Designed and implemented a fully automated deployment pipeline for a telecom network orchestration platform, leveraging Python-based microservices packaged in Docker containers and deployed on a Kubernetes cluster. The system features a Jenkins-driven CI/CD pipeline that automates build, testing, and deployment processes, guaranteeing seamless releases and fast rollback capabilities. Centralized log management is handled via the ELK Stack, while Prometheus and Grafana are integrated for real-time monitoring, offering greater operational transparency, and ensuring high availability and performance. Engineered an automated system for log retrieval and monitoring within Kubernetes environments using Python scripts. Integrated the automation process into Jenkins CI/CD pipelines to facilitate continuous testing, building, and deployment of these scripts. This solution improved operational efficiency by providing real-time, automated access to crucial log data, thereby reducing manual log searches, and significantly accelerating issue detection and resolution for monitoring teams.