• 0
Joe Skup

Tuning a collector to work on a t2.micro EC2 instance?

Question

I know that it is not exactly recommended/reliable to use a 1GB/1CPU Core machine to monitor...but it seems that installing a "nano" sized collector on a t2.micro AWS instance and having it just monitor itself brings the AWS instance to a screeching halt.

I am seeing that when the collector is running, top shows that CPU pegs to 100% almost nonstop. Memory is not hit quite as bad..but it does get up there to use 500mb+

But the CPU load average is 5+ cores and it makes the system unusable. Sometimes this causes the instance to throw status alerts & even crash.

Question: Has anybody been able to tweak the wrapper.conf etc files to make the collector CPU load less demanding?

  • Upvote 1

Share this post


Link to post
Share on other sites

1 answer to this question

Recommended Posts

  • 1

Update- I found the solution:

Edit agent.conf:
1. collector.xxxx.enable=false on every unused/unneeded datasource collection mechanism.
2. eventcollector.xxxx.enable=false on every unused/unneeded eventsource collection mechanism.
3. sbproxy.pool.connections=25
4. sbproxy.linux.threadPoolSize=60
5. collector.snmp.threadpool=25
6. discover.workers=5

In my case, I pretty much am monitoring the collector machine only, and I've only left snmp, script & webpage-related collectors enabled and this seems to have done the trick.

The last few configurations might not be necessary..but everything seems to be working fine with these configs..!

Edited by Joe Skup
  • Like 1

Share this post


Link to post
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Guest
Answer this question...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.