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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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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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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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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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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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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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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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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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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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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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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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.