Full stack performance management, powered by artificial intelligence (Dynatrace SaaS and Managed were developed under the name Dynatrace Ruxit)
Within the Dynatrace platform, Dynatrace SaaS and Managed was built for cloud-based applications and microservices architectures as these highly dynamic application environments require a new approach to monitoring.
Dynatrace SaaS and Managed is the most efficient way to monitor web-scale applications:
“After deploying a new release, we spent over 30 hours trying to find a performance problem. Once we found the issue, it only took us 30 minutes to fix it. With Dynatrace application performance monitoring, finding a similar problem would only take us minutes to identify, saving us precious time and resources.”
We’re happy to announce the public beta release of Varnish cache monitoring for Dynatrace. Varnish Cache is an HTTP accelerator that’s designed for dynamic, content-heavy web sites as well as heavily-consumed APIs. During the public beta release period, you need to manually enable Dynatrace Varnish cache monitoring before you can use it. To enable Varnish cache monitoring Go to Settings > Monitoring > Monitored technologies. On the Supported technologies tab, set the Varnish … read moreThe post Introducing Varnish cache monitoring appeared first on Dynatrace blog – monitoring redefined.
We’re currently working on significant enhancements to our synthetic availability monitoring options. Clickpath web checks and availability web checks will soon be complemented by powerful new synthetic monitoring options that you can use to test the availability of your web applications and key workflows. To access web checks, select Synthetic availability from the navigation bar. Here you’ll find that the previously named Web checks page has been renamed Synthetic checks (see image below). The functionality … read moreThe post New menu entry point for web checks & synthetic availability monitoring appeared first on Dynatrace blog – monitoring redefined.
Dynatrace recently introduced request attributes, a valuable new service-monitoring feature that enables fine-grain service filtering and performance analysis. By defining request attributes for your service’s requests, you can enable advanced filtering for service requests across all Dynatrace analysis views. Once configured, request attributes help you to better understand the relationships between performance, errors, and application-specific meta data in your requests. Until now this functionality was only available for web request … read moreThe post Request attributes: Java method argument capture is now supported appeared first on Dynatrace blog – monitoring redefined.
During the dawn of the web 2.0 era, back when web sites first began to evolve into the dynamic web applications that we know today, asynchronous web requests were sent via the XMLHttpRequest (XHR) API (commonly known as Ajax). Within the past two years, a new API type called Fetch API was introduced into all modern browsers to support such asynchronous requests. Beginning with OneAgent installations version 119 or higher, Dynatrace real user … read moreThe post Real user monitoring: Support for Fetch API is now available appeared first on Dynatrace blog – monitoring redefined.
We’ve simplified the process for defining and managing custom-service monitoring in your environment. Custom services are application services that can’t be detected by Dynatrace out-of-the-box because they’re built on non-standard frameworks or technologies. With Dynatrace custom service detection, you can now define any method, class, or interface as the entry point of a service. Once configured, custom services are monitored alongside all the auto-detected services in your environment. The latest enhancement … read moreThe post Easily configure detection of your environment’s custom application services appeared first on Dynatrace blog – monitoring redefined.
One of the most important and basic features of any performance monitoring solution is the ability to track metric trends over time (i.e., charting of time-series data). Dynatrace uses sophisticated charting to visualize changes in metric trends over time, making it easy to see trends at a glance. Comparison of trends within separate time periods has long been a challenge, however. When two time frames occur close together in time, you … read moreThe post Compare service request performance and behavior over time appeared first on Dynatrace blog – monitoring redefined.