Microsoft
Azure Bicep
Microsoft's declarative Infrastructure-as-Code language for Azure — compiles to ARM JSON but significantly more readable than ARM templates.
Azure Bicep ist die native IaC-Loesung fuer Azure-zentrische Architekturen. Vorteile gegenueber Terraform: keine separates State-Management noetig, native Resource-Provider-Updates am GA-Tag, vollstaendige Azure-Roadmap-Coverage, deutlich kuerzere Syntax als ARM-JSON. Vorteile gegenueber Terraform-on-Azure: schnellere Iteration bei reinen Azure-Workloads, weniger Tool-Komplexitaet. danad nutzt Bicep fuer alle Azure-Landing-Zones und projektspezifische Module — modular, wiederverwendbar und mit GitHub-Actions-CI/CD getestet.
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.