Arkadi Shishlov arkadijs

Docker

Docker-enabled environment

Cloud

ssh -i workshop.pem [email protected]

Replace 01 in lxc-1-01 with index assigned to you. Download workshop key below.

Ubuntu host and container

Install LXC:

apt-get install linux-hwe-generic # update to 3.13 on Precise
apt-add-repository ppa:ubuntu-lxc/stable
apt-get update
apt-get install lxc lxc-templates cgmanager cgroup-lite
reboot

java ee (v1.4, and partly 5)	cf / bosh
(proprietary) deployment descriptor	bosh manifest
xml	yaml
ear(-s)	bosh release
ee app server, "fits all purposes"	cloudfoundry elastic runtime
transparent clustering, availability	multi-az deployment, resurrector
statefull	stateless

j2ee ship sunk ~9 years ago.

Google Cloud SDK

There are two alternatives to start with the SDK:

install SDK locally;
use provided Linux VM in the cloud via ssh.

Note: everyone will get a separate index, ie. hacker02, hacker03, etc.

$ ssh [email protected]

PyPy environment

Download and build PyPy as described here. It will take about 1 hour of modern machine time. The pre-built PyPy archive does not have all the stuff we need.

Instead, I supply you with a powerful Linux VM in case you choose to work in the cloud:

$ ssh [email protected]

pypy binary is in your PATH. And PYPY env var is also set to the path of unpacked and already built PyPy sources.

The Origin

I'm here not to teach you - see me as a guiding friend, a facilitator. We'll go together through a journey of getting better at some particular, non-hype, well understood yet sometimes problematic, still modern technology for developing web- and service-oriented applications. Hopefully it will give you a new perspective on how such things could be built.

It's up to you to choose what it'll be for you - an epic or a walk in the park. Most of the value will be to stay till the end, though.

To do the homework I expect about 5 hours of commitment per week -- similar to [Coursera]. Some colleagues already demonstrated that it could be done. But, compared to consuming nicely prepared material, we're on raw side this time -- you'll be setting your own tactical learning plan and digging for materials instead.

Last but not least, my opinion and judgments are always subjective.

	import play.api.libs.concurrent._
	import play.api.libs.concurrent.Execution.Implicits._
	import play.api.libs.iteratee._
	import scala.concurrent.duration._

	def circuitBreakers = Action {
	Ok.stream(Enumerator.generateM {
	val promise = Promise[String]()
	Akka.system.scheduler.scheduleOnce(1 second) {
	promise.completeWith(circuitBreakers)

	// compile 'com.github.groovy-wslite:groovy-wslite:1.1.0'
	// compile 'com.google.apis:google-api-services-compute:v1-rev29-1.19.0'
	// compile 'com.google.http-client:google-http-client-jackson2:1.19.0'
	// compile 'com.google.oauth-client:google-oauth-client-jetty:1.19.0'

	import com.google.api.services.compute.Compute
	import com.google.api.services.compute.model.*
	import wslite.rest.ContentType
	import wslite.http.HTTPClient
	import wslite.rest.RESTClient

	def f(params)
	puts params
	end

	opt = {}
	opt[:config] = 1

	f (:p1 => 'x', :p2 => ( [{ :r => 'const', :t => opt[:config] }] if opt[:config] ))
	# {:p1=>"x", :p2=>[{:r=>"const", :t=>1}]}

	object Main {
	def main(args: Array[String]) {
	val date = new Deserializer().deserialize[java.util.Date]("2014-02-15")
	val ints = new Deserializer().deserialize2[Int]("[1, 2, 3]")
	}
	}

	class Deserializer {
	import scala.reflect.{ ClassTag, Manifest }