It’s really nice if you can decouple your external API from the details of application segregation and deployment. On my current project we’ve building a distributed service oriented architecture that also exposes an HTTP API, and we’re using a reverse proxy to route requests addressed to our API to individual components...
I am a fan of Capistrano from way back and we use it for almost all kind of deployments - Hadoop, MongoDB clusters and so on. If you have not tried Capistrano, you must try it and figure out how you can use for deployments in your environment.
This is a classic DevOps presentation from a former Velocity conference that I thought people could take another look at or see this for the first time. It's definitely worth it.
Andy Parker gives a quick-but-dense talk at Puppet Camp Austin on the fundamentals of testing and test-driven development.
Here's a 14-minute discussion about the future of DevOps presented by Patrick Debois.
It’s been to years ago, I’ve released my own project - Trackyt.net. Month ago I’ve cancelled my VPS lease contract, so your would not see it available at http://trackyt.net anymore.
We’ve covered the controversy of a DevOps Team on this blog before. DevOps Teams are dangerous in that many organizations realize that their Dev and Ops groups . . .
Maintainable software projects usually take the issue tracker seriously. More often, it is used not only to monitor bugs and defects, but also to serve as a task tracker.
Automated configuration tools (such as CFEngine, Puppet, or Chef) allow you to specify how servers should be configured, and bring new and existing machines into compliance. This helps to avoid the problem of fragile SnowflakeServers.
Careful study of the HamCalc shows a number of quirks. Some are funny, some are just examples of the need for unit test frameworks.
At Tangent we handle environment-specific configuration of Django projects using the method outlined by David Cramer. This involves distinguishing between core settings (which we keep in core/default.py) and environment specific settings (eg core/stage.py, core/test.py).
Automated configuration tools (such as CFEngine, Puppet, or Chef) allow you to avoid SnowflakeServers by providing recipes to describe the configuration of elements of a server.
Some additional points on using Python 2.7 in a way that bridges the gap to Python 3.2. The steps are small and simple. You can start taking them now.
Design Patterns above claims that programming to an interface and not an implementation reduces implementation dependencies, and thus it follows that ptainai reduces the probability of ripple-effects. But is this true?
Are you using Celery to process python backend tasks asynchronously? Have you wanted to get insight into their resource consumption and efficiency? Here’s a few useful ways to get insight into Celery performance when running tasks.
The theme of last Thursday’s DevOps Ireland talks at Engine Yard Dublin was automated deployment.
Here’s a little example of using Hadley Wickham’s testthat package for unit testing R code. You can read more about testthat here.
Continuous Delivery aims to overcome the large delivery costs traditionally associated with releasing software, and in The Principles of Product Development Flow Don Reinertsen describes delivery cost as a function of transaction cost and holding cost.
I had to read a log file containing a few hundred lines today at work. My first instinct was to open it using my trusty Notepad++.
Enterprises are building, testing, and deploying software faster and more frequently now than at any point in the past. Faced with unprecedented demands, many of these software development organizations are realizing their rollout processes are haphazard, at best.
The core technology used in Eclipse is OSGI, which makes it easily extensible. There are plenty of plugins out there, some are well known, however there might be some you've never heard of, but might find them useful, once you see them in action.
This tutorial runs through the process of adding parallel testing to your unit test framework with Python.
This week we're talking to Tim Spann, Java developer of fifteen years and blogger at http://www.agilemobiledeveloper.com.
Ever see one of these? It means something is wrong with the website – very wrong – yet somehow we seem to keep building websites that do this.
Some diagnostics haven't detected any bugs in open-source projects yet. The lower you are in the list, the more diagnostics with no error samples there will be. The reason is simple: the later a certain rule had been added, the fewer projects were analyzed with this rule included into the rule set and therefore the fewer chances for it to demonstrate its capabilities.