No configuration overhead for new or obsolete instances.
Detailed usage characteristics make configuration much easier.
Tune MongoDB database performance where it matters most: at every single statement.
Baselining is our approach of choice when it comes to analyzing behavior of databases.
Without requiring any configuration, Dynatrace recognizes when performance is under par. This gives you constant insights and detailed pointers in case of a problem.
It definitely matters, if your database is mostly read-only or whether it’s read-write heavy.
Dynatrace categorizes the activity on your MongoDB instances, providing a convenient insight into how it is really used.
The MongoDB activity view is your perfect basis for setting up high-performance databases.
We understand that serving different types of services makes it really hard to identify application specific bottlenecks.
Monitoring MongoDB metrics from an app’s perspective is an integral part of Dynatrace. You’ll be tackling problems of single apps so much easier.
Identifying a single non-performer among tons of database statements can be a neckbreaker for your devs.
The approach we have chosen for SQL databases works perfectly for any NoSQL MongoDB solutions.
A list of statements, including key metrics like response times and number of rows, is the best hint any dev or ops could wish for.
“We’re intrigued by its capability to work almost out of the box as well as being able to monitor system aspects as well as application performance and user experience.”