Designing a Crypto Payment Gateway Architecture

We design and develop full-cycle blockchain solutions: from smart contract architecture to launching DeFi protocols, NFT marketplaces and crypto exchanges. Security audits, tokenomics, integration with existing infrastructure.
Showing 1 of 1All 1305 services
Designing a Crypto Payment Gateway Architecture
Complex
~5 days
Frequently Asked Questions

Blockchain Development Services

Blockchain Development Stages

Latest works

  • image_website-b2b-advance_0.webp
    B2B ADVANCE company website development
    1358
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1251
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    957
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1188
  • image_logo-advance_0.webp
    B2B Advance company logo design
    646
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    929

When building a crypto payment gateway, developers uncover non-obvious problems. Blockchain reorganizations can cancel transactions that were already considered confirmed. Wrong key storage model—and security is compromised. Lack of connector architecture with circuit breakers leads to SLA drops. In practice, one client lost $200k due to a reorg—we accounted for that in our architecture. Designing before writing code saves months of rework, and solid documentation forms the foundation for scaling. We bring 10+ years of blockchain development and 50+ implemented fintech projects. We build gateways that handle up to 10,000 transactions per hour. We'll assess your project in one day—get in touch.

How to Choose Between Custodial and Non-Custodial Schemes?

Before drawing diagrams, you need to answer questions that determine everything else. Compare both approaches:

Characteristic Custodial Non-Custodial
Key control Gateway manages client keys Merchant manages keys, gateway only monitors
Legal responsibility High, requires data processing license Low, license not required
Architecture complexity Maximum—HSM/KMS, signing service, compliance Minimum—only blockchain monitoring
Time to launch Months (license, audit) Weeks

Choose a custodial scheme if you need full control over user funds and are ready for regulatory requirements. Choose non-custodial if the merchant wants to manage risks themselves and the gateway only ensures payment confirmation.

Fundamental Requirements

Network selection determines infrastructure. Bitcoin's UTXO model is incompatible with the EVM account model. TON has its own VM. Each network adds operational load.

Settlement model: does the merchant receive crypto as-is, or does the gateway convert to fiat? Conversion introduces exchange rate risk and requires exchange/OTC integration.

Volume and SLA: 100 transactions/day vs 100,000 require different architectures. SLA 99.9% (8.7 hours downtime/year) vs 99.99% (52 minutes/year) are fundamentally different redundancy requirements.

Component Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Merchant-facing API                       │
│              REST / Webhooks / SDK libraries               │
└───────────────────────┬─────────────────────────────────────┘
                        │
┌───────────────────────▼─────────────────────────────────────┐
│                    Core Services                             │
│                                                             │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │Invoice Service│  │Address Alloc │  │ Exchange Rate    │  │
│  │(create/query) │  │(HD wallet    │  │ Service          │  │
│  └──────────────┘  │ derivation)  │  └──────────────────┘  │
│                    └──────────────┘                         │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │Confirmation  │  │Settlement    │  │ Notification     │  │
│  │Tracker       │  │Service       │  │ Service          │  │
│  └──────────────┘  └──────────────┘  └──────────────────┘  │
└───────────┬──────────────────────────────────┬──────────────┘
            │                                  │
┌───────────▼──────────┐          ┌────────────▼──────────────┐
│   Blockchain Layer   │          │       Data Layer           │
│                      │          │                            │
│  BTC Connector       │          │  PostgreSQL (orders,txns)  │
│  EVM Connector       │          │  Redis (rates, sessions)   │
│  TON Connector       │          │  Message Queue (Kafka/RMQ) │
│  TRON Connector      │          └────────────────────────────┘
└──────────────────────┘

Core Services: Invoice and Address

Invoice Service manages the state machine: created → address_assigned → payment_detected → confirming → confirmed → settled | expired | failed. Each invoice stores exchange_rate_expires_at separately from expires_at—this allows rate updates without recreating the invoice.

interface Invoice {
  id: string;
  merchant_id: string;
  external_order_id: string;
  requested_currency: 'USD' | 'EUR';
  requested_amount: Decimal;
  payment_currency: 'BTC' | 'ETH' | 'USDT_ERC20' | 'USDT_TRC20';
  payment_network: 'bitcoin' | 'ethereum' | 'tron';
  payment_address: string;
  payment_amount: Decimal;
  exchange_rate: Decimal;
  exchange_rate_expires_at: Date;
  status: InvoiceStatus;
  received_amount: Decimal;
  tx_hash: string | null;
  confirmations: number;
  required_confirmations: number;
  created_at: Date;
  expires_at: Date;
  confirmed_at: Date | null;
  settled_at: Date | null;
}

Address Allocation uses an HD wallet with BIP-44. Pre-generation in batches of 1000 addresses avoids delays when creating invoices. Critical rule: one address—one invoice. Even if an invoice expires, the address is not reused. For more on BIP-44, see the specification.

CREATE TABLE address_pool (
    id BIGSERIAL PRIMARY KEY,
    network VARCHAR(20) NOT NULL,
    coin_type INTEGER NOT NULL,
    address_index BIGINT NOT NULL,
    address VARCHAR(200) NOT NULL,
    allocated_at TIMESTAMPTZ,
    invoice_id UUID REFERENCES invoices(id),
    UNIQUE(network, address_index)
);

Blockchain Connectors: How to Ensure Reliability

All connectors implement a common interface. For EVM networks, a single instance with dynamic RPC endpoint rotation via a circuit breaker—after 3 failed attempts, it switches to a backup.

interface BlockchainConnector {
  watchAddress(address: string, callback: (tx: IncomingTransaction) => void): () => void;
  getTransaction(txHash: string): Promise<TransactionDetail>;
  getConfirmations(txHash: string, blockNumber: number): Promise<number>;
  buildSweepTransaction(from: string, to: string, amount: bigint): Promise<UnsignedTx>;
  broadcastTransaction(signedTx: string): Promise<string>;
  validateAddress(address: string): boolean;
  estimateFee(): Promise<bigint>;
}

The EVM connector processes transactions 10 times faster than Bitcoin due to the absence of the UTXO model. For TRON, we use tronweb.

Example connector configuration with circuit breaker

When initializing the connector, a list of RPC endpoints is passed. For each endpoint, an error counter is maintained. When the threshold is exceeded, the endpoint is marked unavailable for a specified period. A health-check runs in parallel to restore the endpoint after a successful response.

Why Reorganization Handling Is Critical for a Gateway?

A reorg—blocks you already processed become non-canonical. A transaction believed to be confirmed disappears. Protection: never mark an invoice as settled with fewer confirmations than the safe threshold.

Network Safe Confirmations Approximate Time
Bitcoin 3 (small) / 6 (large) 30-60 min
Ethereum 12-15 3-4 min
Polygon 128 (until checkpoint) 5-7 min
Arbitrum 1 (optimistic, L2) 15 sec
TRON 20 1 min

According to Bitcoin Wiki, for large transactions 6 confirmations are recommended. Additionally: store block_hash along with tx_hash. On each confirmation check, verify that the block with that hash is still in the canonical chain.

Operations: Sweep and Webhooks

Sweep—automatic transfer of funds from the payment address to a cold wallet. A worker runs after each confirmation. If the amount is less than the fee, it logs but does not send.

Webhook system—merchant subscribes to events. Exponential backoff: 30 sec → 5 min → 30 min → 2 hours → 24 hours. After 5 failures, an alert is triggered. Each payload is HMAC-signed for verification.

interface WebhookDelivery {
  id: string;
  merchant_id: string;
  invoice_id: string;
  event_type: 'payment.detected' | 'payment.confirmed' | 'payment.settled' | 'payment.expired';
  payload: object;
  status: 'pending' | 'delivered' | 'failed';
  attempts: number;
  next_retry_at: Date;
  delivered_at: Date | null;
}

Security

Keys are never stored on application servers—only HSM or KMS (AWS KMS, HashiCorp Vault). The signing service is an isolated microservice with minimal privileges. IP whitelist for the merchant's webhook endpoint (optional). Rate limiting on invoice creation: no more than 100/min per merchant. Audit of all actions via an append-only table.

What Is Included in the Work

  • Architecture Decision Records for every key decision
  • OpenAPI specification of all API endpoints
  • ER diagram of the database schema
  • Component and sequence diagrams
  • Deployment and monitoring documentation
  • Access to a repository with a connector template
  • Team training (2-hour workshop)
  • Support during the development phase (2 weeks)

Design Process

  1. Day 1: requirements gathering—networks, currencies, volumes, SLA, settlement model, jurisdiction.
  2. Day 2: data schema and core services design.
  3. Day 3: blockchain connectors, resilience, reorg strategy.
  4. Day 4: API contracts, webhook events, SDK.
  5. Day 5: security review, threat model, final documentation.

The result is a complete set of artifacts for development. Thanks to a well-thought-out architecture, customers save from $20,000 on rework. A typical project pays for itself in a quarter. Get a consultation for your project—contact us.

Blockchain Infrastructure Deployment: Nodes, RPC, Indexing

Subgraph fell at 3:47 AM. By morning users saw outdated balances, transactions "hung" in the UI, support received 47 tickets in an hour. Cause: the handler in the subgraph failed on a transaction with a non-standard event log — and the entire index stopped. We have encountered such situations dozens of times. Our experience shows: blockchain infrastructure does not forgive gaps in observability. Guaranteeing uptime without multi-layered monitoring and fault-tolerant architecture is impossible. Over 8 years working with Ethereum, Polygon, and Solana, we have developed an approach that allows predictable deployment of infrastructure of any scale — from a single node to a multichain grid with dozens of subgraphs.

RPC Layer Architecture

Every dApp interaction with the blockchain goes through RPC — the JSON-RPC API provided by a node. Three options:

Managed providers — Alchemy, QuickNode, Infura, Ankr. Minimal operational costs, SLA, built-in monitoring. Limits: rate limits (Alchemy Free: 300 RU/sec), vendor lock, potential downtime during provider incidents. For most projects — the right choice at the start.

Self-owned nodes — full control, no rate limits, no third-party dependence. Cost: archive Ethereum node requires 2.5–3TB SSD, a strong server, and DevOps support. Sync from scratch on Ethereum via Geth/Nethermind — 3–7 days. Justified under high load or latency requirements.

Hybrid — self-owned node as primary, managed provider as fallback. Standard for protocols with high TVL. Proper load balancing can reduce costs by 20–30% compared to pure managed setup. Under high monthly request volume, hybrid saves significantly.

Provider Strength Limitation
Alchemy Supernode, Enhanced APIs, webhooks Expensive on high-volume
QuickNode Low latency, multi-chain More expensive than Alchemy on basic plan
Infura Historical reliability Rate limits on free, one major incident halted half of DeFi
Ankr Cheap, 40+ chains Less stable

How to Set Up an RPC Layer Without a Single Point of Failure?

At least two providers, DNS round-robin with health check every 5 seconds, automatic fallback when latency >500 ms. In practice, this gives 99.99% availability during any provider failure. For protocols with high TVL, we recommend a custom HA-proxy (nginx or Envoy) in front of two managed providers.

Why Is a Hybrid RPC Scheme More Cost-Effective Than Pure Managed?

At high request volumes, managed providers can be very expensive; a hybrid using a self-owned node as primary and a managed fallback cuts costs significantly without losing SLA.

Ethereum Node Clients

Execution clients: Geth (most used), Nethermind (C#, fast sync), Besu (Java, enterprise), Erigon (fastest sync, efficient archive mode ~2TB instead of 3TB).

Consensus clients (post-Merge): Lighthouse (Rust), Prysm (Go), Teku (Java), Nimbus (Nim). Each node after The Merge requires a pair of execution + consensus clients.

For DevOps: eth-docker — Docker Compose configurations for all client combinations. Setting up monitoring via Grafana + Prometheus is mandatory; a standard dashboard is available in each client's repository.

The Graph: Event Indexing

The Graph Protocol — decentralized indexing. A subgraph describes which events from which contracts to index and how to transform them into a GraphQL schema.

Subgraph structure:

  • subgraph.yaml — manifest: contract addresses, startBlock, events to handle
  • schema.graphql — GraphQL schema of entities
  • src/mapping.ts — AssemblyScript event handlers
dataSources:
  - kind: ethereum
    name: UniswapV3Pool
    network: mainnet
    source:
      address: "0x88e6A0c2dDD26FEEb64F039a2c41296FcB3f5640"
      abi: UniswapV3Pool
      startBlock: 12370624
    mapping:
      eventHandlers:
        - event: Swap(indexed address,indexed address,int256,int256,uint160,uint128,int24)
          handler: handleSwap

AssemblyScript handlers — not TypeScript. No nullable types, no closures, no many standard APIs. An error in the handler stops the subgraph indexing on that transaction. Important: add try-catch for operations that can fail (e.g., store.get() for an entity that may not exist).

How to Avoid Subgraph Indexing Stops?

Graph Node logs are monitored in real-time; on hasIndexingErrors = true an alert fires and an automatic node restart (via systemd or Kubernetes). Typical downtime on error — 150–300 seconds to recover. Additionally, for production we set up a watchdog that restarts Graph Node if subgraph lag exceeds 50 blocks.

Choosing Between Hosted Service and Decentralized Network

Graph Hosted Service (free, centralized) is deprecated in favor of Subgraph Studio + Graph Network. For production: deploy on Graph Network with GRT curation signal — the subgraph gets indexers proportional to curation.

Alternatives to The Graph: Ponder (TypeScript, self-hosted, easier to debug), Envio (ultra-fast indexer, supports EVM + non-EVM), Subsquid (TypeScript, own network), Moralis Streams (managed, webhook-based). Our experience shows: for high-load projects with unique logic, Ponder or Envio are more effective — they give full control over the process and do not require GRT tokenomics.

Webhooks and Real-Time Notifications

Alchemy Webhooks and QuickNode Streams allow receiving events in real-time via HTTP webhook or WebSocket. For monitoring addresses, new transactions, mints — this is faster than polling RPC.

Tenderly — platform for monitoring and alerts. You can set up an alert for a specific contract event, balance change, function call with certain parameters. Transaction simulation via Tenderly API is invaluable for debugging.

Monitoring and Observability

Minimum monitoring stack for a protocol:

On-chain: OpenZeppelin Defender Sentinel — watches contract events, triggers webhook or Autotask when conditions are met. Forta Network — community-maintained bots detect anomalies (large withdrawals, flash loans, governance attacks).

Infrastructure: Grafana + Prometheus for nodes, Datadog or Grafana Cloud for managed metrics. Alerts on: node is 10+ blocks behind, RPC latency >500ms, subgraph lag >100 blocks.

Uptime: Better Uptime or PagerDuty on RPC endpoint and subgraph health endpoint (The Graph provides _meta { hasIndexingErrors, block { number } }).

Why Is Monitoring Without Tenderly Insufficient?

Tenderly provides transaction simulation and detailed traces — critical for debugging subgraph and smart contract errors. Forta focuses on network anomalies, not your infrastructure. The combination of Tenderly plus a custom Grafana dashboard covers 90% of incident scenarios.

Multichain Infrastructure

A protocol on 5 chains = 5 separate RPC endpoints, 5 subgraphs, 5 monitoring configs. Manageable but requires deployment automation.

For subgraph multi-network deployment: graph deploy --network mainnet, graph deploy --network arbitrum-one etc. with a unified codebase and network-specific addresses in separate config files.

Chainlink CCIP and LayerZero for cross-chain messaging require monitoring of both chains and transactions on intermediate relayers. A reorg on the source chain after a confirmed mint on the target chain is a classic bridge problem. Solution: wait for finality (on Ethereum ~15 minutes after Merge for economic finality) before confirming on the target chain.

Infrastructure Setup Process

  1. Audit current stack — determine chains, request volume, latency and availability requirements.
  2. Architecture design — select providers, load balancing, redundancy.
  3. Subgraph development — manifest → schema → handlers → testing on local Graph Node → deploy to testnet → mainnet.
  4. Monitoring configuration — Tenderly alerts, Grafana dashboard, PagerDuty integration.
  5. Documentation and runbook — what to do when: subgraph falls behind, RPC downtime, node desync.
  6. Handover to operations — team training, access transfer, first month support.

What's Included

  • Deployment of managed or self-hosted Ethereum, Polygon, BNB Chain nodes
  • RPC layer setup with primary/fallback and load balancing
  • Subgraph development and deployment for your protocol
  • Monitoring connection (Tenderly, Grafana, alerts)
  • Runbook and operations documentation
  • Team training (up to 4 hours online)
  • 30-day support after delivery

Timeline

Task Duration
RPC and basic monitoring setup 1–2 weeks
Subgraph for one protocol 2–4 weeks
Self-hosted node with monitoring 2–3 weeks
Full infrastructure (multi-chain, monitoring, runbooks) 6–10 weeks

All projects are managed in a GitHub/GitLab repository with CI/CD; configuration code stays with you. Order infrastructure deployment — we'll show how to cut costs by 20–30% without losing reliability. Get a consultation — we'll demonstrate how we deployed infrastructure for a protocol with large TVL on Ethereum and Arbitrum. Contact us.