Case Study / DevSecOps & Pipeline Automation

From Six-Hour Weekend Releases
to 180 Secure Deployments a Month

Jenkins, GitHub Actions, and GitLab CI rebuilt around one rule β€” nothing reaches production without passing SonarQube, Snyk, and a JMeter load test β€” with Tenable.io and Splunk watching everything that does.

Client Online Retailer (US)
Timeline 14 Weeks Assessment
Scope PCI DSS & Pipeline Gating
Scale ~$60M Annual Revenue
GitHub Actions Production Release Run with Automated Gates πŸ” Expand GitHub Actions Pipeline
20 min
Engineer Effort per Release (was 14h)
187 / mo
Production Deployments (was 2)
3.7%
Change Failure Rate (was 28%)
64 β†’ 0
Critical Vulnerabilities Remaining

⚠️ The Challenge

The retailer shipped twice a month, and every release was an event: a six-hour Saturday window, a 41-step runbook, four engineers on a call, and roughly 14 engineer-hours of manual effort.

Three uncoordinated pipelines existed across Jenkins, GitHub Actions, and GitLab with no security checks. 28% of releases caused an incident or rollback, while baselines revealed 64 critical vulnerabilities and checkout p95 latency sat at 1.9s under peak load.

⚑ The Cyber Oxygen Approach

We executed a 14-week DevSecOps transformation focused on standardizing security and automated controls:

  • Standardized Pipeline Contract: Mapped all paths to production and defined common security gates regardless of tool.
  • Pipelines-as-Code & Security Gating: Enforced SonarQube quality gates, Snyk SCA/container scanning, and signed images before staging.
  • Runbook Automation: Automated DB migrations, feature flags, CDN purges, and Terraform IaC scans.
  • Performance & Continuous Observability: Integrated JMeter performance threshold gates, Tenable.io vulnerability SLAs, and unified Splunk logging.

Quantified Impact (12-Month Comparison)

Measure Before Cyber Oxygen After Cyber Oxygen
Engineer effort per release ~14 hours, 4 people ~20 min, hands-off
Production deployments per month 2 187 (avg. 8–9 per day)
Lead time (merge β†’ production) 11 days 51 minutes
Change failure rate 28% 3.7%
Time to roll back bad release ~90 min, manual < 3 min, automatic canary
Critical vulnerabilities 64 0 (highs 231 β†’ 6)
Checkout p95 at 6Γ— peak load 1.9 s (4.1% errors) 412 ms (0.03% errors)
Holiday-peak incidents 3 (incl. checkout outage) 0 incidents

Pipeline & Observability Proof Elements

Jenkins Staging API Pipeline Stage View πŸ” Expand Jenkins View

Jenkins Staging Pipeline View

Stage view of the staging API pipeline: checkout, database scripts, build, publish, and per-service deploys completing in under 18 minutes on every commit.

Jenkins Job Overview πŸ” Expand Job Dashboard

Jenkins Central Job Architecture

Storefront, checkout, and catalog pipelines integrated with Cypress end-to-end suites and automated one-click rollback jobs for every production API.

GitLab Infrastructure Merge Request πŸ” Expand GitLab Merge Request

GitLab Infrastructure Control

Infrastructure-as-Code merge request with Terraform plan validation, tfsec/checkov IaC scanning, and dual approval requirements prior to production deployment.

SonarQube Project Status Dashboard πŸ” Expand SonarQube Report

SonarQube Security Quality Gates

All nine project repositories passing automated quality gates with 100% of security hotspots reviewed and cleared before code merge.

JMeter Load Testing Telemetry Graph πŸ” Expand JMeter Performance Test

JMeter 6Γ— Peak Load Testing

Real-time performance results against 2,000 concurrent users: p95 latency reduced below the 500ms SLO while error rate dropped from 4.1% to 0.03%.

Tenable.io Executive Vulnerability Dashboard πŸ” Expand Tenable Dashboard

Tenable.io Vulnerability SLA Management

Critical vulnerabilities eliminated across 14 weekly scans, achieving 100% SLA compliance and a passed PCI DSS external ASV scan.

Splunk Enterprise DevSecOps Operations Dashboard πŸ” Expand Splunk Dashboard

Splunk Enterprise Unified Telemetry

Correlated deployment markers against error rates, WAF blocks, and security events into a single executive command center.

β€œReleases used to be the scariest thing we did. Now they’re the most boring β€” and I get a Splunk dashboard instead of a Saturday-night phone call.”
β€” Head of Engineering, Online Retailer

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