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Ein Leitfaden für IT-Führungskräfte zur Zukunft von AIOps
Traditionelle IT-Operations stoßen angesichts der heutigen Komplexität an ihre Grenzen. Agentische AIOps sind die Zukunft. Dieser Leitfaden ist Ihre zentrale Ressource – von den Grundlagen bis zu fortgeschrittenen Strategien –, um KI gezielt einzusetzen, die Resilienz zu stärken, Ausfallzeiten zu reduzieren und die Performance zu optimieren.
Agentische AIOps kombinieren agentische KI mit domänenübergreifender Observability, um Probleme zu erkennen, zu diagnostizieren und zu beheben. Nutzen Sie Agentic AIOps, um Ausfallzeiten zu minimieren, die Incident-Behebung zu automatisieren und Ihren IT-Betrieb grundlegend zu transformieren.
Traditionelles Monitoring stößt bei der heutigen IT-Komplexität an seine Grenzen. Erfahren Sie, wie Agentic AIOps mit hybrider Observability zusammenspielt, um Full-Stack-Transparenz zu schaffen und Ausfälle proaktiv zu verhindern.
Von Roadmaps für die KI-Einführung bis hin zu Best Practices – dieser Leitfaden zeigt Schritt für Schritt, wie Sie Agentic AIOps erfolgreich in Ihren IT-Operations implementieren.
Agentic AIOps ist keine Einheitslösung. Erhalten Sie praxisnahe Einblicke in unterschiedliche Einsatzszenarien.
Edwin AI ist der erste KI-Agent für ITOps und unterstützt Unternehmen dabei, ihre größten operativen Herausforderungen zu meistern.
Lassen Sie Ihre Herausforderungen im IT-Betrieb hinter sich
Erfahren Sie, wie die agentischen AIOps von LogicMonitor IT-Teams wie Ihrem zu mehr Transparenz verhelfen, Probleme frühzeitig verhindern und IT-Operations effizient automatisieren.
Edwin AI und die neuen Anforderungen an die operative Widerstandsfähigkeit im IT-Betrieb
Die operative Widerstandsfähigkeit hängt von mehr ab als nur der Erkennung von Vorfällen. Erfahren Sie, wie Edwin AI ITOps-Teams dabei unterstützt, Signale zu verknüpfen, die Grundursache zu isolieren, Risiken vorherzusagen und in hybriden Umgebungen schneller zu reagieren.
KI-Vorfallmanagement: Wie KI die Störungsbeseitigung verändert
KI-natives Incident-Management vereint Agents, Observability-Kontext und kontrollierte Automatisierung in Triage und Remediation. Erleben Sie, wie KI-native Operationen aussehen.
Warum das Risiko von KI-Agenten vom Kontext der Handlung abhängt
Erfahren Sie, warum die Autonomie sicherer KI-Agenten vom Workflow-Kontext (statt fester Aktionslisten) abhängt und wie Sie die Aufsicht an Geschäftsauswirkungen, Risiko und Reversibilität anpassen.
Eine schnellere Vorfallreaktion beginnt mit besseren Kontextinformationen
Eine schnellere Incident Response hängt von besserem Kontext ab. Erfahren Sie, warum Forrester sagt, dass Observability und Wissen für das moderne Incident Management von zentraler Bedeutung sind.
Die neuen Regeln des modernen Vorfallmanagements
Moderne ITOps-Ausfälle bewegen sich schneller und breiter, als traditionelle Incident-Prozesse bewältigen können. Erfahren Sie, was Forrester zufolge reife ITOps-Teams ändern sollten.
Wie Markel LogicMonitor und Edwin AI nutzt, um den globalen IT-Betrieb zu stärken
Markel nutzt LogicMonitor und Edwin AI, um die Transparenz in seiner Hybridumgebung zu verbessern, die Anzahl der Fehlalarme um 79% zu reduzieren, die Bereitstellung von CI zu automatisieren und eine Grundlage für den KI-gestützten IT-Betrieb zu schaffen.
Agentische KI: Leistungsstark, aber fragil – Was Sie wissen müssen
Autonome KI-Agenten basieren auf anfälligen Abhängigkeitsketten. Erfahren Sie, wie proaktives End-to-End-Monitoring kostspielige Ausfallzeiten verhindert und den Betrieb aufrechterhält.
Was ist Headless-Architektur? Definition, Vorteile und ITOps-Anwendungsfälle
Die Headless-Architektur trennt die Benutzeroberfläche von der zugrundeliegenden Betriebslogik, sodass ITOps-Teams dieselben Funktionen in Dashboards, Chats, ITSM-Plattformen, Automatisierungstools und KI-gesteuerten Workflows bereitstellen können.
AIOps in den Medien
Agentische AIOps verändern den IT-Betrieb – und sorgen so für Schlagzeilen.
