4 documented GCP Dataflow cost inefficiencies, each with how to detect it and how to fix it.
GCP DataflowCER-0244
When a Dataflow pipeline fails - often due to dependency issues, misconfigurations, or data format mismatches-its worker instances may remain active temporarily until the service terminates them. In some cases, misconfigured jobs, stuck...
GCP DataflowCER-0251
In restricted or isolated network environments, Dataflow workers often cannot reach the public internet to download runtime dependencies. To operate securely, organizations build custom worker images that bundle required libraries....
GCP DataflowCER-0489
Flexible Resource Scheduling (FlexRS) is a Dataflow option for batch pipelines that trades start time for price. Dataflow queues the job and starts it within six hours of creation, and runs it on a mix of preemptible and regular VMs with...
GCP DataflowCER-0490
Every Dataflow streaming job runs in exactly-once mode unless configured otherwise. Exactly-once guarantees that records are not dropped or duplicated, which requires Dataflow to deduplicate and checkpoint state along the pipeline. Google...
