Praveen Edulakanti

• Having 18+ years of IT experience, this includes 8.8+ years of Professional Experience on DevOps operations process involving Automation, Build/Release Management, Software Configuration Management, Service, Incident, and Change Management. Understands and manages the space between operations and development to quickly deliver code to customers. 10 years’ experience in Web Development in PHP technology.
• Having experience in AWS, Git, Kong, Bitbucket, ColdFusion Applications, FreeIPA, Imperva, Jfrog, Ansible, Cloud Formation, Terragrunt/Terraform, Dynatrace, PagerDuty and Opsgenie.
• Designing and Setting up automation of AWS infrastructure using Terragrunt & Terraform.
• Experience in using Jenkins as a continuous integration tool to create new jobs, managing required plugins, configuring the jobs, build trigger, build system, and post build actions, scheduled automatic builds, and notifying the build report. Creating Jenkins Pipelines with Jenkins Scripted File.
• Installing and configuring Jenkins master and slave nodes on a Linux machine. Built CI/CD pipeline and managing the infrastructure as code using Terraform and Ansible.
• Hands on Experience with core concepts such as setup, Inventory, Playbooks, Roles, Tasks and Modules in Ansible.
• Experience on setting up of OpenVPN Client and Server.
• Familiar with open source such as Packer, Terraform, Docker, Jenkins, Ansible.
• Worked on standard python packages like boto3 for creating resources like AMI, Snapshots, Instances, S3, IAM, AMI Cleanup, SES, Automate EBS Volume Encryption etc. in the AWS.
• Ability to deploy on AWS, using build scripts (Boto3 & AWS CLI) and automation solutions using Python.
• Strong working experience on automating Creating Jira Ticket, Creating Confluence pages, Reading Zephyr Test Cases, Calling Webex API, Opsgenie API, Backup of Share point files using Python.
• Experience on working Errbot Framework for creating Chatbot, Commands.

Project: Wisely Card by ADP

Project handled as SRE & DevOps:

• Implementation and maintenance of the Infrastructure as Code using Packer, Terragrunt/Terraform, ansible.
• Setting up ECS Service with Infrastructure as Code.
• Migration of Jira and Confluence from VM to AWS EC2.
• Incident Management automation implemented using Python. Alerts will be categorised according to the incident's P1, P2, P3 priorities and assigned to the respective on-call person. Verifying EDA configuration.
• Release passport automation implemented using Python with the Errbot framework. All the release approvals process will happen using chatbot commands in the webex space.
• Implemented temporary database access to the development team using chatbot command in the webex space.
• Migration of Centos machine to RHEL.
• Migration of Cold fusion 2016 version application to Cold fusion 2021 version using packer, terragrunt/terraform, ansible.
• Blue-Green approach implemented for Infra Launch using terraform and ansible.
• AutoProd deployment implemented without manual interception,changes will be promoted to the production environment based on the Change Order(CO) based on the implementation date and time using python and calling Jira API to find User Story, Fix Version, AutoCO API’s and ServiceNow API.
• Configuring Monitoring alerts in Dynatrace, Splunk, Synthetic monitoring setup in BPM tool.
• On-Call support will be supporting production servers on rotation bases.
• Implementing many automation scripts using ansible and python to reduce manual interception for daily activities or repeated activities.

Project: Innovia MLS by Adaequare(Client: Corelogic)

Project handled as DevOps and Technical Lead:

• Experienced in Infrastructure as Code and using most of the AWS services like EC2 , S3 , RDS , ELB , EBS , VPC , Route53 , Auto scaling groups , IAM for installing configuring and troubleshooting on various Amazon images for server migration from physical into cloud.
• Experience in Setting up the build and deployment automation for Terraform scripts using Jenkins.
• Created multiple terraform modules to manage configurations, applications, services and automate installation process for Web Server and AWS instances.
• Experience in Configuration Management tools like Ansible, used YML packages for installing, configuring push to make changes in time.
• Worked closely with the team to review code for compatibility issues, resolve issues as they arise, and implement deployment processes and improvements on a continuous basis.
• Implemented and maintained the monitoring and alerting of production and corporate servers/storage using CloudWatch.
• Deployed configuration management and provisioning to AWS using Packer and Terraform involved in auto-mated deployment of EBS on to the AWS Cloud ec2 instance server and automated the complete deployment environment on AWS.
• Created alarms and trigger points in CloudWatch based on thresholds and monitored the server's performance, CPU Utilization, disk usage and Utilized AWS CloudWatch services to monitor environment for operational & performance metrics during load testing.

Project: GoMLS by Adaequare(Client: Corelogic)

Project handled as DevOps:

• Worked with Jenkins under the CI/CD pipeline providing continuous improvement to agile software development teams.
• Integrate GIT into Jenkins to automate the code check-out process.
• Maintained configuration files for each application for build purpose and installed on different environments.
• Installed Docker, created Dockerfile to create containers and integrated Docker with Jenkins to do build on Docker containers and to achieve Continuous Delivery goal on high scalable environment.
• Provided consistent environment using Kubernetes for deployment scaling and load balancing to the application from development through production, easing the code.
• Kubernetes is being used to orchestrate the deployment, scaling and management of Docker Containers.
• Experience in deploying Kubernetes cluster using Kops, EKS on AWS. Configured Kubernetes Master and various nodes, configured Consul for service discovery, interacted with API server using Kubectl command line utility.
• Used Jenkins pipelines to builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Experience in troubleshooting any issues generated while build and deployments.

I hereby declare that all stated in this form are true to the best of my knowledge and belief. 

Place: Hyderabad                                                                                                                   (Praveen E)