Observability
Grafana Dashboards
Real-time monitoring of consensus health, hallucination rates and self-healing velocity
The Observatory Stack
E
Elasticsearch
Indexes Voter Logs, execution metrics and divergence events for queryable analysis.
L
Logstash
Ingests STDOUT, STDERR and Compiler Logs from all Docker containers in real-time.
G
Grafana
The “Mission Control” dashboard visualising system health and consensus metrics.
Mission Control Dashboard
Parallax Protocol - Mission Control
LiveLast 24 hours
Consensus Rate
94%
Unanimous Agreement
Hallucination Index
C2.1%
Java3.4%
Python5.2%
Self-Healing Velocity
1.2
avg. patch loops
Execution Time (ms)
C
12ms
Java
89ms
Python
156ms
Consensus Over Time (24h)
00:00
04:00
08:00
12:00
16:00
20:00
Recent Divergence Events
| Time | Spec ID | Anomaly | Expected | Received | Status |
|---|---|---|---|---|---|
| 14:23:15 | LNS-402 | Python | 100.0 | 99.98 | Healed |
| 14:21:08 | AMT-118 | Java | 456.78 | 456.77 | Healed |
| 14:18:44 | FLT-203 | Python | 0.0023 | NaN | Patching |
Key PromQL / Elasticsearch Queries
Consensus Rate
sum(consensus_result{status="unanimous"}) / sum(consensus_result) * 100Hallucination Rate by Language
sum(divergence_events{language="$lang"}) / sum(total_executions{language="$lang"}) * 100Average Self-Healing Velocity
avg(remediation_loops_total{status="healed"})Execution Time Percentiles
histogram_quantile(0.95, execution_time_ms_bucket{language="$lang"})