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Install Rsyslog 8 on Elastic Beanstalk
Install Rsyslog 8 on Elastic Beanstalk
Install Rsyslog 8 on Elastic Beanstalk
Published on April 17, 2020
Table of Contents
How to install Rsyslog 8 on AWS Elastic Beanstalk
Recently at vagon we needed to experiment with ways to centrally collect logs. One of the setups to be benchmarked was pushing logs to Elasticsearch. We soon realized that we had to jump through a couple of hoops to get this done.
AWS released Amazon Linux 2 almost two years ago in 2018. At the time I’m writing this it’s still in beta for Elastic Beanstalk. Why that’s the case is beyond me but the documentation scary clear:
“If you’re using an Amazon Linux 2 platform version that is in beta for your evaluation, do not go to production. Wait until we release a supported platform version. Beta platform versions aren’t final, and we may change some naming and implementation details before we fully support these platforms.”
Which ordinarily wouldn’t be a problem since Amazon Linux is still a supported platform. Unfortunately this decade old release’s main yum
repository only has Rsyslog 5
in it and doesn’t have rsyslog-elasticsearch
plugin at all. So we turned to our usual tools for customizing Elastic Beanstalk environments: EB Extensions.
So we’ve created an ebextension to setup rsyslog 8.2
:
Let’s walk through what’s going on there. As per AWS documentation the ebextensions’ order of execution is as follows:
Packages
Groups
Users
Sources
Files
Commands
Services
Container commands
So files section gets executed first!
That section configures yum
to tap into the Adiscon RPM repository which has rsyslog 8 ready to go.
Then the commands section gets executed. The tricks is to bypass amzn-main
repository so that we don’t end up installing the old version of rsyslog
from there. It’s not really necessary to specify it for rsyslog-elasticsearch
package but we did it for the sake of consistency.
When you add 21_rsyslog.config to .ebextensions/
either at build time or directly in your codebase, things will kick into gear and voila! You get what you want.
How to install Rsyslog 8 on AWS Elastic Beanstalk
Recently at vagon we needed to experiment with ways to centrally collect logs. One of the setups to be benchmarked was pushing logs to Elasticsearch. We soon realized that we had to jump through a couple of hoops to get this done.
AWS released Amazon Linux 2 almost two years ago in 2018. At the time I’m writing this it’s still in beta for Elastic Beanstalk. Why that’s the case is beyond me but the documentation scary clear:
“If you’re using an Amazon Linux 2 platform version that is in beta for your evaluation, do not go to production. Wait until we release a supported platform version. Beta platform versions aren’t final, and we may change some naming and implementation details before we fully support these platforms.”
Which ordinarily wouldn’t be a problem since Amazon Linux is still a supported platform. Unfortunately this decade old release’s main yum
repository only has Rsyslog 5
in it and doesn’t have rsyslog-elasticsearch
plugin at all. So we turned to our usual tools for customizing Elastic Beanstalk environments: EB Extensions.
So we’ve created an ebextension to setup rsyslog 8.2
:
Let’s walk through what’s going on there. As per AWS documentation the ebextensions’ order of execution is as follows:
Packages
Groups
Users
Sources
Files
Commands
Services
Container commands
So files section gets executed first!
That section configures yum
to tap into the Adiscon RPM repository which has rsyslog 8 ready to go.
Then the commands section gets executed. The tricks is to bypass amzn-main
repository so that we don’t end up installing the old version of rsyslog
from there. It’s not really necessary to specify it for rsyslog-elasticsearch
package but we did it for the sake of consistency.
When you add 21_rsyslog.config to .ebextensions/
either at build time or directly in your codebase, things will kick into gear and voila! You get what you want.
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Get Beyond Your Computer Performance
Run applications on your cloud computer with the latest generation hardware. No more crashes or lags.

Trial includes 1 hour usage + 7 days of storage.
Get Beyond Your Computer Performance
Run applications on your cloud computer with the latest generation hardware. No more crashes or lags.

Trial includes 1 hour usage + 7 days of storage.
Get Beyond Your Computer Performance
Run applications on your cloud computer with the latest generation hardware. No more crashes or lags.

Trial includes 1 hour usage + 7 days of storage.
Get Beyond Your Computer Performance
Run applications on your cloud computer with the latest generation hardware. No more crashes or lags.

Trial includes 1 hour usage + 7 days of storage.

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Vagon Blog
Run heavy applications on any device with
your personal computer on the cloud.
San Francisco, California
Solutions
Vagon Teams
Vagon Streams
Use Cases
Resources
Vagon Blog
Best PC for Twinmotion in 2025
Agisoft Metashape vs. Pix4D: Which Photogrammetry Software Should You Choose in 2025?
How to Reduce Project Processing Time in Pix4Dmapper
Free vs Paid Photogrammetry: Meshroom or Agisoft Metashape?
How to Stop Agisoft Metashape from Crashing on Large Datasets
Step-by-Step Guide to Building 3D Configurators in Twinmotion
3DF Zephyr vs Agisoft Metashape: Which Photogrammetry Tool Fits Your Workflow in 2025?
Twinmotion vs Enscape in 2025
Twinmotion vs Unreal Engine: Which One Should You Actually Use?
Vagon Blog
Run heavy applications on any device with
your personal computer on the cloud.
San Francisco, California
Solutions
Vagon Teams
Vagon Streams
Use Cases
Resources
Vagon Blog
Best PC for Twinmotion in 2025
Agisoft Metashape vs. Pix4D: Which Photogrammetry Software Should You Choose in 2025?
How to Reduce Project Processing Time in Pix4Dmapper
Free vs Paid Photogrammetry: Meshroom or Agisoft Metashape?
How to Stop Agisoft Metashape from Crashing on Large Datasets
Step-by-Step Guide to Building 3D Configurators in Twinmotion
3DF Zephyr vs Agisoft Metashape: Which Photogrammetry Tool Fits Your Workflow in 2025?
Twinmotion vs Enscape in 2025
Twinmotion vs Unreal Engine: Which One Should You Actually Use?
Vagon Blog
Run heavy applications on any device with
your personal computer on the cloud.
San Francisco, California
Solutions
Vagon Teams
Vagon Streams
Use Cases
Resources
Vagon Blog