Shridhan R.

23+ years of strong and demonstrable experience in Cloud & IT Infrastructure Services - ⭐⭐⭐⭐⭐Hands on experience in delivering IT Solutions & Services, and partnering with customers to transform Cloud & IT Infrastructure services⭐⭐⭐⭐⭐ ⭐⭐⭐⭐⭐Proven experience in building & delivering Cloud strategy and technology roadmap aligned to business vision, leveraging evolving technologies, anticipating business challenges and competition. Delivered differentiated solutions, with direct value ads to the end customers and technology fuelled growth for the businesses. ⭐⭐⭐⭐⭐Recent Hands-on experience in designing and implementing Simple to Complex DevOps and Cloud solutions in - A) AWS for business critical applications. Implemented end to end solutions in AWS including VPC, EC2, EBS, S3, EFS, ELB, IAM, Auto Scaling - ASG+Launch templates/Configuration, Cloud AutoScaler for kubernetes, security groups, security policies, AMI’s, Snapshots, RDS with read replicas, memcached servers, Route-53, NAT-Gateway, Cloudfront, Infrastructure as a Code - CloudFormation deployments, Lambda, Cloudwatch, CI/CD pipelines etc. across multiple AZ’s and Regions. Designed, Deployed and supported microservices solutions with DevOps tools stack including self-managed kubernetes in AWS, EKS, ECS, and Fargate clusters. Recently handled 25+ DevOps projects e.g. deployment of Self-managed kubernetes clusters in AWS, AWS-EKS & ECS kubernetes scalable clusters - with horizontal & vertical pod & node scalability, ELK stack across multiple environments -both on private cloud and elasticsearch public cloud, Hashicorp Vault and Consul clusters for static and dynamic secrets handling, External ETCD cluster for kubernetes DB, deployment of 3-node ScyllaDB Clusters, NFS dynamic volume provisioner for statefulsets, MySQL clusters, KEDA auto scaler, k8s metrics server, Performance testing using JMeter API tests, RASA ML Chatbot services, nginx, kong api gateway & controller, HA-Proxy, RabbitMQ 3 & 5-node STS, GPU based ML services in kubernetes, MinIO-S3 for containers, deployment of Spark-on kubernetes, deployment of Argo Workflow etc. Complete Automation to build k8s self-managed cluster including vpc, 3-master nodes across 3-az's, 3-external etcd node cluster, multiple worker-nodes, ha-Proxy for master - nodes, etcd certificate creation and distribution, etc using TF+ansible - deployment time @1 hour in AWS. B) Azure - AKS deployment with GPU nodes & ML services C) GCP - GKE cluster deployment and configuration for POC’s ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐⭐Kubernetes, AWS & Azure Certified ⭐⭐⭐⭐⭐ Please feel free to check other professional certifications in the profile ⭐⭐⭐⭐⭐ To know more - please visit :- [login to view URL]