Service mesh emerged as a response to the growing popularity of cloud-native environments, microservices architecture, and Kubernetes. It has its roots in the three-tiered model of application architecture. While Kubernetes helped resolve deployment challenges, the communication between microservices remained a source of unreliability. Under a heavy load, the application could break if the traffic routing, load balancing, etc., were not optimized. This led to the growth of service mesh. With the existing service mesh hard to scale due to too many moving parts, configure and manage, Kong built a service mesh tool called Kuma.

In this blog post, we will discuss the open-source service mesh Kuma, its architecture, and its easy-to-implement policies like traffic control, metrics, circuit breaking, etc. We will also discuss how Kuma provides better observability of services.

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