Venkata Suhas Padyala

About Venkata Suhas Padyala

7 years of IT industry experience into DevOps, AWS cloud, Linux, Unix, Continuous Integration, Configuration Management, Build, Deploy and Release management, Agile methodologies, VMware. Experienced in working on DevOps /Agile operations process and tools area (Cloud Services, Code review, unit test automation, Build & Release management, Automation, Containerization, Incident and Change Management, Monitoring and Linux administration.Experience in AWS offerings which includes EC2, ELB, Auto-Scaling, S3, IAM, VPC, RDS,DynamoDB, CloudWatch, CloudTrail, Lambda, Elastic-Cache, Snowball, Glacier, Elastic Beanstalk, EKS, and ECR.Substantial experience in installing, configuring, and managing Jenkins CI tool on Linux machines and using Jenkins Pipelines to push all Microservices builds to the Docker Registry (ECR), then deployed to Kubernetes, built and managed Pods using Kubernetes.Configured, used Azure Virtual Machines (VM) and Azure storage like tables, blobs. Created and Setup different blob variants like page blobs, append blobs and block blobs ensuring storage efficiency. Worked on vRA to automate IT process throughout VM lifecycle, such as provisioning, management and retirement.

Experience

1. Cloud Devops Engineer

   General Motors

   Oct 2022 — Present · Detroit, MI, US

   Configured and managed various AWS IaaS offerings including EC2 instance creations using AMIs in a VPC, RDS, S3 buckets, Glacier, CloudWatch, CloudTrail, CloudFront, SQS, SNS, and Route 53. •Designed roles and policies for new users using AWS Identity and Access Management (IAM) and utilized special Security groups, IAM roles and edited policies for Dev and Prod users to manage access to resources •Worked on Auto Scaling for EC2 instances to provide high availability at the lowest feasible cost, creating scaling plans based on application load, metrics, and events using CloudWatch. •Used Microsoft Azure to provide additional compute services for cost optimization. Built Virtual Private Networks (VPN) to include Azure computing resources. •Created Terraform templates to automate the Azure IaaS virtual machines using terraform modules and deployed virtual machine scale sets in a production environment. •Extensively used Docker for containerization, running, shipping, and deploying the application securely to speed up the build and release processes and automated docker image builds by creating Dockerfiles. •Implemented build stage to build the microservices and push the docker container image to the private docker registry and worked on Docker containers to create images of the applications. •Managed Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, templatize Kubernetes manifests, provide a set of configuration parameters to customize the deployments. •Manage local deployments in Kubernetes, create local cluster and orchestrate the deployment, load balancing and management of Docker Containers with multiple namespace versions. •Created CloudFormation templates to implement EKS cluster in AWS using Kubernetes modules and uploaded the templates into S3 bucket.