If you’ve been anywhere near the IT industry, you’ve very likely heard the term containers🚢. The adoption of containers is growing exponentially as they are lightweight, portable, and revolutionary fast. Nowadays, deployments over containers are holding an upper hand over VMs for larger environments.

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 : LINUX AUTOMATION WITH ANSIBLE This article is a demonstration of Automation using ANSIBLEmedium.com

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 🐍.

→WHAT IS THE PROJECT? TOOLS USED — GIT, JENKINS, DOCKER Problem Statement- JOB1: Pull the GitHub repo automatically when some developer commits. JOB2: By looking at the code or program file, Jenkins should automatically start the respective language interpreter install image container to deploy code ( eg. …

→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…

→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…

→WHAT IS THE PROBLEM STATEMENT? 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 the PRODUCTION…