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from app import log

logger = log.get_logger()

class BookingResource(object):
  def __init(self):
    pass

  def on_put(self, req, resp, booking_id):
    try:

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server {
        root /home/example/stag/web;
        server_name stag-web.example.vn www.stag-web.example.vn;

        location /assets/ {
          alias /home/example/stag/web/build/public/assets/;
          add_header Cache-Control public;
        }

        location /blog {

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rewrite ^/blog/wp-admin/$ /blog/wp-admin/options-general.php permanent;
rewrite ^/blog/(.*)/$ /blog/index.php?$1 last;

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PYTHONPATH=. python test/test.py

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server {

	root /home/thixanvat/prod/web;
	server_name thixanvat.com www.thixanvat.com;
	proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
	proxy_set_header Host $http_host;
	proxy_set_header X-NginX-Proxy true;

	location /assets/ {

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## sudo without pwd
```
longka    ALL=(ALL) NOPASSWD: ALL

%sudo   ALL=(ALL:ALL) NOPASSWD: ALL
```
--

## disable ssh with pass

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aws s3 ls source-bucket-name - recursive | grep -E "\w+\.+" | awk -F" " '{for(i=4; i<=NF; i++){printf "s3://%s", $i}; printf "\n"}' | head -n5 | xargs -I$ aws s3 cp $ s3://destination-bucket-name/

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#!/usr/bin/env bash


# install awscli
python2 -m pip install awscli

# create aws sym link if any issue
ln -s /usr/local/bin/aws /var/awslogs/bin/aws

# install awscli-cwlogs

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"index": {
            "analysis": {
                "analyzer": {
                    "lala_analyzer": {
                        # "tokenizer": "vi_tokenizer",
                        "tokenizer": "standard",
                        "char_filter":  ["html_strip"],
                        "filter": [
                            "icu_folding"
                        ]

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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.