Observe decisions, rules, errors, and release health from one local UI.

The dashboard reads decision logs, dead-letter logs, metrics, benchmark results, and rule status from the local BlazeRules data plane. It gives developers the operational view without becoming the event processor itself.

blazerules_dashboard --port 9470

check_circle Starting dashboard collectors...

Sources: decisions.ndjson, dlq.ndjson, metrics endpoint

[METRICS] Prometheus scrape active.

[DECISIONS] Recent outcomes indexed for timeline view.

[DLQ] Malformed records grouped by error code.

Dashboard panels online
>> Decisions, rules, errors, benchmarks, source health

A read-only operations surface for the engine.

Use the dashboard to inspect what BlazeRules is doing in production: decision volume, rule fire rates, bad-message samples, source health, and recent benchmark output.

TimelineDecision rate and latency trend.

DLQSkipped-row counts and samples.

RulesTop fired rules and match counts.

SourcesWatched files, metrics URL, freshness.

BlazeRules Dashboard ruleset: active

Records/sec842K

Match rate37.8%

Skipped rows19

BackendAVX2

Decision timeline

Top fired rules

high_amount_foreign482k

velocity_30m_count371k

vpn_cidr_lookup214k

Recent decisions

22:04:18BLOCK92.0high_amount_foreign22:04:19REVIEW61.5velocity_30m_count

Rule Release Flow

A compact governance view for validating rule changes before activation.

Draft

Validate

Diff

Backtest

Approve

Deploy

Observe

Rollback

rule_production_checkout_fraud.yml LIVE

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name: HighRiskWindowCheck
trigger: checkout.completed
logic:
  if:
    - action: FLAG
    + action: REVIEW
    - window_count > 10
    + window_count > 4
    - location: [EE, LT, UA]
monitoring:
  enabled: true
  alerts: slack_eng_critical

Projected Impact

+2.1%

REVIEW RATE (EST.)

False Positives -14%

Projected latency change +0.2ms

info Projections based on last 7 days of production event shadow-runs.

Fleet Status

Sync Nodes 12/12

Active Version active ruleset

Last Failed Reload None

Rule Drift

analytics

04:00 Live (UTC)