Microservices architecture, gaining attention alongside cloud migration, serverless, and Kubernetes, offers flexibility and independence in software deployment by breaking down applications into smaller, modular services. While this approach reduces dependency complexity, it increases deployment complexity, necessitating robust pipelines to manage the surge in services, as exemplified by tools like Harness. The architecture promotes more granular and independent deployments, allowing teams to work without bottlenecks, but it also introduces challenges such as increased service management complexity and potential endpoint proliferation. Despite these complexities, microservices represent an evolutionary trend in software design, providing a contrast to the monolithic architecture where changes in one functionality require entire application redeployments. The adoption of microservices involves a shift to systemic complexity, where the number of deployments increases, and infrastructure responsibility shifts towards application teams. This architecture necessitates strong deployment pipelines to avoid bottlenecks and ensure the efficient release of new services.