Une gestion intégrale de la performance, alimentée par une intelligence artificielle. (Dynatrace SaaS & Managed ont été developpés sous le nom «Dynatrace Ruxit»)
Au sein de la plateforme Dynatrace, Dynatrace SaaS & Managed a été conçu pour des applications et des architectures de micro-services Cloud, afin de répondre aux besoins de supervision d’environnements applicatifs hautement dynamiques.
Dynatrace SaaS & Managed constitue le moyen le plus efficace de monitorer des applications web :
“Après le déploiement d'une nouvelle version, nous avons passé plus de 30 heures à essayer d'identifier un problème de performance. Une fois que nous l'avons trouvé, il ne nous a fallu que 30 minutes pour le résoudre. Avec Dynatrace Ruxit, identifier un tel problème ne nous aurait pas pris plus de quelques minutes, nous épargnant ainsi de gaspiller à la fois temps et ressources.”
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.