AKHIL YAMASANI

As a DevOps/Cloud engineer, in charge of automating the configuration and deployment of cloud environments as well as finding and deciding on the services to use in a hybrid cloud infrastructure. I contributed a significant amount of time and effort into monitoring, designing, and implementing DevOps, Continuous Delivery, Continuous Integration, and Continuous Deployment practices.

Responsibilities:

• Involved in building Terraform templates for Infrastructure as a Code to set up build and automation for Jenkins and to create staging and production environments.
• Configured scripts to track server's System/Application Logs and Elasticsearch clusters to find production problems with Kibana.
• Submitting their source code to Nexus repository. GitHub source code was used to create looper pipelines for building Docker images.
• Used Jenkins was integrated with Ansible to offer automation, continuous integration using Jenkins, and repeatable deployments of multi-tier apps, artifacts, and services to Docker.
• Built Docker, Kubernetes has been used to build a private cloud that supports DEV, TEST, and PROD environments, and daemon sets for deploying Fluent Bit on Kubernetes clusters have been developed.
• Worked on infrastructure for Amazon Web Services (AWS) using automation and configuration management tools like Puppet, Ansible.
• Worked to improve knowledge of Nagios-based server monitoring, capacity planning, and application monitoring. Knowledge of SPLUNK logging and monitoring tool.
• Worked on solution delivery, application development, infrastructure management, cloud-based applications/design & migration (IaaS, SaaS, & PaaS models), Continuous Integration (CI) / Continuous Development (CD) /DevOps.
• Worked on connecting MySQL server and client and configuring the MySQL server on Microsoft Azure.
• Used Docker Images and containers while working on infrastructure using Docker containerization.
• While developing monitoring and visualization tools, Kubernetes pod metrics were periodically checked using Prometheus and Grafana.
• Used JIRA as a ticket management and workflow tool to monitor and maintain the automated build and continuous integration process to ensure proper build execution and assist build failure resolution.
• Developed with several Azure deployment methods (IaaS, SaaS, PaaS, as well as private, public, and hybrid models), including planning, strategy, design, migration, and implementation of cloud-based platforms and applications.
• Have worked with a variety of Azure services, including Compute (Web Roles, Worker Roles), Azure Websites, Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, API Management, Scheduling, Auto Scaling, and PowerShell Automation.
• Used AWS managed applications with S3, VPC, EC2, ELB, auto scaling, and connection with Cloud monitor metrics.
• To manage instance operations, Python scripts with experience were created and integrated with Amazon API.
• Database tables that can manage any amount of request traffic and data storage and retrieval were constructed using DynamoDB. Made use of a NoSQL database Cassandra.
• Worked on Bash, Python, and Shell scripts for automating baseline, branching, merging, and other activities across environments utilizing GIT and Subversion SCM tools on Linux and Windows systems.

Environment: AWS, Azure, CI/CD, SonarQube, Maven, Terraform, GIT Hub, Linux, Python, Perl, Jenkins, JIRA, AMI, S3, IAM, EBS, Docker, Ansible, VPC, Bitbucket, Bamboo, ELB, Apache Tomcat, Kubernetes.

DevOps Engineer for projects involving numerous concurrent software releases from several development teams. Software Release Management plans were created and put into action for numerous apps using the agile process Analysis, design, and concentration on integration monitoring, configuration management, and automation.

Responsibilities:

• Developed and configured Terraform, oversaw the master and worker nodes, and worked with and managed Jenkins pipelines for automated builds. For infrastructure construction, used Terraform configuration files.
• Worked on how to utilize Kubernetes for orchestrating and deploying container-based services, as well as experience running Microservices with K8s and pushing them into production.
• Developing Docker containers, Docker consoles, and other Docker-based products using configuration management tools like Docker, as well as automation solutions to manage the application life cycle and application servers.
• We developed Kubernetes, produced Pods, and used Kubernetes to manage them. To send each micro service build to the Docker registry, we used Jenkins pipelines.
• Worked on Jenkins, deploy, and shell scripts that automate common tasks in Continuous Integration (CI) and Continuous Delivery (CD) processes were developed.
• Created a number of projects and inventory file templates using Ansible Tower, scheduled and relocated servers with the necessary configuration changes, tested and deployed machines, and deployed them using Ansible commands.
• Setting up web hooks and email notifications to receive Prometheus alarms from the Kubernetes cluster.
• Developed automation scripts in Perl, Shell, and Python to deploy some apps as well as automate the build and release process.
• Used application should be monitored with New Relic after it has been developed and put into a production environment. GITHUB, Bitbucket, Jenkins, and Ansible Tower can be used to design and implement the automation and CI/CD architecture.
• To ensure adequate logging, authorization, and authentication, agile user stories and epics should be examined and adjusted.
• Created notification schemes and mail handlers for JIRA, used JIRA to work on projects, provide individuals and organizations project access, and more.
• To enable us to bootstrap instances to diverse roles without the need to maintain AMIs, we created Puppet manifests and bootstrap scripts.
• Used to take part in migration and automation processes used by DevOps to build and deliver systems. Bit bucket was utilized with version control

Environment: GitHub, Azure, Bitbucket, Python, Grafana, Prometheus, Jira, Terraform, Jenkins, CI/CD Pipeline, Docker, Kubernetes, Ansible, Chef, Python Scripting, Oracle, MY SQL.