Azure DevOps Server vs. Datadog

In our case it was best suited when we started working remotely, we were able to track everything in out projects easily, able to share our codes, give reviews for the codes and also create integration and deployment CI/CD plans for the release and testing. It helped our team members with the productivity, early prototyping and release. Create summarised reports of different aspect of our projects. Even in other scenarios it is one of the best tools to use for collaboration and project management. I haven't found any specific scenario where it is not appropriate

Incentivized

Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.

Incentivized

• Vast range of Template for Automated Build and Release Pipeline with option to have conditional triggers
• Code repository mechanism is aligned with GIT which is a well known public repository system
• Bug Management is also an integral feature of this tool
• Dashboard creation option of Build and Release pipeline is also available

Incentivized

• Create Dashboards as per application, environments, and Custom metrics in one panel.
• Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
• Playbooks, SLA definition, success and error quotas, request visualizations.
• DB monitoring, Serverless stack monitoring.
• Alerting of Production incidents so we can quickly resolve the issues on time.

Incentivized

• Searching through code can be somewhat cumbersome. It would be nice if there was a way to do general searches in certain areas of the system.
• Without proper training, the system can be confusing to navigate. This issue can be prevented with good training but it is something to be aware of.
• Navigation can be clunky at times depending on where you are in the system. For power users, this is not a huge deal but it is a tad bit annoying.

Incentivized

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

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.

Incentivized

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

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.

Incentivized

There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.

Incentivized

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

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

Do research beforehand and, if possible, do a trial run before implementing into production environment.

Incentivized

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

Azure DevOps is a fully integrated solution that solves all of the problems that our separate tools did in a much easier-to-use way. Before we implemented DevOps we had three different solutions that we had to integrate with each other and required a lot of manual intervention to make sure they worked correctly.

Incentivized

Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered around many blogs or articles. I would love to have my own Grafana + Prometheus expert to setup all the peices we need but you're paying for expertise there instead of an experience with Datadog.

Incentivized

• 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.

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized