Data Center Real-User Monitoring (DCRUM), discontinued vs. Splunk Application Performance Monitoring (APM)

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

Good for below cases 1. There is a front end and need to correlate data with front end data 2. multiple microservices and need to check the health of each system 3. correlate data from various sources 4. Application performance is a key to be captured 5. application performance is a key metric.

Incentivized

• Dynatrace DCRUM can monitor legacy application protocols that are still used in a lot of organizations worldwide who still trust in those technologies.
• DCRUM monitors client-server architectures very well and can pinpoint issues along an infrastructure stack.
• Dynatrace DCRUM can analyze a wide spectre of protocols: Corba, DNS, DB2, Exchange, TCP, HTTP, IBM MQ, Citrix, ICMP, Informix, Tuxedo, SMB, LDAP, MSRPC, MySQL, NetFlow, Net8, Oracle Forms, RMI, SAP GUI, SAP HANA, SAP RFC, SMB, SOAP, XML.

• Detect and Troubleshoot, which allows team to eliminate errors.
• Dashboard creates a one stop location for environment health
• Provides visibility, access to logs and user data real time.

Incentivized

• Major upgrades process is sometimes unpredictable.
• The use of SQL Server should be evaluated for something else.
• Easier SSL key handling.

• I wish Splunk Application Performance Monitoring could integrate with packet capture and analysis tools and provide the integrated analysis results on each tier of the application

Incentivized

Best of breed.

Splunk is a great tool for log mining. It is less time-consuming and easy to use. It provides high security, it has customisable dashboards. Furthermore, it acts as a search head, and it gives real-time status. It has the ability to collect data from any source and multiple sources, and it can correlate them.

Incentivized

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

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.

It is good that the correlation analysis and the cause of the failure can be analyzed more extensively through the collection of many data. It is good because it provides a user interface (usability) well and can be used conveniently.
It is good because it can utilize anomaly detection through various AI-based ML models.

Incentivized

• Dynatrace Network Application Monitoring (NAM), formerly DCRUM, helped us get a lot of info on an ongoing issue.
• It helped us figure out network bottlenecks in our environment.
• It is a very costly tool and a lot of other cheaper tools give same kind of info.

Incentivized

• It gave us more quicker alerts in a organize way to distribute to specific audience.
• Helped us to improve our uptime by getting pro-active alerts via emails
• More collaboration in a DevOps culture

Incentivized