Tharun Thonukunoori

• Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups, Optimized volumes and EC2 instances.
• Created AWS S3 buckets, performed folder management in each bucket, Managed cloud trail logs and objects within each bucket. Utilization of Terraform for automated infrastructure deployments (AWS ELB, AWS EC2, AWS Security Groups, AWS VPC, AWS Key Pairs, AWS IAM).
• Configured the Load Balancers and VPC with private subnets and performed troubleshooting for connectivity issues.
• Involved in Development and Implementation of Continuous Integration (CI) and Continuous Deployment (CD) pipeline involving Jenkins, Ansible, Terraform and Docker containers to complete the automation from commit to deployment.
• Worked on creation of multiple Amazon Machine Images (AMI) for multiple regions and different environments using Packer Scripts and automated in Ansible playbooks.
• Container management using Docker by writing Docker files and setup the automated build on Docker Hub and installed and configured Kubernetes.
• Used security groups, network ACLs, Internet Gateways, NAT instances and Route tables to ensure a secure zone for organizations in AWS public cloud.
• Managed DNS using AWS Route 53 service and created AWS Route 53 to route traffic between different regions.
• Used Elastic search ELK, Log stash and Kibana for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.
• Assisted in configuring to RDS database running on MySQL engines
• Experienced in installing, configuring, modifying, testing and deploying applications on Apache Webserver, Nginx and Application servers such as Tomcat, Jboss.
• Developed Shell/Perl Scripts for automation purpose.
• Integrated Datadog in Jenkins pipeline and Automate the Dashboard and Alerts.
• Migrated infrastructure monitoring from Zabbix to Datadog.

• Worked extensively with Microsoft Azure Cloud services such as Application Gateways, Load Balancing, Virtual Machines, Virtual Networks, Subnets, Express Route, Azure Active Directory (AD), Azure Resource Manager (ARM), Blob Storage and SQL Database.
• Will versed with Azure Networking solutions including Virtual Networks (VNET), Gateways for point-to-site and site-to-site VPN connectivity, Load Balancers and Application Gateways.
• Worked extensively on creating and managing Azure Key Vault Keys, Secrets, and Certificates along with assigning Access Policies for Service Principal's to access these Key Vaults.
• Extensive experience using Azure DevOps pipelines to deploy all Microservices builds to the Docker registry, followed by Kubernetes deployment, pod creation, and cluster management, leveraging Helm charts for streamlined and repeatable application deployment.
• Assisted in setting up end-to-end pipelines in Azure DevOps using YAML scripts and configuring service connections in across multiple Projects in Azure DevOps Organization.
• Responsible for writing Ansible Playbooks to Patch and Reboot the Ubuntu, Centos, RedHat and Windows Virtual Machines across all environments and written Ansible Playbooks to send the final report to the team through email.
• Assisted in setting up Azure Monitoring tools like Azure Log Analytics and Azure Application Insights for resource level logs of entire subscription and store the logs in the Event Hub.
• Understood Splunk configuration and able to debug Splunk related issues.
• Built jobs in Jenkins to build Azure infrastructure from GitHub repositories containing Terraform code, managed builds in Jenkins and integrated tools from different DevOps stacks like JFrog, SonarQube, and chef.
• Played a significant role in writing Bash scripts and deploying CRON Jobs on remote Linux servers to execute these scripts under root user.
• Developed infrastructure using Terraform and Cloud Formation and automated end-to-end transit hub connectivity resource deployment in Azure via Terraform.
• Developed and tested backup and disaster recovery strategies using Azure Backup, minimizing downtime risks.
• Developed Python scripts for automating Azure DevOps pipelines and cloud infrastructure monitoring.
• Proficiency using PowerShell scripts in various environments to tag the existing Microsoft Azure infrastructure, which is currently without any tags associated.