swamirara

## installation.txt
vagrant@kratos:~$ chmod +x manage_monitor.sh
vagrant@kratos:~$ sudo cp manage_monitor.sh /etc/init.d/manage_monitor
vagrant@kratos:~$ sudo update-rc.d manage_monitor defaults

## README.md

      
              5 files
            
          
              0 forks
            
          
                0 comments
              
            
              0 stars
            
          
                swamirara
                / README.md
            
            
              Created
              March 10, 2022 14:02
                — forked from mhausenblas/README.md
            
              
                Fluent Bit log forwarding to CloudWatch
              
          
    Set Up Fluent Bit as a DaemonSet to Send Logs to CloudWatch

Create a new 1.13 or 1.14 EKS cluster called container-insights.
Enable IRSA:
eksctl utils associate-iam-oidc-provider \
               --name container-insights \
               --approve


## Setup FTP using PowerShell.ps1
#Install IIS Feature
Install-WindowsFeature -Name Web-Server -IncludeManagementTools

#Install FTP feature
Install-WindowsFeature -Name Web-Ftp-Server -IncludeAllSubFeature -IncludeManagementTools -Verbose

#Creating new FTP site
$SiteName = "Demo FTP Site"
$RootFolderpath = "C:\DemoFTPRoot"
$PortNumber = 21

## AWSDevOpsStudyNotes
CI & CD:
========
2 core software development processes
CI process of automating regular code commits followed by an automated build and test process designed to highlight intergration issues early.
Additional tooling and functionality provided by Bamboo, CruiseControl, Jenkins, Go and TeamCity etc.
workflow based
CD takes the form of a workflow based process which accepts a tested software build payload from a CI server. Automates the deployment into a working QA, Pre-prod or Prod environment.
AWS CodeDeploy and CodePipeline provide CI/CD services
Elasticbeanstalk and CFN provide functionality which can be utilized by CI/CD servers.

## auto-sqlalchemy.py

from sqlalchemy import create_engine, MetaData, Table
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from multiprocessing.util import register_after_fork


Base = declarative_base()


## get_layer_packages.sh
#!/bin/bash

export PKG_DIR="python"

rm -rf ${PKG_DIR} && mkdir -p ${PKG_DIR}

docker run --rm -v $(pwd):/foo -w /foo lambci/lambda:build-python3.6 \
    pip install -r requirements.txt --no-deps -t ${PKG_DIR}

## sqlalchemy_conftest.py
from sqlalchemy import create_engine
from sqlalchemy.orm import Session
from myapp.models import BaseModel
import pytest


@pytest.fixture(scope='session')
def engine():
    return create_engine('postgresql://localhost/test_database)
	vagrant@kratos:~$ chmod +x manage_monitor.sh
	vagrant@kratos:~$ sudo cp manage_monitor.sh /etc/init.d/manage_monitor
	vagrant@kratos:~$ sudo update-rc.d manage_monitor defaults
	#Install IIS Feature
	Install-WindowsFeature -Name Web-Server -IncludeManagementTools

	#Install FTP feature
	Install-WindowsFeature -Name Web-Ftp-Server -IncludeAllSubFeature -IncludeManagementTools -Verbose

	#Creating new FTP site
	$SiteName = "Demo FTP Site"
	$RootFolderpath = "C:\DemoFTPRoot"
	$PortNumber = 21
	CI & CD:
	========
	2 core software development processes
	CI process of automating regular code commits followed by an automated build and test process designed to highlight intergration issues early.
	Additional tooling and functionality provided by Bamboo, CruiseControl, Jenkins, Go and TeamCity etc.
	workflow based
	CD takes the form of a workflow based process which accepts a tested software build payload from a CI server. Automates the deployment into a working QA, Pre-prod or Prod environment.
	AWS CodeDeploy and CodePipeline provide CI/CD services
	Elasticbeanstalk and CFN provide functionality which can be utilized by CI/CD servers.

	from sqlalchemy import create_engine, MetaData, Table
	from sqlalchemy.orm import sessionmaker
	from sqlalchemy.ext.declarative import declarative_base
	from multiprocessing.util import register_after_fork


	Base = declarative_base()
	#!/bin/bash

	export PKG_DIR="python"

	rm -rf ${PKG_DIR} && mkdir -p ${PKG_DIR}

	docker run --rm -v $(pwd):/foo -w /foo lambci/lambda:build-python3.6 \
	pip install -r requirements.txt --no-deps -t ${PKG_DIR}
	from sqlalchemy import create_engine
	from sqlalchemy.orm import Session
	from myapp.models import BaseModel
	import pytest


	@pytest.fixture(scope='session')
	def engine():
	return create_engine('postgresql://localhost/test_database)