-
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.
-
-
Humming-Bird-Microservice-Example
A simple micro-service written with Humming-Bird and Raku for https://dev.to/rawleyfowler/writing-micro-services-with-raku-and-humming-bird-59k4
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Earlier this year I build a web-application framework for Raku called Humming-Bird, it's come a long way since it's humble beginnings. In this post I'd like to outline how I use Humming-Bird to build fast, reliable, cloud-native services.
To begin, you'll want to make sure that you have Raku installed, I recommend using Rakubrew. Then we'll want to install Zef, if you're new to Raku, Zef is basically just NPM or CPAN for Raku, it's written by the fabulous Ugexe and is the default package manager people use with Raku. If you installed Raku with Rakubrew, you can simply run rakubrew build-zef and it will handle all of the configuration for you.
We'll also want a database for this, so we'll pull in the trusty DBIish module maintained by the Raku Community.
Major difference here is we use a try/catch block, you don't need to. Since Humming-Bird is functional I actually think it would be better practice to use a Monad type for handling errors something like Monad::Result, but that's the beautiful part of Humming-Bird, it accommodates everyone's preferences.
You can find the final code on github!