KubeStaff • AI Platform & Agent Architecture

+AI-ready cloud platforms and agent-based architectures for real-world production systems.

We help companies design and deliver AI-ready cloud infrastructure (Kubernetes, GitOps, IaC) and agent-based architectures that improve existing products, enable safe rollout, and accelerate delivery.

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Kubernetes • GitOps • Infrastructure as Code Large Language Models (LLM) /Agent architectures Computer vision platforms (CVAT) Cloud migration Enterprise SSO / OIDC

AI Agent Architecture & Design

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Design of agent-based systems that integrate safely into existing production environments.

Boundaries & responsibilities
Safety, governance, observability
Rollout strategy & reference implementation

AI Platform & Infrastructure Delivery

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Kubernetes-based platforms for AI workloads: secure, operable, and documented.

IaC + GitOps delivery
CI/CD patterns for services/models
Runbooks & handover to teams

Product AI Enablement

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Identify AI use cases that move metrics and build an actionable roadmap.

Opportunity mapping
MVP scope & architecture
Risk, cost, compliance considerations

How engagements typically work

Discovery
Architecture
Delivery
Handover

1) Discovery & target outcomes

Short, focused workshops to clarify constraints, stakeholders, and success metrics.

2) Architecture & plan

Concrete architecture, rollout plan, and a delivery backlog with milestones.

3) Delivery

Implementation with IaC/GitOps, tests, observability, and security hardening.

4) Handover

Documentation, runbooks, onboarding sessions, and optional retainer support.

Engagements

Selected client engagements

AI Customer Support & RAG Platform for WineSpot.ai

Context
- AI-powered customer support platform for wineries and DTC wine brands
- Focus on wine club support, order management, and customer communication
- Customer-facing AI agent delivering instant, 24/7 responses
Challenges
- High volume of repetitive customer inquiries during wine club, shipment, and event cycles
- Fragmented communication channels (email, chat, SMS, voice)
- Delivering accurate, context-aware responses based on consolidated, customer-specific business information sourced from websites, documents, policies, product catalogs, events, memberships, CRM systems, and other internal resource management platforms
- Keeping customer-facing knowledge continuously up to date as content changes
- Meeting scalability, reliability, and observability requirements in a cloud-native environment
Solution
- Design and implementation of a microservices-based AI platform deployed on Azure Kubernetes Service (AKS)
- Retrieval-augmented generation (RAG) pipelines with near real-time index updates using website crawlers, REST APIs, and webhook-based ingestion
- Centralized, self-hosted prompt management enabling versioning, governance, and controlled rollout of prompt changes
- Azure-managed databases and cloud-native services for persistence and scalability
- Dynamic traffic routing, autoscaling, and replication via Kubernetes ingress controllers
- End-to-end observability implemented using Prometheus, Grafana, Datadog, and OpenSearch
Outcome
- Production-ready AI customer support platform serving real winery use cases
- Near real-time, accurate responses powered by continuously updated RAG indexes
- Reduced operational burden on winery staff during peak support periods
- Stable, scalable cloud-native operations on Azure Kubernetes infrastructure
- Reusable platform foundation for additional AI-driven CX features

Computer Vision Platform for Automated Checkout

Context
- Germany-based enterprise grocer
- Automated checkout vision platform
- Strict EU data residency + compliance
Challenges
- Deliver from scratch on EU cloud
- Opensource CVAT with enterprise extensions
- SSO + partner access controls
- Scalable, production-grade ops
Solution
- Kubernetes CV platform centered on CVAT
- Terraform + ArgoCD GitOps delivery
- Enterprise auth with source code patching + secure storage
- Automated CI/CD + hardened ops
Outcome
- Hosted within EU with STACKIT Cloud
- Production-ready CV platform
- Stable, compliant operations at scale
- Cross-team collaboration enabled
- Foundation for ongoing AI initiatives

Enterprise LLM Proxy Platform at Mercedes-Benz

Context
- Global automotive enterprise
- Internal AI platforms supporting multiple business domains
- LLM-based capabilities with stong SLA including in-car voice assistant use cases
Challenges
- Standardized and secure access to multiple LLM providers across teams
- Enterprise authentication, authorization, and token based quota management
- Governance, observability, and cost control for LLM usage
- Integration with existing corporate and vehicle-related systems
Solution
- Design and implementation of LLM application gateways on Kubernetes
- Integration of multiple LLM providers (OpenAI, Gemini, Anthropic, Azure AI) with a standard API Gateway and Ingress Controller components
- Smooth proxying of Streaming APIs, content filtering, and policy-based access control
- Platform foundations to support LLM-driven voice assistant scenarios
- GitOps-driven infrastructure with Terraform, Helm, and CI/CD pipelines based on Github Actions
- Traffic management, dynamic load-balancing, rate limiting, and custom proxy extensions for token consumption calculation
- FinOps tools for billing and accounting based on token consumption
Outcome
- Secure and governed Proxy Layer to access managed and self-hosted lanbuage models for internal teams and end-users of Mercedes Benz cars
- Enablement of LLM-based features, including voice assistant capabilities
- Clear usage visibility and FinOps-aware consumption tracking
- Reusable, production-ready platform for future AI initiatives

Cloud-Native Platform Engineering at Deutsche Telekom

Context
- Global telecommunications enterprise (Deutsche Telekom)
- Software-defined networking (SDN) platforms for access networks
- VOLTHA-based open networking stack for broadband infrastructure
- Highly distributed, telco-grade production environments
Challenges
- Operating and evolving SDN control-plane components at scale
- Integrating VOLTHA and open networking components into production systems
- Ensuring high availability and fault tolerance in access network platforms
- Standardizing deployment, upgrades, and operations across environments
Solution
- Design and development of cloud-native micro-services in Go
- Kubernetes-based deployment and operational patterns for network components
- Automation of build, deployment, and upgrade workflows
- Implementation of observability, health checks, and resilience mechanisms
- Close collaboration with network, platform, and operations teams
Outcome
- Pioneering, experimental production deployment of OpenCORD and VOLTHA-based open-source components, establishing a first-of-its-kind foundation for end-customer internet access services
- Improved stability and operability of software-based access network services
- Consistent deployment and upgrade processes across environments
- Robust platform foundations for ongoing network modernization initiatives

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