Question 1

How does Goflow compare to Apache Airflow?

Accepted Answer

Goflow is a lightweight, single-binary alternative to Airflow, ideal for small to medium Go-based projects with simple deployment needs, but it lacks Airflow's extensive plugin ecosystem, scalability, and mature UI. Airflow is better for large-scale, complex workflows with a rich operator library.

Question 2

How to add custom retry logic in Goflow?

Accepted Answer

Configure retries per task using built-in strategies like ConstantDelay or ExponentialBackoff, as shown in the README's retry example. Set the Retries and RetryDelay fields in the Task struct, but note that custom retry strategies beyond these require code modifications.

Question 3

What happens if Goflow crashes during job execution?

Accepted Answer

Execution history can be recovered if using a persistent storage backend like Postgres or Redis via gokv, as mentioned in the storage section. However, in-memory storage loses data on crash, so production deployments should use external stores.

Question 4

Can I integrate Goflow with an external dashboard?

Accepted Answer

Yes, Goflow provides a RESTful API with endpoints for job management and a /stream SSE endpoint for real-time updates, allowing integration with custom monitoring tools, as detailed in the API section.

Question 5

How to schedule jobs dynamically in Goflow?

Accepted Answer

Jobs are defined programmatically in Go code and can be toggled via the API or dashboard, but dynamic scheduling (e.g., based on external events) requires custom logic since DAGs are static at runtime.

Question 6

Is Goflow suitable for Kubernetes deployments?

Accepted Answer

Yes, it can be containerized and run on Kubernetes, but since it's a single binary without native clustering, you'd need to manage scalability and storage persistence manually, unlike orchestration-focused tools.

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