Automation
- Reduced manual intervention by ~4 hours per week.
- More reliable event-driven workflows.
Suvega Technologies
Logistics application with digital twinning
IoT-enabled logistics operations with near real-time data ingestion and observability-first operations.
Problem: manual operational workflows and limited visibility across logistics assets and process events.
Approach: connected IoT devices through AWS IoT Core, processed stream events in Lambda, and standardized CI/CD around Jenkins and Ansible.
Execution: established centralized logs (CloudWatch), metrics and alerts (Prometheus, Grafana), and robust deployment guardrails.
Operational improvement
Observability
- Centralized logs and performance views in one pipeline.
- Faster incident detection and clearer debugging paths.
Scalability
- EKS + autoscaling handled peak loads with stable latency.
- Deployment quality improved with stronger PR checks.