An enterprise ready, low-code Git-based DevOps toolchain that enables all developers to connect, transform and modernize mainframe application with CI/CD automation, integrated developer environments (IDE), AI/ML-based application performance monitoring and visualization dashboards, and automated testing.
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Datadog
Score 8.5 out of 10
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Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
It's pretty good at creating an extract of a whole table, but not the best at grabbing all related tables in my experience. Pretty intuitive on setting up your test data categories. I also really like that it can either run via ISPF or via Topaz which was included with our purchase.
DataDog Is well suited to all of the Infrastructure Monitoring Solutions, DB monitoring, and other Network monitoring also. It's not well suited because it cannot give perfect Infrastructure recommendations for our use case but also For example: If we are using AWS DB to monitor performance insights then Datadog is less effective there because AWS gives very niche recommendations.
APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair.
Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done.
We had a couple "integrations" that had some issues during setup, but Support addressed them very quickly
Unnecessary alerts about DataDog components...by the time I see them, they're almost always also fixed
I wish there was a DataDog mobile app that would have dedicated alerts (configurable per alert to override Do Not Disturb setting) instead of relying on emails notifications that could be overlooked in the midst of many incoming emails around the same time.
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.
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.
Optim is more user friendly in how it operates, in my opinion. It's less obtuse to figure out how to extract and mask the data required compared to File-AID. Further, Optim is easier to gather related tables, by far. I do prefer using File-AID via the Topaz GUI much more than using Optim via its GUI. Finally, I personally believe that File-AID is significantly faster to run than Optim - this could be a configuration issue.
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
