HPL ELECTRIC & POWER

Limited | Gurugram, Haryana

Infrastructure Requirements

Phase 1: MDM Platform | Rev 3 | Appendix D

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Infrastructure Sizing for 100,000 Meters

This document provides detailed infrastructure specifications to support 100,000 smart meters with full MDM functionality. The architecture is designed to scale horizontally - the same specifications can support up to 500,000 meters with minimal adjustments.

01 Cloud Deployment (Recommended)

Cloud deployment is recommended for optimal scalability, reduced upfront costs, and automatic failover. All major Indian cloud regions are supported.

100K METERS Production Environment Specification

Component Specification Quantity Purpose
APPLICATION TIER
API Servers 4 vCPU, 16 GB RAM, 100 GB SSD 3 instances REST APIs, Business Logic
Web Servers 2 vCPU, 8 GB RAM, 50 GB SSD 2 instances Dashboard, Consumer Portal
VEE Engine 8 vCPU, 32 GB RAM, 100 GB SSD 2 instances Validation, Estimation, Editing
Worker Nodes 4 vCPU, 16 GB RAM, 50 GB SSD 3 instances Background Jobs, Reports
DATA TIER
PostgreSQL + TimescaleDB 8 vCPU, 64 GB RAM, 2 TB SSD (IOPS: 10,000+) Primary + Replica Time-series data, Master data
Redis Cache 4 vCPU, 16 GB RAM 2 instances (cluster) Caching, Session, Queues
Apache Kafka 4 vCPU, 16 GB RAM, 500 GB SSD 3 brokers Event streaming, HES data ingestion
SUPPORTING SERVICES
Load Balancer Application Load Balancer (managed) 1 Traffic distribution, SSL termination
Object Storage S3/Blob Storage 500 GB initial Reports, Backups, Logs
CDN CloudFront/Azure CDN 1 Static assets, Mobile app APIs

Estimated Monthly Cloud Costs (India Region)

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AWS (Mumbai)
₹1.8-2.2L/month

EC2 + RDS + ElastiCache + MSK

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Azure (Central India)
₹1.7-2.1L/month

VMs + PostgreSQL + Redis + Event Hubs

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GCP (Mumbai)
₹1.6-2.0L/month

GCE + Cloud SQL + Memorystore + Pub/Sub

✓ Auto-Scaling Included

The architecture includes Kubernetes-based auto-scaling. During peak hours (billing cycles, mass reads), additional instances spin up automatically. During off-peak, they scale down - optimizing costs. You only pay for what you use.

💡 Cost Estimate Assumptions

Above estimates are based on 1-year reserved instance pricing and optimized resource allocation. On-demand pricing would be approximately 40-50% higher. We recommend committing to reserved instances from deployment for maximum cost efficiency.

02 Scaling Guidelines

The MDM platform is designed for horizontal scaling. Here's how requirements change with meter count:

Meter Count Database Storage API Instances VEE Instances Est. Cloud Cost/Month
50,000 1 TB 2 1 ₹1.0-1.3L
100,000 THIS PROPOSAL 2 TB 3 2 ₹1.8-2.2L
250,000 5 TB 5 3 ₹3.5-4.5L
500,000 10 TB 8 5 ₹6.0-8.0L
1,000,000+ 20 TB+ 12+ 8+ ₹10-15L

📈 Data Volume Calculations (100K meters)

  • Interval Data: 100,000 meters x 96 readings/day x 365 days = ~3.5 billion records/year
  • Storage per year: ~400 GB (compressed) for interval data
  • Events/Alarms: ~50 GB/year
  • 5-year retention: ~2.5 TB total

03 Backup & Disaster Recovery

💾 Backup Strategy

  • Database: Continuous WAL archiving + Daily full backup
  • Retention: 30 days point-in-time recovery
  • Off-site: Cross-region replication (cloud) or tape backup (on-prem)
  • RPO: <15 minutes

🔄 Disaster Recovery

  • Cloud: Multi-AZ deployment, auto-failover
  • On-Prem: Standby DB with streaming replication
  • RTO: <4 hours
  • DR Drill: Quarterly testing recommended

🔒 Confidentiality Notice

This document is confidential and proprietary to Trinesis Technologies Pvt. Ltd. It is shared exclusively with HPL Electric & Power Limited for evaluation purposes only.

Ref: TRIN/PROP/HPL/2026-02-D  |  Classification: Confidential  |  Valid Until: March 15, 2026

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Trinesis Technologies

Confidential Proposal