DeepTechLabs — Cloud Health Audit (Sample Report)

Client (Sample): AtomsLearning — Medical EdTech Startup (India)
Date: September 20, 2025
Sample Report

1. Executive Summary

We reviewed AtomsLearning's AWS infrastructure over a 7-day audit window. The platform was functional but over-provisioned in non-peak cycles and under-scaled during exam periods, leading to unnecessary cost and risk of downtime.

Key Findings (Snapshot):

  • Current monthly AWS spend: US$5,200
  • Estimated spend after optimizations: US$1,390
  • Projected savings: ~US$3,810 (73%)
  • Downtime events during exam nights: Reduced from frequent disruptions → Zero downtime
  • Deployment time: Reduced from ~60–65 mins → 10–12 mins after optimized scaling

Impact Overview

Cost Reduction73%
Monthly Savings$3,810
Deploy Speed5.4x
Uptime Target99.8%

2. Current State Analysis

Infrastructure

  • AWS EC2 instances running multiple microservices (MockExam, Auth, Payment).
  • Manual scaling during peak exam traffic.
  • No reserved/spot strategy for cost control.
  • Limited CI/CD automation → long deployments.

Cost Profile (Top drivers last 3 months)

EC2 Compute~65%
RDS~20%
EBS/Storage~8%
Misc (NAT, Data Transfer, Support)~7%

Risks Identified

Compute over-provisioned

Outside peak exam cycles.

Lack of elasticity

Under peak load → service disruption risk.

Idle EBS volumes

Oversized instances inflating monthly bills.

Limited governance

Hard to track owner and usage per resource.

3. Top 3 Immediate Recommendations

1

Exam Season Scaling with Amazon EKS

Deploy MockExam microservices to Amazon EKS with Horizontal Pod Autoscaling (HPA).

Benefits: Elastic scaling during unpredictable exam traffic, improved uptime.
Est. Impact: ~US$1,500 cost avoidance per exam cycle.
Effort: Medium (1 week).
2

Baseline Cost Reduction with EC2 + K3s on Graviton2

Run baseline workloads on K3s cluster deployed over ARM-based Graviton2 EC2 instances. Use Reserved + Spot Instances for further savings.

Benefits: ~60% cost reduction during non-peak cycles.
Est. Impact: US$2,000–2,500 monthly savings.
Effort: Low–Medium (1 week).
3

Rightsizing & Storage Optimization

Downsize over-allocated instances, clean idle EBS volumes, enforce storage lifecycle policies.

Benefits: Immediate cost drop.
Est. Impact: US$500–800/month savings.
Effort: Low (2–3 days).

4. Technology Stack (Recommended)

Amazon EKS with HPA for exam traffic.
AWS EC2 + K3s on ARM Graviton2 for baseline workloads.
CloudWatch dashboards for CPU/memory/network metrics.
Terraform / Infrastructure as Code for deployments.
CI/CD pipelines integrated with GitHub Actions for automated rollouts.
Tagging & FinOps governance for cost accountability.

5. Next Steps (Phase 2 — Implementation Sprint)

Scope:

  • Implement top 3 quick wins (EKS migration, K3s baseline cluster, rightsizing/storage cleanup).
  • Stage changes in non-prod, test with canary releases, and roll out to production.
  • Deliver updated runbooks, rollback plan, and dashboards.
  • Provide 2-week operations handover to ensure stability.

Implementation Sprint

Duration: 2 weeks
Price: US$1,200
Payment Terms: 50% upfront, 50% on delivery

6. Deliverables

Audit Report PDF (this document).
Loom Video Walkthrough (~10 mins).
Terraform/Script bundle for automation.
CloudWatch dashboards + tagging policies.
Runbook & rollback plan for your team.

7. Expected Business Outcomes

73%
Cost: reduction (from $5,200 → $1,390).
Zero
Resilience: downtime during exam traffic.
10min
Speed: Deployment cut from 60 mins → 10 mins.
100%
Focus: Engineering team can prioritize product innovation over firefighting.

Final Note

This sample demonstrates how DeepTechLabs identifies cloud waste, scaling risks, and fragile integrations — and translates them into actionable fixes with measurable business outcomes.

Next Step: Approve the Implementation Sprint

Realize these savings and stability gains in 2 weeks.

Book 30-min Discussion

This is a sample report demonstrating our audit methodology and deliverable quality.