The components will be wired accoring to this schema
#DEPLOYIT MAVEN PLUGIN 64 BIT#
They even have a website showing their recent deployment activities Tools of the tradeĪt this moment my preferred toolset to put together a continuous delivery setup are:įor the setup above i have compile the following cookbook which will, after completion, result in a 64 bit CentOS 5.8 vm running the following services:
#DEPLOYIT MAVEN PLUGIN SOFTWARE#
There are a few companies who have molded their software delivery proces into a continuous delivery, one in particular i would like to point out is flickr.
#DEPLOYIT MAVEN PLUGIN CODE#
If the code does not compile, there’s no need to run the unit tests.Organize your test in such a way that the cheap (in terms of amount of time spent doing the test or in amount of involved resources) tests come first and are followed by more expensive tests.If the code that was committed does not comply to standard X (for example standard code checking or the code does not even compile) you do not need to do test Y.Provide the developer with feedback on the code he checked-in as soon as possible, for example: run a regular build which can run from anywhere between every x hours all the way up to every commit.
Key here is: short feedback loops and only test if necessary. Next question, of course, is: When is software ready to go to production? In other words: “shipping code as soon as it is ready“. The statement refers to getting the amount of changes involved in a release down to a bare minimum and release as automated as possible and as often as possible.
Well, probably not entirely what you were looking for. */10 * * * * cd /& git pull & service apache restart So, in other words continuous delivery can be achived in the following way: A frequently heard statement in the continuous delivery scene is “If it hurts, do it more often”. Recently a phenomenon called continuous delivery arrived which promises to work on those problem areas described in the introduction. Since there were so many changes in the new release, how are we going to find out which part of the newly deployed software is causing the problem. Incidents occur in the newly deployed software. To create the illusion of being able to prevent this and have more control the deployment department is often confronted with huge, 100+ pages, deployment guides decribing the deployment process in numerous, usual manual, steps. The release probably contains as many changes as possible because if you do not get your change/feature in this release the next release may very well be in 6 – 12 months. This usually results in a long and painfull deployment process.
Putting software in production can be a challenge, often the frequency of going to production is low and the amount of changes/features involved is high.
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