Microsoft
Azure Monitor & Log Analytics
Microsoft's unified observability stack — metrics, logs (KQL-based), traces, alerts and dashboards in one platform.
Azure Monitor ist der Single-Pane-of-Glass fuer Cloud-Observability im Microsoft-Stack. Komponenten: Log Analytics (KQL-basierte Log-Auswertung), Application Insights (APM fuer Web-Apps), Metrics-Explorer, Alerts mit Action-Groups, Workbooks fuer visualisiertes Reporting. Skaliert von Single-VM-Monitoring bis Enterprise-Architekturen mit Dedicated-Cluster-Workspaces (>1 TB/Tag Ingest). danad hat Azure Monitor als Enterprise-Monitoring-Architektur fuer Energie- und Industrie-Kunden implementiert — mit dedizierten Workspaces, Cross-Workspace-Queries und Sentinel-Integration.
Services around this technology
Case studies with this technology
- Replacement of Citrix environment with Azure Virtual DesktopFull migration of 8,000 Citrix users to a highly automated AVD target architecture.
- Development of an AI Platform based on Microsoft AzureSecure and scalable AI usage in the company is created through a central Enterprise Search that bundles information from systems such as SharePoint, ServiceNow, and SAP.
- Security Modernization with a Focus on Microsoft 365 & SOC ReadinessSustainable improvement of the security posture in the Microsoft ecosystem with a focus on identity protection, tenant hardening, and SOC readiness.
- Evolution of an Enterprise Monitoring Solution on AzureRedesign of the Azure Monitoring architecture with a Dedicated Azure Monitor Cluster, standardized DCR Rules, and complete Infrastructure as Code automation.
- Successful IT Carve-out of a Complete InfrastructureFull IT carve-out with structured decoupling, migration of central IT services, and a secure transition phase without unnecessary downtime.
- NIS2 Compliance Implementation for Critical InfrastructureHolistic implementation of NIS2 requirements: From gap analysis and technical implementation to audit readiness.
- AI-powered Automation with Azure AI Foundry & n8nComplete automation of document-based business processes through AI-supported workflows – from data extraction to decision support.