DISPATCH C — FIELD REPORT
SeatSnap
Containerized Microservices Ticketing Platform with Zero-Downtime CI/CD
Docker + Kubernetes (AWS EKS)
Jenkins Declarative Pipelines, Trivy, JWT/OAuth2
The Double-Booking Crisis
In high-demand event ticketing, legacy monolithic systems crash under sudden traffic spikes ("ticket drops"), leading to race conditions and double-booked seats. SeatSnap solves this by decoupling the reservation engine from the user gateway, utilizing a highly available, containerized microservices architecture built from the ground up with cloud-native DevOps principles.
Containerized Microservices & Distributed Locking
Web / Mobile App
TLS & Rate Limiting
User, Booking & Payment Pods
Zero Double-Booking Lock
ACID Seat Transactions
Pod Metrics & Tracing
Step-by-Step Construction
1. Microservices Containerization
Each domain (Users, Ticketing, Payment) was built as an independent Docker container. Multi-stage Dockerfiles were utilized to minimize the attack surface and image size, ensuring rapid spin-ups.
2. Continuous Integration (CI)
A robust Jenkins declarative pipeline runs automatically on every Git commit. It executes unit tests, performs static code analysis, and scans container images using Trivy to prevent vulnerable dependencies from reaching production.
3. Kubernetes Orchestration
The containers are orchestrated using Kubernetes (AWS EKS). The cluster features auto-scaling policies to handle ticket-drop traffic spikes without manual intervention, routing traffic through an NGINX Ingress controller.
4. Observability & Monitoring
Prometheus actively scrapes metrics from the Kubernetes pods, feeding into Grafana dashboards. This provides real-time visibility into booking latencies, API error rates, and node resource utilization.