Matt Wright mattupstate


    
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            from dictalchemy import make_class_dictable
from flask import Flask, request, jsonify, json
from flask_sqlalchemy import SQLAlchemy
from jsonpatch import JsonPatch, JsonPatchException
 
app = Flask(__name__)
app.debug = True
db = SQLAlchemy(app)
make_class_dictable(db.Model)

          
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            import string
import uuid
 
alphabet = string.digits + string.ascii_letters
 
def base62_encode(n):
    ret = ''
    while n > 0:
        ret = alphabet[n % 62] + ret
        n /= 62

          
    View README.md 
  
  
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PostgreSQL Streaming Replication With Docker

The *.txt files here hold user and database parameters. Specifically, replication.txt contains the user/role and password to use for replication. Whereas database.txt contains an initial database, user/role and password to create on the master.

Run the master:

$ fig run -d master


Wait for it to start up completely. Start the slave:

      
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            --[[

Parses a payload containing the contents of a `cat /proc/net/dev | tail -n +3` call into a Heka
message.

Config:

- payload_keep (bool, optional, default false)
    Always preserve the original log line in the message payload.

          
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            --[[

Parses a payload containing the contents of the output from the Nginx `stub_status`
module. See: http://nginx.org/en/docs/http/ngx_http_stub_status_module.html

Config:

- payload_keep (bool, optional, default false)
    Always preserve the original log line in the message payload.

          
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            --[[
Graphs disk usage data containing fields entield `DiskSize`, `DiskUsed`,
`DiskAvailable`, and `DiskPercentUsed`
Config:

- sec_per_row (uint, optional, default 60)
    Sets the size of each bucket (resolution in seconds) in the sliding window.

- rows (uint, optional, default 1440)
    Sets the size of the sliding window i.e., 1440 rows representing 60 seconds

          
    View docker-regsitry.conf 
  
  
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            upstream docker-registry {
    leastconn;
    server hostname1:port;
    server hostname2:port;
}
 
server {
    listen       80;
    server_name  docker.your.domain;
    rewrite      ^ https://$server_name$request_uri? permanent;

          
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            input {
  file {
    path => [ "/var/log/*.log", "/var/log/messages", "/var/log/syslog" ]
    start_position => "beginning"
  }
}
 
output {
  elasticsearch_http {
    host => "elasticsearch.company.internal"

          
    View as_blueprint.py 
  
  
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            from flask import Flask, Blueprint
from flask.views import MethodView
 
 
class ApiResource(MethodView):
    endpoint = None
    url_prefix = None
    url_rules = {}
 
    @classmethod

          
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            import re
import uuid
import base64
 
def uuid_url64():
    """Returns a unique, 16 byte, URL safe ID by combining UUID and Base64
    """
    rv = base64.b64encode(uuid.uuid4().bytes).decode('utf-8')
    return re.sub(r'[\=\+\/]', lambda m: {'+': '-', '/': '_', '=': ''}[m.group(0)], rv)