The Internet of Everything (IoE) brings together people, process, data and things to make networked connections more relevant and valuable than ever before – transforming information into knowledge and knowledge into wisdom. IoE creates new capabilities, richer experiences, and unprecedented opportunities to improve business and government operations, decision making and mission support capabilities. | By XebiaLabs Blog | Article Rating: |
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| May 23, 2015 11:00 AM EDT | Reads: |
2,168 |
XL Deploy and Puppet
By Benoit Moussaud
Puppet and XL Deploy can work together if we put each of them in their domain:
- Puppet manages the provisioning by ensuring the OS and the middleware is correctly configured : This node should have a Tomcat 7.0.42 instance running using a tomcat user and listening en the 8080 port
- XLD manages the application deployment that takes 2 inputs: a deployment package built by CI tools (Jenkins / TFS) and a environment built by a provisioning tools, e.g. Puppet !
The integration between the two solutions is handled by a module provided by XebiaLabs that will ensure the containers are correctly defined in the XL Deloy repository based on the information managed by Puppet. It uses the REST API offered by the XL Deploy server: so the security permissions are checked as a operator could do it using the GUI or the CLI.
This article shows you how use the xebialabs/xldeploy Puppet module.
The Production environment is based on 2 tomcats instances (tomcat1 & tomcat2) and a MySql database (dbprod) This information is configured in site.pp file: three modules are used xld-base, xld-tomcat, xld-mysql.
node 'tomcat1','tomcat2' {
$environment = "PuppetDemo"
include java
include xld-base
include xld-tomcat
}
node 'dbprod' {
$environment = "PuppetDemo"
include xld-base
include xld-mysql
}
XLD-Base module
This module manages the configuration of the node itself : it is a simple class
xldeploy_ci { "Infrastructure/$environment":
type => 'core.Directory',
rest_url => $xldeploy_url
}
xldeploy_ci { "Environments/$environment":
type => 'core.Directory',
rest_url => $xldeploy_url
}
xldeploy_ci { "Infrastructure/$environment/$fqdn":
type => "overthere.SshHost",
rest_url => $xldeploy_url,
properties => {
os => UNIX,
address => $ipaddress_eth1,
username => vagrant,
password => vagrant,
connectionType => INTERACTIVE_SUDO,
sudoUsername => $sudo_username,
stagingDirectoryPath => $staging_directory_path
},
}
xldeploy_ci {"Environments/$environment/App-$environment":
type => 'udm.Environment',
properties => { },
rest_url => $xldeploy_url
}
The xldeploy_ci resources used here will ensure:
- the overthere ssh host is configured in the repository with the Infrastructure/$environment/$fqdn ID : the fully qualified domain name ($fqdn) and the IP address $ipaddress_eth1 are provided by the Puppet facts. The other parameters ($sudo_username, $staging_directory_path) are provided by the Hiera database.
- the target environment
Environments/$environment/App-$environmentis created.
Environments/$environment
the $rest_url parameters is provided by the hiera configuration, it includes the address, the port, the credentianl and the context of the XL Deploy server. The value used here is : http://admin:[email protected]:4516/deployit
XLD-Tomcat module
This module manages the tomcat configuration and the information that need to be configured in XL Deploy.
The first part of the class is the configuration of the tomcat instance
include java
class { 'tomcat':
version => '7',
sources => true,
sources_src => 'file:/vagrant/tomcat'
}
tomcat::instance { 'appserver':
ensure => present,
server_port => $tomcat_port_mgt,
http_port => $tomcat_port_http,
ajp_port => $tomcat_port_ajp,
}
Then the configuration for XL Deploy repository:
xldeploy_ci { "Infrastructure/$environment/$fqdn/appserver-$hostname":
type => 'tomcat.Server',
properties => {
stopCommand => '/etc/init.d/tomcat-appserver stop',
startCommand => 'nohup /etc/init.d/tomcat-appserver start',
home => '/srv/tomcat/appserver',
stopWaitTime => 0,
startWaitTime => 10,
deploymentGroup => "$deployment_group",
},
rest_url => $xldeploy_url
}
xldeploy_ci { "Infrastructure/$environment/$fqdn/appserver-$hostname/$hostname.vh":
type => 'tomcat.VirtualHost',
properties => {
deploymentGroup => "$deployment_group",
},
rest_url => $xldeploy_url
}
The two xldeploy_ci resources configure the ‘tomcat.Server’ and the associated ‘tomcat.VirtualHost’ Configuration items. They share the same deployment group ($deployment_group) The ‘autorequire’ feature has been implements so it is not necessary to define explicitly ‘require’ between the 2 resources.
The module offers to define dictionaries, to populate them with values managed by Puppet (ex tomcat.http.port or environment name) and to associate them to environments.
xldeploy_ci { "Environments/$environment/$fqdn.dict":
type => "udm.Dictionary",
properties => {
entries => {
"log.RootLevel" => "ERROR",
"log.FilePath" => "/tmp/null",
"tomcat.port" => "$tomcat_port_http",
"tests2.ExecutedHttpRequestTest.url" => "http://localhost:{{tomcat.port}}/petclinic/index.jsp",
"tomcat.DataSource.username" => "scott",
"tomcat.DataSource.password" => "tiger",
"TITLE" => "$environment",
"tomcat.DataSource.driverClassName" => "com.mysql.jdbc.Driver",
"tomcat.DataSource.url" => "jdbc:mysql://localhost/{{tomcat.DataSource.context}}",
"tomcat.DataSource.context" => "petclinic",
"tests2.ExecutedHttpRequestTest.expectedResponseText" => "Home",
},
restrictToContainers => ["Infrastructure/$environment/$fqdn/appserver-$hostname/$hostname.vh", "Infrastructure/$environment/$fqdn/test-runner-$hostname", "Infrastructure/$environment/$fqdn/appserver-$hostname"],
},
rest_url => $xldeploy_url,
require => [Xldeploy_ci["Infrastructure/$environment/$fqdn/appserver-$hostname/$hostname.vh"],
Xldeploy_ci[ "Infrastructure/$environment/$fqdn/test-runner-$hostname"],
Xldeploy_ci["Infrastructure/$environment/$fqdn/appserver-$hostname"]],
}
Finally we gather all these containers and the dictionaries in the target enviroment:
xldeploy_environment_member { "Manage Tomcat members of Environments/$environment/App-$environment":
env => "Environments/$environment/App-$environment",
members => ["Infrastructure/$environment/$fqdn/appserver-$hostname/$hostname.vh", "Infrastructure/$environment/$fqdn/test-runner-$hostname", "Infrastructure/$environment/$fqdn/appserver-$hostname"],
dictionaries => ["Environments/$environment/$fqdn.dict"],
rest_url => $xldeploy_url,
}
Find the complete manifest here: https://github.com/xebialabs-community/xl-deploy-puppet-sample/blob/master/puppet/modules/xld-tomcat/manifests/init.pp
XLD-MySQL module
This module is designed as the previous one: one section to configure the database instance, the other to configure it in XL Deploy. Note the same parameters ($dbuser, $dbpasword and $dbname) are used to configure the database, the SqlContainer and the dictionary for the tomcat datasource. If the security team decides to change it, it’ve been defined in a single location and the information can be propagated to the node and the deployed application.
mysql::db { "$dbname":
user => $dbuser,
password => $dbpassword,
host => '%',
grant => ['all'],
}
xldeploy_ci { "Infrastructure/$environment/$fqdn/mysql-$dbname":
type => 'sql.MySqlClient',
properties => {
username => "$dbuser",
password => "$dbpassword",
databaseName => "$dbname",
mySqlHome => '/usr',
deploymentGroup => "1",
},
rest_url => $xldeploy_url,
}
xldeploy_ci { "Environments/$environment/App-db-$environment":
rest_url => $xldeploy_url,
type => 'udm.Dictionary',
properties => {
entries => {
'db.username' => "$dbuser",
'db.password' => "$dbpassword",
'db.name' => "$dbname",
'db.host' => "$ipaddress_eth1",
'db.url' => "jdbc:mysql://{{db.host}}:3306/{{db.name}}",
}},
}
Find the complete manifest file here: https://github.com/xebialabs-community/xl-deploy-puppet-sample/blob/master/puppet/modules/xld-mysql/manifests/init.pp)
The xl-deploy-puppet-module can manage roles, permission… check out the module documentation for the other features.
Wrap up
The integration between XL Deploy and Puppet applies the separation of concern principle, the one manages the provisioning, the other managed the application deployment and application configuration. The 2 solutions are model based : you describe the target and not the how to reach the target.
You can find all the described manifest files and the whole project based on Vagrant here: https://github.com/xeblialabs-community/xl-deploy-puppet-sample
The post XL Deploy & Puppet appeared first on XebiaLabs.
Read the original blog entry...
Published May 23, 2015 Reads 2,168
Copyright © 2015 SYS-CON Media, Inc. — All Rights Reserved.
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Who would have thought that providing a better experience for people viewing internet content would be so controversial? You may know by now that Apple announced a new Safari release bringing content blocking extensions to iOS and Mac OSX, emphasizing user experience and the impact of 3rd parties on performance, battery life and data consumption. The uproar over this is largely focused on advertising and the monetary effects on the publishing ecosystem.
The path of an application from software development to bullet-proof operational deployment has rarely been a smooth one. This is true whether we're talking new applications or maintenance releases of established applications. There's no deep mystery to why this is. The fact is that the software development environment has always been a "moving target."
JavaScript is primarily a client-based dynamic scripting language most commonly used within web browsers as client-side scripts to interact with the user, browser, and communicate asynchronously to servers.
If you have been part of any web-based development, odds are you have worked with JavaScript in one form or another. In this article, I'll focus on the aspects of JavaScript that are relevant within the Node.js environment.
This week, I joined SOASTA as Senior Vice President of Performance Analytics. Given my background in cloud computing and distributed systems operations — you may have read my blogs on CNET or GigaOm — this may surprise you, but I want to explain why this is the perfect time to take on this opportunity with this team. In fact, that’s probably the best way to break this down. To explain why I’d leave the world of infrastructure and code for the world of data and analytics, let’s explore the timing...
Microservices are hot. And for good reason. To compete in today’s fast-moving application economy, it makes sense to break large, monolithic applications down into discrete functional units. Such an approach makes it easier to update and add functionalities (text-messaging a customer, calculating sales tax for a specific geography, etc.) and get those updates / adds into production fast. In fact, some would argue that microservices are a prerequisite for true continuous delivery.
But is it too...
You often hear the two titles of "DevOps" and "Immutable Infrastructure" used independently.
In his session at DevOps Summit, John Willis, Technical Evangelist for Docker, covered the union between the two topics and why this is important. He provided an overview of Immutable Infrastructure then showed how an Immutable Continuous Delivery pipeline can be applied as a best practice for "DevOps." He ended the session with some interesting case study examples.
In my last post, I wrote about the value of IT / business collaboration, and the importance of a common language, a common definition of end-user experience – user transaction response time – as the one performance metric both IT and business have in common. In it, I provided some background on the importance of understanding exactly how we define response time, since this definition dictates the usefulness of the measurement. For the sake of brevity, I’ll summarize three common definitions here...
Consider that the benefits derived from proactive monitoring do not necessarily come from just one tool, albeit tool selection is a key element, but it is not the only one. “A fool with a tool is still a fool” – Grady Booch.
Listening to what your business partners need from an application perspective and then delivering on that within a tight timeline and a modest budget can create challenging opportunities for any IT Manager.
"6fusion and its mission is to basically simplify the measurement of IT so we came up with the Workload Allocation Cube," explained Delano Seymour, Co-founder and CTO of 6fusion, in this SYS-CON.tv interview at 16th Cloud Expo, held June 9-11, 2015, at the Javits Center in New York City.
Most developers learn best by examples, which naturally tend to simplify matters and omit things that aren’t essential for understanding. This means that the “Hello World” example, when used as starting point for an application, may be not suitable for production scenarios at all.
I started using Node.js like that and I have to confess that it took me almost two years to quantify the huge performance impact of omitting a single environment variable. In fact it was just a coincidence that I even...
Brand owners are caught in a digital crossfire.
From one direction comes intense competitive pressure to innovate or to at least follow very, very quickly. From the precisely opposite direction comes the potentially existential threat of an app very publicly flopping or – even worse – being very publicly revealed to jeopardize the customer’s well-being.
Either way, you lose brand value in a social marketplace where brand is your primary currency.
What’s a brand owner to do?
"ProfitBricks was founded in 2010 and we are the painless cloud - and we are also the Infrastructure as a Service 2.0 company," noted Achim Weiss, Chief Executive Officer and Co-Founder of ProfitBricks, in this SYS-CON.tv interview at 16th Cloud Expo, held June 9-11, 2015, at the Javits Center in New York City.

























