Naga Pavan Muni

Led runtime reliability and performance optimization for cloud-native applications, ensuring 99.9% uptime and reducing incident recovery time by 30%. Developed Spring Boot–based microservices for runtime management and automated deployment in AWS and Kubernetes environments. Integrated proactive monitoring, logging, and alerting pipelines with Splunk, CloudWatch, and Prometheus to detect and resolve performance bottlenecks early. Built automation scripts in Python and Bash to streamline deployment and recovery tasks, cutting manual intervention by 40%. Collaborated with cross-functional teams to implement root cause analysis and post-incident reviews, strengthening overall system resilience.

Supported critical applications through runtime analysis and real-time performance tuning using Splunk dashboards and JMX metrics. Designed and developed API monitoring tools and runtime health checks for microservices, improving stability and MTTR across distributed environments. Implemented automated deployment workflows leveraging Jenkins, Docker, and Kubernetes, enhancing release frequency and environment consistency. Led incident triage sessions, collaborating with infrastructure and application teams to resolve complex runtime issues. Optimized backend services using Spring Boot, Java, and PostgreSQL, improving API throughput by 25%.

Implemented runtime monitoring systems using AWS CloudWatch and Splunk, improving early detection of critical errors across financial applications. Developed backend modules using Java, Hibernate, and RESTful APIs, ensuring secure and high‑performing data workflows. Automated recurring operational tasks through Python and UNIX scripts, reducing manual efforts and system downtime. Collaborated on the root cause analysis of production incidents, implementing fixes and preventive measures to improve long‑term reliability. Contributed to the CI/CD pipeline configuration with Jenkins and Maven, ensuring secure deployment practices aligned with DevSecOps principles.