Content streams on the network

(Section: Ecosystem and Network)

1) Essence and goals

• Low latency and stable UX at peaks.
• Predictability through QoS/quotas, SLI/SLO, and observability.
• Compatibility and downtime-free versions.
• Security, compliance and cost per unit of traffic.

2) Flow taxonomy

1. On-Demand (pull) - the client requests assets/manifests by hash URL.
2. Push/Invalidate - updates/disabled caches and subscriptions (webhooks).
3. Streaming - long channels (WebSocket/gRPC) for lobby/jackpots/live events.
4. Batch/Scheduled - scheduled uploads of catalogs, locales, reports.
5. Side-band Telemetry - events/metrics/trails that do not interfere with the main UX.
6. Control-Plane - phicheflags, residency rules, sanctions/DRM lists.

Each type receives its own QoS classes, channels, and retray policy.

3) Roles, nodes and trajectories

Producer of content (studio) → aggregator/register → operator → CDN/edge → client.
Service nodes: localization, DRM/rules, payment/jackpot services, anti-fraud, monitoring.
Repositories: manifest registry, SDK versions, media object storage, telemetry TSDB.

Typical trajectory: the client requests a manifest → selects assets by device/locale profile → CDN/edge returns from the cache; in parallel, stream lobbies/jackpots open, and telemetry goes side-band.

4) Transport and formats

HTTP/2/3 for assets and manifests (TLS, Brotli/Gzip, range).
gRPC/QUIC/WebSocket - bidirectional event/state streams.
Webhooks - partner subscriptions to changes (disabled people, content updates).
Manifests (JSON/YAML) with hash addressing (immutable URL), asset list and compatibility matrix (language/browser/SDK).
Content hashes (Merkle/sha256) for integrity and cachability.

5) QoS, quotas and backpressure

• P0 - critical UX (manifest, game core, wallet, rules),
• P1 - main assets/UI and streams,
• P2 - high-density media, diagnostics, archive.
• Quotas: RPS/competitive, bytes/sec, subscriptions/client.
• Backpressure: tokens/credits, subscription limit, "heavy-query guard" (ranges/filters), queues with DLQ.
• Prioritization: separate queues/clusters for P0/P1/P2, selection of the "cache only" route in case of accidents.

6) Routing and caching

GeoDNS/Anycast + Latency-Aware LB - always to the nearest healthy hub.
Caches: edge (short HTML TTL, long asset TTL), negative cache, prewarm for canaries.
Variants of assets: AVIF/WebP/bitrate stairs, device hints (angle/pixel density).
Hash-URL: strict cachability, atomic releases, hash rollbacks.

yaml cdn:
ttl:
html: 60s manifest: 5m assets: 30d immutable_assets: true vary:
- "Accept-Encoding"
- "User-Agent-Class"  # mobile/desktop/legacy signed_urls: true

7) Consistency, order and versions

Manifest → assets model: Clients subscribe to the vX manifest. Y.Z ', assets - immutable.
Event-ordering: important events (jackpots, live signals) - within the key/channel.
SemVer versioning and "two lines" (GA and Canary). Deprecation ≥ 90 days.
Downtime-free migrations: blue-green, compatible fields in manifestos, client ficheflags.

8) Observability: SLI/SLO and signals

• TTI/TTL p95 (page/game),
• Asset Fetch Success%, CDN Hit%,
• Stream RTT p95 и Reconnect Rate,
• Manifest Drift (clients on legacy versions),
• Error Rate (JS/WASM/SDK),
• Geo-Hit Ratio (locally serviced requests),
• Cost per 1k asset fetches (CTS).

• TTI p95 ≤ 2. 5s (Wi-Fi) / ≤ 4. 0s (mobile),
• Asset success ≥ 99. 8%, CDN hit ≥ 90%,
• Stream RTT p95 ≤ 300 ms in the region,
• Manifest drift ≤ 1% in 24 hours according to GA,
• Error rate ≤ 0. 4%.

Telemetry: latency histograms, bundle sizes, drop/retry webhooks, stream load, crash-free rate.

9) Safety and security

mTLS between services webhook signatures (HMAC, valid time window).
DRM/anti-tamper: integrity checks, CSP/Referrer-Policy, domain allow lists.
Anti-bot/anti-scraping: rate-limits, behavioral signals, JA3/FP, puzzle challenges, "soft" bans.
PII-minimization: lack of personal data in labels/logs/manifestos.
Residency: Media/locale export rules by region/jurisdiction.

10) Degradation modes

Cache-Only for assets and "finalized-only" for streams.
Lite manifest (minimal assets, disabled video/animation).
Graceful fallback on previous GA manifesto.
Read-only for non-critical functions, disabling "expensive" requests.

11) Releases and canaries

Release windows: weekdays, "clean" hours of the region/cluster.
Canary 5% traffic/ ≥ 120 min; SLO gates (TTI/errors/RTT).
Rollback is atomic (by hash/version), without breaking sessions.
Prewarm CDN for hot regions and popular games.

yaml release:
canary:
share_pct: 5 min_duration_min: 120 gates:
tti_p95_ms: 2500 error_rate_pct: 0. 4 rollback:
auto_on: ["slo_breach","crash_rate>0. 6"]
target: "previous_ga"

12) Data and catalogs

Manifest directory

sql
CREATE TABLE manifests (
game_id TEXT,
version TEXT,
region TEXT,
status TEXT,     -- canary    ga    deprecated asset_root TEXT,   -- CDN prefix content_hash TEXT,  -- Merkle/sha256 sdk_min TEXT,
created_at TIMESTAMPTZ,
PRIMARY KEY (game_id, version, region)
);

Asset Sample Logs

sql
CREATE TABLE asset_fetch_log (
ts TIMESTAMPTZ,
region TEXT,
game_id TEXT, version TEXT,
path TEXT, bytes INT,
status SMALLINT,
latency_ms INT,
served_from TEXT    -- edge    origin    cache
);

Stream metrics

sql
CREATE TABLE stream_metrics (
ts TIMESTAMPTZ, region TEXT, channel TEXT,
rtt_p95_ms INT, reconnect_rate NUMERIC,
subscribers INT, drops INT
);

13) Routing/caching policies

yaml routing:
prefer_local: true fallback_chain: [nearest_healthy, master_hub]
qos:
P0: { rps_per_org: 1500, ack_timeout_ms: 2000, retries: 3 }
P1: { rps_per_org: 800 }
P2: { rps_per_org: 200, best_effort: true }
heavy_query_guard:
deny: ["logs>5000blocks","media_raw>200MB"]
require_token: true cache_policy:
manifest_ttl: "5m"
asset_ttl: "30d"
negative_ttl: "30s"
prewarm:
regions: ["eu","uk","na"]
top_games: 50

14) Dashboards

Content Flow Core: TTI/TTL, Asset success, CDN hit, Drift, Error rate.
Streaming: RTT p95, reconnect, drops, subscribers/channel.
Routing & QoS: per-class latency/RPS, queue-lag, throttle hits.
Economy: CTS/1k fetches, traffic/region, $/GB, TPS_per_$.
Compliance/Security: CSP violations, webhook signatures, export by region.

15) Playbook incidents

A. TTI/TTL p95 growth

1. Switch to cache-only and lite-manifest; 2) turn on prewarm/compression;

2. Increase edge/API replicas 4) analysis of heavy assets, temporarily turn off.

B. CDN hit drop

1. Check TTL/variability; 2) enable prewarm and hash-URL;

2. combine assets (bundling), optimize pictures/videos.

C. Reconnect peaks in streams

1. Localization of problem regions; 2) limit subscriptions/channels;

2. increase buffers/ping; 4) temporarily reduce the frequency of updates.

D. WASM/JS Bulk Errors

1. Kill-switch of the problematic version; 2) rollback to N-1;

2. collection of traces/stacks; 4) hotfix, post-mortem and test cases.

E. Violation of export residency

1. Interregional replication unit; 2) redaction;

2. notify Compliance; 4) update rules/tests.

16) Implementation checklist

1. Fix the stream model (pull/push/stream/batch) and QoS classes.
2. Enter manifests and hash addressing of assets, configure CDN and prewarm.
3. Configure routing (GeoDNS/Anycast), caches and heavy-query guard.
4. Define SLI/SLO, enable telemetry (TTI/asset success/stream RTT).
5. Enable security (mTLS, signed webhooks, DRM, CSP).
6. Organize releases (canary, hash rollbacks), degradation modes.
7. Build Core/Streaming/Routing/Cost/Compliance dashboards.
8. Regularly conduct chaos tests: CDN dips, high RTT, loss/jitter.

17) Glossary

TTI/TTL - time to interactivity/full download.
Geo-Hit Ratio - the proportion of requests served locally.
Immutable URL - hash addressing that guarantees integrity/cacheability.
Backpressure - input load control mechanisms.
DLQ - "dead queue" for problem messages.
Drift - the share of clients on irrelevant manifestos.
CTS per 1k fetches - cost of 1000 samples of assets.

Bottom line: "Content streams" are not just CDNs and files, but a managed system of routes, QoS, versions and observability. Standardized manifests, hash addressing, canary releases and strict SLOs give predictable UX, and degradation modes and anti-abuse give ecosystem stability under load and in case of failures.