Name of the Project/Application
Project Description
- A scalable cloud infrastructure was deployed for a real-time plant monitoring system to enhance operational efficiency, data accessibility, and system performance.
- The solution integrated DevOps automation to streamline deployment, monitoring, and system scalability, ensuring high availability and reduced downtime.
Business Problem Solved
- The existing system relied on on-premise infrastructure, leading to scalability and maintenance challenges.
- Manual deployment and monitoring processes resulted in delays and inefficiencies.
- Limited real-time insights on plant performance due to disconnected data sources.
- Security and compliance risks due to outdated infrastructure.
Technologies Used
- Cloud Platforms: AWS & Azure for scalable hosting and data processing.
- Containerization & Orchestration: Docker and Kubernetes for application management.
- CI/CD Pipelines: Jenkins, GitHub Actions for automated deployment.
- Infrastructure as Code (IaC): Terraform and Ansible for automated provisioning.
- Monitoring & Security: Prometheus, Grafana, and ELK Stack for real-time performance tracking.
Describe the Users, Volume, and Scale
Users :
- Plant operators, IT administrators, management teams.
Scale :
- Multiple plant locations integrated into a single cloud-based system.
- Processes terabytes of operational data daily.
- Supports real-time data ingestion and analysis from thousands of industrial sensors.
Impact in Numbers or Achievements
60%
Improvement in deployment speed with automated CI/CD pipelines.
40%
Reduction in infrastructure costs through optimized cloud resource allocation.
99.99%
Uptime achieved with resilient cloud architecture.
Real-time plant performance insights
Leading to 30% improved operational efficiency.