Serverless Computing and Cloud-Native Applications Trends in AWS, Kubernetes, and DevOps

Abstract

Software development evolution lately resulted in extensive use of cloud-native with serverless computing structures which changed the way applications get designed for deployment. This paper delivers an extensive evaluation of latest developments in cloud-native and serverless models that focuses especially on DevOps methodology integration. Cloud-native architectures with their features of containerization and microservices and orchestration bring agility and scalability alongside fault tolerance capacity. Through serverless computing, developers gain complete infrastructure abstraction to release code automatically with minimal operating costs when responding to system events. Through their union with DevOps practices, this technology combination speeds up software development through continuous integration and delivery, and monitoring. Discussed within the paper are the major challenges of security and performance optimization and vendor lock-in and observability requirements. New innovation trends based on AI automation alongside platform engineering and event-driven architecture design elements now shape the direction of DevOps practices. The research paper summarizes upcoming directions that consist of multi-cloud implementations along with improved toolchains and enhanced governance procedures.