DeepCost
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GameVerse Studios

Multiplayer Gaming Platform

How a gaming company optimized global multiplayer infrastructure to achieve 71% cost savings while scaling from 50K to 200K concurrent players worldwide.

Key Results

71%
Cost Reduction
$3.2M
Annual Savings
4x
Player Scaling
4 months
Implementation

About GameVerse Studios

GameVerse Studios develops multiplayer online games with a focus on competitive esports titles. Their flagship battle royale game serves players across 6 continents with strict latency requirements for competitive gameplay.

Industry: Gaming & Esports
Founded: 2019
Team Size: 200+ employees
Infrastructure: Multi-cloud gaming platform

Gaming Platform Metrics

Daily Active Players2.5M+
Concurrent Players (Peak)200K+
Global Regions15
Game Server Instances5,000+

The Challenge

GameVerse faced the unique challenge of unpredictable player loads across multiple time zones, requiring massive infrastructure scaling during peak gaming hours while maintaining ultra-low latency for competitive gameplay.

Gaming-Specific Challenges

  • Unpredictable player load causing cost spikes
  • Global infrastructure scaling complexity
  • High compute costs for game server instances
  • Inefficient resource allocation across regions
  • Manual scaling causing player experience issues

Peak vs Off-Peak Costs

Off-peak hours$180K/month
Peak gaming hours$450K/month
Weekend tournaments$620K/month

The Solution

DeepCost implemented a gaming-specific optimization strategy with predictive auto-scaling, intelligent matchmaking optimization, and global load balancing to handle player surges while minimizing infrastructure costs.

Gaming Optimizations

  • Implemented predictive auto-scaling for game servers
  • Optimized global load balancing and region selection
  • Deployed spot instances for non-critical workloads
  • Set up intelligent matchmaking cost optimization
  • Automated regional traffic distribution
Player Prediction

ML algorithms predict player behavior to pre-scale infrastructure

Global Load Balancing

Intelligent routing based on player location and server costs

Spot Instance Gaming

Safe spot instance usage for training modes and casual gameplay

Implementation Timeline

1

Infrastructure Analysis

Week 1-3

Analyzed global gaming infrastructure patterns, peak loads, and cost optimization opportunities

2

Predictive Scaling Implementation

Week 4-8

Deployed ML-based auto-scaling for game servers with player behavior prediction algorithms

3

Global Optimization & Launch

Week 9-16

Rolled out region-specific optimizations and launched enhanced multiplayer experience

Detailed Results

Infrastructure Costs

Before
$450K/month
After
$131K/month
Improvement
71% reduction

Global Player Capacity

Before
50K concurrent
After
200K concurrent
Improvement
4x scaling

Server Response Time

Before
85ms avg latency
After
32ms avg latency
Improvement
62% faster

Peak Load Handling

Before
Manual scaling
After
Automated scaling
Improvement
Zero manual intervention

Gaming Infrastructure Optimization

Competitive Modes

Ultra-low latency requirements for ranked gameplay

Server TypeOn-demand premium
Latency Target< 30ms
Cost OptimizationRightsizing only

Casual Modes

Relaxed requirements for practice and casual play

Server TypeSpot instances
Latency Target< 80ms
Cost Savings75%

Training & AI

Bot training and AI opponent systems

Server TypePreemptible batch
Latency TargetBest effort
Cost Savings85%
💬
"DeepCost helped us scale our gaming infrastructure globally while cutting costs by 71%. Players now experience better performance at a fraction of the cost. It's been game-changing for our business model and player satisfaction."
Alex Martinez
Head of Infrastructure, GameVerse Studios

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