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Based on the information provided in the knowledge sources, it appears that your EC2 instance specifications (4 CPUs, 16 GB RAM, 500 GB SSD) should be sufficient to run Airbyte. However, the error message suggests that there might be resource constraints preventing the sync process from starting. Let's explore some potential solutions: 1. Low Resource Mode: If you're using

abctl

, you can try running Airbyte in low resource mode. This mode is designed to work with 2 CPUs and 8 GB of RAM, which your instance exceeds. You can use the following command:

abctl local install --low-resource-mode

[Source](https://docs.airbyte.com/using-airbyte/getting-started/oss-quickstart#suggested-resources) 2. Check Resource Allocation: Ensure that Docker is allowed to use the full resources of your EC2 instance. By default, Docker doesn't limit resource usage among containers, but it's worth verifying your Docker settings. 3. Increase Worker Limits: You can try increasing the number of workers by setting the following environment variables:

AIRBYTE__MAX_DISCOVER_WORKERS=10    AIRBYTE__MAX_SYNC_WORKERS=10

[Source](https://github.com/airbytehq/airbyte/issues/44833) 4. Adjust Job Container Resources: You can fine-tune the resources allocated to job containers by setting these environment variables:

JOB_MAIN_CONTAINER_MEMORY_REQUEST    JOB_MAIN_CONTAINER_MEMORY_LIMIT    JOB_MAIN_CONTAINER_CPU_REQUEST    JOB_MAIN_CONTAINER_CPU_LIMIT

[Source](https://discuss.airbyte.io/t/861) 5. Check System Load: Ensure that no other processes on your EC2 instance are consuming significant resources that might prevent Airbyte from starting its sync process. 6. Verify Docker Volume: Make sure you have sufficient space in your Docker volumes and that there are no issues with Docker's storage driver. If these steps don't resolve the issue, you may want to check the Airbyte server logs for more detailed error messages. You can access these logs using:

docker logs airbyte-server

If the problem persists, consider opening a new issue on the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte) with detailed logs and your configuration for further assistance.

I apologize, but I don't have specific information about changing those parameters using abctl in Airbyte version 1.1.0. The knowledge sources provided don't contain details about using abctl for this purpose or about version 1.1.0 specifically. However, I can provide some general information about configuring these parameters in Airbyte: These parameters are typically set as environment variables in Airbyte's configuration. They control the CPU and memory resources allocated to job containers [Configuring Instance-Wide Requirements](https://docs.airbyte.com/operator-guides/configuring-connector-resources#configuring-instance-wide-requirements). The format for setting these variables is:

JOB_MAIN_CONTAINER_MEMORY_REQUEST=<value> JOB_MAIN_CONTAINER_MEMORY_LIMIT=<value> JOB_MAIN_CONTAINER_CPU_REQUEST=<value> JOB_MAIN_CONTAINER_CPU_LIMIT=<value>

For memory, you can use units like "2g" for 2 gigabytes. For CPU, you express it as a percentage of a single core, e.g., "0.50" for 50% of a core [Forum Post: How to specify CPU,MEMORY limit in .env](https://discuss.airbyte.io/t/1675). If you're using a deployment method that uses a .env file or similar configuration, you would typically modify these values there. However, for the specific method of changing these using abctl in version 1.1.0, I don't have accurate information to provide.