CCloudNexaCloud FinOps learning · cloudnexa.viswanext.com
Cloud FinOps · learning project

Financial decision intelligence for the modern cloud.

CloudNexa is my IIT Kanpur CTO-program project on cloud cost management. It shows how a team moves from “How much did we spend?” to “Who spent it, and was it worth it?” using a simple three-level Optimization Maturity Model (OMM).

Works with any public or private cloudAmortized cost viewZombie detectionTag governance
Optimization roadmap

The CloudNexa Maturity Model

Based on the common FinOps journey: crawl, walk, run. Each level builds on the one before it, moving an organisation from reactive billing to proactive, automated efficiency.

LEVEL 1 · CRAWL

Visibility

Build a single source of truth for multi-cloud spend by mapping scattered billing data into one view.

FOCUS: TRANSPARENCY
  • Cost allocation: map 80%+ of spend to business units.
  • Actual vs. amortized: spread one-time reservation and savings-plan payments.
  • Data hygiene: find untagged resources in every cloud account.

From “How much did we spend?” to “Who spent it?”

LEVEL 2 · WALK

Governance

Add accountability through policies, alerts and trend-based anomaly detection.

FOCUS: ACCOUNTABILITY
  • Budget guardrails: alerts on month-over-month spend jumps.
  • Unit economics: cost per customer or per transaction.
  • Zombie identification: spot idle load balancers and IPs.

A cultural shift toward cost-conscious engineering.

LEVEL 3 · RUN

Optimization

Use the Pulse advisory engine to automate savings actions and rightsizing.

FOCUS: AUTOMATION
  • Continuous optimization: AI-assisted instance rightsizing.
  • Auto-decommissioning: clean up Level 2 zombies.
  • Smart sourcing: spot capacity and automated reservations.

Cost becomes an architectural metric.

Advisory engine

The AI Pulse report

The advisory engine compares usage patterns with business policies and points to where the budget is leaking.

  • Amortization logicDistributes one-time reservation and savings-plan payments for true daily P&L accuracy.
  • Zombie detectionFlags unattached volumes and idle load balancers automatically.
  • Rightsizing adviceRecommends smaller instance sizes when utilisation stays low.
OMM view · amortized monthly costIllustrative
JanFebMarAprMayJun
Example data. Orange bars show months after rightsizing and zombie clean-up.
Operational governance

Four rules that keep costs honest

Zombie engine

Auto-stop VMs with CPU below 2% for 7 days.

Tag audit

Alert when resources miss the mandatory project tag.

Reservation health

Watch reservation coverage to keep discounts high.

Scheduling

“Lights-off” policies for non-production environments.

Explore

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