Technology and Infrastructure
Technology and infrastructure are the heart and mainstay of the Gamble Hub.
It is here that the sustainability, scale and rhythm of the entire ecosystem is born.
Every data stream, every API call, every operation within the platform relies on an architecture designed not for the sake of fashion, but for the sake of discipline and reliability.
Gamble Hub doesn't just use technology - it builds it around the idea of manageable complexity.
Instead of a centralized "monolithic" system, there is a microservice architecture, where each component is autonomous, but connected by common protocols. This gives flexibility of updates, ease of scaling and stability when the load increases.
1. Microservices and independence. Each module - analytics, compliance, payments, reporting, content - lives and is updated separately, maintaining common data standards.
2. API-first and contract compatibility. All operations, from registration to RTP management, are available through unified, documented and versioned API endpoints.
3. Edge infrastructure. The system nodes are distributed across key regions: data and content are delivered from the nearest point of presence, minimizing delays and providing world-class SLAs.
4. Balancing and fault tolerance. Requests are routed dynamically, and services automatically redistribute the load in case of failures or peak calls.
5. CI/CD and DevOps rhythm. New features, fixes and improvements come out without stopping the system: continuous integration makes platform development a constant process.
6. Observability and monitoring. Built-in telemetry, logging and tracing tools allow you to see through the system and react before the incident, not after.
Gamble Hub is building infrastructure where scale is not a threat to stability, but its consequence.
The more participants and data in the system, the more accurate its models, stable flows and smarter routes.
- network layer - routing, security, API gateways;
- logical layer - business rules, metrics, protocols;
- data and storage - distributed databases, caches, replication;
- intelligent layer - analytics, ML models, solution automation.
This structure makes the Gamble Hub a self-tuning system where performance increases with load rather than drops due to it.
Technology is not hidden here - it is transparent and manageable.
The operator sees its processes, the developer understands the data outline, the studio controls distribution, and the partner sees a transparent economy.
Technology and infrastructure is not behind the scenes, but the stage on which trust in the platform is built.
Gamble Hub turns engineering complexity into a predictable rhythm, where reliability is not a promise, but a property of the system.
That is why the technological core becomes not the background, but the engine of the entire ecosystem.
Key Topics
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Load balancing
Practical guide to load balancing in iGaming: L4/L7 algorithms (RR/LC/Power-of-Two/CH/Maglev), health-checks and outlier-ejection, sticky sessions and canary weights, global traffic (Anycast/GSLB/GeoDNS), TLS/HTTP2/gRPC/WebSocket/QUIC, autoscaling and drain, overload protection (rate-limit, backpressure, adaptive concurrency), database/cache/event bus balancing, observability and SLO, checklists, anti-patterns, configuration examples (ALB/NLB Nginx/HAProxy/Envoy/K8s/AWS).
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Microservice architecture
A practical guide to the design and operation of microservices: boundaries by domain (DDD), synchronous/asynchronous communications, API contracts and versioning, events and sagas, idempotency and queues, data consistency, security and compliance, observability (log/metrics/trails), releases (CI/CD, canary/blue-green), performance and cost. With checklists, anti-patterns, SLO metrics and templates for payments, KYC, bonuses and tournaments.
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Edge-computing в iGaming
A practical guide to Edge architecture for iGaming: CDN and edge functions, geo-routing, personalization of the lobby at the edge, cache and pre-render, anti-bot/WAF, A/B and feature-flags, telemetry and experiments, geo-compliance and data storage, real-time (WS/SSE/WebRTC) and live content. With patterns, checklists, metrics, anti-patterns and examples of secure payment integration/CUS.
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DevOps practices and CI/CD
Full DevOps and CI/CD guide for iGaming: branching and environment strategy, test pyramids and quality, secure supply chain (SBOM, signatures, SLSA), GitOps and IaC, secrets and policies, progressive depleys (canary/blue-green), DB migrations (expand-and-contract), observability and SLO, incidents and post-mortems, DORA metrics, and FinOps. With checklists, anti-patterns, YAML example pipeline and industry nuances (payments, KYC, tournament peaks, regional isolation).
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API versioning
A practical guide to API versioning for high-load platforms: models (URIs, headers, media types), SemVer, depriction policy and EOL, backward/forward compatibility, contract testing, API gateway routing, observability by version, migration and anti-patterns. Examples for REST, GraphQL, gRPC and event APIs in the context of iGaming/fintech.
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Integration tools
System overview of integration tools and practices for high-load platforms: API gateways, specifications (OpenAPI/gRPC/GraphQL), SDK and code generation, contract testing and mock services, iPaaS/ESB and message brokers, ETL/ELT and CDC, Schema Registry, webhook signature, idempotency and retrai, observability of integrations, partner devportal and onboarding process. Examples and checklists focused on iGaming/fintech.
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Cloud Architecture and SLAs
A practical guide to building a cloud architecture for strict SLA/SLOs: multi-zone and multi-region, asset-asset/asset-liability, RTO/RPO, SLI on latency and errors, antifragile patterns, DR strategies, fault tolerance testing, FinOps and cost optimization, security and compliance. Checklists, metrics and examples for iGaming/fintech platforms.
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Hybrid cloud and interoperability
A practical guide to designing a hybrid architecture: network models (VPN/Direct Connect), identity federation, data and service routing, replication and caching, security and compliance, CI/CD and GitOps between loops, observability and SLO, DR strategies, FinOps and cost control. Examples and checklists for iGaming/fintech.
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Docker Compose and Dev environment
Complete design guide for local environments with Docker Compose: project structure, networks and volumes, profiles and overrides, secrets and variables, hot-reload, databases and brokers, siding and migrations, reverse proxy and TLS, test doubles of external services, assembly acceleration (BuildKit, multi-stage), Makefile/Devcontainers, parallel task stands and CIs. Practice for iGaming/fintech (PSP/KYC mock hubs, queues, CDC).
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CDNs and content caching
Complete CDN layer and caching design guide for high-load platforms: TTL/ETag/Cache-Control strategies, cache key and Vary, edge rules and functions, image/video optimization, origin shield and tiered caching, purge/disability, protection and tokens, observability and SLO Practice and checklists for iGaming/fintech (tournaments, game catalogs, webhooks, geo-restrictions).
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Cache levels and data storage
Complete caching guide: levels (browser/CDN/edge/app/db), patterns (cache-aside, read/write-through, write-back), TTL and disability, keys and segmentation, fighting stampede and hot keys, consistency, serialization and compression, observability and FinOps. Practice and checklists for iGaming/fintech.
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Elasticsearch and Full-Text Search
A practical guide to search design on Elasticsearch: analyzers and morphology, mappings and normalization, BM25 and hybrid (BM25 + vectors), autocomplete and hints, multilingualism and synonyms, aggregations and facets, shardings and ILM, snapshots, safety and PII, observability and SLO, FinOps Examples of schemes and queries for iGaming/fintech (search for games/providers/promo, KYC/AML logs, content and transaction logs).
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Event-Streaming and real-time data
A practical guide to building real-time data streams on the iGaming platform: Lambda/Kappa architectures, Kafka/Flink/ksqlDB, CDC and outbox, windows and watermark, exactly-once, backpressure, feature store, monitoring and SLO, security and DR.
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Database Sharding and Replication
Practical guide for designing sharding and replication for high-load iGaming platforms: models (leader/follower, multi-leader, consensus), sync/asynchron, PACELC, choice of keys and sharding strategies, cross-shard transactions (2PC/saga), hot keys, online resharding, backups/PITR, RPO/RTO, observability, and antipatterns.
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MySQL clusters and replication
MySQL 8 Field Design Guide for High Load iGaming Platform: Replication Types (async/semi-sync), GTID/ROW-binlog, Group Replication and InnoDB Cluster/ClusterSet, Proxy Layer (ProxySQL/My SQL Router), parallel application, read-after-write policy, backups/PITR, InnoDB/WAL tuning, monitoring, security and antipatterns.
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MongoDB and flexible data schemas
A practical guide to using MongoDB on iGaming platforms: flexible circuit design (JSON/BSON), validation and evolution, pipeline aggregation, indexes (B-Tree, TTL, compound, partial), transactions and idempotence, sharding and key selection, Change Streams/CDC, security, backups and SLO.
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Data Stores and OLAP Models
A practical guide to DWH design for iGaming: Star/Snowflake/Data Vault, Lake/Lakehouse and Medallion, ETL/ELT and CDC, SCD types, semantic layer and metrics, partitioning/clustering, materialized views, tuning under p95/p99, cost control, safety, DQ/lineage and DR..
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Analytics and ETL pipelines
A practical guide to building analytical pipelines for iGaming: ETL vs ELT, batch/stream and Medallion layers, CDC and outbox, orchestration (DAGs, deploy, observability), DQ/lineage, SCD types, incremental models (dbt), partitioning/clustering, backfill and reprocessing, security/PII, SLO, and cost control.
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Data Lake and centralized storage
Data Lake/Lakehouse Practical Design Guide for iGaming: Medallion Model (Bronze/Silver/Gold), Open Tabular Formats (Parquet, Delta, Iceberg, Hudi), Schematics and Evolution, Catalog/Metastor, Partitioning and lay-out, Streaming and CDC, DQ/lineage, security/PII/multi-tenancy, storage classes and DR, fighting "small files," cost optimization and SLO.
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AI infrastructure and GPU pools
Practical guide to building an AI infrastructure for iGaming: GPU clusters and pools, K8s/Slurm planning, MIG/MPS, NCCL/RDMA/NVLink, storage and phichester, vector databases, Triton/KServe/vLLM, quantization/compilation (INT8/FP8, TensorRT), butching and KV cache, multi-regional fault tolerance, security/PII, MLOps (CI/CD, model register), TCO monitoring and optimization (reserved/spot, auto-scale, Qo S/quotas).
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Automation tools
Practical guide for selecting and implementing automation tools in iGaming: CI/CD pipelines, infrastructure as code (Terraform/Helm), configuration management (Ansible), task and data orchestration (Airflow/DAG orchestrators), secrets and Policy-as-Code, ChatOps, SRE/incident automation, FinOps and cost control, testing/quality, release templates, and antipatterns.
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GitLab CI/CD for iGaming projects
A practical guide to GitLab CI/CD in iGaming: architecture (Self-Managed/SaaS), runners and auto-scale in K8s, declarative pipelines ('stages', 'rules', 'needs', parent/child), cache/artifacts/matrices, environments and Review Apps, progressive delivery (canary/blue-green), security (SAST/DAST/SBOM/secret scan), secret and rights management, Terraform/IaC, GitOps, observability, FinOps and antipatterns. With examples of '.gitlab-ci. yml`.
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Assembly optimization and caching
Assembly acceleration engineering practices: Docker and BuildKit layer cache, remote-cache (Bazel/Gradle/Nx/Turborepo), ccache/sccache, artifacts and dependency-cache, determinism and tightness of assemblies, disability strategies, matrices and incremental builds, hit-rate/heat metrics and FinOps effects. Examples for GitHub Actions, GitLab CI, and Jenkins.
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Alerting and Failure Response
A practical guide to building alert and response in iGaming: prioritization of incidents (Severity/Impact/Urgency), SLI/SLO and error budget, multi-window burn-rate, duty and escalation, noise cancellation and deduplication, ChatOps and status communications, runbooks and post-incident improvement cycle. Ready-made patterns for Prometheus/Alertmanager/Grafana, examples of rules and checklists.
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Chaos Engineering: System Resilience
A practical guide to chaos engineering for iGaming: how to formulate hypotheses, choose steady-state metrics (SLO/business KPI), limit blast radius, conduct experiments in Kubernetes/cloud (network/CPU/memory/disk/queues/PSP/game providers/multi-region), automate checks, enter guardrails and abort criteria. Examples of manifestos, game-day scripts, maturity checklists and anti-patterns.
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Security layers in infrastructure
A practical guide to layered security of iGaming platforms: network segmentation and Zero Trust, IAM/MFA/JIT access, secrets and encryption (KMS/HSM), Kubernetes and container security, supply-chain (SBOM/signatures), CI protected pipelines/CD, edge protection (WAF/DDoS/bot management), data security (PII/PCI DSS), monitoring/telemetry/anti-fraud and incident preparedness. Checklists, YAML/policies and anti-patterns are included.
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Firewall and traffic filtering
System approach to network security iGaming: perimeter and cloud firewalls (L3-L4), Kubernetes NetworkPolicy and service mesh, egress-allowlist to PSP/game providers, WAF/bot management/DDoS, TLS/mTLS, geo/ASN filters, rate-limit, DNS control, auditing and observability. Examples of rules (iptables/nftables, SG/NACL, NetworkPolicy, NGINX + ModSecurity), checklists, and anti-patterns.
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Zero Trust Architecture
A practical guide to building Zero Trust, from the basic principles of "trust no one, verify always" to policy design, microsegmentation, mTLS, ZTNA/SDP, device and user context assessment, and migration from classic VPNs to app access with measurable SLOs.
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Web Application Firewall and protection against attacks
A practical guide to WAF/WAAP: from positive/negative security models and virtual patches to anti-bot, L7 DDoS control, API/GraphQL protection and downloads, CI/CD rule testing processes, telemetry and SLO. Examples for ModSecurity/OWASP CRS, AWS WAF, Cloudflare, NGINX App Protect and tips for iGaming/fintech.
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Vulnerability scanning and patches
Practical guide to vulnerability management: SCA/SAST/DAST/IAST/Canter and cloud scanners, CVSS/EPSS and context prioritization, OS/container patch management/Kubernetes, automation via CI/CD, windows and canaries, SLO metrics and playbooks of incidents. Accents for iGaming/fintech.
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Safety and compliance certificates
Field guide for selecting and obtaining security certificates: ISO 27001/27701/22301, SOC 2 Type I/II, PCI DSS, CSA STAR. How to identify a scope, prepare an evidence base, automate control, pass an audit without downtime and maintain "constant readiness." Checklists, control matching matrices, artifacts, and SLO metrics. Accents for cloud, Kubernetes and iGaming/fintech.
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GPU nodes and ML calculations
A practical guide to building a GPU stack: choosing hardware (HBM/PCIe/NVLink/InfiniBand), topology and BIOS tuning, drivers/CUDA/cuDNN, Kubernetes (NVIDIA Operator, Device Plugin, MIG, time-slicing), distributed learning (DDP/FSDP/ZeRO), mixed precision (AMP/FP8), checkpoints, inference optimization (Triton/vLLM/kv-cache/quantification), DCGM telemetry, SLO and alerting, traffic/tenant isolation, and FinOps (spot/reserves/autoscaling). Accents for iGaming/fintech loads: anti-fraud, recommendations, RAG chatbots.
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Storage and NAS
Practical guide for choosing and operating storage: DAS/SAN/NAS/object, protocols (NFS/SMB/iSCSI/S3), RAID/ZFS/erasure coding, snapshots and replication, caching and ticking, monitoring and SLO, backups and DR, security and multi-lease. Checklists, minimum configs and recommendations for iGaming/fintech.
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DNS Management and Routing
DNS Management How-To Guide: Authoritative/Recursive Resolvers, Record Types (A/AAAA/CNAME/TXT/SRV/CAA/NS/DS), TTL and Caching, Anycast and Geo-Distribution, Routing Policies (failover, weighted, latency/geo), split-horizon and private DNS, DNSSEC/CAA, DoT/DoH, DDoS protection and takeover. IaC approach (Terraform, ExternalDNS), SLO/metrics, checklists and runbook-and. Accents for iGaming/fintech: low latency, sustained provider/PSP issuance, fast domain switch and whitelisting.
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SSL termination and balancers
A practical guide to TLS terminators and traffic balancing: L4/L7 selection (NLB/ALB/Envoy/HAProxy/Nginx/Cloudflare), certificate chains (RSA/ECDSA), HTTP/2/3 (QUIC), ALPN, OCSP Stapling, HSTS, mTLS, sessions and 0-RTT, SNI/ECH, sticky sessions, health-checks, canary releases, and blue-green. Observability, SLO by p95/errors, checklists and typical configs. Accents for iGaming/fintech (low p95, antifrod/bot filters, gray oxen).
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Edge nodes and points of presence
Edge/PoP Design and Operations Practice Guide: Latency Goals and Metrics, Topology Options (CDN/Reverse-proxy/Service-edge), Anycast and Geo-DNS, Caching and Disability, Compute-on-Edge (WAF, rate-limit, Features/Workers), Durability, and auto-switch, logging/metrics/trails, FinOps and channel procurement. Checklists, DR playbooks and iGaming/fintech specifics.
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Proxy layers and reverse routing
A practical guide to designing proxy layers: forward vs reverse proxy, Edge/Ingress/API-gateway/Service-mesh, routing algorithms (host/path/header/geo/latency/consistent-hash), URL/header rewriting, authentication (mTLS/JWT/OA uth2), cache and rate-limit, retrays/timeouts/circuit-breaker, traffic mirroring, sticky sessions, WebSocket/gRPC/HTTP/2/3. Observability, SLO and playbooks DR. Accents for iGaming/fintech.
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Benchmarking and performance comparison
Practical benchmark guide: goals and hypotheses, correct metrics (latency p95/p99, throughput, cost-per-X), experiment design (A/B, DoE), variable control (CPU governor, NUMA, C-states, thermotrotting), cold/warm cache, pipeline runs, statistical significance, and confidence intervals. Micro/meso / makro-benchmarki for CPU/GPU/памяти/диска/сети/БД/кэшей, profiling, the reporting and anti-patterns. Specificity for iGaming/fintech: peaks, PSP, anti-fraud and millisecond cost.
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Resource Planner and Auto-Scaling
A practical guide to planning and automatic scaling: query/limit model and QoS classes, priorities and preemption, affinity/mystery, bins and NUMA/topology, horizontal/vertical/cluster auto-scaling (HPA/VPA/Cluster Autoscaler/KEDA), queues and consumers, warm pools, predictive policies, and anti-flapping. Observability, SLO and FinOps approach. Specificity of iGaming/fintech and checklists.
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Optimize infrastructure spending
A practical guide to reducing costs without losing SLO: financial metrics (unit-economics, $/1000 RPS, $/ms p95, TCO), inventory and tagging, rightsizing and auto-scaling, discounts (Reserved/Savings/Committed Use), spot/premptible, storage optimization and network traffic, caches and CDNs, cost of logs/trails, "economical" API and data design, database/cluster selection, DR/reserves, processes and playbooks. Checklists, formulas, examples of cheap configs. Accents for iGaming/fintech.
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Sandboxes and test environments
Practical guide to the design and operation of sandboxes and test environments for iGaming platforms: hierarchy of environments (Dev/QA/Stage/Prod), "ephemeral" preview of the environment for each PR, provider contracts and simulators, test data and anonymization (GDPR/PCI), observation and SLO, policy secrets, load profiles and chaos tests. Maturity checklists, templates, sample configurations.
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Staging pipelines and releases
A practical guide to designing staging pipelines and release processes: rolling strategies (canary/blue-green), change control (CAB/RFC), gates and quality checks, database migrations, rollback policies, feature flags, supply chain security (SBOM/signatures/SLSA), observability, release calendar and SLO. Maturity checklists and examples of CI/CD configurations.
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Process Roadmap
Technology roadmap methodology and template for iGaming platform: H1/H2/H3 horizons, Now/Next/Later, quarterly goals (OKR), prioritization (RICE/WSJF), dependencies and risks, resource plan, budget/FinOps, compliance, safety, observability, data/ML, payments, Dev Ex/IDP, scaling and fault tolerance. Included are maturity checklists, an example of a 12-month quarterly plan, RACI, release readiness artifacts, and a deprivation strategy.