. In addition, it implements smart routing, which targets the creation of the connections these endpoints or services make to API calls and how traffic is shared among them. As a result, it enables canaries or rolling upgrades, blue/green, and other sophisticated deployment tactics.
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