Data Center Real-User Monitoring (DCRUM), discontinued vs. Google Cloud Operations Suite

Dynatrace Network Application Monitoring (NAM), formerly DCRUM, has improved greatly compared to when it was DCRUM; however, it still needs a lot of improvement in end-to-end flow capture with regards to network monitoring. Its alerting and integration capabilities are very good and easy to use. But it still needs a lot of tweaking in usability.

Incentivized

Stackdriver is really a very good tool for errors and reporting. It provides the application issues especially the exception errors and sends the alerts. It's available for multiple languages like Python, GO and Java, etc. The best part is all the application errors are available at a single place and it comes with the GAE application. It's slow if you want to search very old logs and need to wait couple of hrs sometimes.

Incentivized

• Dynatrace Network Application Monitoring (NAM), formerly DCRUM, is very useful to find the network packet flow across applications
• It shows the application behavior in terms of end-user performance
• It integrates very well with other Dynatrace components

Incentivized

• All the application error reporting available at a single place.
• You will get the real-time application error and alerts.
• It's really easy to use and no need to worry for the setup.

Incentivized

• Its configuration requires a lot of technical and business knowledge to drive monitoring expectations to dashboards.
• DCRUM needs a robust monitoring architecture to store, analyze and visualize all collected data.
• DCRUM can't monitor the latest Microsoft Exchange versions.

• For searching and filtering the logs the system is slow sometimes.
• An agent needs to be installed in each VM to monitor specific metrics.
• The pricing model is confusing.

Incentivized

Best of breed.

The only thing missing for a 10, would be if they texted or called you back.

It is also a great problem detection tool, and this is extremely important for General Motors.

The user can count on the ease of flexible panels and advanced visualization tools that help to identify problems. Among the most common, we can mention:

- containment of hosts;

- cloud provider limitation;

- hardware wear.

And also Stackdriver Integration with other Google Cloud data tools such as BigQuery, Cloud Pub/Sub, Cloud Storage and Cloud Database.

Incentivized

Nagios can't trace real user transactions from a front-end tier through a backend-tier,;with Nagios you only can monitor server availability and hardware issues. Riverbed is commonly used to determine networking issues without considering real user transactions impact on an application stack.

Honestly, because it is from Google, we also mainly chose this product on the recommendation of other friends and businesses, and because of its reliability, security and ease of access. It also has excellent technical support and warranty. The staff is fast and super efficient and always helps us when we need help.

Incentivized

• It has reduced the number of war rooms as well as the number of people involved to address issues.
• It helps in utilization trending for network capacity.
• It has prevented poor solutions from hitting production.
• When the various business units launch own initiatives such as third party tools or new platforms, it's become extremly easy to detect.
• The reports help in the field of continuous improvement as any changes are immediately discovered and can be compared to history. Deviations from what you have decided as a tolerance corridor can be used to trigger alarms, both positive and negative.

• Record storage and search.
• Real-time insights.
• Troubleshooting without interruption.

Incentivized