diff --git a/README.md b/README.md index 3bcae73..aef0cea 100644 --- a/README.md +++ b/README.md @@ -333,6 +333,61 @@ curl http://localhost:8080/health - ✅ **Cluster Agnostic**: Works on any OpenShift 4.x cluster - ✅ **Production Tested**: Deployed on OCP 4.15, 4.18, and 4.19 +### **Performance Analysis & Optimization Roadmap** + +**📊 Current Performance Analysis:** +- **Query Efficiency**: Currently using individual queries per workload (6 queries × N workloads) +- **Response Time**: 30-60 seconds for 10 workloads +- **Cache Strategy**: No caching implemented +- **Batch Processing**: Sequential workload processing + +**🎯 Performance Optimization Plan:** +- **Phase 1**: Aggregated Queries (10x performance improvement) +- **Phase 2**: Intelligent Caching (5x performance improvement) +- **Phase 3**: Batch Processing (3x performance improvement) +- **Phase 4**: Advanced Queries with MAX_OVER_TIME and percentiles + +**Expected Results**: 10-20x faster response times (from 30-60s to 3-6s) + +### **🔍 Performance Analysis: ORU Analyzer vs thanos-metrics-analyzer** + +**Our Current Approach:** +```python +# ✅ STRENGTHS: +# - Dynamic step calculation based on time range +# - Async queries with aiohttp +# - Individual workload precision +# - OpenShift-specific queries + +# ❌ WEAKNESSES: +# - 6 queries per workload (60 queries for 10 workloads) +# - No caching mechanism +# - Sequential processing +# - No batch optimization +``` + +**thanos-metrics-analyzer Approach:** +```python +# ✅ STRENGTHS: +# - MAX_OVER_TIME for peak usage analysis +# - Batch processing with cluster grouping +# - Aggregated queries for multiple workloads +# - Efficient data processing with pandas + +# ❌ WEAKNESSES: +# - Synchronous queries (prometheus_api_client) +# - Fixed resolution (10m step) +# - No intelligent caching +# - Less granular workload analysis +``` + +**🚀 Optimization Strategy:** +1. **Aggregated Queries**: Single query for all workloads instead of N×6 queries +2. **Intelligent Caching**: 5-minute TTL cache for repeated queries +3. **Batch Processing**: Process workloads in groups of 5 +4. **Advanced Queries**: Implement MAX_OVER_TIME and percentiles like thanos +5. **Async + Batch**: Combine our async approach with thanos batch processing + ## 📝 Roadmap ### 🎯 **PRAGMATIC ROADMAP - Resource Governance Focus**