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Cloud FinOps

FinOps-Driven Auto-Scaling Infrastructure

Built cost-optimized AWS ECS infrastructure using Spot Instances and dynamic CloudWatch-based scaling policies — achieving 40% infrastructure cost reduction.

Industry: FinTech / Cloud SaaS
Duration: 6 Weeks
Role: FinOps & Cloud Architecture Engineer
Status: Live in Production
40%
Infrastructure Cost Reduction
Spot
Instances for Cost Optimization
Dynamic
CloudWatch-Based Scaling
RDS
Managed Database
The Challenge

Where It Started

Built cost-optimized AWS ECS infrastructure using Spot Instances and dynamic CloudWatch-based scaling policies — achieving 40% infrastructure cost reduction.

Problems
  • $5,000/month AWS bill — all On-Demand EC2
  • Deployments took 3 days, fully manual via SSH
  • Frequent downtime during traffic spikes
  • No auto-scaling — hand-provisioned capacity
  • Zero monitoring — outages discovered by users
  • No rollback strategy — broken deploys meant downtime
Our Solution
  • Migrated to Kubernetes EKS with Spot Instances
  • CI/CD with Jenkins & ArgoCD — 20-minute deploys
  • HPA auto-scaling handles traffic spikes automatically
  • Spot + On-Demand mix — 40% cost reduction
  • Prometheus + Grafana full observability stack
  • Blue/green deploy strategy — instant rollback
Architecture

System Overview

Implementation

How We Delivered It

Week 1–2
Audit, Architecture & IaC Setup
Deep-dived AWS billing to identify waste. Architected target state. Built Terraform modules for VPC, EKS cluster, node groups, IAM roles, and RDS Multi-AZ — all infrastructure defined as code before a single resource was provisioned.
Week 2–3
Kubernetes Migration & Dockerization
Containerized all application services with optimized multi-stage Docker builds. Created Kubernetes manifests, Helm charts, HPA policies, and readiness/liveness probes. Migrated all workloads to EKS with zero-downtime blue/green strategy.
Week 3–4
CI/CD Pipeline & GitOps
Built end-to-end Jenkins pipeline with Trivy + Snyk security scanning gates. Implemented ArgoCD for GitOps — git repository became the single source of truth for all cluster state. Deployment time dropped from 3 days to under 20 minutes.
Week 4–5
FinOps Optimization
Replaced 100% On-Demand EC2 with an intelligent Spot + On-Demand mix. Implemented Cluster Autoscaler and HPA. Set up AWS Savings Plans and Reserved Instances for baseline capacity. CloudWatch cost anomaly detection added for bill shock prevention.
Week 5–6
Observability & Handover
Deployed Prometheus + Grafana with custom dashboards for infrastructure health, deployment status and cost tracking. PagerDuty on-call integration configured. Full documentation and team knowledge transfer completed. System handed over with 99.9% uptime SLA.
Tech Stack

Technologies Used

AWS ECSSpot InstancesCloudWatchRDSApplication Load BalancerAuto Scaling
Results

The Impact We Delivered

40%
Cloud Cost Reduction
From $5,000 to ~$3,000/month. Spot Instances + rightsizing eliminated $2,000 in monthly waste.
20 min
Deploy Time
From 3 days of manual SSH work to 20-minute fully automated CI/CD pipeline runs.
99.9%
Uptime Achieved
Self-healing Kubernetes pods and HPA auto-scaling eliminated the frequent traffic-spike downtime.
0
Manual Deployments
Every deploy is now a single git push — engineers focus on features, not server maintenance.
"Before eMergence, every deployment was a 3-day ordeal and our AWS bill kept climbing. Now our infrastructure scales itself, deploys happen in minutes, and we’re saving $2,000 every month. The ROI paid for the entire engagement in the first month."
— CTO, FinTech SaaS Platform (Client, Confidential)

Project Details

IndustryFinTech / Cloud SaaS
Duration6 Weeks
Team Size2 Engineers
RoleFinOps & Cloud Architecture Engineer
Monthly Savings$2,000 / ₹1.65L
StatusLive in Production

Services Used

AWS ECSSpot InstancesCloudWatchRDSFinOpsAuto Scaling
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Key Wins

  • Zero downtime during full migration
  • ROI achieved in month one
  • Security scanning in every deploy
  • Full Prometheus+Grafana observability
  • Team fully trained & documented

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