Efficiently Managing Your Data Flow with Service Mesh and Kafka

Modern applications, designed to function across various platforms, devices, and complex infrastructures, pose challenges for developers. Containerization technology, like Kubernetes, simplifies managing diverse applications in different locations by enabling consistent operations across varying environments. The rapid growth of real-time streaming, AI, and machine-learning applications has led to increased adoption of microservices architecture, enhancing efficiency and scalability. However, managing numerous microservices and APIs creates challenges for DevOps professionals.

This paper explores how a service mesh like Calisti can simplify application connectivity, security, and observability. Deployed in a Kubernetes cluster, Calisti leverages Istio and Apache Kafka to support distributed applications. It offers a GUI, a CLI, and API connectivity, with Envoy proxy serving as a gateway for all traffic. Calisti provides consistent deployment, development, security, and scalability of microservices. It helps administrators detect anomalies and understand their potential impact on other services.

Calisti also optimizes, secures, and supports both asynchronous and synchronous messaging. It enables encrypted communications for Kafka by default and extends observability to event-driven architectures. As the only solution supporting both synchronous and asynchronous microservices communications, Calisti provides a unified way to manage distributed environments, making it a comprehensive solution for modern application management.