anchor.diff:  
   Once you've built a binary, you should upload that back to your CD server or artifact repository for later use.
   
  -<%= image_tag "blog/pipeline-patterns/upload-artifact.png", {:title => "Upload Artifacts", :alt => "Upload Artifacts"} %>
  +<%= image_tag "blog/pipeline-patterns/upload-artifact.png", {:title => "Upload Artifacts", :alt => "GoCD Upload Artifacts"} %>
   
   When you're ready to deploy to a downstream system, you should fetch and install that build artifact. This way you make
   sure that you're running your functional tests on the exact thing you built and that you're going to deploy.
   
  -<%= image_tag "blog/pipeline-patterns/fetch-artifact.png", {:title => "Fetch Artifacts", :alt => "Fetch Artifacts"} %>
  +<%= image_tag "blog/pipeline-patterns/fetch-artifact.png", {:title => "Fetch Artifacts", :alt => "GoCD Fetch Artifacts"} %>
   
   ##2. Run tests in parallel
   
  
positive.code: What you should do is split those tests up into manageable size chunks and run them in parallel. In the case of the Mingle
  team those tests run on 65 GoCD agents at the same time.
  
  <%= image_tag "blog/pipeline-patterns/testing-jobs.png", {:title => "Jobs overview displaying parallel tests", :alt => "Jobs overview displaying parallel tests"} %>
  
  Of course it's also vitally important that you're able to quickly determine what went wrong if something fails, so you
  should make sure the tests results from all of the jobs can be viewed in one consolidated place.
  
  <%= image_tag "blog/pipeline-patterns/testing-failures.png", {:title => "Tests tab showing failed tests", :alt => "Tests tab showing failed tests"} %>
  
  ##3. Design parallel workflows
  
  
negative.code: they may not look at it immediately. There's really no reason we can't run the automated acceptance tests while that is
  going on.
  
  <%= image_tag "blog/pipeline-patterns/parallel-pipelines.png", {:title => "Parallel Pipelines", :alt => "GoCD Parallel Pipelines"} %>
  
  Hopefully you noticed one other really important thing about the image above. The production pipelines have _not_ run. If
  you're doing things in parallel it's important that your Continuous Delivery system is smart about handling
  