Sridhar Patlolla

Background

About Sridhar Patlolla

7 Years of experience leading Unix infrastructure team of System Administrators on Linux, AIX and Vmware. • Experience in Architecting and securing the Infrastructure on AWS using IAM, KMS, EMR, Cognito, API Gateway, Cloud Trail, Cloud Watch, Amazon Simple Queue Service (Amazon SQS), Config, AWS Kinesis, Lambda, NACL, Elastic Beanstalk, Redshift and CloudFormation • Ensured successful architecture and deployment of enterprise grade PaaS solutions using Pivotal Cloud Foundry (PCF) as well as proper operation during initial application migration and set new development. • Analyzed various distributed file systems suitable for a cloud storage using a storage benchmark. Tested a private storage cloud using Open Stack SWIFT software and worked as well with OpenStack. • Experience in CloudFormation to automate AWS environment creation along with the ability to deployment on AWS, using build scripts (AWS CLI) and automate solutions using Shell and Python. • Expertise in integrating Terraform with Ansible, Packer to create and version the AWS Infrastructure, designing, automating, implementing and sustainment of Amazon machine images (AMI) across the AWS Cloud environment. • Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure. • Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments. • Containerized all the Ticketing related applications - Spring Boot Java and Node.js applications using Docker. • Used AZURE APP.FABRIC Message BUS to provide valuable functionality for integrating existing systems and building composite applications, deploy SOA components in an autonomous but federated manner for achieving true agility, flexibility among enterprises (composite applications and ESB are complementary solutions) • Build a fully functional demo for Education Analytics Product using SharePoint Online, Windows Azure, SQL Azure, Silverlight technologies. • Created dynamic routing/load balancing capability enabling large application scaling, used ingress rules and Ingress Controllers- Traefik and Nginx. • Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages. • Implemented AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, Cloud Trail, Cloud Formation AWS Config, Autos calling, Cloud Front, IAM, S3, R53. • Managed Docker orchestration and Docker containerization using Kubernetes.