Site Reliability Engineering (SRE) is increasingly being adopted by organizations to manage the complexities of hybrid and cloud-native environments, which include thousands of microservices and a multitude of solutions within the Cloud Native Computing Foundation. Despite being in the early stages of adoption, SRE helps organizations better align reliability metrics with business objectives and enhances customer experience. Challenges such as training difficulties and finding skilled professionals are common, suggesting that developing internal expertise and using automated tools can facilitate SRE adoption. Standardizing toolchains and adopting an "everything-as-code" approach can reduce labor costs and improve system reliability through self-healing capabilities. Automation and AI are crucial for scaling SRE practices, enabling organizations to link business objectives with service-level objectives (SLOs) and reduce manual labor, although defining effective SLOs remains challenging due to information silos and complex toolsets. AIOps is becoming popular as it automates processes, enhances monitoring, identifies security vulnerabilities quicker, and supports predictive monitoring. As SRE matures, these practices are expected to provide organizations with a competitive edge in managing their application portfolios effectively.