Data & scale
Maintra stores EAM records, audit, idempotency receipts, background job claims and workflow state in the database. API, worker and database capacity can be scaled independently. Redis remains optional.
Plan a technical reviewReference topology
API containers and workers commit business changes, receipts and audit records through the database. Caches and edge services can reduce selected read or coordination workloads.
The database provides the transaction boundary.
Transactional state
Work status changes, material activity, approvals, action receipts and audit records commit inside the same database transaction. This avoids partial writes across separate durable stores.
Database reads
Server-backed search, filters and paginated projections prevent browsers and mobile clients from loading entire record sets. Database extensions and indexes are applied where query evidence shows a benefit.
Connection planning
Each API process has a defined connection pool and overflow limit. The capacity plan accounts for every API and worker replica before adding pooling proxies, read projections or database replicas.
Optional Redis
The database stores workflow state and durable background job claims. Redis can serve selected caching, rate-limiting or ephemeral coordination needs when tests show enough benefit to justify another service.
Implementation constraint
API containers and workers can scale horizontally while the database scales through compute, storage, pooling, indexes, replicas and availability controls. A million-request target still needs a defined time window, record volume, query mix, write contention and attachment profile before it becomes a testable requirement.
Related decisions
Use a representative asset, work order, access model and operational handoff to assess product fit.