Azure DevOps Server (formerly Team Foundation Server, or TFS) is the on-premise version of Azure DevOps. To license Azure DevOps Server an Azure DevOps license and a Windows operating system license (e.g. Windows Server) for each machine running Azure DevOps Server.
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JFrog Artifactory
Score 8.4 out of 10
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JFrog Artifactory is a software repository management solution for enterprises available on-premise or from the cloud, presented as a single solution for housing and managing all the artifacts, binaries, packages, files, containers, and components for use throughout the software supply chain. JFrog Artifactory serves as a central hub for DevOps, integrating with tools and processes to improve automation, increase integrity, and incorporate best practices along the way.
Azure DevOps is good to use if you are all-in on the Microsoft Azure stack. It's fully integrated across Azure so it is a point-and-click for most of what you will need to achieve. If you are new to Azure make sure you get some outside experience to help you otherwise it is very easy to overcomplicate things and go down the wrong track, or for you to manually create things that come out of the box.
It works at scale and a large number of accessible pipelines for searching, repository updates and indexing will become easier. JFrog provides end-to-end solutions for all DevOps needs. With this, Jfrog Artifactory specifically implements the management of highly available repositories, with a smooth interface and integration with all the main CI tools on the market.
Because we are a Microsoft Gold Partner we utilize most of their software and we have so much invested in Team Foundation Server now it would take a catastrophic amount of time and resources to switch to a different product.
For standard users the interface is friendly. but if you are a manager some tools are a little confusing to use, like the query system that you always need to create from scratch. Templates should be more helpful for queries and for standard procedures that you need to duplicate PBIs over time. The search history of Work Items is a little painful to use.
The main problem that seems intractable is getting the checksum of the artifact. Managing container artifacts is a game changer for us during project execution, as the container artifact type exposes all base image and Docker file steps. This makes debugging or analysis easier. Jfrog Artifactory provides promotion feature and can automated from one environment repo to another environment repo before the deployment occurs.
I have not had to use the support for Azure DevOps Server. There have never been any issues where I was not able to figure it out or quickly resolve. Our Scrum Master has used support before though, and the service has always been prompt and clear with a customer-focus
Support tickets take days to respond. The most basic of questions that should be knocked out in a few hours don't get answers for days. Tickets are also closed without resolution.
In my opinion, DevOps covers the development process end to end way better than Jira or GitHub. Both competitors are nice in their specific fields but DevOps provides a more comprehensive package in my opinion. It is still crazy to see that the whole suite can be used for free. The productivity increase we realized with DevOps is worth real money!
JFrog Artifactory has a much more friendly GUI, making package exploration less of a chore to do. Other than that, their features are pretty much comparable to each other. Both support multiple types of packages; both have API that can integrate well with CI/CD pipelines.
It has streamlined the pipeline and project management for our agile effort.
It has helped our agile team get organized since that is a new methodology being leveraged within the Enterprise.
The calendar has improved visibility into different OOOs across the project team since we all come from different departments across the larger organization.
So many times it happens at the time of dependency resolution some of the servers are down e.g NPM, Maven central, PiPy in that cause our builds starts failing. By proxying these repositories with JFrog this is never happened again.
It reduced the additional cost of container image registry and management effort.
Support of integration with Build, Monitoring, and CI tools resulted in smooth automation and management.
