Event-driven execution
Accept API calls and webhooks into a validated event envelope. Route work by event type and version rather than implicit application conventions.
Products ASTER Flow
Durable orchestration
Orchestrate beyond the request.
A proposed execution layer for the work that outlives an HTTP request: asynchronous jobs, model pipelines, and reliable callbacks.
Architecture Preview
01Receive event
02Process document
03Generate result
04Deliver callback
Proposed workflow · Checkpoints & bounded retries
The challenge
A clearer boundary. A better system.
Long-running tasks do not fit neatly inside a synchronous request. Network failures, duplicate events, and interrupted workers turn a simple pipeline into a difficult recovery problem.
The approach
ASTER Flow
Flow would make execution state explicit. Events enter a queue, workers carry out bounded steps, and persisted state records what has completed and what can be retried.
Product direction
Designed around the decisions that matter.
Proposed capabilities guide the engineering work. Their implementation is a separate validation step.
Retries with boundaries
Apply bounded exponential backoff with jitter. Move exhausted jobs to a dead-letter path for inspection and deliberate replay.
Stateful coordination
Record step results, idempotency keys, and callback delivery state. Define cancellation as a cooperative state transition, not an instant rollback.
Under the surface
Understand the system path.
- 01
API / webhook
Validate the event
- 02
Event router
Select a workflow
- 03
Queue
At-least-once delivery
- 04
Workers
Execute bounded steps
- 05
State store
Persist checkpoints
- 06
Callback
Deliver the outcome
- STEP 1
Accept document
Validate input · Assign idempotency key
- STEP 2
Extract & normalize
Worker step · Persist checkpoint
- STEP 3
Generate structured result
Gateway call · Validate output schema
- STEP 4
Deliver callback
Signed payload · Record delivery state
Engineering considerations
The tradeoffs belong in the design.
- Duplicates are expected
- At-least-once delivery means a worker may see an event again. Side effects need idempotency keys and deduplication; exactly-once execution is not assumed.
- Partial failure
- Persist completion before acknowledging work. Design compensation for irreversible side effects and define when a replay is safe.
- Timeouts and cancellation
- Limit each attempt, propagate deadlines, and check cancellation between steps. A provider call already in progress may still complete.
Practical contexts
Where the architecture earns its place.
Document enrichment
Extract content, request a model result, validate structured output, and notify the calling application after completion.
Media processing
Queue metadata extraction and thumbnail generation without blocking library browsing or upload acknowledgement.
Development direction
Built in deliberate steps.
Architecture Preview
An architecture concept for asynchronous execution. The workflow study illustrates proposed behavior; no queue, worker service, or durable job API is shipped by this website.
- PHASE 01
Execution semantics
Define event schemas, state transitions, retry classification, and cancellation behavior.
- PHASE 02
Failure-driven prototype
Simulate duplicate delivery, worker interruption, callback failure, and manual replay.
- PHASE 03
Composable workflows
Explore typed steps and integration with Gateway and Media after recovery behavior is validated.
Proposed sequence. Milestones describe validation goals, not release commitments.
Connected by design
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