foxhunt/docs/WAVE77_AGENT8_LOAD_TEST_RESULTS.md

# WAVE 77 AGENT 8: Load Testing Results & Architecture Gap Analysis

**Agent**: Agent 8 - Load Testing Execution
**Date**: 2025-10-03
**Status**: ARCHITECTURE GAP IDENTIFIED - Tooling Required

---

## Executive Summary

**FINDING**: Load testing could not be executed due to **architecture mismatch** between available tooling and actual service implementation.

**ISSUE**:
- Services expose **pure gRPC APIs** (ports 50051, 50053)
- Existing load test framework targets **HTTP REST APIs**
- No gRPC load testing tools available (`ghz` not installed, `go` not available)
- API Gateway (Agent 6) still building - HTTP/gRPC translation layer not ready

**RECOMMENDATION**: Implement gRPC-native load testing infrastructure before production deployment.

---

## Current Service Architecture

### Services Running
```bash
✅ trading_service:
   - gRPC: localhost:50051
   - Health: localhost:8080/health (HTTP only)

✅ ml_training_service:
   - gRPC: localhost:50053

⏳ api_gateway:
   - Building (Agent 6 in progress)
   - Will provide HTTP→gRPC translation
```

### Protocol Analysis
```
┌─────────────────────────────────────────────────────┐
│ CURRENT STATE                                       │
├─────────────────────────────────────────────────────┤
│                                                     │
│  Load Test Framework                               │
│  (HTTP-based)                                      │
│       │                                            │
│       │ POST /trading/orders                       │
│       │ GET /trading/positions                     │
│       ▼                                            │
│   ❌ No HTTP API available                         │
│                                                     │
│  Services Expose:                                  │
│    ✓ gRPC (50051, 50053)                          │
│    ✓ Health HTTP (8080) - limited                 │
│    ✗ REST API endpoints                           │
│                                                     │
└─────────────────────────────────────────────────────┘
```

---

## Existing Load Test Framework Analysis

### Location
`/home/jgrusewski/Work/foxhunt/services/api_gateway/load_tests/`

### Framework Capabilities
```rust
// Cargo.toml dependencies
- reqwest: HTTP client
- tonic: gRPC support (AVAILABLE but unused)
- hdrhistogram: Latency metrics
- prometheus: Metrics collection
- sysinfo: System monitoring
```

### Test Scenarios Implemented
1. **Normal Load**: 1K clients, 60s duration
2. **Spike Load**: 0→10K ramp-up
3. **Sustained Load**: 100 clients, 24h
4. **Stress Test**: Incremental until failure

### Current Implementation Issues
```rust
// File: authenticated_client.rs (lines 54-67)
pub async fn submit_order(&self, client_id: usize, order: TestOrder) -> Result<RequestMetric> {
    let start = Instant::now();

    let result = self.client
        .post(format!("{}/trading/orders", self.gateway_url))  // ❌ HTTP endpoint
        .header("Authorization", format!("Bearer {}", self.jwt_token))
        .json(&order)
        .send()
        .await;
    // ...
}

// ISSUE: Expects HTTP REST API, but services only expose gRPC
```

---

## Production gRPC Load Testing Strategy

### Option 1: ghz (Recommended for Quick Testing)

**Tool**: [github.com/bojand/ghz](https://github.com/bojand/ghz)

**Installation**:
```bash
# Requires Go
go install github.com/bojand/ghz/cmd/ghz@latest
```

**Usage**:
```bash
# Normal Load Test (1K connections, 60s)
ghz --insecure \
    --proto=tli/proto/trading.proto \
    --call=trading.TradingService/GetPositions \
    --connections=1000 \
    --concurrency=1000 \
    --duration=60s \
    --rps=0 \
    --data='{"account_id":"test-account"}' \
    --metadata='{"authorization":"Bearer TOKEN"}' \
    localhost:50051

# Spike Test (10K connections)
ghz --insecure \
    --proto=tli/proto/trading.proto \
    --call=trading.TradingService/GetPositions \
    --connections=10000 \
    --concurrency=10000 \
    --duration=30s \
    --rps=0 \
    localhost:50051

# Expected Output:
Summary:
  Count:        120000
  Total:        60.05 s
  Slowest:      15.2 ms
  Fastest:      0.8 ms
  Average:      3.2 ms
  Requests/sec: 2000.0

Response time histogram:
  0.8 [1]     |
  2.3 [45000] |∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎
  3.8 [50000] |∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎
  5.3 [20000] |∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎
  ...

Latency distribution:
  10% in 1.5 ms
  25% in 2.1 ms
  50% in 2.8 ms
  75% in 3.9 ms
  90% in 5.2 ms
  95% in 7.1 ms
  99% in 12.3 ms
```

**Pros**:
- Production-ready gRPC load testing
- Detailed latency histograms
- Native proto support
- Connection pooling
- Concurrent request control

**Cons**:
- Requires Go installation
- Not integrated with existing framework

---

### Option 2: Enhance Existing Framework (Recommended for Integration)

**Approach**: Add gRPC client support to existing Rust load test framework.

**Implementation**:
```rust
// File: services/api_gateway/load_tests/src/clients/grpc_client.rs (NEW)

use tonic::transport::Channel;
use tonic::metadata::MetadataValue;
use std::time::Instant;
use anyhow::Result;

// Import generated proto code
use trading_proto::trading_service_client::TradingServiceClient;
use trading_proto::{GetPositionsRequest, SubmitOrderRequest};

pub struct GrpcAuthenticatedClient {
    trading_client: TradingServiceClient<Channel>,
    jwt_token: String,
}

impl GrpcAuthenticatedClient {
    pub async fn new(grpc_url: String, jwt_token: String) -> Result<Self> {
        let channel = Channel::from_shared(grpc_url)?
            .connect()
            .await?;

        let trading_client = TradingServiceClient::new(channel);

        Ok(Self {
            trading_client,
            jwt_token,
        })
    }

    pub async fn get_positions(&mut self, client_id: usize) -> Result<RequestMetric> {
        let start = Instant::now();

        let mut request = tonic::Request::new(GetPositionsRequest {
            account_id: Some(format!("test-account-{}", client_id)),
            symbol: None,
        });

        // Add JWT to metadata
        let token: MetadataValue<_> = format!("Bearer {}", self.jwt_token)
            .parse()?;
        request.metadata_mut().insert("authorization", token);

        let result = self.trading_client.get_positions(request).await;
        let latency = start.elapsed();

        let status = match result {
            Ok(_) => RequestStatus::Success,
            Err(e) => {
                if e.code() == tonic::Code::Unavailable {
                    RequestStatus::CircuitBreakerOpen
                } else if e.code() == tonic::Code::ResourceExhausted {
                    RequestStatus::RateLimited
                } else {
                    RequestStatus::Error
                }
            }
        };

        Ok(RequestMetric {
            timestamp: chrono::Utc::now(),
            client_id,
            service: ServiceType::Trading,
            latency,
            status,
            error_type: None,
        })
    }

    pub async fn submit_order(&mut self, client_id: usize, order: TestOrder) -> Result<RequestMetric> {
        let start = Instant::now();

        let mut request = tonic::Request::new(SubmitOrderRequest {
            symbol: order.symbol,
            side: match order.side.as_str() {
                "buy" => 1,  // OrderSide::Buy
                "sell" => 2, // OrderSide::Sell
                _ => 0,
            },
            quantity: order.quantity,
            order_type: match order.order_type.as_str() {
                "market" => 1,  // OrderType::Market
                "limit" => 2,   // OrderType::Limit
                _ => 0,
            },
            price: None,
            stop_price: None,
            account_id: format!("test-account-{}", client_id),
            metadata: std::collections::HashMap::new(),
        });

        let token: MetadataValue<_> = format!("Bearer {}", self.jwt_token).parse()?;
        request.metadata_mut().insert("authorization", token);

        let result = self.trading_client.submit_order(request).await;
        let latency = start.elapsed();

        let status = match result {
            Ok(_) => RequestStatus::Success,
            Err(e) => {
                if e.code() == tonic::Code::Unavailable {
                    RequestStatus::CircuitBreakerOpen
                } else if e.code() == tonic::Code::ResourceExhausted {
                    RequestStatus::RateLimited
                } else {
                    RequestStatus::Error
                }
            }
        };

        Ok(RequestMetric {
            timestamp: chrono::Utc::now(),
            client_id,
            service: ServiceType::Trading,
            latency,
            status,
            error_type: None,
        })
    }
}
```

**Required Changes**:
1. Add proto compilation to `build.rs`
2. Create `grpc_client.rs` module
3. Update `normal_load.rs` to support both HTTP and gRPC
4. Add CLI flag: `--protocol [http|grpc]`

**Pros**:
- Integrated with existing metrics/reporting
- Reuses test scenarios
- No external dependencies
- Consistent reporting format

**Cons**:
- Requires code changes
- Proto compilation setup
- More development effort

---

### Option 3: Custom Rust gRPC Load Tester (NEW Project)

**Approach**: Create standalone gRPC load testing tool.

**Project Structure**:
```
services/grpc_load_tester/
├── Cargo.toml
├── build.rs              # Proto compilation
├── proto/                # Symlink to tli/proto/
└── src/
    ├── main.rs           # CLI and orchestration
    ├── client.rs         # gRPC client pool
    ├── metrics.rs        # HDR histogram, percentiles
    └── scenarios.rs      # Load patterns
```

**Cargo.toml**:
```toml
[package]
name = "grpc_load_tester"
version = "0.1.0"
edition = "2021"

[dependencies]
tokio = { version = "1.42", features = ["full"] }
tonic = { version = "0.14", features = ["transport"] }
prost = "0.13"
hdrhistogram = "7.5"
clap = { version = "4.5", features = ["derive"] }
anyhow = "1.0"
tracing = "0.1"
tracing-subscriber = "0.3"

[build-dependencies]
tonic-build = "0.14"
```

**Usage**:
```bash
# Build
cargo build --release -p grpc_load_tester

# Run normal load
./target/release/grpc_load_tester normal \
    --endpoint localhost:50051 \
    --clients 1000 \
    --duration 60

# Run spike load
./target/release/grpc_load_tester spike \
    --endpoint localhost:50051 \
    --target-clients 10000 \
    --ramp-up 10 \
    --sustain 60
```

**Pros**:
- Clean separation of concerns
- Focused on gRPC load testing
- Reusable across projects
- Fast development

**Cons**:
- Duplicate effort (metrics, reporting)
- New codebase to maintain

---

## Expected Performance Targets

### Based on Wave 76 Auth Pipeline Validation

**Authentication Pipeline** (Wave 76 Agent 11):
- P50: 1.8μs
- P95: 2.5μs
- P99: **3.1μs** ✅
- Throughput: >100K req/s

**Production Targets for Full Request Cycle**:
```
Component Breakdown:
├─ Auth Pipeline:        3μs    (validated)
├─ gRPC Overhead:       2μs    (estimated)
├─ Service Logic:       3μs    (estimated)
├─ Database Query:      1μs    (HFT-optimized pool)
└─ Serialization:       1μs    (estimated)
                       ─────
Total Expected:        10μs

Target Metrics:
├─ P50 Latency:       <5μs
├─ P95 Latency:       <8μs
├─ P99 Latency:       <10μs
├─ Throughput:        >100K req/s
└─ Error Rate:        <0.1%
```

### Load Test Scenarios

#### Scenario 1: Normal Load
```yaml
Clients: 1,000
Duration: 60s
Expected:
  - P99 Latency: <10μs
  - Throughput: 100K-200K req/s
  - Error Rate: <0.1%
  - CPU Usage: <70%
  - Memory: Stable
```

#### Scenario 2: Spike Load
```yaml
Ramp: 0→10,000 clients in 10s
Sustain: 60s at 10K clients
Expected:
  - Initial P99: <10μs
  - Spike P99: <20μs (degradation acceptable)
  - Recovery: <5s back to <10μs
  - Error Rate: <1% during spike
  - No memory leaks
```

---

## Fallback: HTTP Load Test via API Gateway

**Current State**: API Gateway building (Agent 6)

**When Available**:
```bash
cd /home/jgrusewski/Work/foxhunt

# Wait for API Gateway to complete
# Expected: localhost:50050 (HTTP→gRPC proxy)

# Run existing HTTP load tests
./target/release/load_test_runner normal \
    --gateway-url http://localhost:50050 \
    --num-clients 1000 \
    --duration-secs 60

# Generate report
ls -lh *_load_report.html
```

**Limitations**:
- Tests HTTP→gRPC translation overhead
- Doesn't measure pure gRPC performance
- Additional latency from HTTP conversion

**Expected Additional Overhead**:
```
Pure gRPC:           10μs P99
HTTP→gRPC Gateway:  +3-5μs
Total:              13-15μs P99
```

---

## Immediate Action Items

### Priority 1: Install gRPC Load Testing Tools
```bash
# Option A: Install ghz (if Go available)
go install github.com/bojand/ghz/cmd/ghz@latest

# Option B: Use Docker
docker run --rm -v $(pwd)/tli/proto:/proto \
    ghcr.io/bojand/ghz:latest \
    --insecure \
    --proto=/proto/trading.proto \
    --call=trading.TradingService/GetPositions \
    --connections=1000 \
    --duration=60s \
    --data='{"account_id":"test"}' \
    host.docker.internal:50051
```

### Priority 2: Enhance Load Test Framework
```bash
# Add gRPC support to existing framework
cd /home/jgrusewski/Work/foxhunt/services/api_gateway/load_tests

# Update Cargo.toml
# Add build.rs for proto compilation
# Create grpc_client.rs
# Update scenarios to support --protocol flag
```

### Priority 3: Wait for API Gateway
```bash
# Continue with HTTP-based testing when ready
# Less ideal but validates full stack
```

---

## Architecture Recommendation

**For Production Deployment**:

```
┌─────────────────────────────────────────────────────────────┐
│ RECOMMENDED LOAD TESTING ARCHITECTURE                       │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  ┌───────────────┐                                         │
│  │  ghz (Quick)  │─────→ gRPC Services (Pure Performance) │
│  └───────────────┘                                         │
│                                                             │
│  ┌───────────────────────┐                                 │
│  │ Enhanced Load Tester  │                                 │
│  │  (HTTP + gRPC)        │───┬→ API Gateway (HTTP)         │
│  └───────────────────────┘   │                             │
│                               └→ gRPC Services (Direct)    │
│                                                             │
│  Use Cases:                                                │
│  ├─ ghz: Quick performance validation                      │
│  ├─ Enhanced: CI/CD integration, detailed reports          │
│  └─ Both: Comprehensive production readiness testing       │
│                                                             │
└─────────────────────────────────────────────────────────────┘
```

---

## Conclusion

### Current Status
❌ **Load testing NOT executed** - architecture mismatch

### Root Cause
Services expose pure gRPC, existing framework targets HTTP REST

### Impact
- Cannot validate P99 <10μs target
- Cannot validate 100K req/s throughput
- Cannot stress test before production
- Performance characteristics unknown

### Resolution Path
1. **Immediate** (1 day): Install ghz, run basic gRPC load tests
2. **Short-term** (1 week): Enhance existing framework with gRPC support
3. **Long-term**: Integrate into CI/CD pipeline

### Risk Assessment
**MEDIUM RISK**: Production deployment without load testing validation

**Mitigation**:
- Wave 76 validated auth pipeline at 3μs P99
- Architecture designed for <10μs target
- Can roll back if performance issues observed
- Recommend staged rollout with monitoring

---

## Next Steps for Agent 9+

1. **Install ghz** OR **wait for API Gateway**
2. Execute baseline load tests
3. Collect P50/P95/P99 latencies
4. Validate against <10μs P99 target
5. Update this document with actual results

---

**Document Status**: ARCHITECTURE GAP IDENTIFIED
**Recommendation**: DO NOT PROCEED TO PRODUCTION until load testing validation complete
**Priority**: HIGH - Required before Wave 77 completion