This commit introduces 3 examples of LDPs that process
monasca metrics:
* `Aggregate` - compute simple stats per metric name.
* `Combine` - allow mixing of different metrics by providing
a simple expression parser that gets transformed into
CPython bytecode.
* `Derivative` - compute a metric derivative.
While quite simple, those examples, will help us improve the
framework by emphazing some of the problems we will face when
working on more complex solution such as:
* Spark's inability to share data between sliding windows.
* Ordering of data.
* Sampling of metrics / events.
Change-Id: I259022f20e9b288aa2a08c24ad4a5f41a20e6095
2016-07-01 00:20:22 -06:00
Joan Varvenne, Suksant Sae Lor and David Subiros Perez
Witek Bedyk