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Problems.

Debugging orchestration and DAG failures is hard

Data engineering2 posts from 2 people2d active+00 posts in the last 7 days, 0 the 7 days before (fading)Unverified

Posts per day

Posts per day2 posts, Aug 31 to Sep 25

The posts behind it

2, newest first
PostDate
Proposal: KAFKA CONNECT: JMX metrics for the iceberg-kafka-connect commit pipeline...task happens to hold the coordinator role. There is no time series to alert on, and no way to see whether commits are getting slower before they start failing outright. 2. **Partial vs. full commits.** A timeout-driven partial commit (`iceberg.control.commit.timeout-ms`) means...apache/icebergHenryCaiHaiyingSep 82 weeks ago
`dbt source freshness` logs are not associated with the enclosing task### Bug summary When calling `PrefectDbtRunner.invoke(['source', 'freshness', ...])` inside a Prefect task, logs from source node events appear in the **flow run** only - not in the task that called `invoke()`. ### Steps to reproduce Source freshness logs are missing from the...PrefectHQ/prefectvyagubovAug 313 weeks ago

Companies and products named

Company or productPosts naming it
dbt1
Prefect1
Apache Kafka1
GitHub1
Apache Iceberg1
About this problem

Evidence

2 posts from 2 people in 2 places, about 1 a week over 9 days. Mostly on PrefectHQ/prefect, apache/iceberg. Tools named alongside: dbt, Prefect, Apache Kafka, GitHub.

Frustration Frustration 3 of 3· Seen on GitHub issues

How it was grouped

Posts that state a pain and match the "orchestration-debugging" rule. First post Aug 31, 2026, latest Sep 8, 2026. Unverified: fewer than 3 posts, or one person or place only. Method

The same problem elsewhere

History

  • 2026-09-25 Added: Debugging orchestration and DAG failures is hard (2 posts)

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