BMC AMI DevX vs. Datadog

I love these tools! However, my company has not yet transitioned from SCLM to a modern repository, and this is causing most of our developers to remain within TSO for all their development. It's been a slow adoption up to this point, but we are moving toward more modernization this year and next, so with any luck, we'll see usage pick up. Success depends on the speed at which your management is willing to move.

Incentivized

As per my experience, Datadog is best suited for complex, cloud-native environments where unified observability is critical, as it integrates seamlessly with AWS and Azure. Moreover, it provides deep visibility into latency and error rates. Datadog pricing is less appropriate for Startups with a tight budget and for organizations needing advanced incident management.

Incentivized

• The tool I use is fairly intuitive. It doesn't take long to be using it full time.
• Changing the layout/view is fairly easy. This allows it to fit individual preferences.
• It is helpful to be able to view specific windows in full screen. Usually, I have it set up to view multiple windows, but sometimes, I just want to view one window in full-screen mode.

Incentivized

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• Download source code plug-in on Azure DevOps to allow downloading prod version even if it's not in the assignment.
• Publishing Test Results on Azure DevOps from Total Test plugin
• Integration with DevEnterprise in Workbench and GenAI capabilities for enhance code analysis (Accross multiple programs/applications)

Incentivized

• In my experience, .NET Tracing Agent caused severe and untraceable performance issues
• In my opinion, usage and billing structures were opaque and surprising
• In my experience, documentation was incomplete, contradicting or sometimes completely wrong, even for common infrastructure (AWS Fargate)
• I feel support was unhelpful at times, and bounced us back and forth to other teams
• In my opinion, multiple methods of sample rate control were ineffective, adding to excessive usage and cost

Incentivized

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

Incentivized

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

Support has been amazing compared to Optim. Further, new features are very regular with File-AID - I can't remember the last time Optim had a significant update. File-AID support is very receptive to feature requests and reported bugs, including sending out hotfixes quickly.

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

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

Incentivized

The names may have changed over the years, but anyone who has been around for a while will recognize them. For Software Configuration Management, I have used TSO/ISPF/SCLM, Panvalet, ChangeMan, Librarian, Endevor, and now Code Pipeline. All of them met the basic requirements. All of them had their advantages and disadvantages. Code Pipeline, however, stands head and shoulders above the rest in simplicity, completeness, effectiveness, efficiency, and elegance.

Incentivized

Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

Incentivized

• Possitive impact. It is main product suite to enable devops in the mainframe applications team. All developers use these on day-to-day work.
• Negative impact: Recent usability issues caused disappointment in the application teams. It became hard motivate the development community to increase usage.

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