Answers for "aws"

aws

Amazon Web Services (AWS) is a secure cloud services platform,
offering compute power, database storage and it helps Running 
web and application servers 
in the cloud to host dynamic websites.

in my company We use; 

EC2: 
   - for Running application for different environments(Test, Dev enviroments).
   - and also for Running Jenkins or any other application for testing purpose.
   - and to Run load testing on the application.
We also use S3 (Simple Storage Service):
  - It is Used for file storage, test data storage.
  - It Can be used for part of data processing workflow.
  - and also it Can also be used as code repository.

IAM (Identity and Access Management) is a web service that helps you 
securely control access to AWS resources. You use IAM to control who is 
authenticated (signed in) and authorized (has permissions) to use resources.
   - I use IAM for Permission control of users, applications, typically 
   not configured by application team but by a cloud team.
RDS (Create a sample Postgresql database and connect using Dbeaver):
   - is Used for database, launch database for different environments to 
   support the application.
Lambda:
   - Serverless service that can provide quick and easy solution to run 
   your code without the involvement of EC2.
   - Typically used for data processing incoming files.

aws

Amazon Web Services is a subsidiary of Amazon that provides on-demand cloud
computing platforms and APIs to individuals, companies, and governments, on a
metered pay-as-you-go basis.

aws

hmmmmmmmm GCP < AWS < AZURE...not a great choice..but still good

aws

lfs:
enabled: true
object_store:
  enabled: false
  remote_directory: lfs-objects # Bucket name
  connection:
    provider: AWS
    aws_access_key_id: 1ABCD2EFGHI34JKLM567N
    aws_secret_access_key: abcdefhijklmnopQRSTUVwxyz0123456789ABCDE
    region: eu-central-1
    # Use the following options to configure an AWS compatible host such as Minio
    host: 'localhost'
    endpoint: 'http://127.0.0.1:9000'
    path_style: true

aws

gitlab_rails['lfs_object_store_enabled'] = true
gitlab_rails['lfs_object_store_remote_directory'] = "lfs-objects"
gitlab_rails['lfs_object_store_connection'] = {
  'provider' => 'AWS',
  'region' => 'eu-central-1',
  'aws_access_key_id' => '1ABCD2EFGHI34JKLM567N',
  'aws_secret_access_key' => 'abcdefhijklmnopQRSTUVwxyz0123456789ABCDE',
  # The below options configure an S3 compatible host instead of AWS
  'host' => 'localhost',
  'endpoint' => 'http://127.0.0.1:9000',
  'path_style' => true
}

aws

sudo find /var/opt/gitlab/gitlab-rails/shared/lfs-objects -type f | grep -v tmp/cache | wc -l

aws

gitlabhq_production=# SELECT count(*) AS total, sum(case when file_store = '1' then 1 else 0 end) AS filesystem, sum(case when file_store = '2' then 1 else 0 end) AS objectstg FROM lfs_objects;

total | filesystem | objectstg
------+------------+-----------
 2409 |          0 |      2409

aws

xxxxxxxxxx#!/bin/bash -exwget https://aws-tc-largeobjects.s3-us-west-2.amazonaws.com/DEV-AWS-MO-GCNv2/FlaskApp.zipunzip FlaskApp.zipcd FlaskApp/yum -y install python3 mysqlpip3 install -r requirements.txtamazon-linux-extras install epelyum -y install stressexport PHOTOS_BUCKET=${SUB_PHOTOS_BUCKET}export AWS_DEFAULT_REGION=<INSERT REGION HERE>export DYNAMO_MODE=onFLASK_APP=application.py /usr/local/bin/flask run --host=0.0.0.0 --port=80