how to use locally airbyte with colima instead of ...
# replication-ask-ai
s
how to use locally airbyte with colima instead of docker desktop?
k
Based on the knowledge sources provided, there is no specific guide on how to use Airbyte locally with Colima instead of Docker Desktop. However, there is a mention of a user trying to run Airbyte locally on a Mac M1 using Colima in a [Github issue](https://github.com/airbytehq/airbyte/issues/24844). The user faced some issues, but it was later mentioned in the comments that Airbyte is currently working on Colima. Here are the steps the user followed: 1. Install lima and colima on Mac M1. 2. Run
./run-ab-platform.sh
Please note that these steps might not be comprehensive and you might face issues. It's recommended to refer to the official Airbyte and Colima documentation or community for more detailed instructions.
s
@kapa.ai Airbyte is temporarily unavailable. Please try again. (HTTP 502)
k
The HTTP 502 error typically indicates that a server, while acting as a gateway or proxy, received an invalid response from an inbound server it accessed while attempting to fulfill the request. This could be due to a variety of reasons such as server timeout, network issues, or problems with the specific data source or destination you're trying to connect to. Here are a few steps you can take to troubleshoot this issue: 1. Check Server Timeout: One possible reason for this could be that the server is taking too long to respond, causing a timeout. You might want to check the server timeout time and consider increasing it if necessary. This was suggested by a maintainer in a [similar issue](https://github.com/airbytehq/airbyte/discussions/37798) on the Airbyte Github discussions. 2. Test with Other Sources/Destinations: To help understand if the error is related to the platform or the specific source/destination you're trying to connect to, you could try connecting to other sources like Github, CSV, or a local Postgres database and see if you encounter the same issue. This was also suggested in the [same discussion](https://github.com/airbytehq/airbyte/discussions/37798). 3. Check Logs: If you have access to the logs of your Airbyte instance, they might provide more detailed information about what's causing the error. For example, in a [forum post](https://discuss.airbyte.io/t/1207), users shared their logs to help diagnose a similar issue. If none of these steps help resolve the issue, I would recommend reaching out to the Airbyte community on their [Github discussions](https://github.com/airbytehq/airbyte/discussions) or [community forum](https://discuss.airbyte.io/) for further assistance.
s
@kapa.ai 2024-05-24 091030 ERROR i.m.s.DefaultTaskExceptionHandler(handle):47 - Error invoking scheduled task for bean [io.airbyte.cron.jobs.SelfHealTemporalWorkflows@40896c6b] RESOURCE_EXHAUSTED: namespace rate limit exceeded airbyte-cron | io.grpc.StatusRuntimeException: RESOURCE_EXHAUSTED: namespace rate limit exceeded
k
A message from kapa.ai
The error message you're seeing indicates that the
airbyte-cron
service is encountering a
RESOURCE_EXHAUSTED
error due to namespace rate limit being exceeded. This issue has been reported by other users as well and is being tracked in this [Github issue](https://github.com/airbytehq/airbyte/issues/30691). Here are some potential solutions that have been suggested: 1. Upgrade Temporal Version: One of the maintainers suggested upgrading the Temporal version to
1.22.2
as it seemed to solve the issue for them. You can do this by updating the
tag
in your Temporal image configuration to
1.22.2
as shown in this [discussion](https://github.com/airbytehq/airbyte/discussions/30472).
Copy code
YAML image:     repository: temporalio/auto-setup     pullPolicy: IfNotPresent     tag: "1.22.2"
2. Reinstall Airbyte: Another user suggested uninstalling Airbyte, deleting the Airbyte namespace, deleting the temporal and temporal_visibility databases (if you're using an external Postgres), and then reinstalling Airbyte. This was mentioned in the comments of the same [Github issue](https://github.com/airbytehq/airbyte/issues/30691). Please note that these are potential solutions and might not necessarily resolve your issue. If the problem persists, I would recommend reaching out to the Airbyte community on their [Github discussions](https://github.com/airbytehq/airbyte/discussions) or [community forum](https://discuss.airbyte.io/) for further assistance.