DeepCost
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EcoCommerce

Sustainable E-commerce Platform

How a sustainable e-commerce platform reduced infrastructure costs by 69% while handling 10x traffic spikes during peak shopping seasons without compromising customer experience.

Key Results

69%
Cost Reduction
$1.4M
Annual Savings
10x
Traffic Scaling
2 months
Implementation

About EcoCommerce

EcoCommerce is a leading sustainable e-commerce platform specializing in eco-friendly products. They experience massive seasonal traffic variations and require highly scalable infrastructure to handle everything from daily operations to Black Friday surges.

Industry: Sustainable E-commerce
Founded: 2017
Team Size: 300+ employees
Infrastructure: Global multi-cloud platform

E-commerce Platform Metrics

Monthly Orders2.5M+
Peak Concurrent Users5M+
Product Catalog Size500K+
Global Regions12

The Challenge

EcoCommerce faced extreme seasonal variations in traffic, with Black Friday generating 10x normal traffic and holiday seasons sustaining 5x traffic for weeks. Traditional scaling approaches were costly and often failed during critical peak moments.

E-commerce Challenges

  • Massive traffic spikes during holiday shopping seasons
  • Unpredictable demand patterns across product categories
  • High costs for peak capacity provisioning
  • Complex multi-region CDN and edge infrastructure
  • Manual scaling causing outages during flash sales

Seasonal Cost Variations

Regular months$85K/month
Holiday season$180K/month
Black Friday peaks$230K/month

The Solution

DeepCost implemented a comprehensive e-commerce optimization strategy with predictive scaling, intelligent CDN optimization, and advanced traffic management to handle extreme seasonal variations while minimizing costs.

E-commerce Optimizations

  • Implemented predictive auto-scaling for e-commerce workloads
  • Optimized CDN and edge computing infrastructure
  • Deployed smart inventory and recommendation system scaling
  • Set up advanced traffic routing and load balancing
  • Automated seasonal capacity planning and optimization
Predictive Scaling

ML models predict shopping patterns and pre-scale infrastructure

CDN Optimization

Dynamic content caching based on product popularity and geography

Flash Sale Ready

Instant burst capacity for surprise traffic spikes

Seasonal Optimization Strategies

Black Friday / Cyber Monday

10x traffic spike in 24 hours

Solution
Predictive pre-scaling with spot instance warm pools
Cost Savings
75%
Performance
99.9% uptime

Holiday Shopping Season

Sustained 5x traffic for 6 weeks

Solution
Intelligent inventory-based scaling and CDN optimization
Cost Savings
65%
Performance
0.8s avg page load

Flash Sales & Promotions

Instantaneous 20x traffic bursts

Solution
Event-driven auto-scaling with burst capacity
Cost Savings
80%
Performance
Zero downtime

Post-Holiday Returns

Different workload patterns

Solution
Dynamic resource reallocation and service optimization
Cost Savings
70%
Performance
Improved processing

Implementation Timeline

1

Traffic Pattern Analysis

Week 1-2

Deep analysis of seasonal traffic patterns, customer behavior, and infrastructure bottlenecks

2

Predictive Scaling Implementation

Week 3-6

Deployment of ML-based auto-scaling with e-commerce specific optimization algorithms

3

Holiday Season Launch

Week 7-8

Full rollout during Black Friday/Cyber Monday with real-time monitoring and optimization

Detailed Results

Infrastructure Costs

Before
$230K/month peak
After
$71K/month peak
Improvement
69% reduction

Peak Traffic Handling

Before
500K concurrent users
After
5M concurrent users
Improvement
10x capacity increase

Page Load Time

Before
3.2s average
After
0.8s average
Improvement
75% faster

Checkout Success Rate

Before
85% during peaks
After
99.2% during peaks
Improvement
14% improvement

Traffic Pattern Optimization

Regular Traffic

Daily operations with predictable patterns

Concurrent Users50K-100K
Scaling StrategyPredictive
Cost Optimization65%

Holiday Seasons

Sustained high traffic for weeks

Concurrent Users250K-500K
Scaling StrategyPre-scaled
Cost Savings60%

Flash Sales

Extreme instant traffic bursts

Concurrent Users1M-5M
Scaling StrategyBurst capacity
Cost Savings80%
💬
"DeepCost transformed our approach to handling seasonal traffic. We went from dreading Black Friday costs to confidently scaling for any traffic spike. The 69% cost reduction while improving performance has been game-changing for our sustainable business model."
Maria Rodriguez
VP of Engineering, EcoCommerce

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