Service meshes have become a pivotal solution for managing the complexity inherent in microservices-based applications, especially within mature Kubernetes environments. They provide a dedicated infrastructure layer that facilitates service-to-service communication, offering benefits such as centralized traffic management, enhanced security, resilience, and improved observability. Istio, a prominent example of a service mesh, uses Envoy proxies to manage and secure interactions between microservices, enhancing both performance and operational insight. However, adopting a service mesh introduces challenges, including increased architectural complexity, potential performance overhead, a steep learning curve, and the risk of vendor lock-in. Observability is another challenge, as service meshes like Istio often require manual code changes to achieve comprehensive end-to-end visibility, which can be labor-intensive and incomplete. Solutions like Dynatrace aim to address these observability issues by providing automatic, AI-driven insights and root cause analysis, helping organizations overcome the limitations of traditional service mesh observability without additional coding or configuration.