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This presentation given by Flip Kromer and Huston Hoburg on March 24, 2014 at the MongoDB Meetup in Austin.
Vayacondios is a system we're building at Infochimps to gather metrics on highly complex systems and help humans make sense of their operation. You can think of it as a "data goes in, the right thing happens" machine: send in facts from anywhere about anything, and Vayacondios will promptly process and syndicate them to all consumers. Producers don't have to (or get to) worry about the needs of those who will use the data, or the details of transport, storage, filtering or anything else: the data will go where it needs to go. Each consumer, meanwhile, finds that everything they need to know is available to them, on the fly or on demand, without crufty adapters or extraneous dependencies. They don't have to (or get to) worry about the distribution of their sources, the tempo of update, or how the data came to be.
Vayacondios was built for our technical ops team to monitor all the databases and systems they superintend, but it suggests a better way to build database driven applications of any kind. The quiet tyranny of developing against a traditional database has left us with many bad habits: not duplicating data, using models that serve the query engine not the user, assembling application objects from raw parts on every page refresh. Combining streaming data processing systems with distributed datastores like MongoDB let you do your query on the way _in_ to the database -- any number of queries, decoupled, of any complexity or tempo. The resulting approach is simpler, fault-tolerant, and scales in terms of machines and developers. Most importantly, your data models are purely faithful to the needs of your application, uncontaminated by differing opinions of other consumers or by incidentals of the robots that gather and process and store the data.
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