About

Lakshmi Phanindra R. is a highly skilled DevOps Engineer with over 4 years of relevant experience in designing and implementing DevOps practices using open-source tools. He is a certified AWS professional with expertise in AWS cloud services, including IAM, VPC EC2, S3, R53, Elastic search, kibana, Elastic cache Redis, Lambda, ECR, ECS Fargate, Cloudwatch, AWS EKS, AWS SecurityHub & AWS dev tools code commit, code build, code deploy, and code pipelines. Currently working as a DevOps Engineer at Monocept, Lakshmi is responsible for automated infrastructure creation using Terraform modules, implementing Zero downtime architecture to deploy microservices in the ECS Fargate cluster, and implementing the entire application lifecycle automation using cloudwatch events, code commit, code build, code deploy, code pipelines, and Docker, Jenkins, and JIRA. He has also implemented the security for docker images, monitored all the metrics and custom metrics in Cloudwatch & Grafana, and streamed entire cloudwatch logs of ECS cluster by enabling container insights and created subscription filters for each log group by triggering Lambda function to Elastic search and visualize in kibana. Lakshmi has previously worked as a DevOps Consultant at Monocept and DevOps Engineer & Front End Developer at Creative Tech Mars. In both roles, he has worked on AWS and Azure cloud providers, automated the workflow of creating infra in AWS and Azure cloud using Terraform, and built robust web apps using HTML5, CSS3, JS, JQUERY, BOOTSTARP4 and ANGULAR7. Lakshmi holds a Bachelor of Technology degree in Information Technology from Vishnu Institute of Technology, which he completed in 2018. He is proficient in a wide range of technologies, including AWS, DevOps, Terraform, Docker, Ansible, Azure, Jenkins, Kubernetes, ECS, infra, CI/CD, Elastic Search, Search, Redis, Microservices, Frontend, Web, and AngularJS. Overall, Lakshmi is an experienced DevOps Engineer with a proven track record of designing and implementing DevOps practices at a large scale using open-source tools to achieve faster application deployment cycles and high uptime of applications using a stabilized and self-healing infrastructure.