Ecosystem Events and Updates

1) Partition and boundary task

Ecosystem events and updates are a standardized way to announce, roll out and confirm changes (product, content, payments/AWP, KYC/AML, marketing, infrastructure, rules and metrics) for all network roles: operators, studios/RGS, aggregators, affiliates/media, PSP/APM, KYC/AML-providers and streamers.
Objectives: predictability of releases, reduction of controversies, risk control, data provability and a unified understanding of the "what/where/when/why changed" status.

2) Ontology of events (canon)

Сущности: `eventId`, `type`, `scope`, `version`, `status`, `window`, `owner`, `traceId`, `breakingChange`, `rollbackPlanId`.

• `product_release`, `content_update`, `rgs_update`, `payment_route_change`, `kyc_policy_change`,
• `marketing_campaign`, `rg_policy_update`, `jurisdiction_notice`,
• `infra_maintenance`, `security_bulletin`, `data_formula_change` (формулы GGR/NetRev/CR и др.).
• Статусы (`status`): `planned` → `staged` → `rolling_out` → `live` → `paused/rolled_back` → `closed`.
• Окна (`window`): `green` (low-risk), `yellow` (controlled), `red` (change-freeze).
• All event schemas are in Schema Registry, times are UTC/ISO-8601, sums are with 'currency'.

3) Versioning and types of changes

SemVer for artifacts: 'MAJOR. MINOR. PATCH '(MAJOR - breaking: attribution principles, metric formulas; MINOR - new fields/features; PATCH - fixes).
Data Contracts - The event schema version and the metric formula version are always published together.

Migration Notes: mandatory fields "how to migrate," "date of entry," "backward compatibility window."

Frozen-period: minimum stability period after MAJOR (e.g. ≥ 14 days).

4) Release calendar and prioritization

Annual layer: key milestones (regulatory changes, peak seasons).
Quarterly layer: large MAJOR/inter-chain initiatives.
Weekly layer: MINOR/PATCH, marketing/content, payments/CCM.
Priorities: security/compliance> payments/CUS> RGS/content stability> marketing.
Collisions: automatic conflict-check by geo/time zones/traffic peaks.

5) Update Publication Protocol

1. Announcement Draft (owner): description of the purpose/benefit, impact on KPIs, scope (chains/geo/brands), risk assessment.
2. Spec & Contracts: updated schemes/formulas, test cases, migrations.
3. Approval Gate: Legal/Privacy/RG/Security/Finance/Protocol Council.
4. Staging: sandbox + conformance runs, load and chaos tests.
5. Progressive Delivery: 1% → 5% → 25% → 50% → 100% с guardrails (см. §7).
6. Go/No-Go: checklists, war-room on, stop buttons ready.
7. Changelog & Rollout Notes: detailed change register entry + public notes.
8. Post-Release Review: telemetry, RCA deviations, backup/cleaning feature flags.

6) Event Transport (API/Webhooks/EDA)

API (REST/gRPC): '/vN/events', cursors, 'Idempotency-Key', machine errors, pagination only cursive.
Webhooks: JWS/HMAC signature, 'kid', 'timestamp', 'traceId', exponential backoff + jitter, replay register.
EDA (bus): partitioning by 'eventId '/' traceId', exactly-once in business sense (consumer idempotency).
Tracing: W3C 'traceparent' from event to actual metrics and invoices.

7) Guardrails, SLOs and stop buttons

• Webhook delivery ≥ 99. 9%, p95 ≤ 1-2 s.
• API p95 ≤ 150–300 мс, error rate ≤ 0,3–0,5%.
• Bus: lag p95 ≤ 200-500 ms, delivery ≥ 99.9%.
• Showcases: freshness ≤ 1-5 s, p95 render ≤ 1.5-2.0 s.

• Δ CR payments in the cohort ≤ − X% at any rolling stage.
• RG triggers/1k active ≤ of the target corridor.
• Δ NetRev/DAU/ARPU out of corridor → auto-pause.
• Stop buttons: instant pause/rollback: 'traffic _ route', 'offer', 'content _ build', 'apm _ route', 'rgs _ flag', 'data _ formula'.

8) A/B and progressive inclusions

The experiment is framed as an event with a version and goals.
Rolling by stages (1→5→25→50→100%) with automatic guardrails checks at each stage.
Mandatory 'experimentId', 'bucket' and link to KPI/Scorecards.
Results and solution (promote/rollback) are published in changelog.

9) Changelog, Roadmap and Notifications

Changelog (WORM): unchangeable log for all events with'diff 'schemas/formulas and signatures.
Roadmap: статусы `Planned/In-Progress/Rolling Out/Live/Not-Now`.
Role mailings: operator/studiya/affiliat/PSP/KYC/streamers receive relevant notifications on geo / brendu / tsepi.
Public Notes: short release notes for external partners/community (without personal data/secret details).

10) Data oracles and provability

Signed summaries for key updates: impact on GGR/NetRev/CR/RG/SLO.
In each summary: 'formulaVersion', 'hash (inputs)', 'traceId', 'kid', window period.
Usage: Invoicing, Sanctions/Bonuses, Appeals, RCA.

11) Dashboards and operational review

Release panel (real-time): list of active events, rolling stage, transport SLO, business corridors, RG/SEC flags.
Effect of updates: Δ CR/FTD/ARPU/LTV/NetRev by cohort/market/chain.
Formula stability: monitoring of discrepancies between formula versions and fact (alerts).
SLA "trace package": ≤ 60-90 s for P1/P2 incident.

12) Security, privacy, compliance

Zero Trust: mTLS, short-lived tokens, egress-allow-list, key rotation/JWKS.
PII minimization: tokens instead of PDs; detoxification - only in safe zones.

ABAC/ReBAC/SoD: "I see only mine and agreed"; separation of roles "measure ≠ influence ≠ change."

DPIA/DPA for events affecting PD/localization/storage lines.
Jury Notices: Automatically issue notifications when market rules are affected.

13) Incidents, war-room and RCA

P1/P2 matrix and ready-made playbooks by event type.
War-room: chat/call call link, system statuses, on/off checklists, responsible duty officers.
RCA no blame game: facts/processes; Publish outputs and tasks to the backlog.
Post-mortem SLO: time to pause, to rollback, to stabilization, to post notes.

14) RACI (example)

15) Anti-patterns

"Two truths" by metrics/formulas and accession dates.
Offset pagination of history under load (cursors only).
Postback Zoo and unsigned webhooks → takes/holes/disputes.
Secret releases without changelog/roadmap and notifications.
SLO "on paper" without alerts and automatic stop buttons.
Export personal data to release notes/dashboards.
Exceptions without TTL/audit are sticky overrides.
No rollback plan and rehearsals DR/xaoc exercises.

16) Checklists

Design

• Ontology of events, Schema Registry, formula versions.
• Release Calendar: Green/yellow/red windows by market/chain.
• Guardrails и SLO; stop buttons and playout scripts.
• Data Contracts/Oracle format; WORM audit.
• Notification policies and distribution roles.
• DPIA/DPA for PD events.

Start

• Sandbox, conformance, load and chaos tests.
• Progressive rolling 1→5→25→50→100% with auto-pause logic.
• War-room is ready, duty roles are assigned.
• Changelog/Release Notes are designed in advance, tags in dashboards.

Operation

• Weekly review of events and effects → Roadmap.
• Monthly changelogs of formulas/schemes and guardrails review.
• Regular DR/xaoc exercises of gateways, tires, storefronts and the treasury.

17) Maturity Roadmap

v1 (Foundation): basic ontology of events, calendar, changelog, manual Go/No-Go and rollbacks.
v2 (Integration): progressive releases, automatic guardrails and stop buttons, data oracles, role-playing notifications.
v3 (Automation): predictive roll-up windows, ML risk hints, smart-reconciliation effects, note autogeneration.
v4 (Networked Governance): federated synchronization of events between chains, interchain oracles, formula DAO rules, and transparent treasuries.

18) Success metrics

Speed/predictability: share of releases in the planning window, average time from 'planned' to 'live'.
Quality/risk: MTTR release incidents, auto-pause/rollback share, dispute <X%.
Business effect: uplift/CR/FTD/ARPU/LTV/NetRev stability by event.
Compliance/RG: 0 PD leaks, DPIA/DPA compliance, RG triggers in the corridor.

Transparency: completeness of the changelog, time of publication of Release Notes, SLA "trace package."

Brief Summary

Ecosystem events and updates are not just a release calendar, but a trust protocol: a single ontology and versions, progressive inclusions with automatic guardrails, provable data (oracles), transparent changelog/roadmap and incident discipline. This framework makes change predictable, safe and measurable - and accelerates the growth of the entire network.