https://linen.dev logo
Join Slack
Powered by
<@U04SE163WC8> does Airbyte OSS v0.57.3 support th...
# ask-ai
a
@kapa.ai does Airbyte OSS v0.57.3 support the use of external S3 buckets for storing logs? Or does it have to be provisioned on AWS?
k
Yes, Airbyte OSS v0.57.3 supports the use of external S3 buckets for storing logs. You can configure Airbyte to use an external S3 bucket by following the steps outlined in the documentation. Here are the steps to configure external S3 logging: 1. Create a Kubernetes Secret: Create a file called 
airbyte-logs-secrets.yaml
to store the AWS Keys and other information:
Copy code
yaml
    apiVersion: v1  
    kind: Secret  
    metadata:  
      name: airbyte-logs-secrets  
    type: Opaque  
    stringData:  
      AWS_KEY: <AWS_KEY>  
      AWS_SECRET_KEY: <AWS_SECRET_KEY>  
      S3_LOG_BUCKET: <BUCKET_NAME>  
      S3_LOG_BUCKET_REGION: <REGION>
2. Apply the Secret: Run the following command to create the secret in the namespace you're using Airbyte:
Copy code
sh
    kubectl apply -f airbyte-logs-secrets.yaml -n <NAMESPACE>
3. Update Helm Values: Modify your 
values.yaml
file to use the S3 external logs:
Copy code
yaml
    global:  
      state:  
        storage:  
          type: "S3"  
      logs:  
        accessKey:  
          password: ""  
          existingSecret: "airbyte-logs-secrets"  
          existingSecretKey: "AWS_KEY"  
        secretKey:  
          password: ""  
          existingSecret: "airbyte-logs-secrets"  
          existingSecretKey: "AWS_SECRET_KEY"  
        storage:  
          type: "S3"  
      minio:  
        enabled: false
4. Add Extra Environment Variables: Add extra environment variables to the worker and server blocks:
Copy code
yaml
    worker:  
      extraEnv:  
        - name: AWS_ACCESS_KEY_ID  
          valueFrom:  
            secretKeyRef:  
              name: airbyte-logs-secrets  
              key: AWS_KEY  
        - name: AWS_SECRET_ACCESS_KEY  
          valueFrom:  
            secretKeyRef:  
              name: airbyte-logs-secrets  
              key: AWS_SECRET_KEY  
        - name: STATE_STORAGE_S3_ACCESS_KEY  
          valueFrom:  
            secretKeyRef:  
              name: airbyte-logs-secrets  
              key: AWS_KEY  
        - name: STATE_STORAGE_S3_SECRET_ACCESS_KEY  
          valueFrom:  
            secretKeyRef:  
              name: airbyte-logs-secrets  
              key: AWS_SECRET_KEY  
        - name: STATE_STORAGE_S3_BUCKET_NAME  
          valueFrom:  
            secretKeyRef:  
              name: airbyte-logs-secrets  
              key: S3_LOG_BUCKET  
        - name: STATE_STORAGE_S3_REGION  
          valueFrom:  
            secretKeyRef:  
              name: airbyte-logs-secrets  
              key: S3_LOG_BUCKET_REGION
Yes, Airbyte OSS v0.57.3 supports the use of external S3 buckets for storing logs. You can configure Airbyte to use an external S3 bucket by following the steps outlined in the documentation. Here are the steps to configure external S3 logging: 1. Create a Kubernetes Secret: Create a file called 
airbyte-logs-secrets.yaml
to store the AWS Keys and other information:
Copy code
yaml     apiVersion: v1       kind: Secret       metadata:         name: airbyte-logs-secrets       type: Opaque       stringData:         AWS_KEY: <AWS_KEY>         AWS_SECRET_KEY: <AWS_SECRET_KEY>         S3_LOG_BUCKET: <BUCKET_NAME>         S3_LOG_BUCKET_REGION: <REGION>
2. Apply the Secret: Run the following command to create the secret in the namespace you're using Airbyte:
Copy code
sh     kubectl apply -f airbyte-logs-secrets.yaml -n <NAMESPACE>
3. Update Helm Values: Modify your 
values.yaml
file to use the S3 external logs:
Copy code
yaml     global:         state:           storage:             type: "S3"         logs:           accessKey:             password: ""             existingSecret: "airbyte-logs-secrets"             existingSecretKey: "AWS_KEY"           secretKey:             password: ""             existingSecret: "airbyte-logs-secrets"             existingSecretKey: "AWS_SECRET_KEY"           storage:             type: "S3"         minio:           enabled: false
4. Add Extra Environment Variables: Add extra environment variables to the worker and server blocks:
Copy code
yaml     worker:         extraEnv:           - name: AWS_ACCESS_KEY_ID             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: AWS_KEY           - name: AWS_SECRET_ACCESS_KEY             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: AWS_SECRET_KEY           - name: STATE_STORAGE_S3_ACCESS_KEY             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: AWS_KEY           - name: STATE_STORAGE_S3_SECRET_ACCESS_KEY             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: AWS_SECRET_KEY           - name: STATE_STORAGE_S3_BUCKET_NAME             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: S3_LOG_BUCKET           - name: STATE_STORAGE_S3_REGION             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: S3_LOG_BUCKET_REGION
Similarly, update the server block: ```yaml server: extraEnv: - name: AWS_ACCESS_KEY_ID valueFrom: secretKeyRef: name: airbyte-logs-secrets key: AWS_KEY - name: AWS_SECRET_ACCESS_KEY valueFrom: secretKeyRef: name: airbyte-logs-secrets key: AWS_SECRET_KEY - name: STATE_STORAGE_S3_ACCESS_KEY valueFrom: secretKeyRef: name: airbyte-logs-secrets key: AWS_KEY -
a
@kapa.ai When doing that, I get the following error on the web UI when trying to view the logs:
Copy code
"Caused by: software.amazon.awssdk.core.exception.SdkClientException: Unable to execute HTTP request: airbyte-dev-logs.s3.<bucket_name>.amazonaws.com
k
A message from kapa.ai
It looks like you're encountering a DNS issue when trying to access your S3 bucket for logs. This is a known issue that has been discussed in the Airbyte community. Here are a few steps you can take to troubleshoot and resolve this issue: 1. Check DNS Configuration: Ensure that your DNS settings are correctly configured and that your environment can resolve the S3 bucket's DNS name. 2. Verify AWS Credentials: Make sure that the AWS credentials provided in the Kubernetes secret are correct and have the necessary permissions to access the S3 bucket. 3. Network Configuration: Ensure that your network configuration allows outbound traffic to the S3 endpoint. This might involve checking security groups, VPC settings, and firewall rules. 4. Retry Mechanism: The error logs indicate that the AWS SDK is retrying the request multiple times. Ensure that the retry mechanism is properly configured and that there are no network interruptions. Here is an example of the error you might see:
Copy code
Caused by: software.amazon.awssdk.core.exception.SdkClientException: Unable to execute HTTP request: airbyte-dev-logs.s3.<bucket_name>.<http://amazonaws.com|amazonaws.com>
### Example Configuration for S3 Logging Ensure your Kubernetes secret and Helm values are correctly set up as follows: Kubernetes Secret (
airbyte-logs-secrets.yaml
):
Copy code
yaml
apiVersion: v1  
kind: Secret  
metadata:  
  name: airbyte-logs-secrets  
type: Opaque  
stringData:  
  AWS_KEY: <AWS_KEY>  
  AWS_SECRET_KEY: <AWS_SECRET_KEY>  
  S3_LOG_BUCKET: <BUCKET_NAME>  
  S3_LOG_BUCKET_REGION: <REGION>
Helm Values (
values.yaml
):
Copy code
yaml
global:  
  state:  
    storage:  
      type: "S3"  
  logs:  
    accessKey:  
      password: ""  
      existingSecret: "airbyte-logs-secrets"  
      existingSecretKey: "AWS_KEY"  
    secretKey:  
      password: ""  
      existingSecret: "airbyte-logs-secrets"  
      existingSecretKey: "AWS_SECRET_KEY"  
    storage:  
      type: "S3"  
  minio:  
    enabled: false
It looks like you're encountering a DNS issue when trying to access your S3 bucket for logs. This is a known issue that has been discussed in the Airbyte community. Here are a few steps you can take to troubleshoot and resolve this issue: 1. Check DNS Configuration: Ensure that your DNS settings are correctly configured and that your environment can resolve the S3 bucket's DNS name. 2. Verify AWS Credentials: Make sure that the AWS credentials provided in the Kubernetes secret are correct and have the necessary permissions to access the S3 bucket. 3. Network Configuration: Ensure that your network configuration allows outbound traffic to the S3 endpoint. This might involve checking security groups, VPC settings, and firewall rules. 4. Retry Mechanism: The error logs indicate that the AWS SDK is retrying the request multiple times. Ensure that the retry mechanism is properly configured and that there are no network interruptions. Here is an example of the error you might see:
Copy code
Caused by: software.amazon.awssdk.core.exception.SdkClientException: Unable to execute HTTP request: airbyte-dev-logs.s3.<bucket_name>.<http://amazonaws.com|amazonaws.com>
### Example Configuration for S3 Logging Ensure your Kubernetes secret and Helm values are correctly set up as follows: Kubernetes Secret (
airbyte-logs-secrets.yaml
):
Copy code
yaml apiVersion: v1   kind: Secret   metadata:     name: airbyte-logs-secrets   type: Opaque   stringData:     AWS_KEY: <AWS_KEY>     AWS_SECRET_KEY: <AWS_SECRET_KEY>     S3_LOG_BUCKET: <BUCKET_NAME>     S3_LOG_BUCKET_REGION: <REGION>
Helm Values (
values.yaml
):
Copy code
yaml global:     state:       storage:         type: "S3"     logs:       accessKey:         password: ""         existingSecret: "airbyte-logs-secrets"         existingSecretKey: "AWS_KEY"       secretKey:         password: ""         existingSecret: "airbyte-logs-secrets"         existingSecretKey: "AWS_SECRET_KEY"       storage:         type: "S3"     minio:       enabled: false
Extra Environment Variables for Worker and Server:
Copy code
yaml worker:     extraEnv:       - name: AWS_ACCESS_KEY_ID         valueFrom:           secretKeyRef:             name: airbyte-logs-secrets             key: AWS_KEY       - name: AWS_SECRET_ACCESS_KEY         valueFrom:           secretKeyRef:             name: airbyte-logs-secrets             key: AWS_SECRET_KEY       - name: STATE_STORAGE_S3_ACCESS_KEY         valueFrom:           secretKeyRef:             name: airbyte-logs-secrets             key: AWS_KEY       - name: STATE_STORAGE_S3_SECRET_ACCESS_KEY         valueFrom:           secretKeyRef:             name: airbyte-logs-secrets             key: AWS_SECRET_KEY       - name: STATE_STORAGE_S3_BUCKET_NAME         valueFrom:           secretKeyRef:             name: airbyte-logs-secrets             key: S3_LOG_BUCKET       - name: STATE_STORAGE_S3_REGION         valueFrom:           secretKeyRef:             name: airbyte-logs-secrets             key: S3_LOG_BUCKET_REGION
Similarly, update the server block: ```yaml server: extraEnv: - name: AWS_ACCESS_KEY_ID value
a
@kapa.ai Can I set a custom endpoint for my S3 storage?
k
A message from kapa.ai
Yes, you can set a custom endpoint for your S3 storage in Airbyte. This is particularly useful if you are using an S3-compatible storage service other than AWS S3, such as MinIO or another cloud provider. ### Setting a Custom Endpoint To set a custom endpoint for your S3 storage, you need to provide the endpoint URL in your configuration. Here are the steps to do this: 1. Create a Kubernetes Secret: Create a file called 
airbyte-logs-secrets.yaml
to store the AWS Keys and other information, including the custom endpoint:
Copy code
yaml
    apiVersion: v1  
    kind: Secret  
    metadata:  
      name: airbyte-logs-secrets  
    type: Opaque  
    stringData:  
      AWS_KEY: <AWS_KEY>  
      AWS_SECRET_KEY: <AWS_SECRET_KEY>  
      S3_LOG_BUCKET: <BUCKET_NAME>  
      S3_LOG_BUCKET_REGION: <REGION>  
      S3_ENDPOINT: <CUSTOM_ENDPOINT>  # Add your custom endpoint here
2. Apply the Secret: Run the following command to create the secret in the namespace you're using Airbyte:
Copy code
sh
    kubectl apply -f airbyte-logs-secrets.yaml -n <NAMESPACE>
3. Update Helm Values: Modify your 
values.yaml
file to use the S3 external logs and include the custom endpoint:
Copy code
yaml
    global:  
      state:  
        storage:  
          type: "S3"  
      logs:  
        accessKey:  
          password: ""  
          existingSecret: "airbyte-logs-secrets"  
          existingSecretKey: "AWS_KEY"  
        secretKey:  
          password: ""  
          existingSecret: "airbyte-logs-secrets"  
          existingSecretKey: "AWS_SECRET_KEY"  
        storage:  
          type: "S3"  
      minio:  
        enabled: false
Yes, you can set a custom endpoint for your S3 storage in Airbyte. This is particularly useful if you are using an S3-compatible storage service other than AWS S3, such as MinIO or another cloud provider. ### Setting a Custom Endpoint To set a custom endpoint for your S3 storage, you need to provide the endpoint URL in your configuration. Here are the steps to do this: 1. Create a Kubernetes Secret: Create a file called 
airbyte-logs-secrets.yaml
to store the AWS Keys and other information, including the custom endpoint:
Copy code
yaml     apiVersion: v1       kind: Secret       metadata:         name: airbyte-logs-secrets       type: Opaque       stringData:         AWS_KEY: <AWS_KEY>         AWS_SECRET_KEY: <AWS_SECRET_KEY>         S3_LOG_BUCKET: <BUCKET_NAME>         S3_LOG_BUCKET_REGION: <REGION>         S3_ENDPOINT: <CUSTOM_ENDPOINT>  # Add your custom endpoint here
2. Apply the Secret: Run the following command to create the secret in the namespace you're using Airbyte:
Copy code
sh     kubectl apply -f airbyte-logs-secrets.yaml -n <NAMESPACE>
3. Update Helm Values: Modify your 
values.yaml
file to use the S3 external logs and include the custom endpoint:
Copy code
yaml     global:         state:           storage:             type: "S3"         logs:           accessKey:             password: ""             existingSecret: "airbyte-logs-secrets"             existingSecretKey: "AWS_KEY"           secretKey:             password: ""             existingSecret: "airbyte-logs-secrets"             existingSecretKey: "AWS_SECRET_KEY"           storage:             type: "S3"         minio:           enabled: false
4. Add Extra Environment Variables: Add extra environment variables to the worker and server blocks, including the custom endpoint:
Copy code
yaml     worker:         extraEnv:           - name: AWS_ACCESS_KEY_ID             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: AWS_KEY           - name: AWS_SECRET_ACCESS_KEY             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: AWS_SECRET_KEY           - name: STATE_STORAGE_S3_ACCESS_KEY             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: AWS_KEY           - name: STATE_STORAGE_S3_SECRET_ACCESS_KEY             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: AWS_SECRET_KEY           - name: STATE_STORAGE_S3_BUCKET_NAME             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: S3_LOG_BUCKET           - name: STATE_STORAGE_S3_REGION             valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: S3_LOG_BUCKET_REGION           - name: STATE_STORAGE_S3_ENDPOINT  # Add the custom endpoint here           valueFrom:               secretKeyRef:                 name: airbyte-logs-secrets                 key: S3_ENDPOINT
Similarly, update the server block: ```yaml server: extraEnv: - name: AWS_ACCESS_KEY_ID
Open in Slack
PreviousNext
Powered by