frank-dspeed

Ramp up your Kubernetes development, CI-tooling or testing workflow by running multiple Kubernetes clusters on Ubuntu Linux with KVM and minikube.

In this tutorial we will combine the popular minikube tool with Linux's Kernel-based Virtual Machine (KVM) support. It is a great way to re-purpose an old machine that you found on eBay or have gathering gust under your desk. An Intel NUC would also make a great host for this tutorial if you want to buy some new hardware. Another popular angle is to use a bare metal host in the cloud and I've provided some details on that below.

We'll set up all the tooling so that you can build one or many single-node Kubernetes clusters and then deploy applications to them such as OpenFaaS using familiar tooling like helm. I'll then show you how to access the Kubernetes clusters from a remote machine such as your laptop.

Pre-reqs

• This tutorial uses Ubuntu 16.04 as a base installation, but other distributions are supported by KVM. You'll need to find out how to install

frank-dspeed

WIP Not Typo checked DRAFT

Storage Algorythms for diffrent loads

Are You aware of the Data Storage Challenge? If your not as Old as me at time of writing 39 Yeaars Your Probally are not aware of the fact that data can get lost really quick and unrestore able. There are Unlimited Reallife Examples already. And its not their fault. The Failiure is that they are not aware about the Facts what matters for storage as storage is more complex the Industrie is trying to hide the facts and simply offer solutions for diffrent scenarios and then let the customer find out the hard facts. This Is the Motivation to write this Documentation about How Storage Really Works and how to address the problems.

The Factors.

frank-dspeed

JavaScript File Format Differences

There's the pervarsive notion that all JS is created equal and that there's only minor and easily detectable differences between the various file formats used to author JavaScript. This is correct, from a certain point of view.

For many people writing JavaScript that gets passed into build tools,

diegopacheco

Fastify did 6K RPS (Request per Second)
Netty did 23K RPS (Request Per Second)
Actix did 53K RPS (Request Per Second)

Actix 1ms latency
Netty 4ms latency
Fastify 14ms latency

npm install -g autocannon

wkgcass

Performance

what do I want to test

The performance of using nginx or vertx as a public network gateway.

Usually a public network gateway handles TLS and gzip, and communicate with backends with raw tcp data. So the programs are tunned to run over tls and compress http body with gzip, level 5.

result

frank-dspeed

#! /bin/bash
# Should be run on a vanilla Debian install.
# This script will strip it down to bare minimum and yet bootable distro.

# Simulated run onlyi (--simulate). Uncomment this and Comment out the "Real Deal".
#apt-get --simulate purge $(dpkg-query -Wf '${Package;-40}${Essential}${Priority}\n'|awk '$2 ~ /nooptional|noextra/ {print $1}'|grep -v -E 'anacron|busybox|initramfs-tools|insserv|klibc-utils|libklibc|libsemanage-common|libsemanage1|libustr-1.0-1|libuuid-perl|linux-base|linux-image')

# Real deal.
apt-get purge $(dpkg-query -Wf '${Package;-40}${Essential}${Priority}\n'|awk '$2 ~ /nooptional|noextra/ {print $1}'|grep -v -E 'anacron|busybox|initramfs-tools|insserv|klibc-utils|libklibc|libsemanage-common|libsemanage1|libustr-1.0-1|libuuid-perl|linux-base|linux-image')

robertrossmann

TypeScript - Intellisense support for ES modules

This patch, based on commit https://github.com/Microsoft/TypeScript/commit/beebda3574be7f9a51f33ac24ab117f696ca9055, will add Intellisense support to projects which utilise the .mjs file extension for JavaScript modules.

⚠️ Warning

• I have only used this from within tsserver. I did not attempt to use the tsc tool to do any kind of compilation of .mjs files.
• This patch causes tsserver to treat all .mjs files as regular JavaScript files. This might be semantically wrong since these files have different semantics.

What works

borkmann

Set up microk8s with Cilium for development

Microk8s is a Canonical project to provide a kubernetes environment for local development, similar to minikube but without requiring a separate VM to manage. These instructions describe setting it up for common development use cases with Cilium and may be helpful in particular for testing BPF kernel extensions with Cilium.

Microk8s will run its own version of docker for the kubernetes runtime, so if you have an existing docker installation then this may be confusing, for instance when building images the image may be stored with one of these installations and not the other. This guide assumes you will run both docker daemon instances, and use your existing docker-ce for building Cilium while using the microk8s.docker daemon instance for the runtime of your kubernetes pods.

Requirements

• Linux with kernel 4.9 or newer ([Full Cilium Requirements](https://cilium.readthedocs.io/en/latest/install/system_requirements/?highlight=requiremen

frank-dspeed

// === Arrays

var [a, b] = [1, 2];
console.log(a, b);
//=> 1 2


// Use from functions, only select from pattern
var foo = () => [1, 2, 3];

vzickner

package com.example.demo;

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;