This paper provides a comprehensive review of leveraging cloud-native technologies to enhance scalability and resilience in software development. It begins by examining the foundational concepts of cloud-native architecture, including containerization, microservices, and declarative APIs. These principles enable dynamic scaling and high availability. The review then explores key components of cloud-native ecosystems, such as Kubernetes for container orchestration and service meshes for enhancing resilience through secure communication between microservices. Best practices for designing scalable and resilient applications, including distributed tracing, circuit breaking, and chaos engineering, are discussed. Case studies from Netflix, Spotify, and Airbnb illustrate how these technologies have been successfully implemented to achieve greater agility and reliability. Challenges and considerations, such as complexity, security, and compliance, are also addressed. The paper concludes by highlighting future directions and emerging trends, including serverless computing, edge computing, hybrid/multi-cloud architectures, AI-driven autonomy, and zero-trust security. Emphasizing the importance of continuous learning and collaboration, the review offers recommendations for organizations to effectively adopt and leverage cloud-native technologies.This paper provides a comprehensive review of leveraging cloud-native technologies to enhance scalability and resilience in software development. It begins by examining the foundational concepts of cloud-native architecture, including containerization, microservices, and declarative APIs. These principles enable dynamic scaling and high availability. The review then explores key components of cloud-native ecosystems, such as Kubernetes for container orchestration and service meshes for enhancing resilience through secure communication between microservices. Best practices for designing scalable and resilient applications, including distributed tracing, circuit breaking, and chaos engineering, are discussed. Case studies from Netflix, Spotify, and Airbnb illustrate how these technologies have been successfully implemented to achieve greater agility and reliability. Challenges and considerations, such as complexity, security, and compliance, are also addressed. The paper concludes by highlighting future directions and emerging trends, including serverless computing, edge computing, hybrid/multi-cloud architectures, AI-driven autonomy, and zero-trust security. Emphasizing the importance of continuous learning and collaboration, the review offers recommendations for organizations to effectively adopt and leverage cloud-native technologies.