Automate Your Linux Deployment Using Azure DevOps. A comprehensive guide on utilizing Azure DevOps to the fullest using CI/CD and shell scripts.
Feel like you have been logging into your Linux servers too much lately? Good, this might be the right article for you. In teams, either large or small manual deployments can be tedious. But they are also predictable. Deployment steps don’t really change that often unless you have a breaking change or you are implementing a major feature.
So, why don’t you just automate it? You don’t need to do it yourself. Do important things like writing code and let a machine do the deployments for you.
If your team is blessed to use Azure DevOps here is a tutorial to finally automate the hell out of your deployments. You seldom have to log on to your Linux servers again.
In this tutorial, we will be making an automated pipeline to deploy .NET Core applications to a Centos 8 server. The app will be run as a service and we will serve those services through a reverse proxy using NGINX.
In this article, see if there are any differences between software developers and software engineers. What you’re about to read mostly revolves around my personal thoughts, deductions, and offbeat imagination. If you have different sentiments, add them in the comment section, and let’s dispute! So, today’s topic…
How to create, build, deploy and configure an Azure Function using Azure DevOps, Azure CLI and Powershell.
Update: We received feedback in this blog and the Developer Community about an issue after upgrading from Azure DevOps Server 2019 Update 1.1 to Azure DevOps Server 2020 RC1.
Site Reliability Engineering is a fast-evolving engineering discipline, under the realms of DevOps, that is focused on ensuring desirable levels of reliability for any system, solution, or service offered or used by an organization. As the...
DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.