// DevOps Engineering
Manual deployments, hand-built servers, and "it works on my machine" slow every release and turn small changes into risky events. Pearson Cyber Defense builds DevOps foundations that make every change repeatable: code in Git, automated builds and tests, security gates, versioned containers, and infrastructure defined as code.
We design, implement, and operate CI/CD pipelines with Jenkins, GitHub Actions, or GitLab CI, package applications with Docker, provision environments with Terraform, configure servers with Ansible, and watch everything with Prometheus and Grafana. Because we come from a security background, every pipeline ships with secret scanning, vulnerability checks, least-privilege access, and an audit trail your compliance team will appreciate.
Jenkins, GitHub Actions, or GitLab CI pipelines that build, test, scan, and deploy on every commit, with approval gates where the business needs them.
Multi-stage Docker builds, private image registries, and Docker Compose or Kubernetes with Helm, sized to what the workload actually needs.
Terraform for AWS, Azure, and Proxmox environments, versioned in Git, reviewed in pull requests, and applied through plan approvals with drift detection.
Ansible playbooks and roles for server builds, CIS-style hardening baselines, patching, and repeatable application deployments across every environment.
Prometheus metrics, Grafana dashboards with deployment markers, Loki logs, and Alertmanager routing to email, Microsoft Teams, or Slack.
Secret scanning, code quality gates, dependency and container scanning, signed artifacts, least-privilege pipeline credentials, and audit-ready change history.
Every commit travels the same audited path from Git to production, with security gates and live telemetry at every stage.
Branch protection, pull-request reviews, and signed commits before anything merges.
Automated builds and test suites on every push, with parallel stages and cached dependencies.
Quality, dependency, container, and secret scans that fail the build on critical findings.
Versioned, reproducible images and charts pushed to a private registry.
Environments defined in code and applied only after a reviewed plan.
Idempotent configuration, injected secrets, and zero-downtime rollouts with automatic rollback.
Metrics, logs, dashboards, and alerts wired to your team from day one.
Transparent pricing. No hidden fees. Scale as you grow.
Map your path from commit to production and get a prioritized roadmap
A production-ready CI/CD pipeline for one application
Ongoing pipeline, infrastructure-as-code, and observability operations
We build where your code already lives. GitHub repositories usually fit GitHub Actions, GitLab fits GitLab CI, and Jenkins is the right call for self-hosted, air-gapped, or heavily customized pipelines. The assessment recommends one platform and explains the trade-offs.
Yes. Most engagements start with an existing Jenkins job, a handful of scripts, or manual deployments. We keep what works, add missing tests and security gates, containerize builds, and move infrastructure into Terraform and Ansible step by step, without a disruptive rewrite.
Not always. Many business applications run well on Docker Compose, systemd services, or virtual machines managed by Ansible. We recommend Kubernetes only when scale, multi-service complexity, or availability requirements justify the added operational cost.
Yes. For CMMC, NIST 800-171, or CUI-sensitive work we design self-hosted pipelines (Jenkins or GitLab runners, a private Harbor registry, and on-premises Terraform state) so code and artifacts stay inside your boundary, with change approvals and audit logs that double as compliance evidence.
Secrets never live in Git. We use HashiCorp Vault, cloud secret managers, or the CI platform credential store, scan every commit for leaked keys with Gitleaks, and scope pipeline credentials to least privilege.
Prometheus collects metrics from servers, containers, and applications. Grafana dashboards show health, latency, errors, and deployment markers. Alertmanager routes alerts to email, Microsoft Teams, or Slack, and Loki can centralize logs for faster troubleshooting.
Get a CI/CD pipeline assessment and a roadmap built around your stack.
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