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.”
Following the release of version 108, here are the latest enhancements that we’ve introduced to the Dynatrace Managed deployment option.New Security Gateway pageTo enable you to see the resource usage and availability of your public Security Gateways, we’ve overhauled the Security Gateway page. The page now provides a chart that shows you the resource consumption of your Security Gateways. We’ve also added an indicator that shows you when your Security Gateways were offline…. - Read the whole story.The post Dynatrace Managed feature update for version 108 appeared first on #monitoringlife.
Ensuring the worldwide availability of your web application is key to your business success. This is why we’ve made it possible to now check your application’s accessibility to the IP addresses that Dynatrace uses to deliver availability web checks…. - Read the whole story.The post Now you can verify application accessibility to web-check IP addresses appeared first on #monitoringlife.
You can now configure Dynatrace to proactively alert you if any process within a specific process group goes offline or crashes. Dynatrace has also long been able to recognize the unavailability of specific processes as the root cause of certain response-time issues and other problems. However, until now, active availability monitoring and alerting was only available at the application level—made possible via web checks and real user monitoring…. - Read the whole story.The post Availability monitoring and alerting for process groups! appeared first on #monitoringlife.
A long awaited Dynatrace feature—the ability to view the history of detected problems in your environment within custom time frames—is finally here!To date, the Problems feed and the Problems dashboard tile have provided a rolling 72-hour history of open/closed problems in your environment. We selected 72 hours as the default time frame because this gives DevOps teams adequate time to analyze detected problems, even when they occur on weekends. As always, quick response to detected problems is considered best practice. However, there are instances when custom time frame analysis of detected problems can be valuable…. - Read the whole story.The post View history of open/closed problems in your environment appeared first on #monitoringlife.
The new problem comments feed enables your team members to collect team knowledge, discuss AI-detected root causes of detected problems, and evaluate appropriate remediation actions related to problems detected by Dynatrace.AI-driven team collaborationThe term “ChatOps” suggests team collaboration and conversation-driven problem analysis that ultimately leads to effective remedial actions. As today’s web-application environments are often huge, service clusters are dynamic, and immediate response time is critical to maintaining customer satisfaction, AI-supported problem- and root-cause analysis is the next logical and necessary step in improving upon traditional application-performance monitoring tools. Nevertheless, team collaboration and communication remain essential to successful implementation of AI-supported problem- and root-cause analysis…. - Read the whole story.The post AI-driven team collaboration: Problem-comments feed and new API endpoint appeared first on #monitoringlife.
Dynatrace has long provided monitoring visibility into Nginx modules via the response time hotspots listing on each Nginx service page. Now you can access this hotspot data within the global CPU profiler where it is now correlated with Nginx CPU-consumption metrics…. - Read the whole story.The post Now you can analyze Nginx CPU consumption! appeared first on #monitoringlife.