Juttle can analyze data that is in any of several data stores. It has processors like reduce, sort, head, and tail that operate over a sequence of data points. For instance, head n emits the first n points it receives and drops the rest. reduce count() increments a counter for each data point and returns the total. The built-in implementations of these processors are written in Node.js.
Continue reading “Juttle’s Cross Platform Optimization Strategy”
I used to work at a data analysis startup called Jut. Jut’s vision was to bring all your data together in a single environment. This enabled integrated analysis using our programming language, Juttle. It was challenging because there are many different types of data. Different data types require different models for optimal storage and querying. At the highest level, Jut divided all data into two kingdoms: metrics and events. Today I’ll cover the design and implementation of the metrics side, which was covered by a database named Orestes that we built.
Continue reading “Orestes: a Time Series Database Backed by Cassandra and Elasticsearch”
Putting mappings in their place
After my uproarious success fixing node.js, I was ready to fix something else. I checked node.js’s open issues, but I didn’t see any that I’d be able to jump on. So I turned my attention elsewhere. Another technology I have a fair amount of experience with is Elasticsearch – I wrote the Juttle Elastic Adapter, after all.
I moseyed on over to the Elasticsearch issues list, where I found issue 15381: Config index.mapper.dynamic:false is not honored. I didn’t know what that meant, but the issue had the “adoptme” and “low-hanging fruit” labels, so it seemed like a good place to start contributing to Elasticsearch.
Continue reading “How I fixed Elasticsearch”
Historical note: This was originally published as a post on Jut’s blog. Nobody wanted to pay for the product it describes, so Jut has gone in a very different direction of late, and Jut’s blog is a 404 at the moment. As a technical piece, though, I think it merits keeping alive.
Continue reading “Pushing the performance limits of node.js”