Operator keeps writing log files

[skdltmxn]

What happened?

After upgrading the operator to 1.11.2, I see many log files are generated in /tmp.
It seems like there are three types of log: INFO, WARNING and ERROR.
Unlike pulumi/pulumi#12263 (comment), where pipes didn't actually take any space, these log files do take volume spaces.
I checked what was actually written to the files and found that all logs have same content.

Log file created at: 2023/03/11 06:36:31
Running on machine: pulumi-kubernetes-operator-756d7b6c98-znfp7
Binary: Built with gc go1.20.1 for linux/amd64
Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
E0311 06:36:31.070780    6999 log.go:84] GitHub rate limit exceeded, try again in 23m37.929230884s. You can set GITHUB_TOKEN to make an authenticated request with a higher rate limit.
E0311 06:36:31.080911    6999 log.go:84] GitHub rate limit exceeded, try again in 23m37.919093344s. You can set GITHUB_TOKEN to make an authenticated request with a higher rate limit.

Here are two questions;

1. Why do I see GitHub rate limit error from 1.11.2? There were no such errors in previous version and I think those errors actually don't affect my stack reconcilation.
2. I see the same errors for all types of log files: INFO, WARNING and ERROR. Why INFO and WARNING log files also contain error logs?

Following is screen capture of my /tmp directory.

Expected Behavior

There should be no redundant log files

Steps to reproduce

Run pulumi-kubernetes-operator v1.11.2 with constant stack reconcilation enabled.

Output of pulumi about

CLI
Version      3.57.1
Go Version   go1.20.1
Go Compiler  gc

Host
OS       debian
Version  11.6
Arch     x86_64

Additional context

No response

Contributing

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[skdltmxn]

Tried --logtostderr option but doesn't work...

[rquitales]

Assigning to @squaremo for further triage who has more context about the v1.11.2 release.

[squaremo]

These logs are produced by pulumi, which is (via the "Automation API") exec'ed by the operator. I updated both the API and the pulumi executable in the image, but didn't change how they are used, which makes me think it's a change in pulumi that causes this. I'll go looking.

Incidental question: are you using the GitHub provider in your program?

[skdltmxn]

These logs are produced by pulumi, which is (via the "Automation API") exec'ed by the operator. I updated both the API and the pulumi executable in the image, but didn't change how they are used, which makes me think it's a change in pulumi that causes this. I'll go looking.

Incidental question: are you using the GitHub provider in your program?

If you are asking I'm using Github for my program repo, then yes, I'm using Github enterprise edition.

[squaremo]

Sorry, I should have been clearer: I meant are you using https://www.pulumi.com/registry/packages/github/ in your Pulumi stack, e.g.,

import * as github from "@pulumi/github";

const repo = new github.Repository("demo-repo", {
  description: "Generated from automated test",
  visibility: "private",
});

// etc.

I can think of three things that might be provoking a rate-limiting error from GitHub:

• git operations, like cloning
• using the GitHub provider programmatically in a pulumi stack
• pulumi downloading a plugin, which accesses the GitHub API.

I'm just trying to figure out which of these it might be that's causing the message. I see at least one change relating to GitHub authorisation, in pulumi/pulumi: pulumi/pulumi#12392 for one.

[skdltmxn]

No, I'm not using github provider.
Since there is no problem on syncing my infra, I guess it's due to plugin download?

[cleverguy25]

Added to epic #586

[EronWright]

Update: the situation has improved in Operator v2 but isn't completely resolved. It has a whole-new architecture that uses pods as the execution environment. The logs for a given stack are isolated into that pod, but there are still some log files that aren't cleaned up over time.

Please read the announcement blog post for more information on v2:
https://www.pulumi.com/blog/pulumi-kubernetes-operator-2-0/

Would love to hear your feedback! Feel free to engage with us on the #kubernetes channel of the Pulumi Slack workspace.