we now realize the base pairs come to join each other up together as the system unravels and forms a new pair of DNA molecules well up to a point it does and that point is known to be accurate to about one in 10,000 base pairs now if you and I wrote an article and there was only one typo in a 10,000w article we'd be very pleased but this is nowhere near enough for a DNA sequence of three billion base pairs there would be half a million at least of Errors

Your application code should not be dealing with PID files, log redirection or other low-level concerns.

It prevents duplicate work as the DRI has a complete picture of the entire project.

If you're looking for a slightly higher level API built on the same technology, you may want to check out watir or capybara.

For a «zoom out» view of my current data, here is a table-free working test :

Please note that this is a higher-level debugging tool that does not confront you with a 200-lines stack trace the way Ruby does it, but pinpoints the exceptional code and locates the problem on a task level. This is possible due to you structuring code into higher abstractions, tasks and activities.

They are an abstraction that will save code and bugs, and introduce strong conventions.

The DSL has a weaker control over the program’s flow — we can’t have conditions unless we add a special step

Using a terminus to indicate a certain outcome - in turn - allows for much stronger interfaces across nested activities and less guessing! For example, in the new endpoint gem, the not_found terminus is then wired to a special “404 track” that handles the case of “model not found”. The beautiful thing here is: there is no guessing by inspecting ctx[:model] or the like - the not_found end has only one meaning!

the High Level Consumer is provided to abstract most of the details of consuming events from Kafka.