Backup Experts in Munich

• Modernization of a large-scale Java enterprise application*

The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.

Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.

Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence

Unified ITSM framework

• Definition of a company-wide ITSM target picture
• Introduction of a uniform service structure across all business units

SLA and OLA management

• Building a standardized SLA framework
• Definition of service classes (Business Critical, Standard, Low Priority)
• Introduction of OLAs between internal teams
• Building meaningful SLA reporting
• Definition of KPI and service dashboards for business units

Service portfolio management

• Definition of service descriptions
• If needed, preparing possible cost and service billing

Ticketing & processes

• Incident management
• Uniform ticket categories
• Standardized prioritization
• Escalation matrix
• Automations
• Self-service optimization

Request fulfillment

• Service catalog across all business units
• Approval workflows

Problem management

• Introduction of root cause analysis
• Known error database
• Problem review process

Complete asset management concept

• Hardware lifecycle management
• Software lifecycle management
• Leasing lifecycle
• Mobile device lifecycle
• Monitor lifecycle
• Phone lifecycle

Processes

• Procurement
• Goods receipt
• Inventory
• Assignment
• Return
• Disposal
• Leasing return Goal: single source of truth for all assets

CMDB design

• Definition of all configuration items:
• Workplace
• Notebooks
• Monitors
• Mobile phones
• Printers

Infrastructure

• Servers
• Firewalls
• Switches
• WLAN
• Storage
• Backup systems

Cloud

• Azure resources
• Microsoft 365
• SaaS services

Relationships

• User ↔ Asset
• Asset ↔ Service
• Service ↔ Infrastructure
• Location ↔ Asset
• Goal: make all service dependencies visible

Software asset & license management

• License management concept
• License balancing
• Compliance reporting
• Microsoft license management
• Adobe license management
• SaaS management
• Contract management
• Renewal management

Interfaces & automation Existing systems

• Workday
• Joiner
• Mover
• Leaver

TESMA

• Leasing data
• Contract data

Matrix42

• Asset synchronization
• User synchronization

Active Directory / Entra ID

• User management

Microsoft 365

• License assignment
• Group management

Dormakaba

• Access processes

• Lifecycle services

Monitoring platforms

• PRTG
• Palo Alto
• Cisco

Reporting & KPI framework

• Definition of a management dashboard
• KPIs
• Ticket volume
• SLA fulfillment
• MTTR
• First resolution rate
• Asset accuracy
• License compliance
• Change success rate
• Service availability
• Degree of automation

Network redesign support

• Governance
• Support of the network redesign from an ITSM point of view
• Definition of affected services
• Change management structure
• Communication concept

CMDB integration

• Recording of all network components
• Service mapping
• Dependency analysis

Validation of documentation and knowledge base articles

• Network documentation
• Operations documentation
• Standard changes

Monitoring & event management

• Target picture
• Central monitoring concept
• Event management process
• Alerting strategy
• Escalation model

Systems

• Cisco

• Palo Alto

• Fortinet

• Rubrik

• Veeam

• Matrix42

• Azure

• Microsoft 365 Automation

• Ticket creation from monitoring

• Escalations

• Standard actions

Audit, compliance & information security

• ISO 27001 consulting
• TISAX consulting
• NIS2 preparation - consulting
• Audit-ready processes
• Documentation structure
• Evidence tracking in Matrix42

Roadmap

• 12-month roadmap
• Prioritization of all measures
• Quick wins
• Medium-term projects
• Long-term target picture
• Documentation

Oracle Project Management and Automation

As part of the project, the operation of an Oracle infrastructure was automated by developing and enhancing Puppet modules and migrating existing Bash scripts to a standardized configuration management solution.

The aim of the project was to standardize and automate administrative processes, improve the maintainability of the Oracle platform, and increase the efficiency and traceability of infrastructure management through the use of Infrastructure as Code.

• Analysis and migration of existing Bash shell scripts to a Puppet-based automation solution
• Development and enhancement of Puppet modules for Oracle environments
• Automation of installation, configuration and operational processes using Infrastructure as Code
• Standardization and optimization of configuration management for Oracle systems
• Creation and maintenance of technical and operational documentation
• Planning, coordination and professional support during project implementation
• Operation and automation of Oracle systems on x86-based Linux server platforms
• Testing and quality assurance of the developed Puppet modules
• Analysis and resolution of technical errors as part of the automation and migration
• Close coordination with specialist departments and infrastructure teams to implement automation requirements

Technologies used: Puppet 7/8, SLES 15, Oracle 19, Oracle Grid, SVN, Windows Server, Confluence, VS Code, Ruby, Bash, Pass

• Set up Azure Kubernetes clusters (AKS) with network policies, security groups, and RBAC
• Developed Terraform-based infrastructure as code for secure, reproducible deployments in the BMW Azure cloud
• Hardened CI/CD pipelines using Jenkins, SonarQube, Fortify SSC, and Contrast AST
• Integrated SAP BTP/Kyma and ServiceNow GRC

• Installation, maintenance and regular upgrade of the DB systems with 19x
• Use of OPatch and RU 19.27 on RHEL 8x, SLES 15.x and Windows
• DBA for DACH and European customers in production and last test environments (e.g. Konrad Adenauer) as well as others in CDB
• Processes via Confluence
• Support in operations for customers SR via Metalink

• Lead Architecture in an interdisciplinary architecture team covering enterprise, solution, NOOTS, cloud and security architecture as well as regulatory and European interoperability requirements.

• Public / Government

• Development and management of target architectures, principles, standards and technical guardrails; assessment of Security-by-Design, IAM, data protection and interface/integration architectures; architecture reviews, security assessments, risk analyses, and preparation of decision records, target visions, roadmaps and decision papers. Architectural knowledge and consideration of relevant AD-NOOTS requirements, particularly for IAM, authorization, secure integration and interoperability.

• Technologies / Methods: Enterprise Architecture, Solution Architecture, Security Architecture, Cloud Architecture, NOOTS / EU-OOTS, IAM, Authorization, Security-by-Design, API/Integration Architecture, Interoperability, Risk Analysis, Architecture Governance

• Security and integration requirements as well as technical decisions are structured in reliable architecture and decision artifacts.

AI Assistance and Target Vision for Partially Autonomous Energy Portfolio Management

Building an AI control layer directly on the up-to-date daily live portfolio of a large energy provider — not as an isolated pilot, but as an operational extension of the existing DB1 and portfolio management. The goal is the gradual development from assistance through monitoring/alerting to analysis agents with Human-in-the-Loop approvals, supplemented by a role-specific System of Engagement alongside the BI System of Record. At the same time, the business case, target vision and management pitch compared with static monthly reporting are being developed.

• AI control layer: Design and build on the existing live portfolio data product (several million contracts) — development stages assistance → monitoring/alerting → agents with Human-in-the-Loop approvals.
• LLM-supported data analysis: Semantic queries, SQL/tool integration and additional RAG components based on portfolio, plan-versus-actual and data quality data (Azure OpenAI, Snowflake), with drill-downs to individual contract level.
• Analysis agents: Multi-stage agents for variance and driver analyses of churn, price adjustments, volumes and procurement costs.
• Views concept: Role-specific interfaces for business units, management and C-level as a System of Engagement alongside the BI System of Record.
• Business case & pitch: Target vision and cost-benefit argumentation compared with static monthly reporting.
• LLM setup (privacy & security): Coordination with IT Security and Data Protection — EU region, data separation and approval processes.
• Agent architecture: Multi-stage agent pipelines (analysis → validation → summary) with documented data sources, tool calls, review steps and source references for each statement.
• Data foundation: Built on the up-to-date daily DB1 data product (Snowflake, dbt) — portfolio, plan-versus-actual and data quality metrics as the common basis for all AI analyses.
• Guardrails & evaluation: Evaluation and approval processes for LLM responses relating to management-relevant statements — test sets, metrics and human review.
• Prototyping & validation: Iterative validation of agent responses with the business unit — test question catalogue, feedback loops and response quality for each release.
• Roadmap & development stages: Detailed stages from assistance → monitoring/alerting → partially autonomous management, including transition criteria and governance for each stage.
• Integration: Integration into the existing BI and data landscape — BI remains the System of Record, while the AI layer provides interactive drill-down paths as the System of Engagement.
• Enablement: Enablement of business users — prompting guides, training and an operating model for ongoing use.
• Management: Coordination of business units, Data Engineering, IT Security and Data Protection.
• Change Management: Communication and expectation management with business units and management throughout the development stages.

Results:

• Built on an existing up-to-date daily data product with several million contracts
• Established an LLM setup coordinated with Data Protection and IT Security in the EU region, including data separation and approvals
• Defined three development stages through to partially autonomous management
• Designed role-specific views for business units, management and C-level
• Developed the business case and management pitch for the development stages
• Established an iterative response-quality validation process with the business unit
• Designed the operating model for assistance operations and initiated validation

Stack: Azure OpenAI, Azure AI Foundry, Snowflake, dbt, React, TypeScript, Entra ID, RAG, Agentic AI, analysis agents, Human-in-the-Loop, Prompt Engineering, LLM Evaluation, LLMOps, GDPR / EU region, Azure DevOps, Python, SQL, Change Management

• Plan & Prepare (Site Design & Readiness): Inventory & Design: Dell PowerEdge R-Series, Aruba Switches (L2/L3), Notebooks/Peripherals; Serial Numbers/Asset Tags, IPv4/IPv6 Addressing, VLAN/DHCP/DNS Plan

• Runbooks/MOPs: Site Rollout Runbook, Backout Strategy (<15–30 min), Risk Register, Communication Matrix; Approvals via CAB/Change

• Images/Packages: Golden Image (Win10/11), Driver Packs, BIOS/UEFI Baseline; O365/Teams/OneDrive-KFM; BitLocker Policies; MECM/SCCM, Intune/Autopilot, MDT/WinPE

• Logistics: Shipping/Customs Clearance, RMA/DOA, On-Site Spares; Tools (Barcode Scanners, Label Printers), "Go-Bag" (Cables, SFPs, Console Cables)

• Deliver (On-Site Implementation): Endpoints: Swap & Migration (USMT/OneDrive KFM), Peripherals (ATB/BT Printers, Scanners, Boarding Gate HW); Domain Join, Compliance Checks, O365 Activation, Printers/Queues, Network Drives

• Acceptance: Functional Tests for DCS/CUTE/CUPPS/CUSS Stations, Ticketing/Check-in Workflows, Boarding Gates

• Servers (R-Series): Rack & Stack, Cabling (PDU Redundancy, Fiber/Copper), Labeling/Nomenclature; Firmware/RAID (PERC), Lifecycle Controller, iDRAC Network; Windows Server 2022/2025 + CIS/BSI Hardening; Agents (Backup/AV/EDR/Monitoring), Time Service/NTP Auth, Syslog/SNMPv3

• Network (Aruba): VLANs, LACP Trunks, MSTP Root; Portfast + BPDU-Guard at Edge; QoS (EF/AF); Dual-Stack (v4/v6), DHCP Relay. NAC/802.1X with ClearPass/Radius/TACACS+, Roles + MAB Fallback; Guest Isolation, ACLs (Guest→Mgmt deny). Telemetry: sFlow, SNMPv3, Syslog→SIEM; LLDP→Inventory/CMDB

• Airport-Specific: CUTE/CUPPS/CUSS Terminals; DCS/Amadeus/SITA Connectivity; FIDS (read-only); Bag Tag/Boarding Pass Printing; Changes During Off-Peak/Night Windows

• Stabilize (Hypercare): First-Day Support, KPI Tracking (Login Times, Ticket Volume, Error Classes), QoS Fine-Tuning

• Troubleshooting: Wireshark/iperf, Event Logs, Switch Counters, sFlow Flows; Fast Incident Handling as SPOC

• Knowledge Transfer: Short Training Sessions for Station Teams, Mini-Runbooks (Incident/Recovery)

• Close (Documentation & Handover): Documentation & CMDB: Final Configs (Switch/Server), Topology/Patch Plans, IP Tables, Serial Number/Asset Lists, Before/After Photos

• Acceptance & Sign-off: UAT Protocols, Functional Evidence (Use Cases), Return/Reuse of Old Hardware

• Lessons Learned: Risks, Standard Packages, Driver Freeze, "Known Issues"

• Interfaces/Communication: Station IT, Airport IT, SOC/NOC, Ground Ops/Ramp/Check-in, Providers (SITA/Amadeus). ITSM: ServiceNow (Inc/Req/Change/KB), Handover to BAU

• Cisco SDA LAN network
• Transition and transformation

• Analysis and optimization of the VMware environment for operation in a critical infrastructure environment
• Planning and execution of updates for the VMware and hardware environment in a critical infrastructure environment
• Deployment of Skyline Health Diagnostics
• Review of existing documentation
• Training and onboarding of new internal staff
• Support for migration and upgrade projects
• Preparation for moving scripts in the virtualization environment to GitLab
• Ticket handling with ServiceNow

• Analysis and assessment of government business processes with regard to migration capability
• Definition and preparation of the technical framework conditions in the new master data center
• Development and optimization of migration procedures and processes
• Transformation of existing solutions to new technical standards (technology refresh)
• Coordination of architecture and technical cross-cutting topics

• About 800 different server VMs, operation and lifecycle/asset management of about 40 ESXi hosts (Lenovo)
• Upgrade of all clusters to ESXi/VCSA 7.0U3 and 8. Planning patch management for all hosts
• Cleaning up the AD – many different domains that all needed to be migrated into the main environment. Planning/execution
• Veeam – check the configuration and migrate to a newer, partly virtual infrastructure to make the setup leaner and faster
• VMware – upgrades/updates, general maintenance
• Proxmox POC – evaluate if an alternative to VMware
• Documentation for Veeam/VMware/storage
• Implementation of the uniflow cloud solution
• NetApp migration to new storage, CIFS maintenance and administration of SVMs

• Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
• Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
• Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
• Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
• Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)

• Provision and operation of Oracle databases within the agreed service levels.
• Storage administration using Oracle ASM feature.
• Oracle Grid Infrastructure and database patching.
• Ensure SLAs and operational KPIs are met, coordinating internal and external support during major incidents.
• Create and exercise reliable backup strategies and periodic restorations.
• Plan and execute migrations from non-multitenant to multitenant architectures and consolidate databases into multiple containers.
• Configure Oracle database authentication with Kerberos.
• Deploy and administer Azure Database for PostgreSQL (Flexible Server) including configuration, scaling, and high availability setup.
• Migrate on-premises PostgreSQL databases to Azure using pg_dump/pg_restore, pg_dumpall, and Azure Database Migration Service.
• Configure backup and point-in-time restore policies for compliance and recovery objectives.
• Implement monitoring and alerting with Azure Monitor, Log Analytics, and custom dashboards.
• Perform query performance tuning by analyzing execution plans, optimizing indexes, and adjusting parameters (work_mem, shared_buffers, autovacuum).
• Collaborate with developers to implement schema design improvements, partitioning, and connection pooling (PgBouncer) for scalability.