If you are storing files in Amazon S3, you absolutely positively should enable AWS S3 Access Logging. This will cause every single access in a bucket to be written to a logfile in another S3 bucket, and is super useful for tracking down bucket usage, especially if you have any publicly hosted content in your buckets.
But there’s a problem–AWS goes absolutely bonkers when it comes to writing logs in S3. Multiple files will be written per minute, each with as few as one event in them. It comes out looking like this:
2019-09-14 13:26:38 835 s3/www.pa-furry.org/2019-09-14-17-26-37-5B75705EA0D67AF7
2019-09-14 13:26:46 333 s3/www.pa-furry.org/2019-09-14-17-26-45-C8553CA61B663D7A
2019-09-14 13:26:55 333 s3/www.pa-furry.org/2019-09-14-17-26-54-F613777CE621F257
2019-09-14 13:26:56 333 s3/www.pa-furry.org/2019-09-14-17-26-55-99D355F57F3FABA9
At that rate, you will easily wind up with 10s of thousands of logfiles per day. Yikes.
Dealing With So Many Logfiles
Wouldn’t it be nice if there was a way to perform rollup on those files so they could be condensed into fewer bigger files?
Well, I wrote an app for that. Here’s how to get started: first step is that you’re going to need to clone that repo and install Serverless:
git clone email@example.com:dmuth/aws-s3-server-access-logging-rollup.git
npm install -g serverless
Serverless is an app which lets you deploy applications on AWS and other cloud providers without actually spinning up virtual servers. In our case, we’ll use Serverless to create a Lambda function which executes periodically and performs rollup of logfiles.
So once you have the code, here’s how to deploy it:
cp serverless.yml.exmaple serverless.xml
vim serverless.xml # Vim is Best Editor
serverless deploy # Deploy the app. This will take some time.
Continue reading “Doing Rollups of AWS S3 Server Access Logs”
I’ve written about Docker before, as I am a big fan of it. And for this post, I’m going to talk about some practical situations in which I’ve used Docker in real life, both for testing and software development!
But first, let’s recap what Docker IS and IS NOT:
- Docker containers spin up quickly (1-2 seconds or less)
- Docker containers DO have separated process tress and filesystems
- Docker containers ARE NOT virtual machines
- Docker containers ARE intended to be ephemeral. (short-lived)
- You CAN, however, mount filesystems from the host machine into Docker, so those files can live on after the container shuts down (or is killed).
- You SHOULD only run one service per Docker container.
Everybody got that? Good. Now, let’s get into some real life things I’ve used Docker for.
Experimenting in Linux
Want to test out some commands or maybe a shell script that you’re worried might be destructive? No worries, try it in a Docker container, and if you nuke the filesystem, there will be no long-term consequences.
# Start a container with Alpine Linux
$ docker run -it alpine
# Let's do something dumb
$ rm /bin/ls
$ ls -l
/bin/sh: ls: not found
# Just exit the container, restart it, and our filesystem is back!
/ # exit
[unifi:~/tmp ] $ docker run -it alpine
/ # ls
bin dev etc home lib media mnt proc root run sbin srv sys tmp usr var
And all of the above takes just a couple of seconds! This works with other Linux distros as well, such as CentOS and Unbuntu–just change your Docker command accordingly:
docker run -it centos
docker run -it ubuntu
Yes, that means you could run CentOS in a container under Ubuntu or vice-versa. Docker doesn’t care. 🙂 Continue reading “The Joy of Using Docker”