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Lib EMP

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Building distributed systems is hard, it's worse without knowing all the trade offs you are implicitly making ahead of time. LibEMP targets a set of distributed systems for handling event processing, and attempts to both ease their creation as well as making these design decisions apparent and easier to reason about.

EMP stands for Extensible Monitoring Platform, and LibEMP is the core dynamic plug-in framework for event generation, routing, and processing. It handles the fault-tolerance, scaling, and abstractions involved for building your own event generators, routers, and processors.

Building & Testing

Just run make prodshell (or make shell for general debuggery).

There are a number of examples usages in src/eval/* which can be used to test various functionality of LibEMP as a library. There are also a number of pre-built applications using LibEMP in the libemp_examples package which you can import.

Alternatively you can start up some of the included system applications which add useful functionality most Apps could include.

Background

In event processing, you typically have two to three components you concern yourself with: the event sources, their processors, and infrequently the message queues or buffers that connect the two. Trade offs between these three connected pieces are hard to make and are not frequently apparent in some systems. Stream processing applications, for example, typically ignore the topic of buffers and concern themselves with the sources and processors, to provide yet another abstraction on top of these concepts. Not necessarily a bad idea, but can complicate things when it comes times to scale out or become fault-tolerant (as these connections have been abstracted away).

LibEMP talks about all three components, with a few quirks and metadata requirements for planning ahead in a distributed and fault-prone world. LibEMP extends Erlang Nodes to include information regarding your application's structure. This is so the logic for handling Node/Network/Component faults can all be explicitly communicated.

Sinks

Starting at the end of the equation, LibEMP Event Sinks are used for encapsulating the processing of events. The functionality here is entirely up to the developer of the application, that being said, Sinks can be composed and stacked onto one another to easily extend their usefulness.

To learn by example, LibEMP bundles a number of Sinks which are general enough to fit into your application, please see the Bundled Sinks.

Buffers

The middle of the equation is the most interesting. LibEMP Event Buffers are used for storing events waiting to be processed by the Event Sinks. While this seems simple enough, the levels of trade off involved in that statement are staggering.

  • Are adding events to the system transactional?
  • Are the events stored to disk?
  • Do they need to be sent over a network?
  • Do you need to sequence (order) the events being generated?
  • What are the speed/latency guarantees needed by the system?

Additionally, Buffers are used as the primary mechanism of distribution in a system. By choosing a distributed buffer, there could be a network of Sinks all processing from different Nodes, or simply separation of concerns for computationally intensive event processing.

To learn more about the Buffers currently in development and the trade offs they make, please see the Bundled Buffers.

Monitors

Finally, Event sources, which LibEMP calls Monitors, differ somewhat from the common ideas around event stream sources. Monitors encapsulate entire APIs for downstream services. Instead of thinking in terms of "I want to monitor my GitHub events" think of it as a "GitHub Monitor which can be set to monitor your stream". This subtle difference allows for extreme scaling and fault tolerance later on.

It additionally adds a second level of interaction with your event processing platform. If a Monitor wraps an entire service API, then it can also interface with the external service from LibEMP's side. This allows LibEMP and its Event Sinks to affect the streams in turn (thereby closing the event loop). For example, when a Github 'fork' event happens on a set of particular repositories, have the Sink automatically put a 'watch' on it.

To learn more about the Monitors currently in development, please see the Bundled Monitors.

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A framework for extensible monitoring platforms.

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