KDMC Smart Governance
Maintenance & Cloud Modernisation
A cloud-first, hybrid-resilient platform engineered to serve 5,000 concurrent users — built on what KDMC already owns.
Prepared for the Commissioner, Kalyan-Dombivli Municipal Corporation · Confidential
Three pillars of the maintenance mandate
24×7 operations
End-to-end application, infrastructure, database and security maintenance with predictable response and resolution SLAs.
Reverse the DR posture
Move primary workloads to MeitY-empanelled cloud. Repurpose the existing on-prem stack as a hot Disaster Recovery site.
5,000 concurrent users
Capacity engineered for 5,000 simultaneous users — 3.3× of today's ~1,500 — with auto-scaling for civic peaks.
Current architecture
8-server on-prem stack, with cloud used only as Disaster Recovery.
| # | Server | Configuration |
|---|---|---|
| 1 | Web 1 | 8 vCPU / 16 GB |
| 2 | Web 2 | 12 vCPU / 52 GB |
| 3 | App 1 | 16 vCPU / 64 GB |
| 4 | App 2 | 24 vCPU / 60 GB |
| 5 | DB 1 | 16 vCPU / 88 GB |
| 6 | DB 2 | 12 vCPU / 75 GB |
| 7 | DB 3 | 8 vCPU / 48 GB |
| 8 | UAT | 8 vCPU / 42 GB |
Aggregate: 104 vCPU · 445 GB RAM · ~1,500 concurrent users
Active / Primary
8 servers · ~1,500 users · KDMC datacentre
Standby / DR only
Used only on failover · capacity idle
Gaps current civic demand is surfacing
Capacity ceiling at ~1,500 concurrent users
Peak civic load — tax cycles, utility windows, application drives — approaches or exceeds this ceiling, causing slow loads and login throttling.
Cloud-as-DR underuses cloud elasticity
Auto-scaling and managed services sit unused, while on-prem peak hardware stays idle most of the year — carrying full cost.
Failover RTO/RPO bound by on-prem provisioning
Activating DR needs manual cutover and warm-up. Recovery objectives are higher than what cloud-managed services achieve.
Reverse the posture
Cloud becomes the active primary; the existing on-prem stack becomes a hot DR.
MeitY-empanelled Cloud — Mumbai region
- Auto-scaling web & app tiers
- Managed RDBMS with read replicas
- Object storage + CDN at edge
- Managed containers / Kubernetes
- WAF + DDoS protection
KDMC datacentre — existing 8 servers
- Existing 8-server stack retained
- Continuous reverse replication
- Hot standby — ready to take over
- Data-residency anchor in India
- No additional hardware spend
Why reverse — four benefits
Elastic scale on demand
Auto-scale for civic peaks; pay for capacity only when it's used.
Existing investment retained
All 8 servers keep serving as a hot DR. No sunk cost, no new hardware spend.
Data residency preserved
Primary in Mumbai cloud (India) + full DR in KDMC premises — two-region resilience inside India.
Predictable Opex
Shift from hardware-refresh Capex to monthly Opex that scales with civic load.
1,500 → 5,000 concurrent users
| Tier | Current (on-prem) | Proposed (cloud) | Scaling |
|---|---|---|---|
| Web | 20 vCPU / 68 GB | 4 × 8 vCPU / 16 GB | Autoscale 4 → 12 |
| App | 40 vCPU / 124 GB | 4 × 16 vCPU / 32 GB | Autoscale 4 → 16 |
| DB | 36 vCPU / 211 GB | 32 vCPU / 128 GB + 2 RR | Vertical + replicas |
| UAT | 8 vCPU / 42 GB | 8 vCPU / 32 GB | Static |
| Cache | — | Managed cache / 16 GB | Managed |
Cloud-side figures are the baseline; auto-scaling adds nodes within minutes during peaks.
Phased migration — ~16 weeks
Assessment & Cloud Landing Zone
Workload audit, dependency mapping, account setup, network/IAM landing zone, security baseline.
Non-Prod Migration & Validation
Migrate UAT/dev, validate baselines, load-test the 5,000-user envelope.
Production Mirror & DR Reversal Prep
Stand up cloud production replica, reverse replication, rehearse cutover with rollback.
Production Cutover & Steady-State
Maintenance-window cutover; cloud primary, on-prem hot DR; 4-week hypercare then handover.
Maintenance scope & SLAs
- ⚙️Application. Bug fixes, upgrades, patch & config management.
- 🕸️Infrastructure. Cloud + on-prem DR, network, load balancers, backups.
- 🗃️Database. Tuning, indexing, restores, capacity planning.
- 🛡️Security. Patch SLAs, VAPT remediation, IAM reviews, log audits.
| Severity | Response | Resolution |
|---|---|---|
| S1 — Outage | 15 min | 4 hours |
| S2 — Major | 30 min | 8 hours |
| S3 — Minor | 2 hours | 2 business days |
| S4 — Cosmetic | 1 day | Next release |
Security, compliance & data residency
Data residency in India
Primary in Mumbai region; DR in KDMC's own datacentre. No data leaves India.
Encryption everywhere
AES-256 at rest, TLS 1.2+ in transit, KMS-managed key rotation.
Defence in depth
WAF + DDoS, private subnets, IAM least-privilege, annual VAPT.
Audit trail
Centralised logging, 1-year retention, immutable logs for CAG audits.
Backup & recovery
Point-in-time recovery, daily snapshots, quarterly DR drills.
Standards alignment
ISO 27001 controls, CERT-In reporting, MeitY-empanelled cloud.
A focused, modern-stack team
Modern cloud-native stack
Kubernetes, managed services, IaC, observability — the toolset KDMC's next decade should run on.
Dedicated, named team
One team owns KDMC end-to-end — the same engineers from cutover through steady-state.
Cost-efficient delivery
Lean model passes savings to KDMC — direct value, not overhead-heavy pricing.
Agility & responsiveness
Short change cycles, weekly releases, fast bug-fix turnaround.
A short-cycle path to a defensible decision
Discovery Workshop
Two half-days with SKDCL IT — current architecture, peak-load history, integration map.
Detailed Migration Plan
Sizing model, vendor selection, timeline, RTO/RPO commitments, named team. Within 3 weeks.
Commercial Proposal
Transparent maintenance + one-time migration fee, broken down by phase.
contact@techyugai.com
Beyond Maintenance
Improvements for KDMC Smart Governance
AI capabilities, missing modules, and citizen-experience uplift — delivered as quick wins on a reusable platform.
Prepared for the Commissioner, Kalyan-Dombivli Municipal Corporation · Confidential
Three pillars — separate scope, separate quote
Missing modules
Deliver modules from the original Smart Governance scope that remain unfulfilled. List confirmed with SKDCL.
AI across services
AI in citizen services (chatbot, RAG), operations (routing, anomaly detection) and analytics.
Two-track delivery
30/60/90-day visible wins on a foundational AI platform so future modules plug in fast.
Missing modules (indicative — confirm with SKDCL)
Unified Citizen Portal
Single sign-on across all KDMC services.
Property Tax e-Payments
Online assessment, payment and receipts.
Grievance Lifecycle
Submission → routing → closure with tracking.
GIS-linked Asset Map
Streetlights, drains, roads with state tags.
Permits & Approvals
Building plan, trade licence, hawker permits.
Environmental Modules
Tree census, waste tracking, air-quality.
Six areas of measurable civic value
Citizen AI Assistant
24×7 multilingual chatbot for queries, status and routing.
Document Intelligence
RAG over KDMC notifications, GRs and by-laws.
Smart Grievance Routing
NLP classification + auto-assignment to the right ward.
Anomaly Detection
Outlier flagging in tax, billing and metering data.
Vision Inspections
Detect potholes, garbage, hoardings from field photos.
Predictive Maintenance
Forecast asset failures before complaints arrive.
Citizen AI Assistant
A multilingual assistant on web, mobile and WhatsApp that answers policy queries, guides applications step-by-step, checks status, and raises grievances — grounded in KDMC's own GRs and by-laws via Retrieval-Augmented Generation (RAG).
Operational AI
Smart Grievance Routing
Classify & route every grievance automatically.
- NLP classifier on text + photo
- Auto-tag department, ward, urgency
- Duplicate detection
- Escalation rules in routing
Tax & Billing Anomaly Detection
Flag outliers — leak signals, fraud, mis-assessments.
- Time-series anomaly models
- Cross-reference assessment data
- Risk-scored cases for inspection
- Audit trail per flagged record
Field & Asset AI
Vision-Based Inspections
Photograph an issue; AI classifies and tickets it.
- Detects potholes, garbage, hoardings, broken lights
- Auto-GPS from photo metadata
- Confidence scoring, human-in-the-loop
- Photo evidence in audit log
Predictive Maintenance
Forecast failures before complaints arrive.
- Telemetry + ticket history as features
- Per-asset failure probability
- Auto-prioritised maintenance schedule
- Fix high-risk assets first
A reusable AI platform
Every new use case plugs in without re-engineering. No model-layer lock-in.
Data, privacy & responsible AI
KDMC owns the data
All data stays in KDMC's tenancy; not used to train third-party models without consent.
PII redaction by default
Personal data auto-redacted in prompts and logs unless explicitly needed.
Human in the loop
AI proposes; humans approve high-stakes decisions. Confidence scores exposed.
Auditability
Every decision logged with model, inputs, output, timestamp — reviewable for audit.
Bias monitoring
Periodic fairness audits across ward, language, demographics.
Explainability
Each classification and recommendation carries a human-readable rationale.
Quick wins early, depth in horizon two
- Module gap analysis signed off
- AI platform landing zone deployed
- Citizen AI Assistant pilot (EN + Marathi)
- Grievance classifier v1 (shadow mode)
- Citizen AI Assistant live (web/mobile)
- Smart Grievance Routing live
- First missing module released
- Public KPI dashboard
- Anomaly detection on tax/billing
- Vision inspections (one ward)
- Predictive maintenance pilot
- Remaining confirmed modules
Built for the innovation track
AI is our core competence
Built around modern LLM, RAG and ML toolchains — not a bolt-on capability.
Speed-to-pilot
Concept to working pilot in 4–6 weeks, not 6–9 months.
Embedded engineering
Our team sits with SKDCL during build — faster iteration, better fit.
Modular, open architecture
No model-layer lock-in; KDMC keeps the freedom to switch providers.
Scoped, piloted and measured
Discovery & Gap Map
Confirm missing modules; prioritise AI use cases by impact and feasibility.
30-Day Pilot Plan
Two AI use cases scoped for a 30-day pilot with agreed success metrics.
Phased Proposal
Quoted by phase — pilot, expansion, steady-state — independent of maintenance.
contact@techyugai.com