United States | English
Locations Careers Contact Us
← Engineering · Case studies Product development · Case study

Java & Python services on IaC

Containerized Java and Python services that implement the agreed API contracts — delivered on infrastructure as code, with automated pipelines and observability built in.

Languages
Java & Python
Runtime
Containers
Platform
Infrastructure as Code

Overview

Backend services were hard to change and operate, ran on hand-built environments, and offered little visibility into their health. The aim was services engineered for maintainability, running on a reproducible, code-defined platform.

Each service implements its OpenAPI contract, owns a single primary datastore accessed only through its API, and is delivered through automated pipelines. The service PLDC stays the team's own, but compatible with the API lifecycle.


The challenge

Our approach

  1. Implemented services in Java (Spring) and Python (FastAPI / Django) against the agreed OpenAPI contracts
  2. Gave each service one primary datastore, accessed only through its API
  3. Containerized the services and defined the platform as infrastructure as code with Terraform
  4. Delivered through CI/CD pipelines with automated tests and quality gates
  5. Instrumented logging, metrics, and tracing for health and performance
  6. Deployed to public or private gateways — close to consumers or to the service — as appropriate

Results & business impact

Tools & technology

Java (Spring) Python (FastAPI / Django) Containers Terraform CI/CD Observability Microservices Primary datastore

Representative reference architecture from the NovasIQ engineering practice, illustrating how we approach this pattern. It reflects standard, proven engineering practice — and the API reference architecture in the source material — rather than a specific named client engagement, and outcomes are described qualitatively. Industry figures are drawn from public research: Postman, MuleSoft and Stack Overflow.

More case studies