Azure DevOps vs. Datadog

DevOps is much more user friendly than Git itself. There is a more GUI-centric interface, tighter integration with the Azure / Entra architecture. For those of use in the Microsoft-sphere, it really is excellent for code-centric project management. I rate this as an 8 because it does not seem quite as well suited for fully functional / non-code project aspects in implementation. Nor does it have customer / end-user portal / front end for easy reporting and insight.

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

• Flexible Requirements Hierarchy Management: AZDO makes it easy to track items such as features or epics as a flat list, or as a hierarchy in which you can track the parent-child relationship.
• Fast Data Entry: AZDO was designed to facilitate quick data entry to capture work items quickly, while still enabling detailed capture of acceptance criteria and item properties.
• Excel Integration: AZDO stands out for its integration with MS Excel, which enables quick updates for bulk items.

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

• I did mention it has good visibility in terms of linking, but sometimes items do get lost, so if there was a better way to manage that, that would be great.
• The wiki is not the prettiest thing to look at, so it could have refinements there.
• It could improve the search slightly better.

• 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

I don't think our organization will stray from using VSTS/TFS as we are now looking to upgrade to the 2012 version. Since our business is software development and we want to meet the requirements of CMMI to deliver consistent and high quality software, this SDLC management tool is here to stay. In addition, our company uses a lot of Microsoft products, such as Office 365, Asp.net, etc, and since VSTS/TFS has proved itself invaluable to our own processes and is within the Microsoft family of products, we will continue to use VSTS/TFS for a long, long time.

Incentivized

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

Incentivized

It's a great help to get more information about new feature release and stay updated on what the dev team is working on. I like how easy it is to just login and read through the work items. Each work item has basic details: Title, Description, Assigned to, State, Area (what it belongs to), and iteration (when it’s worked on). See image above.They move through different states (New → Discovery → Ready for Prod → etc.).

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

When we've had issues, both Microsoft support and the user community have been very responsive. DevOps has an active developer community and frankly, you can find most of your questions already asked and answered there. Microsoft also does a better job than most software vendors I've worked with creating detailed and frequently updated documentation.

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

Was not part of the process.

Incentivized

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

Incentivized

We love the multi-tier hierarchy in Azure DevOps for tasks, with epics, features, stories, bugs and tasks all available in a nice nested hierarchy. It's not as pretty as monday.com and doesn't work as well OOTB as ServiceNow SPM however.

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

• Increased dev team efficiency through more streamlined development processes and task automation.
• Improved quality of software deployments due to better source control, automated testing, and release management options available in DevOps.
• Better collaboration between the dev team, business analysts, and agile project managers.

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