Service mesh technology, which historically lacked clear definition, is evolving to address modern challenges in observability, security, and cost efficiency, particularly through the concept of ZeroLB. ZeroLB, a pattern rather than a specific product, proposes the elimination of centralized load balancers in favor of decentralized, intelligent load balancing within a service mesh, enhancing performance, reducing latency, and cutting costs by eliminating the need for cloud-specific load balancers. This approach leverages the portability of containers and platforms like Kubernetes, allowing services to run seamlessly across multiple clouds and data centers, and provides strategic advantages by enhancing software replicability and reducing dependence on specific cloud providers. The decentralization of workloads increases development velocity and scalability, as services can be scaled independently, avoiding the pitfalls of monolithic applications. By moving away from traditional load balancing, organizations can focus on delivering better user experiences through more efficient traffic management and reduced infrastructure complexity, ultimately allowing systems to self-manage and reducing the administrative burden.