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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Subtex for writing fiction.
It's hard to explain in one go, but imagine the sort of small business/charity/school/department of a large business/etc that runs off a mess of Excel and Python and SQL and PHP, where someone needs to produce an app for the use of Jared and Samantha from Accounting ... this would all work much better if they had a bunch of Charm services running off a Charm hub wrapped around their database. It's a GPL, it's nice to use for other things, but that's the sort of thing I have in mind.
Regarding Ecstasy, we did not set out to build a new language; we actually set out to solve a real world problem. Specifically, we wanted to be able to dramatically improve the density of workloads in data centers, by at least two orders of magnitude in the case of lightly used applications. Our initial goal was to create a runtime design that would support 10,000 stateful application instances on a single server. Let's call it the "a10k" problem 🤣 ... a tribute to the c10k problem from 1999. We refer to our goal as "zero carbon compute", i.e. we want to push the power and hardware cost for an application to as close to zero as possible; you can't reach zero, but you can get close. If we succeed, we will help reduce the electricity used in data centers over the next few decades by a significant percentage.