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Infrastructure

Ubujima's infrastructure strategy supports one central goal:

Build reliable systems today while preserving the ability to evolve architecture as products and scale grow.

This public document describes our infrastructure principles rather than exposing internal deployment topology, providers or environment configuration.

Infrastructure Principles​

Reliability​

Services should fail predictably, recover where practical and avoid unnecessary single points of failure as requirements grow.

Security​

Infrastructure must protect user data, credentials, services and privileged operations.

Scalability​

Systems should be able to grow with product demand without requiring premature complexity.

Cost Awareness​

Infrastructure decisions should balance capability, operational effort and sustainable cost.

Portability​

Where practical, system design should avoid unnecessary coupling to a single implementation or provider.

Observability​

Production services should provide enough visibility to understand health, performance and failures.

Automation​

Repeatable deployment, testing and operational tasks should be automated where automation improves reliability and reduces manual risk.

Environment Separation​

Development work should use appropriate separation between environments.

A conceptual model is:

Development
    │
    ▼
Testing / Review
    │
    ▼
Staging
    │
    ▼
Production

The exact environment structure may vary by project.

Contributors should never assume that access to a development project grants access to production systems or production data.

Service-Oriented Infrastructure​

As AfroCom and the wider ecosystem evolve, infrastructure should support independently deployable capabilities where service boundaries justify them.

Clients
   │
   ▼
API / Entry Layer
   │
   ├── Service A
   ├── Service B
   ├── Service C
   └── Shared Platform Capabilities

Different services may have different scaling, availability and data requirements. Infrastructure should support those differences without forcing unnecessary uniformity.

Containers and Deployment Units​

Services should be packaged and deployed in a repeatable way appropriate to the project.

Where containerization is used, images should be:

  • Reproducible
  • Minimal where practical
  • Versioned
  • Scanned and maintained
  • Configured without embedded secrets

The use of containers does not require every project to adopt a complex orchestration platform.

Configuration and Secrets​

Configuration should be separated from application code where practical.

Secrets must not be committed to public repositories.

Examples include:

  • API keys
  • Passwords
  • Private keys
  • Tokens
  • Signing secrets
  • Production credentials

Projects should use approved secret-management and environment-configuration mechanisms.

Deployment Automation​

Deployment processes should become increasingly repeatable and reviewable.

A healthy delivery path may include:

Code Change
    │
    ▼
Automated Checks
    │
    ▼
Build
    │
    ▼
Review / Staging
    │
    ▼
Controlled Release

Exact workflows may differ by repository.

Observability​

Services should provide sufficient operational visibility through appropriate combinations of:

  • Logs
  • Metrics
  • Traces
  • Health checks
  • Alerts

Observability should help answer:

  • Is the service healthy?
  • Is it becoming slower?
  • Are errors increasing?
  • Which dependency is failing?
  • What changed before a problem appeared?

Sensitive user data should not be unnecessarily included in logs or telemetry.

Backups and Recovery​

Projects that maintain important state should define backup and recovery expectations appropriate to the value and sensitivity of that data.

Recovery procedures should be tested rather than assumed.

Data Residency and Regional Architecture​

As the ecosystem grows, regional requirements may influence where services and data are operated.

Decisions may consider:

  • User location
  • Regulatory requirements
  • Latency
  • Availability
  • Cost
  • Data sovereignty

Detailed regional topology remains an internal operational concern unless disclosure is necessary for a specific product or compliance purpose.

Contributor Access​

Access follows least-privilege principles.

Contributors receive the repositories, environments and resources required for approved work. Production systems, confidential data and sensitive infrastructure are restricted according to role and need.

Public vs. Internal Infrastructure Documentation​

Public documentation should explain engineering principles and contributor expectations.

Detailed information such as provider accounts, network topology, production endpoints, internal hostnames, credentials, security controls and migration procedures belongs in controlled internal documentation.

Infrastructure should enable the product—not become the product.