kodekracker

XDG - Base Directory Specification

Directories

Base

The intended use-case for BaseDirectories is to query the paths of user-invisible standard directories that have been defined according to the conventions of the operating system the library is running on.

kodekracker

CREATE EVENT SESSION [Long-Running Queries] ON SERVER
ADD EVENT sqlserver.rpc_completed (
    ACTION ( sqlserver.client_app_name, sqlserver.client_hostname,
    sqlserver.database_id, sqlserver.database_name, sqlserver.nt_username,
    sqlserver.query_hash, sqlserver.server_principal_name,
    sqlserver.session_id, sqlserver.sql_text )
    WHERE ( ( ( package0.greater_than_uint64(sqlserver.database_id, ( 4 )) )
              AND ( package0.equal_boolean(sqlserver.is_system, ( 0 )) ) )
            AND ( duration >= ( 500000 ) )
          ) ),

kodekracker

class AfterFetchQuerySetMixin:
    """
    QuerySet mixin to enable functions to run immediately
    after records have been fetched from the DB.
    """
    # This is most useful for registering 'prefetch_related' like operations
    # or complex aggregations that need to be run after fetching, but while
    # still allowing chaining of other QuerySet methods.
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

kodekracker

How to configure multiple deploy keys for different private github repositories on the same computer without using ssh-agent

Let's say alice is a github.com user, with 2 or more private repositories repoN. For this example we'll work with just two repositories named repo1 and repo2

https://github.com/alice/repo1

https://github.com/alice/repo2

You need to be to pull from these repositories without entering a passwords probably on a server, or on multiple servers.

kodekracker

## Place this file in "/etc/sysctl.d/network-tuning.conf" and
## run "sysctl -p" to have the kernel pick the new settings up

# Avoid a smurf attack
net.ipv4.icmp_echo_ignore_broadcasts = 1
 
# Turn on protection for bad icmp error messages
net.ipv4.icmp_ignore_bogus_error_responses = 1
 
# Turn on syncookies for SYN flood attack protection

kodekracker

# -*- coding: utf-8 -*-
# /var/runtime/awslambda/bootstrap.py
"""
aws_lambda.bootstrap.py
Amazon Lambda

Copyright (c) 2013 Amazon. All rights reserved.

Lambda runtime implemention
"""

kodekracker

Libuv and libev, two I/O libraries with similar names, recently had the privilege to use both libraries to write something. Now let's talk about my own subjective expression of common and different points.

The topic of high-performance network programming has been discussed. Asynchronous, asynchronous, or asynchronous. Whether it is epoll or kqueue, it is always indispensable to the asynchronous topic.

Libuv is asynchronous, and libev is synchronous multiplexing IO multiplexing.

Libev is a simple encapsulation of system I/O reuse. Basically, it solves the problem of different APIs between epoll and kqueuq. Ensure that programs written using livev's API can run on most *nix platforms. However, the disadvantages of libev are also obvious. Because it basically just encapsulates the Event Library, it is inconvenient to use. For example, accept(3) requires manual setnonblocking after connection. EAGAIN, EWOULDBLOCK, and EINTER need to be detected when reading from a socket. This is a

kodekracker

Screen Quick Reference

Basic

Description	Command
Start a new session with session name	screen -S <session_name>
List running sessions / screens	screen -ls
Attach to a running session	screen -x
Attach to a running session with name	screen -r

kodekracker

Param( 
    [Parameter(Mandatory = $true)] 
    [string] $ResourceGroupName, 
    [Parameter(Mandatory = $true)] 
    [string] $AppServiceName, 
    [Parameter(Mandatory = $true)] 
    [string] $SubscriptionId, 
    [Parameter(Mandatory = $true)] 
    [string] $RulePriority
)

kodekracker

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.