System Layer — Shared Services Behind HEPO
Understand HEPO's shared security, data, integration, local AI, workspace, and extension services, and how to evaluate them in your deployment.
Scalability: extend capabilities and plan capacity
Understand HEPO extension paths separately from the infrastructure capacity and verification required as use grows.
Understand HEPO extension paths separately from the infrastructure capacity and verification required as use grows.
HEPO's growth model combines extension of the platform's capabilities with planning for increased operational demand. Registered modules, configured surfaces, and generated artifacts provide ways to add functionality. Capacity planning establishes whether the intended deployment can carry the users, records, processes, files, and inference work involved.
These are related questions, but they need different evidence. A reusable module architecture does not establish a throughput figure or a response-time guarantee.
Add capability through the shared structure
A supported extension can reuse the platform's interface patterns, process registration, record relationships, and services. This gives implementers an established place to connect new work rather than constructing every concern independently.
The three adaptation paths remain distinct: Common Canvas composes existing views, Shared Module configures supported record surfaces, and Code Factory generates module artifacts. The requirement determines which path fits.
Registration is part of integration. Data changes, permissions, business rules, navigation, and compatibility may still need engineering work. Shared foundations reduce repeated structure; they do not remove all maintenance or guarantee that an extension can never affect existing behaviour.
Plan the demand the deployment must carry
| Demand | What to examine |
|---|---|
| Concurrent users | The representative interactions and acceptable response times |
| Records and queries | Data volume, access patterns, growth, and relevant indexing or preparation |
| Processes and integration | Run frequency, external limits, queues, and failure recovery |
| Reports and analysis | Query cost, preparation cadence, and the timing of results |
| Media | File size, storage growth, transfer behaviour, and backup requirements |
| Local inference | Model capacity, context, concurrency, and latency for the intended use |
The organisation supplies its expected workload and service requirements. Implementers establish the topology and measure representative behaviour. A small demonstration dataset should not stand in for the intended operating load.
Grow without losing ownership
Every new capability needs an owner, a maintenance path, and a review of its access and data responsibilities. The same applies to an external integration or a report that becomes operationally important.
Changes to shared definitions and services need compatibility checks for their consumers. A controlled update and recovery path helps the organisation extend the platform with a clear account of what changed and how to respond if the result is unsuitable.
Evaluate the next growth step
Choose a concrete next requirement: another team, a new record structure, a higher-frequency process, or a more demanding AI use. Walk the extension path and test the relevant load rather than relying on a general promise of unlimited scale.
The Deployment page covers topology and operation. Interoperability covers external boundaries. Together they help the organisation plan growth around its actual work.