Curated articles, resources, tips and trends from the DevOps World.
Emile BronkhorstJun 1 · 5 min readEverything you need to setup a CI/CD pipeline for FREE with TravisCI and Terraform to automate the creation of your infrastructureWhat is CI/CDContinuous Integration (CI) & Continuous Deployment (CD) is a set of operational principles (most popular in Agile methodo
First off, I would like to say that I am part of an ageing IT myself, so this is not going to be a ‘holier than thou’ article admonishing your ‘IT ways’. These are merely my observations.
Giving your dev team the freedom to run cloud environments has never been easier, thanks to IaC and env0’s environments-as-a-service platform.
The way to go here is using UFW ( Uncomplicated Firewall) which is an interface to iptables that is designed to simplify the process of configuring a firewall. To set up this firewall is quite simple and I already know an article that does a great job of explaining it.
This Python Numpy tutorial for beginners talks about Numpy basic concepts, practical examples, and real-world Numpy use cases related to machine learning and data science What is NumPy? NumPy in python is a general-purpose array-processing package. It stands for Numerical Python.
A frequent conversation I have is about branching patterns. Legacy development was all about long-lived branches to develop complete features followed by code freeze and merge hell. With continuous delivery, this changes.
Hey Software Folks, I want to call each one of you Designers and solicitors too from DevOps perspective !! Let’s dig and talk more about Ingress first and take a spin with Service Mesh as way to understands its mapping around the same ingress routes.
Docker has gained a lot of popularity in the IT industry in recent times. So, in this article we will try to understand what is docker, why it became so popular and how to use it. But before understanding Docker itself, we will try to understand why it is designed in the first place.
According to the facts more than 95% of the ML models are developed are not used in real development environment .To overcome this problem one of the brilliant idea to continuous integration and continuous deployment using (CI/CD) Devops technology.
The purpose of this article is to demonstrate integration of Machine Learning with DevOps. Job1 : Pull the Github repo automatically when some developers push ML Model to Github.
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