Infrastructure and API
The infrastructure and API is the skeleton and nervous system of the Gamble Hub. At this level, the speed, reliability and manageability of the entire ecosystem is born. Here technology ceases to be a "background" and becomes an active part of business logic: every request, response and signal is built into the rhythm of the network.
Gamble Hub was originally created as an API platform, not as an "interface above the base." This means that all system logic is available through stable, documented, versioned access points, and the interfaces are only a reflection of the same protocols.
Key principles of the Gamble Hub architecture:1. API-first. All functions - from content management to financial transactions - are implemented through the API. This makes integrations predictable and the same for all network participants.
2. Microservice structure. Each component is independent: analytics, compliance, billing, reporting and distribution are scaled and updated separately.
3. Edge infrastructure. The nodes of the system are distributed by region, which minimizes delays and increases stability. Data and content are delivered from the nearest point of presence.
4. Service isolation. A single node error does not affect the entire system: microservices are autonomous, and data routes are rebuilt dynamically.
5. Contract compatibility. API versioning and strict data schemas ensure that any integration remains operational after updates.
The Gamble Hub infrastructure provides scale without fragmentation.
Horizontal expansion allows network members to grow without "moving" the platform. A new market, provider or operator is added as a new node to the existing architecture - without failures or data duplication.
- Manages request flows, priorities, and limits
- provides authentication and tokenization of access;
- Analyze delays, errors, and deviations
- collects telemetry for subsequent analytics.
Thanks to this, the API becomes not just a communication channel, but the main tool for control and observability. Any operation - be it changing RTP, updating the directory, transferring funds or creating a report - is recorded at the protocol level and is available for analysis.
The Gamble Hub infrastructure lives in three dimensions:- Technical - speed, fault tolerance, safety;
- Economic - predictable cost of operations and scalability of resources;
- Operational - integration, updates and real-time observability.
All this makes the API not a "developer tool," but the core of the interaction of the entire network.
It combines operators, studios, payment systems, analytical modules and external services into a single protocol.
Infrastructure and APIs are not just technology, but the language spoken by the entire Gamble Hub ecosystem.
It makes connections direct, actions instantaneous and growth manageable.
Gamble Hub is not a surface showcase, but a living technological organism, where each request is part of a single pulse of iGaming.
Key Topics
-
GRPC: binary protocols and performance
gRPC Practical Guide for High-Load iGaming/fintech Platforms: When to Choose gRPC over REST/GraphQL, Pattern and Evolution of Contracts (Protobuf), Streams and Bidirectional Communication, Deadlines/Retrays/Idempotency, Balancing and Consistent Hashes, Encryption (m TLS), observability (metrics/trails), gRPC-Web and gateways, Envoy/Ingress, message compression and sizes, anti-patterns and implementation checklists.
-
Webhooks and event idempotency
A practical guide to designing webhooks for iGaming/fintech: delivery agreements (at-least-once), signatures (HMAC/mTLS), replay protection, event envelope scheme, retrays and backoff, event _ id/Idempotency-Key dedup, error handling, DLQ/resubmission, monitoring (SLO), and UAT checklists. Pseudocode and minimum specifications for "sender" and "receiver" are included.
-
Sandboxes and test environments
Practical guide to designing sandbox- and test-environments for iGaming/fintech: environment levels (dev/test/stage/sandbox), data strategy (synthetics/depersonalization), PSP/KYC/AML/game provider simulators, webhooks and idempotency, feature flags and time-travel, CI/CD and promotion, SLO/observability, safe access for partners, UAT checklists and antipatterns.
-
Feature Flags and Release Management
Complete Feature Flags guide: flag types, architecture, targeting and segments, progressive rollout (canary/rings), kill-switch, security and compliance, reconciliations and audits, CI/CD/GitOps integration, metrics (DORA/SLO), anti-patterns and checklists. Examples for web/backend and iGaming/fintech workloads.
-
Logging and tracing events
A practical guide to logging and distributed tracing: JSON structure of logs, levels and cardinality, W3C Trace Context, correlation/baggage, link metrik↔treysov (Exemplars), collection and routing (Fluent Bit/Vector/OTel Collector), PII masking, retention and indexing, log alerts, audits, and business events. Checklists, anti-patterns, ready-made snippets for Node/Java/Python/NGINX/Kubernetes.
-
Database Sharding and Replication
Practical guide to horizontal database scaling: types of replication (synchronous/asynchronous/logical), read/write-split, lag control and read-after-write, sharding strategies (range/hash/consistent/directory), ID keys and generation, rebalancing and online overcharging, multi-region (leader/follower, quorum/Raft), vital tools (PgBouncer/Patroni, Orchestrator, Vitess/Citus), backups and PITRs, maturity metrics, and anti-patterns.
-
Replication and eventual consistency
A practical guide to replication and eventual consistency: types of consistency (read-your-writes, monotonic, causal), anti-entropy and replication mechanisms (synchronous/asynchronous, journal/logical, CDC), conflict detection and resolution (versioning, vector clock, CRDT/Last-Write-Wins), domain invariants, idempotence and deduplication, "no older than X" reading schemes, multi-region and network partitions, lag and SLO monitoring, implementation checklists, and anti-patterns.
-
Load testing and stress
Complete load testing guide: types (load/stress/spike/soak), open vs closed traffic model, user profiles and arrival rate, metrics (SLI/SLO, p95/p99, throughput, saturation), scenario design (data, think-time, correlation), bench infrastructure (isolation, load generators, observability), bottleneck search, and anti-patterns. Examples (k6/JMeter/Gatling/Locust), checklists, performance gates in CI/CD and performance budget.
-
Autoscaling and SLA Balance
A practical guide to SLA/SLO autoscaling: metrics and triggers (CPU/RAM, p95 latency, RPS, queue depth), open traffic model and Little's law, reactive vs predictive scale, HPA/VPA/KEDA/ASG/Serverless, pre-warm and burst buffers, level coordination (application/queues/DB), error budgets and "cost of nines," guards, anti-patterns, checklists and maturity metrics.
-
Event Architecture (EDA)
Event-Driven Architecture Practice Guide: Event Types (Domain/Integration/Technical), Delivery and Consistency Models, Topic/Queue Design, Contracts and Schema Versioning (Avro/Proto, CloudEvents), Outbox/Inbox, and CDC, Sagas and Orchestration, Conflict Handling and Idempotency, Observability, and SLO (lag/age/end-to-end latency), retention and replay, safety and GDPR, testing and maturity. Sample templates for Kafka/RabbitMQ and implementation checklists.
-
Error Handling and Status Codes
API Bug Design How-To: Unified Bug Format (Problem Details/JSON), Stable Status Codes and Retray Semantics, Idempotency, Business Logic Bug Mapping, Pagination/Partial Failure in Batches, Webhooks, gRPC/GraphQL Matches, Headers ('Retry-After', 'Idempotency-Key', 'Warning'), message security, observability, and prod-readiness checklist. With sample responses and anti-patterns.
-
Timeout и circuit control
A practical guide to managing delays and failures in distributed systems: timeout budgets and deadlines, types of timeouts (connect/TLS/handshake/read/write/idle), propagation cancellation, circuit breaker architecture (failure-rate/slow-call/consequential errors, half-open), adaptive concurrency/load shedding, interaction with retraces, rate limits and idempotency. With examples of configs (Envoy/NGINX/gRPC/HTTP clients), metrics, testing and a prod-readiness checklist.
-
WAF and injection protection
A practical guide to designing, tuning and operating WAF to protect API from injection: attack models (SQLi/NoSQLi/Command/XXE/SSRF/Deserialization/Template/LDAP/GraphQL/Proto-pollution), parsing and normalization, positive and negative models, OWASP CRS, virtual patching, type/size/circuit control, anti-obfuscation, rate-limits/bot filters, observability, and A/B handlebars. With examples of configs (ModSecurity/NGINX, Envoy/WASM, APISIX/Kong) and a check list of prod-readiness.
-
API lining and static analysis
A practical guide to linking and static analysis of API contracts and implementation: OpenAPI/Protobuf/GraphQL style rules, semantic diff and breaking change detecta, unification of errors and status codes, security (OAuth2/JWT/mTLS/Scopes), pagination/filters/limits, notation and versioning, CI-pipelines (pre-commit → PR-gate → release), integration with code linters (ESLint/golangci-lint/Detekt) and Semgrep. With examples of Spectral/Redocly rules, buf/protolint, error schemes, and prod-readiness checklist.
-
Cloud cost optimization
Step-by-step FinOps guide: metrics and unit economics (Cost/Req, Cost/Tenant, COGS), architectural levers (correct dimensions, auto-scaling, Spot/Preemptible, RI/CUD/Savings Plans), storage (classes, lifecycles), network and egress (CDN/edge, private channels), Kubernetes/Serverless-economy (requests/limits, VPA/Karpenter, tail-tracing), logging/observability (sampling, retentions), budgeting and alerts, policies like code and tagging. Separately - the specifics of iGaming/finance: PSP commissions, KYC/AML vendors, "money paths" and GGR.
-
Incidents and SRE playbooks
Complete practical incident management guide: SEV levels and SLO criteria, on-call and roles (IC, Ops Lead, Comms), "war-room" protocol, communication channels, investigation and stabilization, playbooks/ranbooks and their automation, quality checklists, post-mortems without charges, Legal Hold and regulatory notifications. Includes ready-made templates and typical playbooks (API 5xx, DB lag, Kafka-lag, K8s NodeNotReady, expired certificates, DDoS, PSP-outage, data leak).
-
SLA, SLO and Reliability KPI
A step-by-step guide to formalizing reliability: SLA/SLO/SLI/KPI differences, selection of metrics (Golden Signals), calculation of availability and erroneous budget, burn-rate and alert, end-to-end examples for APIs, payments, databases and queues, as well as templates for contractual SLAs and internal reporting. Included are formulas, PromQL requests, checklists, and implementation plan.
-
Monetizing API and rate plans
API monetization how-to guide: pricing models (freemium, tiered, pay-as-you-go), rate plans design, quotas and limits (RPS/credits), metered billing, client/key/tenant limits, anti-abuse and security, revenue reporting and analytics, SLAs and legal aspects Includes config templates (Kong/Tyk/AWS API GW), metering schemes, Stripe/Braintree integration and launch checklists.
-
Uptime Reports and SLA Audits
A complete guide to building an availability reporting process: SLA/SLO/SLI definitions and boundaries, sources of truth (synthetics, logs, business events), uptime calculation techniques, exception rules and window maintenance, multi-region quorum, audit trail and Legal Hold, status page reconciliation, SLA credits and debatable cases. Included are formulas, PromQL/SQL examples, report templates, quality checklists, and implementation plan.