Dynatrace Reviews

We are using Dynatrace to monitor our core application of the bank system. It is used especially in technical metrics monitoring.

Dynatrace improved the resolution of problems by making it easier to find root causes and easier to predict bad system behaviour.

The web dashboards are quite useful, good looking, and easy to use.

• The product could be faster and lighter, especially the rich client which uses many resources. 
• Graphically, it is not good.

• Load testing in R&D to anticipate bottlenecks. 
• Used in production environments to retrieve consistent use cases.

• Mean time to root cause analysis decreased drastically. 
• It allows us to address issues directly. 

The NeoLoad plugin is awesome, and it gets results from load tests correlated with test scenarios. 

C language integration requires manual implementation through the SDK, which is rather difficult and time consuming. 

Performance monitoring of business critical applications in production and pre-production environments.

Mean time to recover (MTTR) has reduced significantly during major outages due to specific data pinpointed by DT applications.

Smartscape display for ease of visibility, pinpointing a exact problem, and providing necessary details for fixing and even improving on.

Log analytics in the classic synthetic and RUM tools would be a great addition. Although, it is understandable that this is offered as a good reason for migrating to Dynatrace.

• Full stack monitoring for several customers
• Trusted consultancy
• Development lifecycle support
• Showing app problems during the testing phase

Full insight on app bottlenecks, mainly in production. This is very useful for the development lifecycle, too.

Dynatrace is a powerful tool for full stack monitoring with APM capabilities and AI root cause problem analysis. This helps our customers with their digital transformation and gaining insight into their infrastructure.

• AI root cause analysis
• Smartscape
• Autodiscovery and correlation of logs
• Infrax
• User XP, etc.
  

• Container log monitoring
• Multi-customer accounts on one server
• API photo third-party tools integration

Monitoring production environment at the hardware and application performance level
for evaluation of performance during testing.

• Simplified the way to monitor a medium to big environment.
• Reduced solution time when there are major breaks in the system.

• Alerting on standard or self-defined incidents.
• Integration with other tools in company using SNMP traps.

Make it easier to define applications. E.g., provide an API for applications defined by REST services.

We are implementing this as part of an overall end user experience and application monitoring. Our environments include Java, .NET, web, mobile, Linux, Windows, etc.

• Complete visibility into end-to-end user transactions.
• Automation and anomaly detection has helped reduce MTTR and MTBF. 
• We could impose optimization processes as well.

• Quick, simple deployment
• Automation
• Auto discovery
• Detailed data availability all the time

We would like to see more dashboarding capabilities and the ability to export custom reports. Additionally, we would love to see more advanced log analytic capabilities, though the current ones are already ahead of competition.

Monitoring front-end for mobile banking within AppMon. We are using a balancer on NGNIX with a Dynatrace plugin to check availability by parsing logs.

Dynatrace helps to build business and non-business dashboards and the appropriate alarming on mail groups.

Native Java integration and building complex PurePaths between the front-end and back-end databases.

• It looks like it has already been improved with OneAgent, but it needs migration. 
• It needs improvement with proprietary protocols for the DC RUM part.

It helps customers to understand performance, problems, and user behaviour. I implement an APM solution from Dynatrace to different customers in different industries, such as banking and telco.

It provides a better understanding of what is going on. It helps developers fix old and new problems, helps businesses to understand conversions, statistics, and service health.

• AI
• Ease to configure agents.
• All performance views through every application and system.
• Automatically identifies logical architecture and transactions.

• Improve Dynatrace for the following industries: telco, eCommerce, and banking.
• Needs better visualisation for the service health model, which contains different modules, services, devices, etc.