See KillKrill in Action
Experience the power of ultra-fast monitoring with our interactive dashboard mockups
⚡ KillKrill Dashboard
Live
CPU Usage
↑ 5%67.8%
Memory Usage
→ 0%45.2%
Request Rate
↑ 15%1,247/s
Error Rate
↑ 2.3%0.08%
⚠️ Above threshold
System Performance (Last Hour)
Response Time (ms)
Throughput (req/s)
Real-time System Overview
Monitor your entire infrastructure with live metrics, interactive charts, and instant alerts. No more waiting for data to load.
✨ Sub-100ms updates
📊 Interactive charts
⚠️ Smart alerts
📈 Metrics Explorer
✓ Query executed in 0.032s • 2.5M data points processed
avg_cpu_usage
45.7%
Min: 12.3%
Max: 89.1%
P95: 76.4%
service_count
47
Healthy: 45
Warning: 2
Critical: 0
Query Visualization
Advanced Metrics Explorer
Query millions of data points in milliseconds with our SQL-like query interface. Build custom visualizations and perform complex analytics.
🔍 SQL-like queries
⚡ 0.03s execution time
📊 Custom visualizations
🚨 Alert Manager
2 Critical
5 Warning
12 Info
High Error Rate - API Service
Error rate is 5.2% (threshold: 1%)
2 minutes ago
High CPU Usage - Database Server
CPU usage is 85% (threshold: 80%)
5 minutes ago
Disk Space Low - Storage Node 3
Disk usage is 92% (threshold: 90%)
8 minutes ago
Alert Rules
High Error Rate
error_rate > 1% for 2m
Active
CPU Usage
cpu_usage > 80% for 5m
Active
Intelligent Alert Management
Smart alerting with machine learning-powered anomaly detection using WaddleAI. Reduce alert fatigue with intelligent grouping and escalation policies.
🤖 WaddleAI powered
📱 Multi-channel alerts
🔕 Smart deduplication
💡 Performance recommendations
📋 Log Analytics
ERROR
[api-service]
WARN
[auth-service]
INFO
[web-server]
INFO
[background-worker]
Log Pattern Analysis
Database Errors
47 occurrences
Auth Failures
23 occurrences
Powerful Log Analytics
Search through billions of log entries in seconds. Automated pattern detection and correlation help you find issues faster than ever.
🔍 Full-text search
🎯 Pattern detection
🔗 Log correlation
Ready to try it yourself?
Get KillKrill running in under 5 minutes:
docker run -p 3000:3000 killkrill/killkrill:latest
Experience Ultra-Fast Monitoring
See the performance difference for yourself