Deployment Architecture

Acceso runs as a distributed, cloud-native system. It is designed for high availability and predictable performance. It supports controlled evolution without risky releases.

At a glance

• Independent, stateless services.

• Environment separation (dev, staging, prod).

• Horizontal scaling at the service level.

• Zero-downtime deployments for API-facing services.

• Automated, versioned deployments to reduce operational risk.

Deployment model (how the platform is shipped)

Acceso follows an immutable, versioned release approach. Deployments are automated and repeatable across environments.

Core properties:

• Versioned service artifacts per deployment.

• Consistent rollout mechanics across services.

• Separation between deploy artifacts and runtime configuration.

Service topology (blast radius by default)

Services are independently deployable. They can scale, update, or recover without blocking others.

Operational implications:

• Independent scaling and restart behavior.

• Service-scoped capacity planning.

• Domain-scoped rollouts and rollbacks.

Stateless-by-default keeps rollbacks simple. State changes should be explicit and isolated.

Environments (separation and safety)

Acceso is operated with environment separation:

• Development

• Staging

• Production

Environment separation supports:

• Safer rollout validation.

• Controlled experimentation.

• Reduced configuration drift and accidental coupling.

Scaling and capacity behavior

Scaling happens at the service level. This supports horizontal scalability without global coordination.

Typical scaling levers:

• Add replicas for concurrency.

• Scale the hottest services first.

• Keep upstream pressure bounded with rate limits and caching.

Stateless services

• Easier horizontal scaling.

• Safer restarts and reschedules.

• Lower coupling during deploys.

Stateful components

• Isolate behind stable interfaces.

• Treat schema and retention as contracts.

• Change slowly with explicit safety checks.

Rollout strategy (keeping the API online)

API-facing services support zero-downtime deployments. Rollouts should preserve:

• Backward compatibility at the request boundary.

• Deterministic health checks for readiness.

• Fast rollback paths when error rates rise.

Operator notes (deep dive)

Common release risks to guard against:

• Backward-incompatible request/response changes.

• Cold-start latency spikes from cache warmup.

• Hidden coupling via shared dependencies or config.

Operational mitigations often include:

• Strict health/readiness checks.

• Controlled rollout cadence.

• Version pinning where contracts must not drift.