Kelvin Onuchukwu

Utilizing Terraform for Infrastructre Automation - designing and developing environments in the AWS Cloud. Exposure to all phases of the Software Development Life Cycle ( SDLC ) Build Release Engineering and Configuration Management, which encompasses environment setup, automated build processes, continuous integration, scripting, and deployment management Designing and implementing full continuous integration and deployment pipelines using AWS CodePipeline, AWS CodeBuild and AWS CodeDeploy. Utilize Maven as a build tool for generating Java-based artifacts Utilizing Ansible for server configuration, OS patching, and package management Install and configure Prometheus and Grafana using Helm charts for cluster monitoring purposes Skilled in managing containerized applications on Kubernetes using a range of objects, including pods, nodes, deployments, replica sets, replication controllers, daemon set, stateful sets and volumes Provide support for multiple deployment teams throughout lifecycle of a project Deploy applications to Tomcat Application server and static content to Apache web servers.Implementing Continous Integration using Jenkins.

Configured Linux Systems for clients. Utilized Ansible in configuring and provisioning software systems on Amazon EC2 instances. Improved scalability by using Terraform to provision infrastructure on AWS Cloud. Migrated a client's WordPress application from a monolithic architecture to a robust, fault-tolerant, highly-available architecture on AWS Cloud - using Aurora database, Amazon Auto-scaling groups and bash scripts added as user-data. Developed Python and bash scripts to automate clients' cloud infrastructure. Improved Cloud architecture by writing AWS lambda functions for a variety of use cases. Worked on Client's cloud infrastructure to configure several AWS services including - SNS, SQS, RDS (Aurora and MySQL Databases), DynamoDB, Cognito etc. Containerized applications and deployed same on AWS cloud using AWS ECS (Fargate). Worked with AWS EKS to deploy and manage kubernetes clusters. Increased security across a large sets of kubernetes clusters by using Role Based Access Control (RBAC) to implement least privilege and fine-grained security for users, groups and service accounts. Standardized system administration tasks across a large fleet of Linux servers by writing Ansible playbooks, roles and collections. Used Python and Bash to monitor and analyse system metrics and log reports across several EC2 instances. Containerized critical multi-container software by using docker-compose scripts.