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<@U04S8PLJWMT> Is it possible to start Airbyte usi...
# replication-ask-ai
r
@kapa.ai Is it possible to start Airbyte using abctl and have it exposed only on 127.0.0.1:8000, not on 0.0.0.0:8000 ?
k
Based on the available knowledge sources, this is not straightforwardly supported by 
abctl
as a built-in option. A GitHub issue (#58636) was filed specifically requesting the ability to prevent 
abctl
from exposing port 8000 on all network interfaces (i.e., 
0.0.0.0:8000
). The response from an Airbyte contributor was: [abctl port expose issue] > "I don't think this is a use case for abctl which is a tool for dev-quick deploys. You can probably configure this with a custom values.yaml and helm chart." The 
abctl local install
command does support a 
--port
flag to change the port number, but there is no documented 
--bind-address
or equivalent flag to restrict the listening address to 
127.0.0.1
only. [abctl reference] The suggested workaround from the issue discussion was to use a custom 
values.yaml
 with the Helm chart, though the knowledge sources do not provide specific details on how to configure this to bind only to 
127.0.0.1
. If your goal is to secure the deployment, Airbyte's documentation recommends deploying Airbyte behind a reverse proxy (e.g., nginx) to handle SSL and access control, rather than relying on `abctl`'s port binding behavior. [abctl port expose issue] In summary: no native 
abctl
flag exists to restrict binding to 
127.0.0.1
only, and this use case is considered outside the intended scope of 
abctl
. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
@kapa.ai I want to set up a reverse proxy on the same virtual machine as Airbytectl, exposing the port only within the Docker network.
k
The knowledge sources do not contain specific details about configuring a reverse proxy within the same VM's Docker network to restrict `abctl`'s port exposure internally. What the documentation does confirm is the general recommended approach for securing Airbyte with a reverse proxy. Here is the example nginx reverse proxy configuration provided in Airbyte's security documentation: [security docs]
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server {
  listen 443 ssl;
  server_name airbyte.<your-domain>.com;
  client_max_body_size 200M;  # required for Airbyte API
  ssl_certificate <path-to-your-cert>.crt.pem;
  ssl_certificate_key <path-to-your-key>.key.pem;

  location / {
    proxy_pass http://127.0.0.1:8000;
    proxy_set_header Cookie $http_cookie;  # if you use Airbytes basic auth
    proxy_read_timeout 3600;  # set a number in seconds suitable for you
  }
}
This config proxies traffic from HTTPS (port 443) to Airbyte running on 
127.0.0.1:8000
, which aligns with your goal of having the reverse proxy on the same VM. However, as noted in the previous answer, 
abctl
itself does not provide a flag to bind only to 
127.0.0.1
ā€” it exposes on 
0.0.0.0:8000
by default. The knowledge sources do not provide a documented method to restrict this at the 
abctl
level. The Airbyte contributor's suggestion was to use a custom 
values.yaml
 with the Helm chart for more advanced network configuration, but no specifics are provided in the available documentation. [abctl port expose issue] For the reverse proxy setup itself (nginx config, Docker networking details, etc.), you would need to consult resources beyond what Airbyte's documentation covers. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
@kapa.ai Other possible way to have HTTPS ?
k
Based on the knowledge sources, here are the documented ways to enable HTTPS for your Airbyte deployment: 1. Reverse Proxy (already discussed) Deploy Airbyte behind an nginx reverse proxy handling SSL termination, as shown in the previous answer. [security docs] 2. Kubernetes Ingress with TLS (Helm deployments) If you use Helm, you can configure TLS directly in your `values.yaml`:
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ingress:
  enabled: true
  className: "nginx"
  hosts:
    - host: airbyte.example.com
      paths:
        - path: /
          pathType: Prefix
          backend: server
        - path: /connector-builder
          pathType: Prefix
          backend: connector-builder-server
  tls:
    - secretName: airbyte-tls
      hosts:
        - airbyte.example.com
For TLS certificate management, Airbyte's docs recommend tools like cert-manager or your cloud provider's certificate service. [ingress docs] 3. AWS ALB + AWS Certificate Manager If deployed on AWS/EKS, you can use an Application Load Balancer combined with AWS Certificate Manager (ACM) for TLS. [ingress docs] 4. Cloud Provider IAM Proxies ā€¢ GCP: Use Identity-Aware Proxy ā€¢ AWS: Use AWS Systems Manager Session Manager [security docs] Since you're using 
abctl
on a single VM, the reverse proxy approach (option 1) is the most applicable. The Helm-based ingress options (2 & 3) require a Kubernetes cluster setup beyond what 
abctl
is designed for. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
@kapa.ai Can't i simply edit values.yaml when deployijng with abctl ?
k
Yes, you can! When deploying with 
abctl
, you can pass a custom 
values.yaml
file using the 
--values
flag:
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abctl local install --values values.yaml
You can also combine it with Kubernetes secrets if needed:
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abctl local install --secret YOUR_SECRET --values values.yaml
[abctl docs] This allows you to customize the Airbyte Helm chart installation, including ingress/TLS configuration. However, there is an important caveat noted in a GitHub issue: for 
abctl
specifically, the ingress rules are already wrapped by 
abctl
internally, which means not all ingress-related values can be overridden via 
values.yaml
 the same way a pure Helm deployment would allow. [abctl ingress issue] So while 
--values
gives you some customization ability, the extent to which you can control networking details like TLS or port binding through it may be limited compared to a full Helm chart deployment. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
@kapa.ai Is it possible to run multiple instance of airbyte with abctl on the same machine ?
k
The knowledge sources do not contain any information about running multiple instances of Airbyte with 
abctl
on the same machine. What the documentation does describe is that 
abctl
creates a single Kubernetes cluster named 
airbyte-abctl
using 
kind
, and installs Airbyte into it. [abctl docs] There is no mention of multi-instance support or flags to isolate separate instances. Given this limitation in the available documentation, I cannot confirm whether this is possible or not. For a more definitive answer, I'd suggest checking the Airbyte GitHub repository or the Airbyte community forum. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
@kapa.ai Can't create multiple clusters ?
k
The knowledge sources do not contain any information about creating multiple 
kind
clusters with 
abctl
or running multiple Airbyte instances on the same machine. 
abctl
is documented as a tool that creates a single cluster named 
airbyte-abctl
and manages a single local Airbyte instance. [abctl docs] There is no mention of flags or options to create additional named clusters or isolated instances. For a definitive answer on whether multiple clusters are supported, I'd recommend checking the Airbyte GitHub repository or the Airbyte community forum. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
@kapa.ai Wheb setting up MS SQL source, I have the following error : Failed to Save XYZ fue to the following error : errors.http.default
k
The knowledge sources do not contain specific information about a "Failed to Save XYZ due to errors.http.default" error when setting up an MS SQL source in Airbyte. However, based on the knowledge sources, here are the most common errors encountered when setting up an MSSQL source and their solutions: 1. TLS/SSL Error If you see an error like: > "The server selected protocol version TLS10 is not accepted by client preferences [TLS13, TLS12]" This means your SQL Server is using TLS 1.0, which Airbyte does not support. You need to enable TLS 1.2 or TLS 1.3 on your SQL Server. [MSSQL SSL error] 2. Connection Timeout If you see: > "HikariPool-1 - Connection is not available, request timed out" This is typically a networking/firewall issue ā€” ensure Airbyte's IP is whitelisted on your SQL Server. [MSSQL timeout] 3. TCP/IP Connection Refused If you see a port-related error, check that: ā€¢ The correct port is configured (named instances may not use the default port 1433). [MSSQL connection failed] ā€¢ TCP/IP connections are enabled on your SQL Server. For the specific 
errors.http.default
error you're seeing, this appears to be a generic HTTP error from the Airbyte UI. The knowledge sources do mention a similar HTTP 409 error related to database access issues in Airbyte itself [HTTP 409 error], but not specifically tied to MSSQL source setup. Could you share more details from the logs or the full error message? That would help narrow down the root cause. You can also check the Airbyte community forum for more specific guidance. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
Ways to get more logs ?
@kapa.ai HTTP 504
k
Based on the conversation context (setting up an MS SQL source), an HTTP 504 error when creating/testing a source in Airbyte is a well-known issue typically caused by ingress timeout settings being too short. Root Cause The connection test or schema discovery can take longer than the default 60-second timeout configured on the nginx ingress, causing a 504 Gateway Timeout before the operation completes. [ingress docs] Fix: Increase Ingress Timeout If you're using a Helm deployment with an nginx ingress, add these annotations to your ingress resource:
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apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: airbyte-ingress
  namespace: airbyte
  annotations:
    nginx.ingress.kubernetes.io/proxy-read-timeout: '600'
    nginx.ingress.kubernetes.io/proxy-send-timeout: '600'
This solved the issue for several users. [Google Analytics 504 fix] If Using abctl With 
abctl
, an NGINX ingress is automatically provided and you don't configure it directly. [ingress docs] Some users reported that downgrading to version 1.6.4 resolved networking/504 issues with `abctl`:
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abctl local install --chart-version 1.6.4
[abctl 504 issue] Other Things to Check ā€¢ If no pod is being scheduled in the background when you run the connection test, the issue may be deeper than just a timeout ā€” it could be a workload launcher or scheduler problem. [connection test issue] ā€¢ For MSSQL specifically, also verify that the TCP/IP connection to the host is not blocked by a firewall, as a network-level timeout can also manifest as a 504 in the UI. [MSSQL TCP error] šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
@kapa.ai With abctl without downgrading
k
Based on the knowledge sources, there is no documented way to directly configure the nginx ingress timeout when using 
abctl
without downgrading, since 
abctl
manages the ingress internally and doesn't expose direct ingress annotation configuration through 
values.yaml
. [abctl ingress issue] However, one workaround that has been reported is to increase the server-side timeouts via a custom 
values.yaml
passed to `abctl`:
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server:
  httpIdleTimeout: 20m
  extraEnv:
    - name: READ_TIMEOUT
      value: 30m
Then install with:
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abctl local install --values values.yaml
[scaling docs] Additionally, for MSSQL with a very large number of tables (10,000+), you can also add the discover job timeout:
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worker:
  env:
    - name: DISCOVER_JOB_TIMEOUT_MINUTES
      value: "60"
[MSSQL 413 issue] Beyond these server-side settings, the knowledge sources do not document a supported method to override the nginx ingress timeout annotations when using 
abctl
without downgrading or switching to a full Helm deployment. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
@kapa.ai Add annotations to ingress with valued.yaml
k
Based on the knowledge sources, when using 
abctl
, the ingress is managed internally and the documentation does not confirm that ingress annotations can be overridden via 
values.yaml
in the same way as a pure Helm deployment. [abctl ingress issue] However, for a Helm-based deployment, you can add ingress annotations directly in 
values.yaml
like this:
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ingress:
  enabled: true
  className: "nginx"
  annotations:
    nginx.ingress.kubernetes.io/proxy-read-timeout: "600"
    nginx.ingress.kubernetes.io/proxy-send-timeout: "600"
  hosts:
    - host: airbyte.example.com
      paths:
        - path: /
          pathType: Prefix
          backend: server
        - path: /connector-builder
          pathType: Prefix
          backend: connector-builder-server
  tls: []
[ingress docs] For 
abctl
specifically, a GitHub issue reported that passing ingress configuration via 
values.yaml
did not override the internally managed ingress ā€” it still defaulted to `abctl`'s own ingress settings. [abctl ingress issue] The knowledge sources do not confirm a supported way to inject ingress annotations through 
values.yaml
when using 
abctl
. If you need full control over ingress annotations (e.g., for timeout settings), switching to a full Helm deployment would be the recommended path. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
r
@kapa.ai Error 413 when creating connection from MS SQL source
k
A 413 Request Entity Too Large error when creating a connection from an MS SQL source is a known issue, typically occurring when the MSSQL database has a very large number of tables (10,000+). The schema discovery result exceeds the server's maximum request size limit. [MSSQL 413 issue] Fix: Increase the Server's Max Request Size Pass a custom 
values.yaml
to 
abctl
with the following settings:
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global:
  env_vars:
    MICRONAUT_SERVER_MAX_REQUEST_SIZE: "104857600"  # 100MB

server:
  httpIdleTimeout: 20m
  extraEnv:
    - name: READ_TIMEOUT
      value: 30m

worker:
  env:
    - name: DISCOVER_JOB_TIMEOUT_MINUTES
      value: "60"
Then apply it:
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abctl local install --values values.yaml
[scaling docs; MSSQL 413 issue] Additional Note The issue report also shows that adding nginx ingress annotations via 
values.yaml
was attempted:
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webapp:
  ingress:
    annotations:
      nginx.ingress.kubernetes.io/proxy-body-size: "50m"
However, as discussed earlier in our conversation, 
abctl
manages the ingress internally, so these annotations may not take effect reliably. [MSSQL 413 issue] Alternative Workaround If the above doesn't fully resolve the issue, consider filtering the schemas you want to sync. The MSSQL connector allows you to limit which schemas are discovered, which would reduce the size of the catalog returned. This avoids the need to discover all 10,000+ tables at once. [MSSQL 413 issue] > āš ļø Note: The GitHub issue was closed as stale without a confirmed fix, so results may vary depending on your Airbyte version. šŸ‘ 0 button šŸ‘Ž 0 button ā„¹ļø Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
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