AWS Cloud
Cloud infrastructure, networking, storage, compute and application hosting.
AWS Cloud and DevOps professional focused on cloud infrastructure, containerized applications, CI/CD automation, Kubernetes, Terraform, monitoring and reliable deployments.
Practical experience across AWS infrastructure, containers, Kubernetes, automation, deployment and monitoring.
Cloud infrastructure, networking, storage, compute and application hosting.
Container orchestration, workloads, networking, scaling and persistent storage.
Source control and automated build, test, image and deployment workflows.
Repeatable infrastructure provisioning and configuration automation.
Application and cluster visibility with metrics, dashboards and operational checks.
Linux administration and application hosting using common web and process tools.
A portfolio layout built around the AWS, Docker, Kubernetes, Terraform and monitoring work represented in the original portfolio.
Provisioned an Amazon EKS environment using Terraform, including cluster and node-group configuration and supporting AWS resources.
Set up a Kubernetes monitoring stack using Helm with Prometheus, Grafana and Metrics Server components.
Worked with containerized applications and Kubernetes manifests for deployment, services and workload management.
Hands-on work with Docker images, Amazon ECR and Amazon ECS using the EC2 launch type.
Experience and career direction reflected in the supplied portfolio and profile information.
Hands-on learning and practical implementation across AWS, Terraform, Docker, Kubernetes, CI/CD, EKS, monitoring and cloud infrastructure operations.
Technical and functional consulting experience with Infor LN ERP, supporting enterprise application concepts and technical workflows.
Worked with AWS services including EC2, S3, CloudFront, ECR, ECS, IAM, VPC, load balancers, Auto Scaling, CloudWatch, Route 53, backups and storage concepts.
Practical AWS administration with a focus on reliable infrastructure and troubleshooting.
Using Terraform, CI/CD and scripting concepts to reduce repetitive operational work.
Hands-on Kubernetes and Docker experience with workloads, networking, scaling and observability.
I'm open to AWS Cloud, Cloud Support, DevOps and related opportunities where I can contribute to cloud infrastructure and automation.