Question 1

How to deploy Cadence on Kubernetes?

Accepted Answer

Use the official Helm chart from cadence-charts or the KubeStellar Console for a guided installation, which includes step-by-step missions with pre-flight checks and rollback support, as mentioned in the Kubernetes deployment section.

Question 2

Cadence vs Temporal: which one should I choose?

Accepted Answer

Temporal is a fork of Cadence with additional features and active development; Cadence is battle-tested at Uber but has a steeper setup, while Temporal offers a more managed experience. Consider your team's operational capacity and need for community support when deciding.

Question 3

Can I use Cadence with Python?

Accepted Answer

Yes, but through an unofficial community SDK (cadence-python), which may lack the full feature set and support of the official Go and Java SDKs. For production use, assess its stability and update frequency carefully.

Question 4

What databases does Cadence support for persistence?

Accepted Answer

Cadence supports Cassandra, MySQL, and PostgreSQL for storing workflow state, allowing integration with various existing database infrastructures, as detailed in the key features and schema tools documentation.

Question 5

How to monitor workflows in Cadence?

Accepted Answer

Use the built-in Web UI available at localhost:8088 when running locally, or deploy Cadence Web for production, which provides detailed histories and traces for observability, as referenced in the UI section.

Question 6

Is Cadence good for short-lived tasks?

Accepted Answer

Cadence is optimized for long-running workflows; for short-lived tasks, it might introduce unnecessary overhead due to its distributed architecture. Consider lighter solutions like message queues for such scenarios.

Cadence (.2k)

What is Cadence (.2k)?

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