What is the difference between Azure DevOps Server and Azure DevOps Services?

What is the difference between Azure DevOps Server and Azure DevOps Services?

Azure DevOps Services is a cloud product that delivers a scalable, dependable, globally available hosted service. A 99.9% service level agreement backs it, is monitored by our operations staff 24 hours a day, and is available in local data centres worldwide.

Azure DevOps Server , the on-premises product, is built on a SQL Server backend. When customers need their data to stay within their network, they frequently choose the on-premises version. When they need SQL Server reporting services that interact with Azure DevOps Server data and tools, for example.

Although both packages provide the same fundamental features, Azure DevOps Services has the following advantages over Azure DevOps Server:

  • Server management has been simplified.
  • Instant access to the most up-to-date features
  • Remote site connectivity has improved.
  • A shift away from capital expenditures (servers, etc.) and toward operational expenditures (subscriptions).

Consider the following significant distinctions to evaluate which offering or on-premises best suits our needs.

Differences between Azure DevOps Services and Azure DevOps Server

Consider the following aspects when deciding which platform to use or if we're thinking about moving from on-premises to the cloud:

  • Users and groups
  • Security and data protection
  • Data scope and scalability
  • User access management
  • Authentication

Specific differences via features

Even though Azure DevOps Services is a hosted version of Azure DevOps Server, several features differ. Some functions of Azure DevOps Server aren't available in Azure DevOps Services. For example, to provide reporting, Azure DevOps Services does not support integration with SQL Server Analysis Services.

Two of the following areas have different levels of support:

  • Customization of processes
  • Reporting

Scope and scale data

As the business grows more data are coming in and going out, so in that case as per the requirement, the user can also scale up the instances.

Azure DevOps Services is different from Azure DevOps Server in a few ways. Organizations and projects are the only two alternatives for scoping and scaling data at the moment. Azure DevOps Services organizations get their own URLs (for example, https://dev.azure.com/fabrikamfiber ), and they always have one project collection. Within a collection, an organization can have multiple projects.

Wherever we would establish collections in Azure DevOps Server, we recommend creating organizations in Azure DevOps Services. The following are possible scenarios:

  • We can buy Azure DevOps Services users for each organization; paid users can only access the organization where the payment is made. Visual Studio subscriptions can be a good alternative if we have users who need access to many organizations. Visual Studio subscribers can join as many groups as they like for free.
  • Currently, we must manage organizations one at a time. When we have a lot of organizations, this approach might be time-consuming.

Deployments, project collections, and projects are the three methods for scoping and scaling data in Azure DevOps Server. Deployments are, at their most basic level, merely servers.

However, more elaborate deployments are possible, such as:

  • A two-server deployment with SQL separated off on a separate machine
  • Farms with a large number of servers for high availability

Project collections act as security and administration containers as well as physical database boundaries. They're also used to organize initiatives that are connected.


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