This study examines a decentralized approach to implementing a service mesh for microservice-based systems designed for scalable data processing. Unlike traditional solutions dominated by the pipes-and-filters pattern and a centralized control plane, this approach utilizes the concept of Eblocks—unified modules that incorporate service discovery, authentication, monitoring, and load management components. This allows for the formation of various patterns (manager-worker, divide-and-conquer, hybrid models) directly at the microservice level without strict dependence on centralized logic. It is demonstrated that such an architecture accelerates data processing through automatic scaling and parallel execution, simplifies configuration, and provides flexible security and observability mechanisms. The proposed results, supported by findings from other researchers, indicate a significant increase in system throughput when handling documents requiring pipeline, parallel, and distributed processing. The presented information is of interest to researchers and professionals in distributed systems, cloud computing, and microservice architecture, aiming for a deeper understanding and implementation of innovative service mesh architectures to enhance the scalability, reliability, and efficiency of modern IT applications.

cloud computing, microservices, service mesh, processing patterns, scalability

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