<@U04S8PLJWMT> how to tail logs in a local airbyte...
# replication-ask-ai
m
@kapa.ai how to tail logs in a local airbyte 2.0 deployment? can i use abctl for that? if not, how to?
k
You can’t tail logs directly with
abctl
today; it doesn’t expose a
logs
or
tail
subcommand in the docs.
abctl
is used to install/manage the local cluster, not to stream logs. [[abctl deploy](https://docs.airbyte.com/platform/2.0/deploying-airbyte/abctl); [Developing locally](https://docs.airbyte.com/platform/2.0/contributing-to-airbyte/developing-locally)] For a local Airbyte 2.0 deployment via
abctl
, you have two main options: --- ### 1. Use
kubectl
against the
abctl
kind cluster 1. Export the kubeconfig for the
abctl
cluster:
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bash    kind export kubeconfig -n airbyte-abctl
2. List pods:
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bash    kubectl get pods -n airbyte-abctl
3. Tail logs for a specific pod (e.g. server):
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bash    kubectl logs -n airbyte-abctl airbyte-abctl-server-<pod-id> -f
This streams logs (
-f
= follow). [[Developing locally](https://docs.airbyte.com/platform/2.0/contributing-to-airbyte/developing-locally)] You can use the same pattern for worker, webapp, etc. --- ### 2. Browse per‑job logs from Docker volumes (Open Source) If you want the logs for a specific sync attempt: 1. Find the job and attempt in the UI (e.g. job
9
, attempt
0
→
/tmp/workspace/9/0
). 2. Open a shell into the
airbyte_workspace
Docker volume:
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bash    docker run -it --rm --volume airbyte_workspace:/data busybox    ls /data/9/0
You’ll see
logs.log
and related files. [[Exploring local logs](https://docs.airbyte.com/platform/2.0/operator-guides/browsing-output-logs#exploring-local-logs)] 3. Or run a one‑off command from the host:
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bash    docker run -it --rm --volume airbyte_workspace:/data busybox cat /data/9/0/logs.log
There isn’t documented support for a
tail -f
style stream from that file via `abctl`; you’d need to re‑run the
docker run
command or use
kubectl logs -f
as above.
m
i don't have the kind executable
@kapa.ai i don't have the kind executable
k
A message from kapa.ai
You don’t strictly need the
kind
CLI to view logs; it’s only required if you want to (re)export kubeconfig yourself. The `abctl`‑created cluster is already a kind cluster, and you can talk to it directly with
kubectl
using the kubeconfig that
abctl
wrote. [[Troubleshooting abctl](https://docs.airbyte.com/platform/2.0/deploying-airbyte/troubleshoot-deploy#faq)] Use this pattern: 1. Use the kubeconfig that
abctl
created
(no
kind
needed):
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bash    export KUBECONFIG="$HOME/.airbyte/abctl/abctl.kubeconfig"
2. List pods in the Airbyte namespace:
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bash    kubectl get pods -n airbyte-abctl
3. Tail logs for a pod (e.g. server or worker):
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bash    kubectl logs -n airbyte-abctl <pod-name> -f
-f
follows (tails) the logs. If you want per‑job logs instead (Open Source): 1. Find the job/attempt in the UI (e.g. job
9
, attempt
0
→
/tmp/workspace/9/0
). [[Exploring local logs](https://docs.airbyte.com/platform/2.0/operator-guides/browsing-output-logs#exploring-local-logs)] 2. Inspect the
airbyte_workspace
Docker volume:
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bash    docker run -it --rm --volume airbyte_workspace:/data busybox ls /data/9/0    docker run -it --rm --volume airbyte_workspace:/data busybox cat /data/9/0/logs.log
abctl
itself doesn’t provide a `logs`/`tail` subcommand in the docs; the supported way is via
kubectl
(with the
abctl
kubeconfig) or by reading the Docker volume as above. [[Developing locally](https://docs.airbyte.com/platform/2.0/contributing-to-airbyte/developing-locally); [Troubleshooting abctl](https://docs.airbyte.com/platform/2.0/deploying-airbyte/troubleshoot-deploy#faq)]