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CI/CD & Production Infrastructure for a Web Application

Production Infrastructure & CI/CD for a Company Website Client A manufacturer of branded research products that needed a website to present its product catalog to customers Challenge The developers had written the code of a conventional web application (NestJS backend + Next.js frontend), but infrastructure was completely missing: manual deployments, no CI/CD, no server setup, no monitoring, no backups and no separation between test and production environments. The goal was to build a complete DevOps stack from scratch: GitLab CI/CD, a self-hosted server, two isolated environments, HTTPS, monitoring, alerting and automated backups.

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Prometheus + Grafana Monitoring Stack

Observability Stack for Microservices Architecture Client Early-stage startup Challenge After migrating to a microservices architecture (15+ services), the team had no centralized monitoring in place. Issues were only discovered through user complaints β€” typically 30+ minutes after they occurred. A full observability stack was needed to detect and diagnose problems proactively. Solution 1. Monitoring Architecture Prometheus for metrics collection Grafana for visualization Loki for centralized log aggregation Jaeger for distributed tracing Alertmanager for notifications 2. Metrics Collection Automatic service discovery in Kubernetes Application-level custom metrics System metrics via node-exporter Database metrics via postgres-exporter and redis-exporter 3. Grafana Dashboards Per-service dashboards for each microservice Unified infrastructure overview dashboard SLA/SLO tracking metrics Business metrics (RPS, conversion rate) 4. Centralized Logging (Loki) Log aggregation across all services Full-text log search via Grafana Log-to-metric correlation 5. Distributed Tracing (Jaeger) HTTP request tracing across services Call chain visualization Bottleneck identification Per-service latency analysis 6. Alerting Alerts delivered to Slack / PagerDuty / custom webhooks Critical issue escalation On-call rotation support Automatic incident creation Technologies Prometheus Grafana Kubernetes Docker Helm Linux Results βœ… MTTD: reduced from 30 minutes to under 1 minute βœ… MTTR: recovery time reduced by 60% βœ… Alerts: proactive notifications before users are impacted βœ… Visibility: full observability across all services βœ… Capacity planning: data-driven resource forecasting

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