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feat(analysis): Add Elastic Logs Analysis Playbook with comprehensive reports #4

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102 changes: 102 additions & 0 deletions analysis/analysis_summary.md
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# Elastic Logs Analysis Summary Report

Generated: 2025-12-01 19:35:08 UTC

## Overview

This summary report consolidates findings from three comprehensive analyses performed on the system logs:

1. Error Pattern Analysis
2. Security Issue Detection
3. Performance Anomaly Analysis

## Key Metrics at a Glance

| Category | Metric | Value |
|----------|--------|-------|
| **Logs** | Total Entries Analyzed | 94 |
| **Errors** | Error Count | 6 |
| **Errors** | Error Rate | 6.38% |
| **Warnings** | Warning Count | 13 |
| **Security** | Failed Login Attempts | 6 |
| **Security** | Suspicious Activities | 1 |
| **Security** | Blocked IPs | 1 |
| **Performance** | Avg Response Time | 205.28ms |
| **Performance** | Slow Requests (>1s) | 3 |
| **Resources** | Avg CPU Usage | 40.17% |
| **Resources** | Avg Memory Usage | 65.83% |

## Findings Summary

### Error Analysis Findings

The error analysis identified 6 errors across the system with an error rate of 6.38%. The errors were categorized as follows:

- Application Errors: 2
- System Errors: 1
- Network Errors: 2
- Database Errors: 1

Most errors are transient and recoverable, with retry mechanisms functioning correctly.

### Security Analysis Findings

The security analysis detected 6 failed login attempts and 1 suspicious activities. Key findings include:

- Potential brute force attempts from 2 IP addresses
- 1 account lockouts triggered
- 1 IPs blocked by the firewall
- 1 rate limit violations

The security controls are functioning effectively, with automatic detection and blocking of malicious activities.

### Performance Analysis Findings

The performance analysis shows healthy system metrics with an average response time of 205.28ms. Key findings include:

- 3 requests exceeded the 1-second threshold
- 2 database queries exceeded the 100ms threshold
- Resource utilization is within healthy ranges (CPU: 40.17%, Memory: 65.83%)

## Prioritized Recommendations

### High Priority

1. **Optimize Analytics Endpoint**: The `/api/v1/analytics` endpoint shows response times exceeding 2 seconds. Implement caching or background processing.

2. **Enhance Brute Force Protection**: Multiple IPs showed brute force patterns. Consider implementing CAPTCHA and extending lockout durations.

### Medium Priority

3. **Database Query Optimization**: Add indexes to `activity_log` and `orders` tables to improve query performance.

4. **Payment Gateway Resilience**: Implement retry logic with exponential backoff for payment gateway timeouts.

5. **Webhook Reliability**: Implement a dead-letter queue for failed webhook deliveries.

### Low Priority

6. **Monitoring Enhancements**: Set up real-time alerting for security events and performance anomalies.

7. **Caching Strategy**: Expand caching for frequently accessed data to reduce database load.

## Overall System Health

| Aspect | Status | Assessment |
|--------|--------|------------|
| Error Rate | Healthy | 6.38% is within acceptable limits |
| Security | Healthy | Detection and response mechanisms working correctly |
| Performance | Healthy | Response times and resource utilization within normal ranges |
| Availability | Healthy | All services reporting healthy status |

## Detailed Reports

For more detailed information, please refer to the following reports:

- [Error Analysis Report](error_analysis.md)
- [Security Analysis Report](security_analysis.md)
- [Performance Analysis Report](performance_analysis.md)

## Conclusion

The system demonstrates a healthy operational state with effective error handling, robust security controls, and acceptable performance characteristics. The identified issues are primarily optimization opportunities rather than critical problems. Implementing the prioritized recommendations will further improve system reliability and performance.
124 changes: 124 additions & 0 deletions analysis/error_analysis.md
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# Error Pattern Analysis Report

Generated: 2025-12-01 19:35:08 UTC

## Executive Summary

This report analyzes error patterns found in the system logs to identify issues, categorize them by type, and provide recommendations for mitigation.

## Overview

The analysis examined 94 log entries and identified 6 errors and 13 warnings.

| Metric | Value |
|--------|-------|
| Total Log Entries | 94 |
| Error Count | 6 |
| Warning Count | 13 |
| Error Rate | 6.38% |
| Warning Rate | 13.83% |

## Error Distribution by Category

The errors have been categorized into the following types:

| Category | Count |
|----------|-------|
| Application Errors | 2 |
| System Errors | 1 |
| Network Errors | 2 |
| Database Errors | 1 |

## Errors by Service

| Service | Error Count |
|---------|-------------|
| payment-service | 1 |
| database | 1 |
| notification-service | 1 |
| api-gateway | 1 |
| external-api | 1 |
| webhook-service | 1 |

## Errors by Error Code

| Error Code | Count |
|------------|-------|
| TIMEOUT_001 | 1 |
| DB_CONN_001 | 1 |
| SMS_FAIL_001 | 1 |
| RATE_LIMIT_001 | 1 |
| EXT_API_001 | 1 |
| unknown | 1 |

## Warnings by Service

| Service | Warning Count |
|---------|---------------|
| auth-service | 9 |
| cache-service | 1 |
| api-gateway | 1 |
| storage-service | 1 |
| inventory-service | 1 |

## Error Details

### Error 1

- **Timestamp**: 2025-12-01T10:00:10.123Z
- **Service**: payment-service
- **Message**: Payment gateway timeout
- **Error Code**: TIMEOUT_001

### Error 2

- **Timestamp**: 2025-12-01T10:00:21.789Z
- **Service**: database
- **Message**: Connection timeout
- **Error Code**: DB_CONN_001

### Error 3

- **Timestamp**: 2025-12-01T10:00:32.012Z
- **Service**: notification-service
- **Message**: SMS delivery failed
- **Error Code**: SMS_FAIL_001

### Error 4

- **Timestamp**: 2025-12-01T10:00:47.456Z
- **Service**: api-gateway
- **Message**: Rate limit exceeded
- **Error Code**: RATE_LIMIT_001

### Error 5

- **Timestamp**: 2025-12-01T10:01:09.234Z
- **Service**: external-api
- **Message**: Third-party API error
- **Error Code**: EXT_API_001

### Error 6

- **Timestamp**: 2025-12-01T10:01:44.012Z
- **Service**: webhook-service
- **Message**: Webhook delivery failed
- **Error Code**: N/A

## Recommendations

Based on the error analysis, the following recommendations are provided:

1. **Payment Service Timeouts**: Implement retry logic with exponential backoff and consider increasing timeout thresholds for payment gateway connections.

2. **Database Connection Issues**: Review connection pool settings and implement connection health checks. Consider adding a connection retry mechanism.

3. **SMS Delivery Failures**: Implement fallback SMS providers and add monitoring for carrier availability.

4. **Webhook Delivery Failures**: Implement a dead-letter queue for failed webhooks and add automatic retry with exponential backoff.

5. **Third-Party API Errors**: The circuit breaker pattern is already in place, which is good. Consider adding fallback responses for non-critical external services.

## Conclusion

The system shows a healthy error rate of 6.38% with most errors being transient and recoverable. The existing retry mechanisms and circuit breakers are functioning as expected. Focus should be on improving timeout handling and implementing fallback mechanisms for external dependencies.
145 changes: 145 additions & 0 deletions analysis/performance_analysis.md
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# Performance Anomaly Analysis Report

Generated: 2025-12-01 19:35:08 UTC

## Executive Summary

This report analyzes performance metrics from system logs to identify bottlenecks, slow operations, and resource utilization anomalies.

## Response Time Analysis

| Metric | Value (ms) |
|--------|------------|
| Minimum | 12 |
| Maximum | 2150 |
| Average | 205.28 |
| 95th Percentile | 1850 |
| 99th Percentile | 2150 |

## Database Query Performance

| Metric | Value (ms) |
|--------|------------|
| Minimum | 5 |
| Maximum | 245 |
| Average | 51.64 |
| 95th Percentile | 245 |
| 99th Percentile | 245 |

## Slow Operations Summary

| Category | Count | Threshold |
|----------|-------|-----------|
| Slow Requests (>1000ms) | 3 | 1000ms |
| Slow Queries (>100ms) | 2 | 100ms |

## Resource Utilization

### CPU Usage

| Metric | Value (%) |
|--------|-----------|
| Minimum | 35.2 |
| Maximum | 44.2 |
| Average | 40.17 |

### Memory Usage

| Metric | Value (%) |
|--------|-----------|
| Minimum | 62.5 |
| Maximum | 68.5 |
| Average | 65.83 |

### Disk I/O

| Metric | Value (%) |
|--------|-----------|
| Minimum | 15.8 |
| Maximum | 25.1 |
| Average | 20.42 |

## Slowest Endpoints

| Endpoint | Avg Response Time (ms) | Max Response Time (ms) |
|----------|------------------------|------------------------|
| /api/v1/analytics | 2150.0 | 2150 |
| /api/v1/checkout | 1850.0 | 1850 |
| /api/v1/recommendations | 125.0 | 125 |
| /api/v1/reports | 67.0 | 67 |
| /api/v1/cart/items | 58.0 | 58 |

## Slow Request Details

### Slow Request 1

- **Timestamp**: 2025-12-01T10:00:11.456Z
- **Endpoint**: N/A
- **Method**: N/A
- **Response Time**: 1250ms
- **Status Code**: N/A

### Slow Request 2

- **Timestamp**: 2025-12-01T10:00:29.456Z
- **Endpoint**: /api/v1/analytics
- **Method**: GET
- **Response Time**: 2150ms
- **Status Code**: 200

### Slow Request 3

- **Timestamp**: 2025-12-01T10:01:22.123Z
- **Endpoint**: /api/v1/checkout
- **Method**: POST
- **Response Time**: 1850ms
- **Status Code**: 201


## Slow Query Details

### Slow Query 1

- **Timestamp**: 2025-12-01T10:00:28.123Z
- **Table**: orders
- **Operation**: SELECT
- **Query Time**: 156ms
- **Rows Affected**: 1000

### Slow Query 2

- **Timestamp**: 2025-12-01T10:01:36.234Z
- **Table**: activity_log
- **Operation**: SELECT
- **Query Time**: 245ms
- **Rows Affected**: 500

## Performance Recommendations

Based on the performance analysis, the following recommendations are provided:

1. **Analytics Endpoint Optimization**: The `/api/v1/analytics` endpoint shows high response times (2150ms). Consider implementing caching, query optimization, or background processing for complex analytics.

2. **Checkout Performance**: The checkout endpoint shows elevated response times (1850ms). Review payment gateway integration and consider async processing for non-critical operations.

3. **Database Query Optimization**: Some queries on the `activity_log` and `orders` tables show elevated execution times. Consider adding appropriate indexes and implementing query pagination.

4. **Resource Utilization**: CPU, memory, and disk I/O are within healthy ranges. Continue monitoring for trends and set up alerts for thresholds.

5. **Caching Strategy**: Implement or expand caching for frequently accessed data to reduce database load and improve response times.

6. **Connection Pooling**: Database connection pool is healthy (15/100 active). Monitor for connection exhaustion during peak loads.

## Performance Health Assessment

| Aspect | Status | Notes |
|--------|--------|-------|
| Response Times | Good | Average response time is within acceptable range |
| Database Performance | Good | Most queries execute quickly |
| CPU Utilization | Healthy | Average 40%, well below threshold |
| Memory Utilization | Healthy | Average 66%, within normal range |
| Disk I/O | Healthy | Average 20%, no bottlenecks detected |

## Conclusion

The system demonstrates healthy performance characteristics with most metrics within acceptable ranges. The identified slow endpoints should be prioritized for optimization. Resource utilization is healthy with no immediate concerns. Continue monitoring and implement the recommended optimizations to maintain performance as load increases.
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