jcon2024_workshop

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jcon2024_workshop

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Workshop materials for JCON2024 workshop titled "Java with Ultra Fast Startup and Remote JIT Compilation"

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This repo contains the materials first prepared for JCON Europe 2024.

The workshop abstract is:

Java with Ultra Fast Startup and Remote JIT Compilation

Java starting too slowly for you? Amazed that your program has to JIT compile
	the same old methods every time you run it, consuming memory and CPU cycles
	that you’ve got to pay for? It doesn’t have to be that way! With Eclipse OpenJ9
	built into the Semeru Runtimes JDK, you can start your Linux-based Java servers
	and then save them to disk. When you need another instance, don’t start it from
	scratch! Simply restore it from disk to avoid almost all that startup work to get
	your server handling requests in just a couple hundred milliseconds! And that
	powerful JIT compiler can be easily configured to run as a remote service so that
	your applications aren’t disrupted by those extra CPU cycles and memory use. In
	this workshop, we’ll teach you a bit more about these amazing technologies and
	then let you try them out yourselves with some simple Liberty-based servers running
	on the OpenShift Container Platform. You’ll see firsthand why these technologies
	are being used in production today to provide incredibly elastic and cost-effective
	servers for Java workloads. You know you’re curious! Bring your questions and an
	open mind and let us show you how you too can overcome Java’s traditional overheads
	without restricting the use of any Java language features!

Unfortunately, due to a scheduling mishap, OpenShift Container Platform resources
were not available for the workshop, so we're going to run the experiments
locally on people's machines. To hopefully simplify that process, we're going to
use containers to control the environment.

In particular, we will run the entire workshop out of one redhat/ubi9 container
that preinstalls the required software for the workshops. Then, there are three
segments (WorkshopSharedCache, WorkshopInstantOn, and WorkshopCloudCompiler)
that take attendees through a sequence of experiments that showcase how these
technologies can be used to accelerate startup and reduce memory usage.

To create the main workshop container, you will need to build the main container
using the following command (or just run ./main.build.sh) :

$ podman build --network=host -f main.Dockerfile -t workshop/main .

It may take a while to build on your computer, but once this container is built
you should have everything you need to go through the workshop.

Although it's not recommended as common practice, this workshop may run more
smoothly for you if you invoke it as root. The safest way to do that is by
running a command like this one so that you can't accidentally leave a terminal
window on your host with root permission lying around:
	$ sudo ./main.run.sh

You can peek inside that script to see that it just runs the following command:
	$ podman run --network=host --privileged --name=workshop-main --replace -it workshop/main /bin/bash

Once you have the container up and running, the usual progression is to start with
$ cd /Workshop_SharedCache
$ cat README.md
$ cd Section_1
$ cat README.md
...
$ cd ../Section_2
$ cat README.md
...

When done with the SharedCache workshop, you can cd back up to the root to move to
the InstantOn workshop:
$ cd /Workshop_InstantOn
$ cat README.md
$ cd Section_1
$ cat README.md
...

When you finish the InstantOn workshop, you can cd back up to the root to move to
the CloudCompiler workshop:
$ cd /Workshop_CloudCompiler
$ cat README.md
# cd Section_1
$ cat README.md
...

That's it! Good luck!

When you're done, just close all the terminal windows you've been working in and
the main container will stop.

# Containers

NOTE: all the documentation for this workshop assumes you are using "podman" to
run your containers. If you use docker, just replace "podman" with "docker" and
the commands should otherwise work.

If you need help installing podman onto your computer, here are a couple of reference
links to help:

## MacOS:
Just follow the installation instructions here:
https://www.redhat.com/sysadmin/run-containers-mac-podman

If you're down in the details, the workshop works best if the podman machine has at
least 4 cores and 4GB of memory. If you don't know how that matters, don't worry about
it but some of the workshop exercises that run with 2 or 4 cores may not show the
results described in the README.mds.

Make sure you initialize and start the podman machine before trying to run the above
command to start the workshop/main container.

## Windows:
First install the Windows Subsystem for Linux (WSL):
https://www.windowscentral.com/how-install-wsl2-windows-10

When you choose a Linux distribution to run, I suggest you choose either a UBI9 or
a recent Ubuntu (22.04 or later).

## Linux
There is probably a "podman" package available via your standard package manager (yum, apt, etc.)
Google "install podman <package manager name>" or your distribution name and you should find
useful links to get podman installed.

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