svn - What is a recommended workflow using subversion and puppet on centos -


this pertains scenario subversion being used version control , , puppet used not manage packages tomcat, jboss, etc, applications perl based application , cpan modules, jboss based web services, etc along mysql , data.

here proposed workflow developer's virtual machine:

every virtual machine ( vmware based)  has : /extra/puppet_dev/modules (maintained under svn)  complete application runs following puppet apply :  sudo puppet apply --modulepath=/extra/puppet_dev/modules/ -e "include company::local"  apply puppet module company, manifests local.pp:  vim /extra/puppet_dev/modules/company/manifests/local.pp, calling company module:  include standards, company  structure of whole company application in init file:  vim /extra/puppet_dev/modules/company/manifests/init.pp:   class company($instance_name='developer',$cpan_mirror='dite_cpan01'){  include params, install  if ( $kernelpageloc =="true" ){  include patches, config, catalyst, catalyst_patch  }  include company::index  include company::jboss   include webapp_structure, svn_instances, jdk, maven   class {"apache" : mods => ["rewrite","fastcgi","ssl","jk","ldap","authnz_ldap"], site => "company-ssl-jk",}   class['webapp_structure'] -> class['svn_instances'] -> class['apache'] -> class['jdk'] -> class['company::index'] -> class['company::jboss'] -> class['maven'] }   there work on svn_instances module svn:  /extra/puppet_dev/modules/svn_instances/manifests/init.pp :  class svn_instances ($instance_name='developer', $instance_level='dev', $build='rc3-1'){  after making changes run puppet apply again:   sudo puppet apply --modulepath=/extra/puppet_dev/modules/ -e "include company::local"  test , if if want apply developers virtual machines, commit changes, can test general configurations running:  sudo puppet agent --test

what looking way define boundaries of puppet, , svn, , how can work together, or should use subversion module puppet, , use puppet drive subversion commands. keeping in mind jenkins being used monitor svn commits, , kick off builds , tests.


Comments

Post a Comment

Popular posts from this blog

python - How to create a legend for 3D bar in matplotlib? -

Image
given ax = plt.subplot() : ax.bar()[0] can passed plt.legend() . however, ax.bar3d() returns none . how create legend displayed bars? update: passing legend="stuff" ax.bar3d() , calling ax.legend() raises /usr/lib/python2.6/site-packages/matplotlib/axes.py:4368: userwarning: no labeled objects found. use label='...' kwarg on individual plots. warnings.warn("no labeled objects found. " you need use proxy artist legends not supported. this code: from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot plt import numpy np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x, y = np.random.rand(2, 100) * 4 hist, xedges, yedges = np.histogram2d(x, y, bins=4) elements = (len(xedges) - 1) * (len(yedges) - 1) xpos, ypos = np.meshgrid(xedges[:-1]+0.25, yedges[:-1]+0.25) xpos = xpos.flatten() ypos = ypos.flatten() zpos = np.zeros(elements) dx = 0.5 * np.ones_like(zpos) dy = dx.copy() dz = hist.flatten() ax...
Read more

php - Dynamic url re-writing using htaccess -

how can rewrite http://mydomain.com/test/master.php?catid=2&subcatid=8 http://mydomain.com/test/master.php/catname/subcat using .htaccess file. once rewritten, how can access these parameters in master.php? note: untested, let me know if doesn't work. rewriterule ^master.php/([a-za-z0-9_-]+)/([a-za-z0-9_-]+)$ /master.php?catid$1&subcatid=$2 [l]
Read more

java - Multi-Label Document Classification -

i have database in store data based upon following 3 fields: id, text, {labels}. note each text has been assigned more 1 label \ tag \ class. want build model (weka \ rapidminer \ mahout) able recommend \ classify bunch of labels \ tags \ classes given text. i have heard svm , naive bayes classifier, not sure whether support multi-label classification or not. guides me right direction more welcome! the basic multilabel classification method one-vs.-the-rest (ovr), called binary relevance (br). basic idea take off-the-shelf binary classifier, such naive bayes or svm, create k instances of solve k independent classification problems. in python-like pseudocode: for each class k: learner = svm(settings) # example labels = [class_of(x) == k x in samples] learner.learn(samples, labels) then @ prediction time, run each of binary classifiers on sample , collect labels predict positive. (both training , prediction can done in parallel, since problems assumed ...
Read more