Curated articles, resources, tips and trends from the DevOps World.
Federico invites Michael onto the Quality Sense podcast to discuss his unique approach to testing and how he arrived there.
Nowadays, using Docker as an infrastructure container for local testing purposes is becoming more and more common. Many times developers exploit docker-compose functionality to create an infrastructure stack that contains their application, web server, and databases in different docker containers.
SivaKumar RamarJul 25 · 1 min readThe Fundamentals of AWS Devops
Jenkins is an open-source automation server which enables developers around the world to reliably build, test, and deploy their software.
Azure Kubernetes Service (AKS) is a highly available, secure, and fully managed Kubernetes service of Microsoft Azure. The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerized applications easy.
There are multiple Mobile DevOps Tools with different strengths contributing to a reliable Mobile DevOps process. . In today’s organizational environment, ‘DevOps’ is the most used buzzword and has become a part of its agile software culture.
My belief is that dockerization must be handled as early as possible for a web server project. It becomes harder later on, and the temptation to just put a python manage.py runserver behind a simple Nginx is growing exponentially with the size of the project.
We are going to deploy an infrastructure with all the powerful features of Kubernetes , like deployment,service,pvc to host a website.We are also going to use Jenkins for CI/CD. 2. When we launch this image, it should automatically starts Jenkins service in the container. 3.
Kubernetes (also known as k8s or “kube”) is an open source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications. Nodes: These machines perform the requested tasks assigned by the control plane.
The technique emphasizes that the configuration of delivery pipelines that build, test and deploy our applications or infrastructure should be treated as code. They should be placed under source control and modularized in reusable components with automated testing and deployment.
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