GH GambleHub

Visibility of circuits and assemblies

1) Task and observation object

Visibility of circuits and nodes is the ability of an ecosystem to see, measure and explain the behavior of inter-circuit flows (traffic/events/payments/CCM/content) and nodes (operators, studios/RGS, PSP/APM, KYC/AML providers, affiliates, aggregators, stream nodes). Objectives:
  • end-to-end causality (click to invoice);
  • predictable SLOs and managed risk;
  • rapid RCA and low MTTR;
  • provability (signed summaries, WORM audit) at minimum telemetry cost.

2) Observability ontology

Entities:
  • `chainId`, `nodeId`, `role`(operator/studio/psp/kyc/affiliate/stream), `jurisdiction`, `env`(prod/stage/sbx), `traceId`, `spanId`, `routeId`, `campaignId`, `tableId`, `apmRouteId`.
Canonical events:
  • `click`, `session_start`, `registration`, `kyc_status`, `deposit/withdrawal`, `ftd`, `bet/spin`, `reward_granted`, `postback_sent/received`, `jackpot_contribution/trigger`, `stream_sli`, `rg_guardrail_hit`.
Signal classes:
  • Metrics (RED/USE/Golden Signals), Traces (W3C traceparent), Logs (structural), Events (business), RUM/Synthetic (client/channels), Audit/WORM (unchangeable).

All schemes are versioned in Schema Registry; times are UTC/ISO-8601.


3) Transport and correlation

OpenTelemetry: a single format for metrics/logs/spans; exporters to TSDB/handlers.
W3C Trace Context: 'traceparent '/' tracestate' are thrown through redirects, APIs, webhooks, bus.
Idempotency: 'Idempotency-Key' on critical paths (payments/postbacks).
Exactly-once in meaning: hash grandfather/cursor history, webhook replay register.
Exemplars: associate latency histograms with specific 'traceId' for fast RCAs.


4) SLI/SLO model and error budgets

Golden Signals: latency, traffic, errors, saturation.
RED: Rate, Errors, Duration.
USE (infrastructure): Utilization, Saturation, Errors.

Examples of SLI/SLO (landmarks):
  • Webhooks: delivery ≥ 99. 9%, p95 ≤ 1-2 s.
  • Partner API: p95 ≤ 150-300 ms, error rate ≤ 0. 3–0. 5%.
  • Event bus: lag p95 ≤ 200-500 ms; delivery ≥ 99. 9%.
  • Payments/AWS: CR in the profile corridor; e2e authorization ≤ X s.
  • KYC: pass-rate and SLA stages by jurisdictional profile.
  • Live/SFU/CDN: e2e 2-3 s, packet loss ≤ 1%, uptime ≥ 99. 9%.
  • Dashboards: freshness ≤ 1-5 s; p95 render ≤ 1. 5–2. 0 s.

Error budget: fix periods (for example, 30 days), error types (5xx, timeouts, SLO violations), auto bonus/malus rules and stop buttons.


5) Dashboards: layers and artifacts

1. Service Graph (tsepi↔uzly): topology, rps/eps, p95/p99, error-rate, saturation, heatmap streams by jurisdiction.
2. Business Flow: klik→registratsiya→KYC→depozit→FTD→stavka/raund→vyplata; conversion funnels and attribution windows.
3. Payments/KYC: CR × geo × device, failure codes, latency stages, auto cut-over with annotations.
4. Content/RGS/Live: round-trip, error-rate, SFU/CDN SLI, leaderboards and jackpots.
5. Postbacks/Attribution: timeliness, controversy, dedup, cursor lags.
6. Trust & Risk: node scorecards (SLO/ATTR/RG/SEC), "time per trace packet," Tier forecast.

Each panel contains formula versions and links to a changelog.


6) Alerting and escalation

Multi-level SLO alerts: warning (burn-rate 2 ×), criticism (burn-rate 10 ×), subsequent actions (cooling routes/limits).
Compositional triggers: "latency↑ + CR↓ + postback lag↑" → suspicion of PSP degradation.
Role channels: SRE/Payments/KYC/RGS/Marketing/Finance/Legal/RG; context immediately enables' traceId '/' runbook '/stop button.
Snooze/Muting policies for noisy metrics, but no P1 jamming.


7) RCA и war-room

SLA per trace packet: 60-90 s (P1/P2).
RCA pattern "no blame": fact → hypothesis → experiment → putting → follow-up → into action.
Release diff (§ 2 events): automatic check of collisions/formulas/configs in the incident window.
Post-mortem SLO: time to detection, to pause, to rollback, to stabilization, to publication of notes.


8) Data quality and lineage

Data Quality SLI: completeness, freshness, uniqueness ('eventId'), consistency of currencies/locales.
Lineage: from storefronts/panels to sources (schematics/versions/owners).
Oracles: signed aggregates (GGR/NetRev/SLO/RG), 'formulaVersion', 'hash (inputs)', 'kid', period.
WORM audit: immutable formula/key/exception/invoice logs.


9) Privacy, jurisdictions and security

Zero Trust: mTLS, short-lived tokens, egress-allow-list, key rotation/JWKS.
PII minimization: tokenization of 'playerId', detokenization only in safe zones; PD prohibition in logs/metrics.

ABAC/ReBAC/SoD: "see theirs and agree" access; "measure ≠ influence ≠ change."

Data localization and DPIA/DPA for markets; purge policies and TTL.


10) Cost of telemetry and cardinality management

Cardinality Budget: label limits (userId/URL/UA - prohibited; routeId/campaignId - allowed).
Histograms instead of percentiles on the fly; exemplars for selective detailing.
Adaptive sampling of traces: base percentage + priority for errors/slow paths/new versions.
Downsampling/roll-ups by age (1s→1m→5m); storage of RAW trails is short, aggregates are longer.
SLO-first: collect only what supports solutions (SLO/finance/compliance).


11) Integration with management (SRE ↔ business)

Guardrails releases and campaigns are tied to SLO/bug budgets.
Auto cut-over APM/KYC routes when metrics go beyond corridors.
RevShare/Limits: The 'Q' quality multiplier (from SLO/ATTR/RG/SEC) affects rates and quotas.
Scorecards of nodes → traffic prioritization and access to pilots.


12) Anti-patterns

"Many truths" by formula metrics and different windows.
Offset pagination of history under load (use cursors).
PII in logs/panels; PD export to BI.
Postback Zoo and unsigned webhooks → takes/holes/disputes.
Graph without 'traceId': the panel is beautiful, there is no causality.
Alert storm without burn-rate and role-playing routes.
SPOF telemetry aggregator without N + 1/DR.
Exceptions without TTL/audit are sticky overrides.


13) Checklists

Design

  • Ontology of signals and circuits; versions and owners.
  • W3C traceparent everywhere; Idempotency-Key on critical paths.
  • SLI/SLO and error budgets; stop buttons; guardrails.
  • Cardinality, sampling, retention/roll-ups policies.
  • Privacy/PII: tokenization, DPA/DPIA, localization.
  • Role-based alerts and runbooks.

Start

  • Conformance for traces/metrics/logs; synthetic runs.
  • Canary telemetry for releases; comparison panels before/after.
  • War-room playbooks; SLA per trace package.

Operation

  • Weekly node scorecards; burn-rate reports.
  • Monthly formula changelogs and SLO/limit revisions.
  • DR/xaoc exercises of aggregators/tires/storefronts.

14) Maturity Roadmap

v1 (Foundation): basic metrics + logs, single traceId, manual RCAs, primary SLOs.
v2 (Integration): OpenTelemetry everywhere, service graph, guardrails, oracle pipeline, role-playing alerts.
v3 (Automation): predictive degradation, auto cut-over APM/KYC/RGS, smart-reconciliation, limit dynamics by'Q '.
v4 (Networked Governance): inter-chain signal and oracle exchange, formula/SLO DAO rules, transparent treasuries.


15) Success metrics

Quality/risk: MTTR↓, MTTD↓, disputability <X%, auto-pause/rollback share, track coverage ≥ 95%.
Business: uplift predictability CR/FTD/ARPU/LTV, accuracy and timeliness of postbacks, stability NetRev.
Technique: p95 API/webhooks/tires/showcases in the corridors; node uptime/CDN/SFU ≥ 99. 9%.
Economy: Cost-to-Observe (CTO) per rps/event,% aggregates with exemplars, RAW storage in limits.
Compliance: 0 PD leaks, successful DPIA/DPA audits, 100% availability of WORM logs.


Brief summary

Visibility is a production trust loop: one ontology, end-to-end traces, a canon of metrics and events, SLO gardrails and data oracles, default privacy and telemetry cost discipline. Such a framework makes chains and nodes transparent, predictable and provable, and the ecosystem responsive and risk-resistant.

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