Git, GitLab & GitHub
Git tracks source-code history and supports branching and merging. GitLab and GitHub host repositories, code reviews, issues, and team collaboration.
Design, development, implementation, and maintenance of automated software development, integration, testing, and deployment environments for enterprise, cloud-based, and embedded systems applications.
Source control, build automation, containers, orchestration, infrastructure, and operations work together to take software from source code to a running system.
Git tracks source-code history and supports branching and merging. GitLab and GitHub host repositories, code reviews, issues, and team collaboration.
Git and Team Foundation Version Control (TFVC) support version tracking and organized development workflows. Cloud-hosted repositories and Visual Studio integration bring new and existing C/C++ applications under source control.
GitLab CI/CD defines automated pipelines for compiling, testing, packaging, and deploying software. GitLab Runners execute pipeline jobs on designated machines or container environments.
Docker builds portable container images and runs isolated containers with the application and its dependencies. Useful for repeatable build tools, test environments, and deployment packaging.
Kubernetes schedules and manages containerized workloads, supporting service discovery, scaling, rollout strategies, and recovery when application instances fail.
Terraform defines infrastructure in version-controlled configuration files and provisions resources through providers, including cloud compute, networks, and storage.
AWS provides cloud compute, storage, networking, identity, and delivery services. Automated workflows can deploy applications and websites to AWS infrastructure.
Linux provides the operating environment for build agents and infrastructure. Python and Bash automate system tasks, validation, configuration, and release workflows.
Security checks, least-privilege access, protected release workflows, logging, monitoring, and recovery practices help keep automated delivery dependable.
Representative workflows showing how DevOps and platform technologies combine to solve real software delivery problems.
Commit code to a GitLab repository; a Runner compiles the application, executes automated tests, and packages a reproducible Docker image.
Build and publish a container image, then deploy it through Kubernetes with rollout controls, service networking, and operational checks.
Describe cloud infrastructure in Terraform, review the proposed changes, and provision AWS resources through controlled automation.
Validate HTML and CSS changes, publish approved website files to Amazon S3, and invalidate CloudFront cached content through a controlled pipeline.
Automated delivery links changes in source code to validated releases and observable, maintainable applications. Each stage contributes to reliability, repeatability, and engineering productivity.
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