Technology Stack

Every tool chosen for production reliability. Here's what we actually ship with.

How We Choose

The Stack Reflects Our Engineering Values

We don't pick tools because they're trending on Hacker News or because a vendor sent us a demo. Every technology in our stack was chosen against four criteria — and we revisit that judgment regularly.

Production-proven track record

If it hasn't survived real load, real failures, and real users, we're not betting a client's project on it.

Our team's deep expertise

Familiarity isn't comfort. It's speed, confidence, and the ability to debug at 2am without Stack Overflow.

Fitness for the domain

Financial services, banking and enterprise systems have different constraints. The right tool for one may be wrong for another.

Long-term maintainability

We build systems your team inherits. If we wouldn't want to maintain it ourselves, we don't ship it to you.

// hdlabs.config.json
{
  "selection_criteria": [
    "production_proven",
    "team_expertise",
    "domain_fitness",
    "maintainability"
  ],
  "excluded": [
    "hype_driven",
    "resume_padding"
  ]
}
The Full Stack

What We Ship With

Four domains. One consistent standard: production-grade or we don't ship it.

Backend

The runtime layer under every API, integration, and data pipeline we build.

Node.js NestJS Java Spring Boot Python PostgreSQL MongoDB Redis Kafka RabbitMQ Elasticsearch GraphQL
  1. 01
    Node.js / NestJS

    Primary stack for payments, banking integrations and API platforms. NestJS module architecture keeps large codebases navigable as teams grow.

  2. 02
    Java / Spring Boot

    Enterprise backend work and high-throughput systems where JVM performance and ecosystem maturity matter.

  3. 03
    Data Layer

    PostgreSQL as the primary relational store. MongoDB for document models. Redis for caching and pub/sub. Kafka for event streaming.

  4. 04
    API Design

    REST by default, GraphQL where query flexibility matters, gRPC for internal service communication. Every API is versioned and documented.

Cloud & Infrastructure

Cloud infrastructure on AWS and GCP that your own team can operate, not a black box only we can maintain.

AWS GCP EventBridge SQS Kubernetes Docker Terraform GitHub Actions ArgoCD Prometheus Grafana Loki Datadog ELK Stack
  1. 01
    Kubernetes

    Production Kubernetes deployments on AWS EKS. Helm charts, namespace isolation, resource limits, and horizontal autoscaling.

  2. 02
    Infrastructure as Code

    Terraform for all cloud resources. No clickops in production. Every environment is reproducible and version-controlled.

  3. 03
    CI/CD

    GitHub Actions pipelines with automated testing, security scanning, and staged rollouts. Zero-downtime deployments by default.

  4. 04
    Observability

    Prometheus + Grafana for metrics, structured logging with ELK, distributed tracing with OpenTelemetry. You can't fix what you can't see.

  5. 05
    Event-Driven Services

    Amazon EventBridge and SQS between services, with retries and dead-letter queues, so one slow part never holds up the rest.

  6. 06
    Failover

    Primary and backup sites across regions, kept in step and tested, the way our founder ran market data across Yahoo Finance's global data centres.

AI Tools

AI tools embedded in every phase of our development workflow. Not for show — for genuine velocity gains.

Claude OpenAI GitHub Copilot Cursor LangChain Pinecone Weaviate Ollama
  1. 01
    Code Generation

    Claude and Copilot handle boilerplate, pattern-matching, and first-pass implementations. Engineers review and own every line.

  2. 02
    Architecture Validation

    We use AI to rapidly explore design trade-offs, spot anti-patterns, and validate approaches before committing to them.

  3. 03
    Test Coverage

    Automated test generation for unit, integration, and edge cases. Human review ensures test quality and meaningful assertions.

  4. 04
    Documentation

    AI-generated technical documentation from code, reviewed and edited by engineers. Clients get docs they can actually use.

Blockchain

Production-grade blockchain development on Ethereum, Polygon and Solana. We chose depth over breadth.

Ethereum Polygon Solana Tendermint Solidity Rust The Graph IPFS Chainlink
  1. 01
    EVM Ecosystem

    Ethereum and Polygon for ERC token standards, stablecoin payments, DEX and lending integrations, and enterprise integrations. Solidity contracts written to be audit-ready.

  2. 02
    Solana

    Rust-based program development for high-throughput applications. SPL token programs and the Anchor framework.

  3. 03
    Tooling

    The Graph for indexing. Chainlink for oracle integration.

Want to Know Why We Chose This Stack?

We're happy to walk through our technology reasoning on a call. No commitment required.

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