Application plane
Product APIs and UI. They create work; they do not own retries, worker fleets, or long-running orchestration.
Reference Architecture
Reference Architecture
Production data platform with a dedicated execution layer.
This is a reference architecture — a realistic production shape Raideria uses when discussing Data Platforms and Execution Systems. It is not a client case study and does not describe a named customer.
What this system is for
A company needs reliable ingest, transformation, and delivery of data, plus long-running operational work: reconciliation, document generation, AI pipelines, and scheduled synchronization. The web application must stay responsive. Operators must see what ran, what failed, and how to recover.
Layers
Execution plane
Scheduler, queues, workers, per-job logs, structured outputs, and recovery. Dagychu is one realization of this plane. Alternatives exist; the boundary is the point.
Data plane
Ingest, warehouse or lake storage, transformation pipelines, and serving views. Lineage and freshness are first-class concerns.
Control & observability
Dashboards for runs and pipelines, audit of definition changes, alerts tied to actionable states, and runbooks for recovery.
Request path (happy path)
Simplified sequence. Failure and retry paths are separate.
Application
POST work / emit event
Execution API
accept + persist
Scheduler / queue
dispatch
Worker
run job + log
Store
state + outputs
Operator UI
inspect / recover
What this diagram does not claim
- It is not a guarantee that every Raideria engagement looks identical.
- It does not invent throughput, SLA, or customer scale.
- Technology choices inside each box are examples; the boundaries matter more than the brand names.