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High-Availability Full-Stack Platforms & Distributed Architectures

Custom Software Engineering for Platforms That Scale Past 1M Users

TechAelia architects full-stack platforms, APIs, and microservices with 99.99% uptime targets, P99 API latency under 50ms, and TypeScript strict mode across repos. We modernize legacy monoliths incrementally and ship weekly demos on staging so your stakeholders see progress, not slide decks.

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Custom Software Engineering

  • 99.99%

    Target Uptime

  • 100%

    TypeScript Coverage

  • <50ms

    P99 API Latency

TechAelia · Stack

CAPABILITIES

What we build under this service

Engineering depth across custom software engineering, from discovery through production handoff.

Resilient, scalable full-stack architecture built for extreme longevity, so your digital infrastructure never becomes the constraint.

  • Microservices & Distributed Apps

    Decoupled services using message brokers (RabbitMQ, Kafka, Redis) that handle millions of concurrent operations safely.

  • Full-Stack Web Architectures

    Sleek, responsive React/Next.js client portals backed by fast Node.js, Go, or Python microservices.

  • Database Engineering

    Complex schema design, query optimization, connection pool tuning, and failover configurations across Postgres, MySQL, and NoSQL.

  • Legacy Monolith Refactoring

    Pragmatic, incremental porting of legacy software to modern serverless or microservice stacks using Strangler patterns.

ENGINEERING

Tools and platforms

Modern, vetted stack choices for build, scale, and observability.

  • Web Client

    Next.js & React

    Sleek, modern frontends using Server Components, serverless APIs, and optimal assets caching.

  • Backend Core

    Go (Golang)

    High-performance, low-memory compiled microservices designed for fast operations.

  • Databases

    PostgreSQL & Redis

    Relational database backed by ultra-fast in-memory keys caching.

  • Message Broker

    Apache Kafka

    Real-time message streaming queues to process async workflows safely.

PROCESS

Production pipeline

How we move from architecture to live operations.

  1. 01

    Phase 01 · Weeks 1-2

    Topology Design

    We design system databases schemas, domain boundaries, and API payload definitions.

    Deliverables

    • Detailed schema diagrams
    • Interactive API mock server
  2. 02

    Phase 02 · Weeks 3-6

    Core Services Setup

    We code high-performance backend microservices and configure data caching setups.

    Deliverables

    • Go/Node.js API skeletons
    • Redis caching integration
  3. 03

    Phase 03 · Weeks 7-10

    Frontend Integration

    We connect React/Next.js client panels to APIs, ensuring strict static type-safety.

    Deliverables

    • Functional client web dashboard
    • Responsive design styling
  4. 04

    Phase 04 · Weeks 11-12

    Load Test & Scale

    We execute comprehensive stress and load tests to optimize query speeds before launching.

    Deliverables

    • Load test score reports
    • Zero-downtime deploy scripts
WHY TECHAELIA

Why TechAelia Core Software?

What sets our delivery apart on engagements like yours.

  • Zero-Downtime Architectures

    Blue-green deployments, canary testing strategies, and strict backward-compatible database migrations.

  • TypeScript / Next.js Elite

    Server-side rendering, optimized bundle sizes, dynamic streaming routes, and clean type-safety end-to-end.

  • Modern API Infrastructure

    High-performance GraphQL servers, type-safe gRPC protocols, and strict, self-documenting REST endpoints.

PROOF

Related case studies

Real outcomes from our engineering practice.

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FAQ

Common questions

Timelines, security, and how we deliver custom software engineering with your team in the loop.

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Browse all FAQs

  • We write strict, type-safe code with modular folders, exhaustive README documentation, standard JSDoc definitions, and comprehensive automated test suites (Jest/Playwright) so that handoff is frictionless.

  • We specialize in TypeScript (Node.js/Next.js), Go (Golang) for fast microservices, and Python for data/AI pipelines. We choose the stack based strictly on your project's performance and system criteria.

  • Yes. We use strangler-fig patterns: extract bounded contexts behind APIs, migrate data incrementally, and keep the monolith running while new services take traffic. Each slice ships with tests and rollback plans.

  • We produce architecture decision records (ADRs), API contracts (OpenAPI), and diagrammed data flows before major builds. Stakeholders review scope, integrations, and non-functional requirements in a signed discovery phase.

  • Often. We ship operator consoles, approval workflows, reporting views, and role-based access on the same stack as your customer product so teams get one coherent platform.

  • Unit and integration tests run on every pull request. Staging mirrors production configs. Releases use feature flags or blue-green deploys where possible, with automated smoke checks after each deploy.

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Response time

We reply within 24 hours on business days.

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