IN THIS ARTICLE, I WILL DEMONSTRATE HOW TO CONFIGURE AND MANAGE HAProxy LOAD BALANCER FOR WEBSERVERS RUNNING ON AWS

→Pre-requisites: -

• Foundational knowledge of AWS cloud and some common yet important services of the provider.
• Basic understanding of Ansible and playbooks. My previous article for reference which will help you to run playbooks in the local system and get familiar with the tool :

• How to provision EC2 instance using Ansible. Reference for enhancing the understanding and integrating with the public cloud with the concept of dynamic inventory:

~ Problem Statement:

🔅Provision EC2 instances through ansible.

🔅 Retrieve the IP Address of instances using the dynamic inventory concept.

🔅Configure the web servers through the ansible role.

🔅Configure the load balancer through the ansible role.

🔅The target nodes of the load balancer should auto-update as per the status of web servers. …

In this article, I will demonstrate how to provision EC2 instance using ANSIBLE and how do set up a more agile environment using the DYNAMIC INVENTORY.

→Pre-requisites:

— >RedHat Ansible downloaded and configured in the local system.

>Do check out my previous article for Ansible👇👇:

~Problem Statement:

♦️ Deploy Web Server on AWS through ANSIBLE!

🔹 Provision EC2 instance through ansible.

🔹 Retrieve the IP Address of instance using the dynamic inventory concept.

🔹 Configure the webserver through ansible!

• As Ansible is built on top of python, a Python Software Development Kit (SDK) is required that enables the configuration of AWS services. The package is an object-oriented API named boto3.

pip3 install boto3   //assuming python3 is installed

→STEP-1)

• In the first step, I provisioned an ec2 instance with this playbook. …

This article is a demonstration of Automation using ANSIBLE

~WHAT IS ANSIBLE? 🤔🤔

→Ansible is an infrastructure automation tool from REDHAT. It is widely used in the configuration of systems and setting up deployment environments.

→Ansible is an abstraction layer that covers all operating systems under its umbrella that helps configuration of large heterogeneous environment. It is built on top of PYTHON 🐍.

→Ansible has Modules that enables performing various tasks in the system.Power⚡ of Ansible is Playbooks. Playbooks are nothing but YML files containing modules as per user requirements.

Problem Statement For This Hands-On-

Write an Ansible PlayBook that does the following operations in the managed nodes:

🔹 Configure Docker

🔹 Start and enable Docker…

→WHAT IS THE PROJECT?

TOOLS USED — GIT, JENKINS, DOCKER

Problem Statement-

1. JOB1: Pull the GitHub repo automatically when some developer commits.
2. JOB2: By looking at the code or program file, Jenkins should automatically start the respective language interpreter install image container to deploy code ( eg. If code is of PHP, then Jenkins should start the container that has PHP already installed)
3. JOB3: Test your application if it is working or not.
4. JOB4: If the application is not working, then send an email to the developer with an error message and if it is running file send a success message. …

→First of all, many thanks to MR.VIMAL DAGA SIR for mentoring and training in Machine learning from very basic to advance level

→I have completed Face Recognition Using Transfer Learning

→Environment requirements —

Keras, TensorFlow, Numpy, Jupyter, cv2

→In this, I have used VGG16 pre-created dataset and using this pre-trained model implemented face-recognition over my dataset

→I have taken 2 faces of Virat Kohli and Rohit Sharma and collected some images.

→It is required to have Testing and Training data. So, suggested taking 80:20 ratio of training: testing dataset.

→Screenshots of whole code and workflow

→First of all, many thanks to MR.VIMAL DAGA SIR for mentoring and training in Machine learning and DevOps from very basic to advance level

→Using this valuable knowledge I have completed the task of integration Machine learning with DevOps

→Tools used for DevOps — Git, Jenkins, Docker,

→Concept used for Machine Learning- Deep learning

SYSTEM CONFIGURATION/REQUIREMENTS-

→Base os Windows and virtual os Redhat Linux

→Jenkins installed in your RedHat system (including GitHub plugin)

→Docker installed with an image which can run python code

→Git installed in Windows and Redhat os

Problem statement- While creating a deep learning model, the process becomes too time taking and somewhat manual. …

→First of all, many thanks to MR.VIMAL DAGA SIR for mentoring and training in DevOps from very basic to advance level

→Using this valuable knowledge, I have built one AUTOMATION SYSTEM under the guidance of VIMAL DAGA SIR and his TECHNICAL VOLUNTEERS.

→WHAT IS THE PROJECT?

TOOLS USED — GIT, JENKINS, DOCKER

→Jenkins plays 3 jobs in this system

job-1) Jenkins will keep on monitoring and keep on deploying out the site on a TESTING server

job-2)Jenkins will keep on monitoring and keep on deploying out the site on PRODUCTION server

job-3)It will run this job only when it is triggered by the testing team and it will merge branched and run job 2 and finally destroy the testing server! …