Starting deployment timed out after – How to solve this Elasticsearch exception

Opster Team

August-23, Version: 8.5-8.9

Before you dig into reading this guide, have you tried asking OpsGPT what this log means? You’ll receive a customized analysis of your log.

Try OpsGPT now for step-by-step guidance and tailored insights into your Elasticsearch operation.

Briefly, this error occurs when Elasticsearch takes longer than the specified timeout period to start a deployment. This could be due to resource constraints, network issues, or configuration problems. To resolve this issue, you can try increasing the timeout period, ensuring that there are sufficient resources available, checking the network connectivity, or reviewing the configuration settings. If the problem persists, you may need to investigate the logs for more detailed information about the cause of the timeout.

For a complete solution to your to your search operation, try for free AutoOps for Elasticsearch & OpenSearch . With AutoOps and Opster’s proactive support, you don’t have to worry about your search operation – we take charge of it. Get improved performance & stability with less hardware.

This guide will help you check for common problems that cause the log ” Starting deployment timed out after [{}] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.

Log Context

Log “Starting deployment timed out after [{}]” class name is TrainedModelAssignmentService.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :

 }; predicate; timeout; logger);
 }  public interface WaitForAssignmentListener extends ActionListener {
 default void onTimeout(TimeValue timeout) {
 onFailure(new ElasticsearchStatusException("Starting deployment timed out after [{}]"; RestStatus.REQUEST_TIMEOUT; timeout));
 }
 }  protected void waitForNewMasterAndRetry(
 ClusterStateObserver observer;

 

How helpful was this guide?

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?