tcp.Mux: cannot read header byte: EOF

Hello InfluxDB Community,

I’m currently facing an issue with InfluxDB 1.8 running in an AWS ECS environment. The logs show a recurring error message:

tcp.Mux: cannot read header byte: EOF

Context and Background:

  • InfluxDB Version: 1.8
  • Deployment Environment: AWS ECS
  • Initial Resource Allocation: 4GB Memory
  • Current Resource Allocation: Increased to 15GB Memory

Error Description:

The error “tcp.Mux: cannot read header byte: EOF” appears repeatedly in the logs. Here is a sample log entry:

tcp.Mux: cannot read header byte: EOF

Troubleshooting Steps Taken:

  1. Increased Memory Allocation: Increased the memory from 4GB to 15GB, but the issue persists.
  2. Network Checks: Verified that there are no network connectivity issues between the ECS instances and the InfluxDB service.
  3. Configuration Review: Reviewed InfluxDB configuration settings to ensure they are correct.
  4. Logs Analysis: Examined logs for any patterns or related errors that might indicate the root cause.

Possible Causes Considered:

  • Network Issues: Potential packet loss or network instability.
  • Configuration Errors: Possible misconfigurations in the InfluxDB setup.
  • Resource Constraints: Despite the increased memory, other resource constraints might be affecting performance.
  • Software Bugs: A potential bug in the InfluxDB version being used.

Request for Assistance:

I’m seeking advice from the community on additional steps to diagnose and resolve this issue. Specifically, I would appreciate insights on:

  • Any similar experiences and how they were resolved.
  • Recommended configuration changes or best practices for running InfluxDB on AWS ECS.
  • Additional diagnostics or logging techniques that could help pinpoint the issue.

Hello @chakrag,
Have you…?

  • Checked to see if there are any TCP connection limits being reached, either on the ECS container or within the InfluxDB configuration. Sometimes, TCP connections can exhaust available ports.
  • Reviewed the tcp timeout settings in the InfluxDB configuration. Adjusting the timeout settings might help if connections are being dropped prematurely.
  • Used AWS CloudWatch to monitor the network traffic and look for anomalies like spikes in disconnections or network latency.
  • Ensured that the health checks in ECS for the InfluxDB container are correctly configured. Improper health checks might lead to unnecessary restarts or terminations of your service.