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API-Centric Service Mesh: Microservices with Observability, Security and Reliability
A Service Mesh is an infrastructure layer built into an application that allows communication between services and microservices in the application. Some open source project provide service mesh capabilities, like Istio, Linkerd and Kuma.
RedHat explains the need for a service mesh, saying that “every new service added to an app, or new instance of an existing service running in a container, complicates the communication environment and introduces new points of possible failure. Within a complex microservices architecture, it can become nearly impossible to locate where problems have occurred without a service mesh.”
A service mesh easily enables capabilities like observability, security and reliability within an application. A service mesh provides a standard framework — so applications don’t need to re-implement those features.
Suraj Kumar, General Manager at Software AG, said that “increasingly, organizations are realizing that microservices can’t be completely separated from API strategy.”
Using a service mesh as part of the application is become more popular. In mid-2021, 85 percent of organizations that are using microservices and APIs have begun to use service meshes, according to a report by Software AG.
Bar Yochay, CTO of Reblaze, told Jenna Sargent at SDTimes, that “new and better approaches are constantly being invented to secure cloud native architectures. For example, service meshes can build traffic filtering right into the mesh itself, and block hostile requests before the microservice receives them. Service meshes are an addition to microservices architectures that enable services to communicate with each other. In addition to added security, they offer benefits like load balancing, discovery, failure recovery, metrics, and more.”
Zach Butcher, founding engineer at Tetrate, said that “API gateways are an inherent part of service mesh. It’s the last domino to fall for service mesh to really break through.”
