Cloud-Native

Microservices

TypeScript

Docker

Updated Feb 2026

Modern Software Development

Cloud-native, testable, and maintainable services — from architecture design through production observability. We build software that scales with your business and your team.

Quick Answer

Our development service covers the full lifecycle — architecture design, containerized builds, API & event-driven patterns, test automation (unit → e2e → contract), developer experience tooling, and cloud-native best practices. Teams typically see 50%+ faster onboarding, 95%+ test coverage, and 70%+ fewer production bugs within the first quarter.

What Development Capabilities Do We Provide?

Six pillars of modern software engineering — from architecture through production readiness.

Architecture Design

Trade-off analysis between microservices and modular monolith patterns. We document decisions via ADRs and select the right architecture for your scale, team size, and domain complexity.

Containerization

Multi-stage Docker builds with image hardening, distroless base images, and layer caching strategies that shrink images by 80% and eliminate CVEs from the supply chain.

API & Event Design

RESTful and gRPC APIs with OpenAPI specs, versioning strategies, and event-driven architectures using Kafka, SQS, or EventBridge for decoupled, resilient communication.

Test Automation

Full testing pyramid — unit, integration, e2e, and contract tests. We establish coverage gates, mutation testing, and performance baselines that catch regressions before production.

Developer Experience

Dev containers for instant onboarding, pre-commit hooks, conventional commits, automated PR bots, and IDE task definitions that keep the inner dev loop under 10 seconds.

Cloud-Native Patterns

12-factor compliance, serverless-first where it fits, feature flags, graceful degradation, and observability baked in from day one — not bolted on after launch.

50%+

Faster Onboarding

95%+

Test Coverage

< 2 day

Time-to-First-PR

70%+

Fewer Production Bugs

Why Choose HostingX for Software Development?

Engineering rigour meets startup speed — here is what sets us apart.

Proven Architecture Patterns

Every design decision is backed by ADRs and trade-off matrices so your team understands not just what was built, but why.

Full Lifecycle Ownership

From domain modelling through CI/CD to post-launch observability — one team, one backlog, zero handoff gaps.

Incremental Modernization

Strangler fig pattern for legacy apps: migrate service by service while maintaining uptime and avoiding big-bang rewrites.

Built-In Quality Gates

Automated linting, SAST/DAST scans, dependency audits, and coverage thresholds run on every pull request — not just before release.

How Do We Approach Software Development Projects?

We follow a structured methodology that balances speed with quality, ensuring every line of code is production-ready from day one.

Architecture-First Design

Before writing code, we invest in architectural clarity. This means trade-off analysis between microservices and modular monoliths, domain modeling to establish bounded contexts, API contract design (OpenAPI/AsyncAPI), and event-driven communication patterns. We document every significant decision in Architecture Decision Records (ADRs) so your team understands the reasoning behind each choice — not just the outcome, but the alternatives considered and why they were rejected.

Test-Driven Quality

We implement the testing pyramid rigorously: comprehensive unit tests for business logic, integration tests for service boundaries and database interactions, contract tests for API consumers and producers, and targeted end-to-end tests for critical user journeys. Performance baselines are established early so regressions are caught before they reach production. We typically achieve 90-95% code coverage on new codebases with meaningful tests, not just line-coverage gaming.

Cloud-Native by Default

Every application we build follows 12-factor principles: externalized configuration, stateless processes, disposable instances, and environment parity between development and production. We containerize with multi-stage Docker builds for minimal image sizes, implement health checks and graceful shutdown for Kubernetes readiness, and design for horizontal scaling from the start. This approach means your applications run identically in development, staging, and production — eliminating the "works on my machine" class of bugs entirely.

Developer Experience & Handover

We deliver codebases that your team can maintain and extend confidently. This includes dev containers for consistent local environments, pre-commit hooks for code quality enforcement, conventional commit conventions for automated changelogs, comprehensive README documentation, and pair-programming sessions during handover. Our goal is that within 2 weeks of handover, your engineers are shipping features independently without needing our support.

Case Study Highlight

HealthTech Startup: Monolith to Microservices

A Series B healthtech company was struggling with a 4-year-old Django monolith — deployments took 3 hours, the test suite ran for 40 minutes, and new feature development was slowing to a crawl due to tight coupling. We applied the strangler fig pattern to extract 6 bounded-context microservices (TypeScript/Node.js) over 16 weeks while maintaining zero downtime. Results: 12-minute deployment cycle, 93% test coverage with 4-minute test runs, 3x faster feature velocity, and the team went from monthly releases to daily deployments. The monolith surface area shrank by 70%, and each service team now operates independently.

Frequently Asked Questions

Common questions about our development service.

We work across the modern stack — Node.js/TypeScript and Python for backend services, Go for performance-critical microservices, and React/Next.js for frontend applications. Framework choice is driven by your domain requirements, team skills, and long-term maintainability, not hype cycles.

Every significant decision goes through a lightweight trade-off analysis documented as an Architecture Decision Record (ADR). We evaluate microservices versus modular monolith based on team size, deployment cadence, and domain boundaries — then validate the choice with a spike or proof-of-concept before committing.

We follow the testing pyramid: a broad base of fast unit tests, a middle layer of integration tests against real dependencies (using Testcontainers), and a thin top layer of end-to-end tests. We also add contract tests between services and performance baselines that run in CI to catch regressions early.

Absolutely. We set up dev containers so any engineer can go from git clone to a running app in minutes, pre-commit hooks for formatting and linting, conventional commit enforcement, automated PR review bots, and VS Code / JetBrains task definitions for common workflows.

Yes. We use the strangler fig pattern to incrementally extract functionality into new services while the legacy system continues to serve traffic. This approach maintains uptime, reduces risk, and lets you deliver business value during the migration instead of waiting for a big-bang rewrite.