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Module 04 // Distributed systems

Enterprise Cloud & Backend Engineering

Fault-tolerant, globally distributed backends and event-driven microservices engineered for high traffic, reliability and easy scaling.

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Technologies we use

  • Go
  • Node.js
  • Laravel
  • Kafka
  • PostgreSQL
  • Redis
  • AWS
What we deliver

What our enterprise cloud & backend engineering includes

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    High availability

    Active-active failover across AWS, GCP, Azure and on-premise environments.

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    Event-driven streaming

    Kafka and queue-based architectures with ordered, replayable event streams.

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    High-throughput APIs

    Go, Node.js, Python and Laravel APIs with REST, GraphQL and gRPC.

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    Legacy monolith migration

    Strangler-fig migrations to modern services with zero revenue interruption.

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    Database performance

    PostgreSQL tuning, sharding, read replicas and caching strategies.

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    Security & compliance

    Encryption in transit and at rest, audit trails and least-privilege IAM.

Backends that don't wake you up at 3am

Your product is only as reliable as the systems behind it. We design and build cloud-native backends — APIs, microservices, data pipelines and integrations — that stay fast under load and recover automatically when something fails.

When to call us

  • Your API slows down or times out as traffic grows.
  • A monolith has become too risky to change.
  • You're moving from on-premise servers to AWS, Google Cloud or Azure.
  • You need real-time data across many systems (orders, payments, inventory, telemetry).
  • You're preparing for a funding round, an enterprise customer or a security audit.

What we deliver

Scalable API platforms. REST, GraphQL and gRPC services in Go, Node.js, Python or Laravel, with versioning, rate limiting, documentation and SDKs.

Event-driven architecture. Kafka, RabbitMQ or cloud queues so that services communicate reliably and data can be replayed after failures.

Cloud migration and modernisation. We use the strangler-fig pattern and change-data-capture to move from legacy systems to modern services step by step, with no big-bang cut-over and no downtime.

Data and database engineering. Schema design, query optimisation, partitioning, replicas, caching and analytics pipelines into warehouses like BigQuery, Snowflake or ClickHouse.

Reliability engineering included

Every backend we ship includes health checks, structured logging, distributed tracing, alerting and load testing. We define service-level objectives with you and design the architecture to meet them — then prove it before launch.

FinOps: lower cloud bills

Well-designed systems are cheaper to run. Through right-sizing, autoscaling, caching and reserved capacity we regularly cut cloud spend by 30–60% while improving performance.

Proof

Related case studies

AVESTA: Multilingual Corporate Platform & Content API for a European Battery Group

A headless CMS and versioned REST API in English, French and Dutch for a European battery-manufacturing group — covering group companies, products, R&D, EU research projects, news, careers and compliance — plus a bilingual sister platform for AVESTA Egypt.

Languages (EN · FR · NL)
3
Languages (EN · FR · NL)
EU research projects
33
EU research projects
Read the full case study: AVESTA: Multilingual Corporate Platform & Content API for a European Battery Grouparrow_forward
Next steps

Ready to start your project?

Book a free discovery call with our team. You get a recommended approach, a timeline and a line-item estimate within 24 hours — no sales pitch.

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