Gayathri G D

• Created and configured VM as Azure pipeline self-hosted agent for building .NET and java , c++ applications
• Scripted CI/CD pipeline for building .NET and java ,c++ application
• Wrote Python scripts to configure agents and automate build process
• Recently done Ubuntu migration 20.00 to 22.04 in project
• Migrated source code from Jenkins physical machines to Azure Repos
• Used Conan to manage Docker images and C++ packages in JFrog Artifactory Resolved self-hosted build agent VM's vulnerability issue tickets Used Azure DevOps APIs to monitor pipeline and repos through PowerShell script.
• Implemented and maintained Continuous Integration and Delivery pipelines using Azure DevOps.
• Created PowerShell scripts for various automations and Implemented it in Azure DevOps Worked on Azure Services such as API Management, Key Vaults, Azure Storage, Application Insights, Azure Cosmos DB, Azure VM.
• Creating/managing Migrating Projects in Azure DevOps service. Deployed Application into container (Docker, AKS,EKS)
• Experienced in writing Kubernetes manifest files like deployments, services, secrets...etc
• Experience in using Antifactory Repository Managers and version control Using (Azure Repo, Git, TFVC) Applied Argo-rollouts to get the benefits of progressive delivery of deployment strategies like blue-green delivery.
• Integrated third-party applications into existing software, enhancing features and performance.
• Used Docker and Kubernetes to manage, scale and update containers for improved automation possibilities. Contributed to sprint planning, prioritizing backlogs to meet new demands. Docker volumes, Docker images.
• Kubernetes cluster with Kubeadm and KOPS structures and have done deployment working on several Docker components and Kubernetes.
• I have java experience also when I am doing project work.
• Developed testable software using agile methodologies to create high-quality deliverables Resolved Jira tickets with comprehensive bug fixes.
• Collaborated closely with product development teams and other stakeholders

• Worked on ARM templates to create Azure Services, while ensuring no changes were made to the existing infrastructure
• Used maven scripts to build the source code. Supported and helped to create Dynamic Views and Snapshot views for end users.
• Implementing Azure services such as Azure Active Directory, Azure Blob Storage, Azure VM and deploying application on Azure Service
• Automated the code deployment process in each environment (development, QA, Staging, Production).
• Working good knowledge on CI/CD system using Azure DevOps. Used Shared Image gallery to store the created images and built Azure Pipelines in Azure DevOps to implement all these services in Azure.
• Experience with version control tools such as Git and comprehensive knowledge of source controller concepts including branches, tags, and merges.
• Troubleshoot deployment problems, release issues and environment issues in a multi- component environment.
• Implemented log management system using Azure Log Analytics Workspace for collecting, archiving and visualizing metrics
• Configuration and Integration of ADB2C token based authentication and authorization (RBAC) i

• Setting up End to End DevOps Agile using Azure DevOps component.
• Creating pipeline test and release using YAML pipeline & Classic Pipelines. Finally running the application on Azure platform like VMs/Docker/AKS Worked on Test plan troubleshooting and integrating SonarQube with Azure Devops
• Worked on installation of various Microsoft hosted Extension for Azure DevOps application SonarQube

Provisioning the multiple EKS clusters by integrating the Kubernetes providers with Terraform

✓ Provisioning the IAM Users, Groups, roles and IAM policies using Terraform

✓ Provision the base VPC to point the multiple clusters and its addons

✓ Provisioning the EKS networking , EKS security and applied the industry best practices to secure the cluster

• Closely worked with development, QA, and other teams to ensure automated test efforts are tightly integrated with the build system and in fixing the error while doing the deployment and building
• Having good knowledge in Amazon EC2 technologies EC2, S3, VPC, EBS, ELB, EFS, AutoScaling, IAM, through AWS Console Help engineering teams implement new technologies in development for future production deployment
• Actively monitor and administer the applications and hosting environment to increase efficiency, improve reliability, and minimize downtime
• Managed CI/CD pipeline for C++ , .NET and Java application using Jenkins
• Created AWS S3 buckets to store older log and telemetry data of vehicles
• Used AWS EC2 for application hosting and AWS Lambda for incoming data processing Created alarms in AWS Cloud Watch to watch for EC2 CPU and Memory usage