Nontawat Numor mrnonz

RKE2 commands

Updated on May 29 to accommodate etcd container not having /bin/sh available anymore.

Install

curl -sL https://get.rke2.io | sh
systemctl daemon-reload
systemctl start rke2-server

AWS Service annotations

service.beta.kubernetes.io/aws-load-balancer-access-log-emit-interval (in minutes)
service.beta.kubernetes.io/aws-load-balancer-access-log-enabled (true|false)
service.beta.kubernetes.io/aws-load-balancer-access-log-s3-bucket-name
service.beta.kubernetes.io/aws-load-balancer-access-log-s3-bucket-prefix
service.beta.kubernetes.io/aws-load-balancer-additional-resource-tags (comma-separated list of key=value)
service.beta.kubernetes.io/aws-load-balancer-backend-protocol (http|https|ssl|tcp)
service.beta.kubernetes.io/aws-load-balancer-connection-draining-enabled (true|false)

Some of the Redis best practices content has moved

This content from this markdown file has moved a new, happier home where it can serve more people. Please check it out : https://docs.microsoft.com/azure/azure-cache-for-redis/cache-best-practices.

NOTE: Client specific guidance listed below is still valid and should still be considered. I will update this document once all content has been moved.

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

	# Parallelly download all aws-lambda functions
	# Assumes you have ran `aws configure` and have output-mode as "text"
	# Works with "aws-cli/1.16.72 Python/3.6.7 Linux/4.15.0-42-generic botocore/1.12.62"

	download_code () {
	local OUTPUT=$1
	aws lambda get-function --function-name $OUTPUT --query 'Code.Location' \| xargs wget -O ./lambda_functions/$OUTPUT.zip
	}

	mkdir -p lambda_functions

	user web;

	# One worker process per CPU core.
	worker_processes 8;

	# Also set
	# /etc/security/limits.conf
	# web soft nofile 65535
	# web hard nofile 65535
	# /etc/default/nginx