Technology Stack for Scalable Digital Products

We use a carefully selected technology stack to build reliable, scalable, and maintainable digital products. Below you can explore the core technologies we work with across mobile, web, backend, data, cloud, and DevOps — each chosen to solve real engineering and business challenges.

“A strong technology stack is built through conscious choices, not trends.”

At SDH, technology selection is an architectural decision. We choose platforms and frameworks based on performance, scalability, integration complexity, and long-term maintainability.

Reliable products are built through deliberate engineering decisions and a clear understanding of how each technology fits the system as a whole.

Mobile Application Development Technologies

Native and cross-platform mobile development for MVPs and mature products. We choose the stack based on performance needs, platform integrations, and how fast you want to iterate.

Swift

Apple’s modern language for iOS apps. Great for high performance, clean architecture, and deep iOS integrations (Face ID, Apple Pay, push notifications, background tasks).

Objective-C

Still relevant for legacy iOS/macOS apps and older SDKs. Useful for maintaining existing codebases, bridging native modules, and modernizing products step-by-step without risky rewrites.

Kotlin

The modern standard for Android development. Ideal for new apps and refactoring legacy projects, with concise syntax and strong tooling for clean, maintainable architectures.

Java

Common in enterprise Android and long-lived mobile codebases. A strong choice when teams rely on established libraries, stable patterns, and existing Java modules.

Flutter

Cross-platform framework to ship iOS and Android faster from one codebase. Best for MVPs and rapid iteration, while keeping UI consistent and performance solid.

Used for performance-critical native modules and device-level integrations (encryption, media processing, SDKs). Helpful when mobile apps need low-level speed or shared native libraries across platforms.

Frontend Web Development Tech Stack

Technologies we use to build modern web interfaces — from fast landing pages to complex dashboards and SaaS frontends. The focus is on performance, maintainable UI architecture, and predictable delivery at scale.

JavaScript

The core language of the browser. Powers interactive UI behavior, dynamic content updates, and rich user experiences in modern web applications.

TypeScript

Strong typing on top of JavaScript for scalable frontend codebases. Helps reduce regressions, improves refactoring safety, and keeps teams aligned as the UI grows.

React

Component-based UI library for building scalable SPAs, portals, and complex dashboards. Great fit for reusable design systems and long-term product evolution.

Vue

Progressive framework for clean, lightweight interfaces. A strong choice when you need fast implementation, flexible architecture, and a smooth learning curve for teams.

Redux

Predictable state management for applications with complex data flows. Useful when UI logic spans multiple screens, roles, and asynchronous operations.

Django

Full-stack framework that can power web apps end-to-end: server-rendered pages, admin panels, and secure foundations. Great for MVPs and internal portals where speed and structure matter.

Backend & API Development Technologies

Technologies used to build reliable backends and APIs — from monolithic platforms to microservices. The focus is on scalability, security, clean architecture, and predictable system behavior under load.

Python

A core backend language for APIs, business logic, background jobs, and integrations. Chosen for its readability, mature ecosystem, and speed of development.

Python Ecosystem

A rich set of libraries and tools for data processing, task queues, integrations, and internal services that extend backend capabilities beyond core APIs.

Firebase

Backend-as-a-Service for fast web and mobile delivery: authentication, real-time data, hosting, and serverless extensions. A strong choice for MVPs and products that need quick iteration with managed infrastructure.

FastAPI

High-performance framework for building APIs and microservices. Ideal for systems that require speed, async processing, and automatic OpenAPI documentation.

Flask

Lightweight framework for building focused APIs and services. Often used when flexibility and minimal overhead are more important than full-stack features.

Java

Enterprise-grade backend technology for high-load and long-lived systems. Commonly used in complex domains where stability, performance, and scalability are critical.

Databases & Data Storage Technologies

Data layers that support real product workloads — transactional consistency, flexible document storage, fast caching, and reliable query performance. We choose databases based on data shape, scale, and operational requirements.

PostgreSQL

Enterprise-grade relational database for systems that need strong consistency, complex querying, and reliable transactions. A great fit for fintech, marketplaces, SaaS platforms, and analytics-heavy products.

MongoDB

Document database for flexible schemas and rapid iteration. Useful for content platforms, event-driven systems, product catalogs, and cases where data structures evolve frequently.

MySQL

A widely adopted relational database for web platforms and transactional workloads. Often selected for compatibility, established ecosystems, and straightforward operational setups.

Redis

In-memory data store for caching, sessions, rate limiting, queues, and real-time features. Improves responsiveness and reduces load on primary databases in high-traffic applications.

Database Architecture

Database design and engineering beyond a single engine: schema modeling, indexing strategy, replication, backups, migrations, and performance tuning — aligned with your product’s growth and uptime needs.

Search Technologies

Search and retrieval technologies for fast data access, analytics, and discovery. Used to power full-text search, filtering, monitoring, and modern AI-driven search experiences.

Elasticsearch

Distributed search and analytics engine for full-text search, filtering, and real-time data exploration. Commonly used for logs, metrics, product search, and operational monitoring.

OpenSearch

Open-source search and analytics platform for scalable indexing and querying. A strong option for teams prioritizing flexibility, observability, and vendor-neutral tooling.

AI & Vector Search

Semantic and vector-based search for AI-driven experiences. Enables similarity search, natural-language queries, recommendations, and retrieval-augmented generation (RAG) use cases.

Cloud Platforms

Cloud infrastructure platforms used to host, scale, and secure modern applications. We work with public cloud and edge providers to match performance, cost, and compliance requirements.

Amazon Web Services

The most widely adopted cloud platform for production workloads. Used for scalable compute, managed databases, storage, security controls, and global infrastructure across startups and enterprises.

Google Cloud Platform

Cloud-native platform with strong data, analytics, and managed services. Often selected for modern web applications, data-heavy systems, and scalable APIs.

Microsoft Azure

Enterprise-focused cloud platform with strong hybrid capabilities. Commonly used for corporate systems, Microsoft ecosystems, and compliance-driven environments.

DigitalOcean

Simple and cost-effective cloud platform for MVPs, startups, and lean environments. Well-suited for fast deployment and predictable infrastructure costs.

Cloudflare

Edge cloud platform for performance and security. Provides CDN, DNS, WAF, and DDoS protection to improve reliability and reduce latency for global applications.

IBM Watson

Enterprise AI and cloud platform for natural language processing, machine learning, and intelligent automation. Commonly used in regulated industries and complex enterprise environments.

DevOps Automation & Tooling

DevOps tools and automation practices used to streamline delivery, improve reliability, and keep infrastructure predictable across development, staging, and production environments.

Docker

Containerization platform used to create consistent runtime environments. Helps eliminate “works on my machine” issues and simplifies CI/CD pipelines.

Kubernetes

Container orchestration platform for high availability and auto-scaling. Used to manage microservices, rolling updates, and resilient production workloads.

Terraform

Infrastructure as Code tool for managing cloud resources in a repeatable way. Enables versioned infrastructure, safe changes, and predictable environments.

Jenkins

Mature CI/CD automation server for complex build and deployment pipelines. Well-suited for enterprise workflows with custom stages and integrations.

GitHub Actions

CI/CD automation tightly integrated with GitHub repositories. Enables fast feedback loops, automated testing, and streamlined deployments.

Ansible

Automation and configuration management tool for provisioning servers and maintaining consistent environments across cloud and on-prem setups.

Technology Stack for Scalable Digital Products

Mobile Application Development Technologies

Frontend Web Development Tech Stack

Backend & API Development Technologies

Databases & Data Storage Technologies

Search Technologies

Cloud Platforms

DevOps Automation & Tooling

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