📊 DNS Statistics â€Ē 0ms.dev

System Operational
Privacy-First DNS Service

0ms.dev is a no-logging DNS service that prioritizes your privacy. All statistics shown here are calculated in-memory and displayed in real-time. Nothing is written to disk.

Intelligent DNS Processing with ML & Geographic Optimization

O(1) Time Complexity combined with machine learning and geographic awareness. Our system uses adaptive ML to analyze query patterns and optimize caching, while geographic optimization routes your requests to the fastest servers for your location.

System Uptime
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Since Last Restart
Total Requests
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- requests/second
Protocol Distribution
DoH
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HTTPS
DoT
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TLS
Plain
-
UDP/TCP
Cache Performance
Combined percentage of DNS queries served from any cache layer
- Overall cache hit ratio across all cache layers relative to total requests
L1: Listener Fast Path Layer 1 cache (fastest) - serves requests directly from listeners without reaching the resolver chain
- Percentage of total requests served by the Listener Fast Path (L1 cache)
Hits Number of queries served directly from listeners
-
Misses Number of queries that passed through to the resolver chain
-
L2: Smart Cache Layer 2 cache - handles queries that weren't served by the Listener Fast Path
- Percentage of total requests served by the Smart Cache (L2 cache)
Hits Number of queries served from the Smart Cache
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Misses Number of queries not found in any cache layer
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Smart Cache
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Domains
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Deduplicated
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Blocked Requests
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Blocked by Blocklist -
Response Time
End-to-End
-
-
Full request processing time from listener to resolver and back
From Cache
-
-
Time to retrieve responses from the DNS cache
Listener Fast Path
-
-
Time for listener to directly respond without resolver chain
Response Speed
Fast <1ms
1-10ms
>10ms
Error Rate
0%
Total Errors
-
Rate Limiter
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Exceeded
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Dropped
-
ML Last Analysis
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Last ML Optimization Run
Analysis Interval
-
Location Awareness
Geo Clusters
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Client regions
Success Rate
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TCP probe success
Probes
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Connection tests
Hit Rate
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Cluster cache hits
ML Parameter Adjustment
Clusters
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Min Occ.
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Max Prefetch
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Cache Usage
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Current Memory
Auto-adjusted parameters

Protocol Distribution

Blocked Requests

Rate Limiter Activity

Smart Cache Activity

ML Patterns Tracked
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Query Patterns Analyzed
ML Clusters
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Pattern Groupings
ML Prefetched Queries
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Proactively Cached
ML Cache Optimization
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Prediction Accuracy
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Cache Hit Improvement

ML Cluster Voronoi Diagram

This Voronoi diagram visualizes how our advanced ML system groups similar DNS query patterns. Each dot represents a query pattern, and each colored region shows its area of influence. Patterns with the same color belong to the same cluster, identified by our hybrid clustering system that combines k-means with DBSCAN for improved accuracy. The horizontal axis shows Query Type, while the vertical axis shows Query Name Length. These clusters enable intelligent prefetching of related queries through our enhanced ML optimizer that incorporates temporal pattern analysis, anomaly detection, and adaptive feature weighting, all while maintaining O(1) time complexity.
Clusters
Clusters: 0
Points: 0