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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.
> ...enough insights of how much better/faster Deno is
We moved our Deno project to Node because of lack of lower-level APIs on their Conn interfaces [0][1], but otherwise for our use-case (lots of tiny HTTPS connections) Deno absolutely blew Node out-of-the-water. Even at p50 (100tps) Deno (v1.18) was 10x faster than Node (v17.x) [2]
RAM wise, I found Deno (v1.18+) use 10M or so higher for the same code-base.
[0] https://github.com/denoland/deno/issues/13636
[1] https://github.com/denoland/deno/issues/9109
[2] https://github.com/nodejs/undici/issues/1203#issuecomment-10...
> ...enough insights of how much better/faster Deno is
We moved our Deno project to Node because of lack of lower-level APIs on their Conn interfaces [0][1], but otherwise for our use-case (lots of tiny HTTPS connections) Deno absolutely blew Node out-of-the-water. Even at p50 (100tps) Deno (v1.18) was 10x faster than Node (v17.x) [2]
RAM wise, I found Deno (v1.18+) use 10M or so higher for the same code-base.
[0] https://github.com/denoland/deno/issues/13636
[1] https://github.com/denoland/deno/issues/9109
[2] https://github.com/nodejs/undici/issues/1203#issuecomment-10...
I haven't done an existing project yet, but based on some experiments it seems like I'd mostly be deleting configuration files and making an import map. A simple SPA is crazy easy in deno: https://github.com/baetheus/deno-spa-example/
Yes, TS code is compiled to run in browsers. You can compile and bundle using `deno bundle` if your project is developed in Deno. Since I'm using Deno for library development, I use the `dnt`[1] tool to compile them into ESM modules later consumed by esbuild in my Node-based projects/toolchains.
[1] https://github.com/denoland/dnt
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