Quest nommé leader en APM par le Magic Quadrant 2012 de Gartner
Quest (intégré à Dell)
reconnu leader
dans le Magic Quadrant 2012 de Gartner
pour l'APM
Lire le rapport sur la supervision
des performances applicatives
et découvrir notre
solution APM, Foglight.
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Application
Supervision des performances

Apprendre comment améliorer les performances des applications
à partir de la perspective
de l'entreprise et de l'utilisateur final.

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Résumé technique

Apprendre comment
Foglight can help you can gain
le contrôle de vos applications Java
stratégiques.

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Foglight for Java

Production-ready Java EE application performance monitoring

Get production-ready application performance monitoring (APM) of your Java apps, regardless of whether problems reside in the Java code or the container. Foglight for Java helps first responders isolate application problems in the transaction path and enables java specialists to identify the root cause. With Foglight for Java, you'll have an integral component of the Foglight APM solution, a fully integrated architecture providing comprehensive end-to-end monitoring. Rely on Foglight for dynamic run-time architecture visualization, application flow maps with client browser and network response time breakdowns, end-user session replays, and linkage to supporting virtual or physical infrastructure to facilitate triage and root-cause workflows.

  • Supervision des performances java et disponibilité allant de l'utilisateur final aux bases de données
  • Identification des problèmes de performances et de mémoire jusqu'aux lignes de code en faute
  • Limitation du délai de résolution moyen grâce à une couverture approfondie à travers l'ensemble de l'application
  • Identification des problèmes d'un seul utilisateur grâce à des capacités de diagnostic de localisation

Fonctionnalités

  • Production-ready 24x7 Java monitoring – Leverage multi-level byte code instrumentation options to improve your Java monitor flexibility, and gain high value with limited overhead.
  • Real-time alerts and intuitive workflows – Track individual requests for method-level details to facilitate triage and diagnosis. Receive alerts on slow web requests that impact end users, and click through to visualize the transaction path and response time breakdown across the run-time architecture.
  • TransactionDNA technology – Leverage a patent-pending data model that uses transactions as the framework for unifying disparate sources of rich IT data for dashboards, visualizations and analysis.
  • Customer-centric transactions – Combine with Foglight for User Experience Monitoring to integrate the user perspective with all application layer traces automatically linked back to the end user and their associated session activity.
  • Application flow maps – Visualize the full transaction flow through application server and middleware tiers application flow maps. Optionally extend mapping to include the client browser, database and storage systems, and all network devices along the path with additional Foglight cartridges.
  • Auto-detection of application run-time architecture – Keep up with dynamic production environment changes, including vMotion, by being able to visualize accurate transaction paths.
  • Java container and JVM monitoring – Support triage workflows with key data generated from tile-based views. Experience root cause analysis through deep visualizations that aid second-level support application teams. Gain insight into your environment by collecting data on state, alarms and events by server, application or Java EE artifact (such as an EAR file).
  • Memory leak detection – Pinpoint memory leaks by monitoring the heap, allocated objects and garbage collection activity by transaction and user.
  • Comprehensive APM coverage – Use Foglight for Java with other Foglight monitoring capabilities to access transactional, application component, and infrastructure visualizations of the run-time architecture. Get the correct APM view for the right user, and facilitate collaboration between application operations, support and development.

Vidéos

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Découvrez Foglight for Java

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Monitor from the end-user perspective

Monitor from the end-user perspective

Application support first responders use auto-detected run-time architectures and response time breakdowns that extend from client and external network to database in order to identify and isolate the source of end-user performance problems.

Pinpoint challenging performance problems

Pinpoint challenging performance problems

Application support can pinpoint performance problems associated with specific transaction executions by visualizing the path flow and response time breakdown of aggregated and individual transaction executions. Drill to transaction replay to visually replay the end-user session to capture the context of the user activity and drill to a transaction trace to evaluate the method level details.

Identify virtualization impacts on web application performance

Identify virtualization impacts on web application performance

Combine with virtualization monitoring for the only APM solution takes application support from the end-user transaction to JVM to VM to ESX host in order to identify the effects of virtualization and shared resource conflicts for web applications.

Specialists use expert dashboards for deep dive analysis

Specialists use expert dashboards for deep dive analysis

Java specialists use expert dashboards designed to evaluate transactional activity purely from the application layer.

Perform code level root cause analysis

Perform code level root cause analysis

Java specialists evaluate method level code detail to find the source of code based performance problems

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