Ganeshan Venkataraman ganeshan

V8

V8 is Google’s open source high-performance JavaScript and WebAssembly engine, written in C++. It is used in Chrome and in Node.js, among others. It implements ECMAScript and WebAssembly, and runs on Windows 7 or later, macOS 10.12+, and Linux systems that use x64, IA-32, ARM, or MIPS processors. V8 can run standalone, or can be embedded into any C++ application.

SpiderMonkey

SpiderMonkey is Mozilla’s JavaScript and WebAssembly Engine, used in Firefox, Servo and various other projects. It is written in C++, Rust and JavaScript. You can embed it into C++ and Rust projects, and it can be run as a stand-alone shell. It can also be [compiled](https://bytecodealliance.org/articles/making-javascript-run-fast-on

PostgreSQL is Enough

Background and Cron Jobs

Keycloak Cluster Configuration (How to)

This is a short and simple example on how to build a proper Keycloak cluster, using DNS_PING as discovery protocol and an NGINX server as reverse proxy.

If you prefer to use JDBC_PING, see @xgp's example gist here: https://gist.github.com/xgp/768eea11f92806b9c83f95902f7f8f80

Please see also my video about Keycloak Clustering: http://www.youtube.com/watch?v=P96VQkBBNxU
NOTE: The video covers JDBC_PING protocol and uses the legacy Keycloak Wildfly distribution!

🗺🐘 1000+ PostgreSQL EXTENSIONs

This is a list of URLs to PostgreSQL EXTENSION repos, listed in alphabetical order of parent repo, with active forks listed under each parent.

⭐️ >= 10 stars
⭐️⭐️ >= 100 stars
⭐️⭐️⭐️ >= 1000 stars
Numbers of stars might not be up-to-date.

Migration to ASP.NET Core in .NET 6

WebApplication and WebApplicationBuilder
Differences in the hosting model
Building libraries for ASP.NET Core
FAQ
Cheatsheet

	# The NYC Taxis Dataset - https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page

	pip install parquet-cli

	parq data/yellow_tripdata_2022-01.parquet

	parq data/yellow_tripdata_2022-01.parquet --schema

	parq data/yellow_tripdata_2022-01.parquet --head 10

	IAM Policy
	---
	{
	"Version": "2012-10-17",
	"Statement": [
	{
	"Effect": "Allow",
	"Action": [
	"rds-db:connect"
	],

	import pandas as pd
	import numpy as np

	def get_dataset(size):
	# Create Fake Dataset
	df = pd.DataFrame()
	df['size'] = np.random.choice(['big','medium','small'], size)
	df['age'] = np.random.randint(1, 50, size)
	df['team'] = np.random.choice(['red','blue','yellow','green'], size)
	df['win'] = np.random.choice(['yes','no'], size)

	FROM quay.io/keycloak/keycloak:17.0.0 as builder

	ENV KC_METRICS_ENABLED=true
	ENV KC_FEATURES=preview
	ENV KC_DB=postgres
	ENV KC_HTTP_RELATIVE_PATH=/auth
	# specify the custom cache config file here
	ENV KC_CACHE_CONFIG_FILE=cache-ispn-jdbc-ping.xml

	# copy the custom cache config file into the keycloak conf dir