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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.
I've been using Elixir and Phoenix for the last six years to build from APIs to complete web applications using React and Elm on the front-end, being Elm my weapon of choice primarily. Since LiveView came out, I have played around with it a couple of times, first to build an ant farm and second to set up a headless CMS. However, I never ended up getting hooked by it, and I kept relying on Elm to build my front-ends. But when Phoenix v1.6 and LiveView v0.17 came out, my feelings about LiveView changed utterly, and I couldn't resist making something more extensive to test out all its new features, making me finally understand all of its power.
I've been using Elixir and Phoenix for the last six years to build from APIs to complete web applications using React and Elm on the front-end, being Elm my weapon of choice primarily. Since LiveView came out, I have played around with it a couple of times, first to build an ant farm and second to set up a headless CMS. However, I never ended up getting hooked by it, and I kept relying on Elm to build my front-ends. But when Phoenix v1.6 and LiveView v0.17 came out, my feelings about LiveView changed utterly, and I couldn't resist making something more extensive to test out all its new features, making me finally understand all of its power.
In the next part of the series, we will jump into the action by creating a new Phoenix project and generating the necessary Ecto schemas for modeling both event types and events. In the meantime, you can check the end result here, or have a look at the source code.