Executive Summary
The client is a US-based security and surveillance company offering an AI-driven, cloud-native Video Management System (VMS) delivered as a multi-tenant SaaS platform for enterprise customers. The platform supports real-time video streaming, AI-powered analytics, and secure identity management across commercial, industrial, and public safety environments. With rapid customer growth, the platform faced challenges related to scalability, uptime, deployment velocity, and operational complexity.
eInfochips modernized the client’s DevOps and cloud operations by implementing a Kubernetes-based microservices architecture on AWS. The solution leveraged Amazon EKS, Infrastructure as Code (IaC), and fully automated CI/CD pipelines to streamline application and infrastructure deployments. AWS-native disaster recovery, automated backups, and real-time monitoring were introduced to improve resilience and observability. A 24×7 CloudOps support model ensured continuous monitoring, rapid incident response, and stable operations.
Project Highlights
- Cloud-native, AI-powered Video Management System (VMS) delivered as a multi-tenant SaaS platform
- Kubernetes-based microservices architecture deployed on AWS using Amazon EKS
- Fully automated CI/CD pipelines for application and infrastructure deployments
- Infrastructure provisioning and environment consistency using Infrastructure as Code (IaC)
- AWS-native disaster recovery with automated backup and restore workflows
- Real-time monitoring, alerting, and end-to-end observability across the platform
- Auto-scaling and self-service deployment pipelines for rapid feature delivery
- Automated rollback mechanisms to minimize deployment risk and downtime
- 24×7 CloudOps support with L1, L2, and L3 operational coverage
