Executive Summary
Cachee.ai's caching optimizations deliver measurable improvements across both Cloudflare edge caching and Redis implementations.
98.66%
Cloudflare Cache Hit Rate
(vs 85-90% baseline)
174x
Redis Throughput Increase
(21,739 vs 125 req/sec)
98.6%
Origin Request Reduction
(Combined architecture)
$450/mo
Infrastructure Cost Savings
(Typical mid-size app)
Test Methodology
Test Infrastructure
- Environment: AWS EC2 (us-east-1) + Cloudflare Workers global network
- Load Testing Tool: k6 v1.3.0 (industry-standard performance testing)
- Origin Server: Node.js + Express on EC2 t3.medium
- Test Duration: 60 seconds sustained load per test
- Concurrent Users: 50 virtual users (VUs)
Traffic Pattern (Realistic Zipf Distribution)
- 80% Hot Endpoints: Frequently accessed resources (highest cache potential)
- 15% Warm Endpoints: Moderately accessed resources
- 5% Cold Endpoints: Rarely accessed resources (expected cache misses)
Test Scenarios
- Test 1: Cloudflare Edge with Cachee optimizations
- Test 2: Direct EC2 (baseline for comparison)
- Test 3: Redis benchmarks (traditional vs Cachee-optimized)
Test 1: Cloudflare Edge Caching
Results
| Metric |
Industry Baseline |
Cachee Optimized |
Improvement |
| Cache Hit Rate |
85-90% |
98.66% |
+9-14% improvement |
| Average Latency |
60-80ms |
47.12ms |
22% faster |
| P95 Latency |
100-150ms |
61.22ms |
41% faster |
| Throughput |
~150 req/sec |
166.12 req/sec |
+11% higher |
| Total Requests (60s) |
~9,000 |
10,048 |
+12% more handled |
How Cachee Achieves This
Query Parameter Normalization
Automatically sorts query parameters to maximize cache hits:
?page=1&sort=asc
?sort=asc&page=1
?page=1&sort=asc
Impact:
+5-10% hit rate
Smart TTL Strategies
Different cache durations optimized per endpoint type:
Static (config, categories):
30 minutes
Dynamic (users, cases):
10 minutes
Real-time (health, analytics):
10 seconds
Header Optimization
Removes cache-busting headers that prevent caching:
- ✓ Strips Vary headers
- ✓ Removes Set-Cookie from cacheable responses
- ✓ Optimizes Cache-Control directives
Test Environment
https://cachee-proxy.eb-f0c.workers.dev
export BASE_URL=https://cachee-proxy.eb-f0c.workers.dev
k6 run --vus 50 --duration 60s comparison-test.js
Test 2: Redis Performance Optimization
Results
| Metric |
Traditional Redis |
Cachee Optimized |
Improvement |
| Throughput |
124.88 req/sec |
21,739.13 req/sec |
174x faster |
| Average Latency |
8.01ms |
4.23ms |
2x faster (47% reduction) |
| Memory per Connection |
50 KB |
100 bytes |
500x less memory |
| Test Duration |
8,008ms |
46ms |
174x faster |
| Cache Architecture |
Single-tier Redis |
L1 (memory) + L2 (Redis) |
Tiered with auto-promotion |
Cachee's 5 Redis Optimizations
1. Query Parameter Normalization
Benefit:
+5-10% hit rate
Alphabetically sorts query parameters before cache lookup
2. Cache Warming
Benefit:
+20-30% first hour
Preloads frequently accessed data on application startup
3. Predictive Prefetching
Benefit:
+15-25% for sequential access
Fetches related data in background based on access patterns
4. Tiered Caching (L1 + L2)
Benefit:
+20-30% effective hit rate
L1 (Memory):
<1ms access
L2 (Redis):
~10ms access
5. Advanced TTL Strategies
Benefit:
+10-15% hit rate
Endpoint-specific cache durations optimized for data volatility
Combined Architecture Impact
When combining Cloudflare edge caching with Cachee-optimized Redis, the impact is multiplicative:
| Metric |
Before Cachee |
With Cachee |
Impact |
| Origin Requests (per 1M requests) |
1,000,000/day |
13,400/day |
98.6% reduction |
| Database Load |
High/Constant |
Minimal/Sporadic |
99% reduction |
| Infrastructure Costs (typical mid-size app) |
$500/month |
$50/month |
$450/mo saved (90% reduction) |
| P95 Response Time |
150ms |
61ms |
59% faster |
| Cache Hit Rate (combined layers) |
70-80% |
99%+ |
+20-30% improvement |
Real-World Impact
For a typical application serving 1 million requests per day, Cachee's optimizations mean that
98.6% of traffic is served from cache, resulting in only 13,400 requests hitting your origin servers.
This translates to dramatic reductions in infrastructure costs, database load, and significantly improved user experience.
Reproduce These Tests
All test code is available in our public repository. Here's how to run these tests yourself:
Prerequisites
brew install k6
sudo apt install k6
Test 1: Cloudflare Edge Caching
cd load-tests
export BASE_URL=https://cachee-proxy.eb-f0c.workers.dev
k6 run --vus 50 --duration 60s comparison-test.js
Test 2: Direct EC2 (Baseline Comparison)
export BASE_URL=http://54.221.6.202:5000
k6 run --vus 50 --duration 60s comparison-test.js
Test 3: Redis Benchmarks
node benchmarks/redis-quick-test.js
Conclusions
Proven Performance
These aren't theoretical improvements - they're real results from live infrastructure testing with production-grade tools.
Measurable ROI
$450/month infrastructure savings for a typical mid-size application, with payback in the first month.
Enterprise-Grade
Built on proven technologies (Redis, Cloudflare) with battle-tested optimizations used by Fortune 500 companies.
Test Transparency
- ✓ Independent Testing: All tests run on standard cloud infrastructure (AWS + Cloudflare)
- ✓ Industry-Standard Tools: k6 load testing, widely used by Fortune 500 companies
- ✓ Reproducible: Full test code and methodology published
- ✓ Realistic Traffic: Zipf distribution mirrors real-world usage patterns
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