Joint dashboards

1) What are "joint dashboards" and why are they ecosystem

Joint dashboards are single panels of metrics and events available to several network participants at once (operators, studios/RGS, aggregators, PSP/APM, KYC/AML, affiliates/media, analytics, SRE/security).

The goal is to make coordinated decisions in real time (campaigns, payment routes, limits, feature flags), while each side sees exactly what it is entitled to in one "source of truth."

• In short, the path from signal to action (Observe→Decide→Act loop).
• Transparent SLO/SLA liability and error budget.
• Less debate about attribution and quality of traffic.
• Reduce Cost-to-Serve with common data and visualization standards.

2) Typical scenarios and audiences

War-room/Incidents: p95 login/deposit/rates, lag event buses, health providers, stop buttons.
Campaigns and growth: FTD/ARPU/LTV by channel, affiliate contribution, mission and tournament dynamics, feature flag setpoint.
Payments and KYC: CR for APM/PSP, 3DS authorization, chargebacks, KYC speed.
Content/studios: retention by game/provider, RTP/volatility, live video SLI.
SRE/Infra: uptime integrations, p95/p99 API, DR flips, headroom and disposal.
Security/RG: PD incidents, anti-fraud signals, RG-gardrails, sanctions matches.
Finance: GGR/net, rake/fee, credits/penalties, Cost-to-Serve, ROI releases.

3) Architectural layer of dashboards (of which it consists)

1. Event bus (EDA): domain topics' click/session/bet/spin/deposit/kyc _ status/... 'with Schema Registry and trace correlation.
2. Data Contracts & Ontology: single entity names, identifier types ('playerId', 'operatorId', 'campaignId'), units, time zones (UTC/ISO-8601).
3. Metric Store: canonical KPI/SLO calculations (versioned formulas), data lineage.
4. Real-Time/Streaming layer: materialized views (≤1 -5 s), CDC/stream-aggregation.
5. Access Layer: RBAC + ABAC + ReBAC, data tokenization and masking, multi-tenant isolation.
6. Visualization & Actions: panels, drills before tracing, contextual actions (flags, cut-over), notifications and webhooks.

4) Data contracts and metrics catalogs

Why it matters: without a formula catalog, different participants consider "FTD," "CR," "valid deposit" to → disputes differently.
What to fix: metric definition, aggregation window, filters/exceptions, sources, owner, version.
Practice: bind each key metric to the owner (Data Steward) and domain (council). Formula versions - through semantic versioning (v1, v1. 1…).

5) Access, privacy and federation

RBAC + ABAC: Role ("Partner. Affiliate"), attributes (jurisdiction, environment, risk rate, verified).

ReBAC: "I only see campaigns/games/streams that I belong to."

PII minimization: tokens instead of PD, masking, prohibition of detokenization on the panel side.
Jurisdictions: data localization and visibility filters by country; export - aggregates only.
Access log: WORM logs "who saw what and what actions did" with traceId.

6) Real-time and performance (SLO dashboards)

Data update (stream): p95 delay ≤ 1-5 s for operational panels; for finance - ≤ 15 min.
Panel rendering: p95 ≤ 1.5 s at fresh cache; ≤ 4 s at warm-up.
Availability: ≥ 99.9% for critical panels (war-room, payments, KYC).
Drills and exports: drills before the event ≤ 2-3 s; export of aggregates - batch with audit.
Quotas and caches: per-tenant rate-limit, hot widget cache, backpressure for complex requests.

7) Visualization and UX patterns

Global SLO header: p95 login/deposit/bet traffic light, event delivery, RG indicators.
Domain sections: Product, Payments, KYC/AML, Content/Live, Affiliates, SRE/Infra, Security, Finance.
Drili → Tracing: clicking on an anomaly leads to a breakdown by region/provider/version → transition to trace/log.
Actions from the panel: switch the A/B/flag, change the priority of the route, run cut-over PSP, freeze the offer (with confirmation and audit).
Guardrails in UI: Warnings at risk of violating RG/Jurisdictions/Error Budget.

8) Catalog of dashboard "packages" (ready-made sets)

8. 1 War-room (operational)

p95/p99 critical APIs, success of KYC payments/updates, broker lag, outlier-ejection status, DR flips, error budget, stop buttons.

8. 2 Campaigns/Marketing/Affiliates

FTD/CR, channel/segment contribution, "last eligible touch" attribution, mission and tournament frequency/revenue, limits by jurisdiction.

8. 3 Payments/PSP/APM

CR by AWS/region/device, p95 authorizations, chargebacks, fraud signals, auto-cut-over states.

8. 4 KYC/AML

SLA stages (doc/face/watchlist), FP/FN, manual review queue, deposit/rate impact funnel.

8. 5 Content/Studios and Live

Hold/sessions by game, RTP/volatility, live stream SLI (e2e delay, packet loss), leaderboards.

8. 6 SRE/Infra

Uptime integrations, headroom, throughput, cost of rps/event/stream, planned change windows.

8. 7 Finance

GGR/net, rake/fee, credits/penalties (on SLO), Cost-to-Serve, campaign/channel profitability.

9) Affiliate scorecards

• SLI/SLO: uptime, p95, error rate, bus lag, protocol conformance.
• Economy: Share in GGR/fee, cost-to-serve, credits/penalties.
• Compliance/RG: PD incidents, RG triggers, sanctions fouls.
• Trust: completeness of tracing/logs, speed of providing an audit package.
• The card is available to both parties, signed at the end of the reporting period.

10) Change management (versions, migrations, A/B)

Versioning widgets and formulas: vN in metadata; "Feature Notes" with changes.
A/B-view: identical panels with different formulas/sections for comparison; guardrails on budget errors.
Change windows: panel/source release calendar with automatic rollback.
Conformance tests: run tests for the correctness of samples/formulas during depletion.

11) Observability of dashboards themselves

Panel metrics: TTFB, p95 renders, request error rate, share of cache hits.
Data quality: freshness/completeness/uniqueness, schema-violations, drift.
Audit actions: who changed the flag/route/limit from UI; two-factor confirmation.

Alerts: "data not updated> N minutes," "sharp rise in retras," "RG guardrail close to threshold."

12) Security and privacy

Zero Trust: mTLS, request signature (JWS/HMAC), short-lived tokens, egress-allow-list.

SoD: separation of roles "look "/" act "/" administer."

Export: only aggregates without personal data; personalization - in safe zones.
Jurisdictions: data filtering and localization, DPIA/DPA; "redline" to cross-border export.

13) Anti-patterns

Many "truths": duplicates of panels with different formulas → chaos and controversy.
CI "blindly": there are no lineage and versions - it is impossible to prove the calculation.
PII on display: no tokenization/masking.
Heavy requests without cache and quotas: the panel falls into peak.
Dashboard without action: everything is visible, you cannot change - the speed is lost.
Single SPOF gateway: no N + 1 and health-flip → unavailable at critical time.

14) Implementation checklist

1. Capture ontology and data contracts, highlight metric owners.
2. Bring up the Metric Store with formula versioning and lineage.
3. Set up stream storefronts for real-time panels, batch for financial reports.
4. Enable RBAC + ABAC + ReBAC, tokenization, SoD, auditing.
5. Collect a catalog of ready-made panels (war-room, campaigns, payments, KYC, content, SRE, finance).
6. Add contextual actions (flags, cut-over, limits) with confirmations.
7. Enter SLO panels (update, render, availability), quotas and cache.
8. Run conformance and e2e tests, sandbox/demo data.
9. Organize a change portal: changelogs, migrations, feedback.

10. Regular scorecards with partners and RCA "no fault."

15) Maturity Roadmap

v1 (Foundation): single metrics catalog, base panels, RBAC, batch updates.
v2 (Integration): stream storefronts, ABAC/ReBAC, panel actions, scorecards.
v3 (Automation): auto-alerts and auto-dosing by SLI, A/B-view formulas, auto-cache.
v4 (Networked Governance): cross-partner panel portfolios, federated storefronts, ML predictive hints.

16) Dashboard success metrics

Speed of decisions: time from anomaly to action (TTD).
Data unity: the proportion of metrics read from the directory (versions are synchronous).
Availability and performance: p95 renders, uptime panels, share of cache hits.
Security: PD incidents = 0,% masked/tokenized requests.
Economy: Lower Cost-to-Serve, increased CR/FTD/ARPU thanks to quick action.
Partnership: regularity of review scorecards, reduction of controversial attribution cases.

Brief Summary

Collaborative dashboards are an operational showcase of the ecosystem: uniform formulas and ontology, real-time updating, strict access and one-click actions. Standardize metrics, implement drills before tracing, add contextual actions and guardrails, ensure observability and versions - and the network of participants will see the same thing, solve quickly and safely, sustainably increasing value for all.