hellgrenj/go-wasm

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Created over 3 years ago
Updated over 3 years ago

hellgrenj/go-wasm

hellgrenj

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playing around with Wasm in Go

hulken

Hulken is a stress testing tool for everything speaking HTTP. Hulken supports multiple urls, GETs and POSTs, static and dynamic payloads, multiple agents and more. Hulken is highly configurable but defaults to some reasonable settings. Hulken works both as a library and a stand-alone command line tool. Hulken is swedish for The Hulk.

Rumpel

Simple, opinionated and automated consumer-driven contract testing for your JSON API's

MediaSpin

Daily sentiment analysis of Swedish news

bare_knuckles

A demo of a simple zero-downtime-deployment strategy using docker compose and HAProxy. The example application in the demo is built with the following tech: .net core 2.0, entity framework core 2.0, postgresql/mssql-linux and docker.

jwt-core-demo

A demo of JWT (JSON web tokens) in .NET Core and Node.js running in docker (Linux) containers

bf-tsm

brute force (parallelized) traveling salesman

rabbit_worker_queues_playground

A RabbitMQ worker queues PLAYGROUND.

node-bully

fun demo of the bully algorithm (leader election) implemented in node.js

embsrv

a simple embeddings server

sagas

simplified implementation (demo) of an order fulfilment flow as a choreographed saga

dist-node-mongo

An environment for learning and experimenting with sharding in MongoDB and load balancing with HAProxy and Node.js .... all within Docker containers.

ParrotHttpApi

elk-poc

An environment for getting to know the elastic stack (aka ELK and friends)

whiteboard

Fibonacci and BST

apod-wp

a simple cli tool that fetches the latest high resolution APOD (Astronomy Picture Of the Day) from NASA, writes the explanation (written by a professional astronomer) on the image and sets it as your desktop wallpaper. works on windows, linux and mac.

hulken_informant_hapi8

an informant for the stress test tool hulken (works with hapi.js 8)

search_service_demo

This is a simplified example demonstrating how to quickly get up and running with a full text search solution for your mongodb driven application using node.js, docker, elasticsearch and compose/transporter.