Gestión de rendimiento del stack completo con Dynatrace, impulsada por inteligencia artificial (Dynatrace SaaS y Managed se desarrollaron bajo el nombre Dynatrace Ruxit)
Dentro de la plataforma Dynatrace, Dynatrace ha sido diseñado para aplicaciones basadas en cloud y arquitectura de microservicios; como dichos entornos aplicativos son extremadamente dinámicos se requiere un nuevo enfoque de monitorización.
Dynatrace SaaS y Managed es el más eficiente camino de monitorización de aplicaciones web a escala:
“Después de desplegar una nueva versión, empleamos más de 30 horas intentando encontrar un problema de rendimiento. Cuando encontramos el problema, solo nos costó 30 minutos resolverlo. Con Dynatrace, encontrar un problema similar solo nos hubiera costado minutos identificarlo, ahorrándonos tiempo y recursos preciosos.”
Dynatrace offers powerful artificial intelligence that automatically detects performance anomalies in your environment. When such problems are detected, Dynatrace sends out real-time alerts with correlated root-cause analysis details that facilitate problem resolution. There can be situations, however, when you don’t want to receive alerts related to certain known problems. For example, you may not want to be alerted each time your free disk space drops below 30%, or when a certain … read moreThe post Custom alerts: What you set is what you get appeared first on Dynatrace blog – monitoring redefined.
A process group is a logical cluster of processes running on separate hosts that belong to the same application or deployment unit. For example, you might have a cluster of server nodes where each node runs the same process in support of multiple hosts. Such related processes comprise a process group. Process-groups are key building blocks of most modern web-based application environments. Dynatrace process group detection Dynatrace automatically detects process types … read moreThe post Enhanced process-group detection supports customer-specific deployment schemes appeared first on Dynatrace blog – monitoring redefined.
It’s been about a year since we first introduced the Time frame selector feature in Dynatrace (available in the menu bar of most Dynatrace pages). The Time frame selector enables you to select a specific analysis time frame that remains persistent across all product pages and views as you navigate through your analysis. This is an extremely helpful feature for analyzing issues that affect multiple aspects of your environment. Thanks … read moreThe post Enhanced global Time frame selector functionality appeared first on Dynatrace blog – monitoring redefined.
Dynatrace monitors the performance of each transaction that occurs in your environment. Performance data, including response times for each service and service method, are tracked and stored for each transaction. By collecting such time series data for each transaction and categorizing the results based on percentiles, Dynatrace can show the distribution of response times of each service and service method over time. All of the response time distribution charts presented … read moreThe post Custom percentiles for dashboard charts & Dynatrace API calls appeared first on Dynatrace blog – monitoring redefined.
The latest Dynatrace release introduces integration support for Atlassian JIRA. With Dynatrace JIRA integration, issue tickets are generated automatically for all new problems that are auto-detected in your Dynatrace environments. Atlassian JIRA Atlassian JIRA is the most popular issue tracking system available today. A high percentage of development and operations departments worldwide use JIRA for issue management. The ability of JIRA to manage issues, trigger workflows, and track code and production … read moreThe post Integrate JIRA issue tracking with your Dynatrace environment appeared first on Dynatrace blog – monitoring redefined.