Slot Secrets - page №: 11
Analytics, Telemetry and Product Growth
Full analysis of telemetry in iGaming: what events to collect, how to build a data contract, real-time versus batch, attribution and LTV models, RG/AML signals, marketing fanel, QoS live streams, fraud scoring, ClickHouse/BigQuery + Kafka, privacy and anti-patterns. With examples of events and an implementation checklist.
Platform Architecture and Operations
Why do iGaming platforms need strict kernel versioning: money and betting risk management, integration compatibility, security and compliance, release speed without downtime. We analyze SemVer policy, contracts, schema migrations, backward compatibility, observability, anti-patterns and checklist.
Performance and frontend infrastructure
A practical guide to using CDN in iGaming: what and how to cache (lobbies, game assets, banners), edge logic and geo-routing, image and video optimization (LL-HLS), TLS/HTTP/3, Device Hints, anti-bot protection, purge strategies, metrics, anti-patterns and implementation checklist.
Localization and compliance
Full analysis of multilingualism in iGaming: locale strategy, i18n/L10n architecture, ICU placeholders and multiple forms, currencies/formats/timezones, SEO and geo-targeting, banner compliance and Responsible Gaming, translations of lobbies/games/cash desks/notifications, workflow translations, A/B and analytics, anti-patterns and checklist.
Releases, operation and reliability
Turn-based strategy for zero-downtime releases in iGaming: versions and contracts, CDN assets and cache-busting, blue-green and canary, non-idle migrations, wallet/ledger compatibility, live tables and RNG, telemetry and SLO, rollbacks, anti-patterns and readiness checklist.
Information Security and Compliance
Comprehensive API protection in iGaming: authentication and authorization, signatures and mTLS, protection against duplicates and duplicates, rate limiting and bot filters, circuit validation and canonicalization, PII encryption and tokenization, secure webhooks and checkout, logging and telemetry, test plan, anti-patterns and checklist.
Analytics, AI and product growth
Where and why iGaming uses AI: lobby and promo personalization, anti-fraud and AML/KYT, Responsible Gaming, dynamic limits, QoS live streams, demand forecasting, support and KYC, localization and translation, generative scenarios and secure guardrails. We analyze the data architecture, MLOps, quality metrics, risks and implementation checklist.
Analytics, AI and product growth
Behavioral analytics practices in AI-based iGaming: events and features, segmentation and embeddings, predictive models (churn/LTV/propensity), uplift and causality, RG/fraud signals, real-time personalization, MLOps and quality metrics, privacy and ethics. With examples of data contracts, anti-patterns and implementation checklist.
Analytics, Big Data and Forecasting
Forecasting practices in iGaming based on big data: what forecasts are built (traffic, demand for games, deposits, revenue, risks), data sources and quality, showcases and features, models (time series, causal, ML), uncertainty management, A/B and incrementality, MLOps, SLO/ROI, anti - patterns and checklist of implementation.
Analytics, AI and operational control
Real-time iGaming management practice using AI: streaming features and scoring ≤100 ms, orchestration of solutions (personalization, RG/fraud, cash register, QoS live), banding and secure RL, dynamic limits and routing, observability of models, guardrails and implementation checklist. With examples of events and contracts.
Platform, reliability and product growth
The technology platform determines everything: speed, money security, licenses, growth and player confidence. We analyze key domains (wallet and ledger, rates, cash desk, KYC/AML/RG), architecture, scaling and DR, API security, telemetry and analytics, AI and personalization, frontend/mobile UX, DevOps processes and culture. With a supervisor's checklist and anti-patterns.
Live Casino: Streaming, Rounds and Integrations
Live Casino technology analysis: studio and equipment, synchronization of bets with video stream, low latency protocols (WebRTC/LL-HLS), orchestration of rounds, integration with wallet and providers, anti-fraud and chat moderation, QoS metrics, scaling and DR, compliance (KYC/RG), launch checklist.
Live Casino: Media Stack and Gameplay Sync
Technical analysis of live streaming in iGaming: studio and encoding, low latency protocols (WebRTC/SRT/LL-HLS), synchronization of rounds and betting windows, data channels, QoS and telemetry, scaling edge nodes, security and compliance, fault tolerance and launch checklist.
Transparency, Trust, and Distributed Ledger Technologies
Let's analyze how DLT/blockchain increase confidence in iGaming: RNG provisioning fair (commits, VRF, merkly proofs), on-chain calculation of rounds and payments, auditability of transactions, oracles and stable coins, zk-privacy, L2-scaling, risks and anti-patterns. With example flows, metrics and implementation checklist.
Transparency and verifiable randomness
Analysis of the mechanics of Provably Fair (PF): commit/revil, VRF, player and server seats, nonce/roundId, selection and hashing, RNG mapping to the outcome without displacement, how the player manually check the round, how the operator can correctly implement PF (logging, WORM storage, anti-fraud), frequent errors, and a checklist.