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ENGINEERING SERVICES / 05

DevOps &
Platform Engineering.

Design, development, implementation, and maintenance of automated software development, integration, testing, and deployment environments for enterprise, cloud-based, and embedded systems applications.

CI/CDCONTAINERIZATIONINFRASTRUCTURE AS CODECLOUD AUTOMATION

One delivery platform.
Connected technologies.

Source control, build automation, containers, orchestration, infrastructure, and operations work together to take software from source code to a running system.

⌘01
Version control & collaboration

Git, GitLab & GitHub

Git tracks source-code history and supports branching and merging. GitLab and GitHub host repositories, code reviews, issues, and team collaboration.

GitGitLabGitHub
⑂09
Source control & development infrastructure

Repository Integration & Version Control

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.

GitTFVCVisual StudioC/C++
⟲02
Build, test & delivery automation

GitLab CI/CD & Runners

GitLab CI/CD defines automated pipelines for compiling, testing, packaging, and deploying software. GitLab Runners execute pipeline jobs on designated machines or container environments.

PipelinesGitLab RunnerYAML
▣03
Reproducible application environments

Docker & Containerization

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.

DockerfileImagesContainers
▦04
Container orchestration

Kubernetes

Kubernetes schedules and manages containerized workloads, supporting service discovery, scaling, rollout strategies, and recovery when application instances fail.

DeploymentsServicesScaling
◇05
Infrastructure as Code

Terraform

Terraform defines infrastructure in version-controlled configuration files and provisions resources through providers, including cloud compute, networks, and storage.

IaCHCLProvisioning
☁06
Cloud infrastructure & hosting

Amazon Web Services

AWS provides cloud compute, storage, networking, identity, and delivery services. Automated workflows can deploy applications and websites to AWS infrastructure.

AWSS3CloudFront
>_07
Automation & platform operations

Linux, Python & Bash

Linux provides the operating environment for build agents and infrastructure. Python and Bash automate system tasks, validation, configuration, and release workflows.

LinuxPythonBash
◎08
Secure, observable delivery

DevSecOps & Reliability

Security checks, least-privilege access, protected release workflows, logging, monitoring, and recovery practices help keep automated delivery dependable.

SecurityMonitoringReliability

From source code
to operational systems.

Representative workflows showing how DevOps and platform technologies combine to solve real software delivery problems.

01 / USE CASE

Automated C++ Software Delivery

Commit code to a GitLab repository; a Runner compiles the application, executes automated tests, and packages a reproducible Docker image.

Git → GitLab CI/CD → Runner → C++ Build → Tests → Docker
02 / USE CASE

Containerized Application Deployment

Build and publish a container image, then deploy it through Kubernetes with rollout controls, service networking, and operational checks.

Docker → Image Registry → Kubernetes → Monitoring
03 / USE CASE

Infrastructure Provisioning

Describe cloud infrastructure in Terraform, review the proposed changes, and provision AWS resources through controlled automation.

Git → Terraform → AWS → Infrastructure
04 / USE CASE

Cloud Website Deployment

Validate HTML and CSS changes, publish approved website files to Amazon S3, and invalidate CloudFront cached content through a controlled pipeline.

GitLab → CI/CD → AWS S3 → CloudFront

Version. Build. Test.
Package. Deploy. Operate.

Automated delivery links changes in source code to validated releases and observable, maintainable applications. Each stage contributes to reliability, repeatability, and engineering productivity.

VersionBuildTestPackageDeployOperate

Build a better
delivery platform.

Discuss software integration, automation, and infrastructure needs.

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