wrk -t4 -c400 -d10s http://127.0.0.1:1337/
Running 10s test @ http://127.0.0.1:1337/
4 threads and 400 connections
Thread Stats Avg Stdev Max +/- Stdev
Latency 7.02ms 6.94ms 82.86ms 85.27%
| # Add the following 'help' target to your Makefile | |
| # And add help text after each target name starting with '\#\#' | |
| help: ## Show this help. | |
| @fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##//' | |
| # Everything below is an example | |
| target00: ## This message will show up when typing 'make help' | |
| @echo does nothing |
| Accessing docker container private network easily from your boot2docker host | |
| ----- | |
| (from http://ispyker.blogspot.com/2014/04/accessing-docker-container-private.html) | |
| add a Host-only adapter in VirtualBox | |
| OSX: | |
| # show route table | |
| netstat -nr |
Inspired by dannyfritz/commit-message-emoji
See also gitmoji.
| Commit type | Emoji |
|---|---|
| Initial commit | 🎉 :tada: |
| Version tag | 🔖 :bookmark: |
| New feature | ✨ :sparkles: |
| Bugfix | 🐛 :bug: |
This is a guide that I wrote to improve the default security of my website https://fortran.io , which has a certificate from LetsEncrypt. I'm choosing to improve HTTPS security and transparency without consideration for legacy browser support.
I would recommend these steps only if you have a specific need for information security, privacy, and trust with your users, and/or maintain a separate secure.example.com domain which won't mess up your main site. If you've been thinking about hosting a site on Tor, then this might be a good option, too.
The best resources that I've found for explaining these steps are https://https.cio.gov , https://certificate-transparency.org , and https://twitter.com/konklone
Docker provides download links in release note. They promised that
(we) will also include download links in release notes for future releases.
Note:
Online music/voice separator based on neural nets (using best models, including some from Sound Demixing Challenge) https://mvsep.com/
Quality of algorithms comparison https://mvsep.com/en/quality
Details of algorithms https://mvsep.com/en/algorithms
GUI for popular Vocal Remover models that uses Deep Neural Networks.