Case studies

Production engineering patterns without inflated claims.

These examples describe engagement categories, constraints, engineering approach, validation, and client value without fabricated identities, revenue numbers, percentages, or quotes.

Featured case studies

Project patterns built for measurable production improvement.

Realistic engagement patterns without invented client identities, fake metrics, or unsupported claims.
Production DeploymentInfrastructure MonitoringPerformance InvestigationCI/CD AutomationServer MigrationProduction Recovery

Multi-Application Production Deployment

Several application services needed dependable deployment, proxying, SSL, and environment separation.

Next.jsNestJSPM2ApacheSSLCI/CD

Approach

Deployed and managed multiple Next.js and NestJS services using PM2, Apache reverse proxy, SSL automation, and environment-specific CI/CD pipelines.

Result

Documented deployment path, SSL and proxy configuration, and safer release operations.

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Centralized Infrastructure Monitoring

Production services were running without reliable visibility into uptime, server health, or application checks.

PrometheusGrafanaNode ExporterBlackbox Exporter

Approach

Built a Prometheus and Grafana monitoring environment using Node Exporter, Blackbox Exporter, and custom application health checks.

Result

Dashboards, health signals, and alerting paths that make production behavior easier to act on.

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Production Performance Investigation

A live application needed diagnosis across proxy saturation, Node.js memory pressure, and slow endpoints.

ApacheNode.jsPM2LinuxLogs

Approach

Investigated Apache worker saturation, Node.js memory pressure, slow endpoints, server load, and application-level errors in a live production environment.

Result

Root-cause investigation notes, stabilization steps, and a clearer path for the next release window.

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Automated CI/CD Deployment

Manual releases were slow, inconsistent, and difficult to validate safely after deployment.

Bitbucket PipelinesSSHPM2Health Checks

Approach

Created Bitbucket Pipelines for automated builds, secure artifact transfer, server-side deployment, process restart, and health validation.

Result

Repeatable release pipeline with validation checks, controlled restart steps, and handover notes.

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Consultation

Discuss a similar production challenge.

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