Science, Service and Technologies

Technology Strategy

Architecture strategy that stays maintainable under real growth.

SciSerTec designs platform architecture around domain boundaries, operational reliability, and long-term change velocity, not short-lived stack fashion.

Strategy Map

How technology decisions are made

Step 1

Domain clarity first

Define bounded contexts, process owners, and data authority before choosing implementation shape.

Step 2

Modular architecture

Separate platform core, workflow modules, and integrations so delivery can scale without coupling drift.

Step 3

Operational engineering

Runbook-ready observability, security controls, and release discipline are part of design from day one.

Reference architecture blueprint

Domain layer

Domain models, workflow rules, policy decisions, and event semantics.

Application layer

Use-case orchestration, authorization boundaries, and transaction/application policies.

Integration layer

API contracts, connectors, retries, idempotency, and data synchronization.

Runtime layer

Cloud topology, observability, deployment automation, and security hardening.

What this looks like in production

Architecture principles are cheap to write down. These are the decisions as they are actually deployed in vCongress today — the platform we operate ourselves, and the one every claim on this page is drawn from.

DecisionAs deployed
Where it runsAWS in Frankfurt (eu-central-1), serverless throughout — no servers to patch, regional redundancy by construction.
DurabilityContinuous point-in-time recovery with a 35-day window on every production table, deletion protection, and versioned object storage.
IdentityPasskey-capable sign-in, optional single sign-on against the customer's own OIDC directory, role-scoped authorisation resolved per request.
TraceabilityDomain events record who did what; every operational log line carries the request, tenant, account and event it belongs to, so one filter reconstructs a whole request.
Change safetyInfrastructure defined as reviewable code. Automated tests across unit, in-memory boundary, persistence and API-contract layers run on every change.
Public surfacesPrerendered static pages with structured data — fast, crawlable, and nothing to exploit at request time.

We hold ourselves to the same rule we apply to clients: a claim that cannot be pointed at in a running system does not belong on a website.

Execution model

1. Architecture baseline

Current-state audit, risk map, and target-state blueprint with measurable system qualities.

2. Migration slices

Incremental delivery slices that reduce risk while keeping the business process operational.

3. Platform hardening

Security, observability, and release governance integrated into the rollout cadence.

4. Continuous evolution

Roadmap-driven module expansion without architecture erosion or platform forks.

Need architecture decisions with delivery ownership?

We can scope your platform target state and define an executable implementation path.