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.

arkadijs

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

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// 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

arkadijs

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.

arkadijs

Google Cloud SDK

There are two alternatives to start with the SDK:

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

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

$ ssh [email protected]

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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.

arkadijs

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}]}

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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 }

arkadijs

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.

arkadijs

import time

def cell_transition(alive, neighbour_count):
    return neighbour_count in (2, 3) if alive else neighbour_count == 3


class RectField(object):

    def __init__(self, size, cells):
        self.size = size