/////ENGINEERING OUTCOMES
[ROI STORIES]
PRODUCTION ENGINEERING OUTCOMES
Enterprise Case Studies & Empirical ROI
Verifiable infrastructure cost reduction, automated blast-radius containment, and zero-downtime remediation across high-throughput production fleets.
ENTERPRISE PROOF LEDGER // PRODUCTION RECLAMATION DOSSIER
FLEET: 12,400+ MUTATIONS·RESIDENCY: AP-SOUTH-1·0 OUTAGE INCIDENTS
VERIFIED RECLAIMED CAPITAL₹14.8+ CroresAcross Indian & global enterprise fleets
MEAN TIME TO VALUE< 48 HoursFrom read-only connect to verified fix
CLOSED-LOOP MUTATIONS12,400+Zero production outage incidents
AVERAGE COST REDUCTION28.4%Conforms to 18–32% empirical benchmark
DOSSIER 01 // FINTECH CASE STUDY₹48.6L / yr RECLAIMED
Fintech Leader Saves ₹48L Annually
Discovered 34 idle EBS volumes, 12 orphaned Elastic IPs, and overprovisioned RDS Multi-AZ clusters in Mumbai ap-south-1.
INDUSTRY SEGMENTTier-1 Digital Payments & Merchant Checkout
PRODUCTION SCALE45M monthly card/UPI transactions
FLEET TOPOLOGY12 AWS Accounts (Multi-Account VPC Architecture)
DEPLOY REGIONAWS Mumbai (ap-south-1)
Monthly Spend Slashed32% Cloud Cost SavedReduced monthly AWS invoice by ₹4,05,000/mo
Senior SRE Time Reclaimed35 Hours / moEliminated manual billing spreadsheet audits
Transaction Latency Jitter0.00 msStrict P99 latency preserved during all changes
Audit Proof Sealed100% ImmutableSHA-256 tamper-evident forensic ledger record
RISK & CHALLENGE
High-velocity UPI and card processing platform with strict PCI-DSS Level 1 compliance requirements. SRE teams hesitated to touch idle volumes or scale down standby staging databases due to fear of triggering payment gateway latency spikes or audit non-compliance.
BASELINE RISK: Silent monthly bleed exceeding ₹4 Lakhs with zero operational visibility.
DETECTED VECTORS
[01]34 unattached gp2/gp3 EBS volumes orphaned by autoscaled worker nodes over 9 months.
[02]12 unassociated Elastic IPs incurring $0.005/hr continuous ghost penalties.
[03]4 oversized Multi-AZ RDS PostgreSQL staging clusters running at < 3% CPU utilization over weekends.
GOVERNED RESOLUTION
ArthaOps deployed agentlessly in 4 minutes using read-only STS AssumeRole. Plane 1 mapped dependencies, while Plane 2's formal logic solver proved zero blast radius before executing off-peak canary downscaling.
01Ingested multi-account CloudTrail, CloudWatch, and Cost Explorer telemetry agentlessly.
02Automated formal solver proved zero volume mounts or active snapshot dependencies.
03Scheduled automated snapshot preservation followed by volume detachment in maintenance window.
04Downscaled staging RDS Multi-AZ nodes to Single-AZ micro instances during off-peak windows.
RECORDED TELEMETRY
{
"entity_id": "vol-0a1b2c3d4e5f67890",
"action_type": "PURGE_UNATTACHED_EBS_VOLUME",
"account_id": "891377482910",
"region": "ap-south-1",
"pre_monthly_cost_inr": 405000,
"post_monthly_cost_inr": 0,
"net_reclaimed_inr": 405000,
"z3_blast_radius_verified": true,
"canary_error_rate_pct": 0
}ATTESTATION PROOF
SHA-256: 0x8f4a10e7b92c4d5e89137a2b0c1f3e5d7a9b8c0d1e2f3a4b5c6d7e8f9a0b1c2d