Engineering

How we think about building software

Engineering at LipSoft is driven by principles that prioritise maintainability, reliability, and long-term value over architectural fashion.

Architecture

We choose architectural patterns based on the problem, not what is popular. Cloud-native systems, microservices where they justify their complexity, and modular monoliths where they do not. Event-driven patterns for asynchronous workflows. API-first design for clear boundaries. Resilient integrations that handle failure gracefully.

Typical system architectureApplications, APIs, services, data stores and cloud infrastructure
  • Cloud-native systems
  • Microservices where justified
  • Modular monoliths where simpler
  • Event-driven patterns
  • API-first design
  • Asynchronous processing
  • Resilient integrations

Software Quality

Quality is not a separate phase. Maintainable code, automated testing at every level, regular code reviews, and clear domain boundaries. We document decisions, not just APIs. Static analysis and dependency management are part of the daily workflow, not a release gate.

  • Maintainable code
  • Automated testing
  • Code reviews
  • Clear domain boundaries
  • Documentation
  • Static analysis
  • Dependency management

Operations

CI/CD from day one. Observability built in, not bolted on. Logging, metrics, and alerting that tell you what is happening before a customer notices. Incident readiness with clear runbooks. Backup and recovery tested, not assumed.

  • CI/CD
  • Observability
  • Logging
  • Metrics
  • Alerting
  • Incident readiness
  • Backup and recovery

Security

Least privilege by default. Secure secret handling from the start, not as an afterthought. Dependency scanning in CI. Environment isolation. Secure defaults. Audit trails that let you trace what happened and when.

  • Least privilege
  • Secure secret handling
  • Dependency scanning
  • Environment isolation
  • Secure defaults
  • Audit trails

Cost

Architecture proportional to the problem. Avoiding unnecessary complexity that drives up both development and operational cost. Rightsized infrastructure. Cost-aware storage and compute decisions. Measurable cloud spend with regular reviews.

  • Architecture proportional to the problem
  • Avoiding unnecessary complexity
  • Rightsized infrastructure
  • Cost-aware storage and compute
  • Measurable cloud spend
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