Azure Kubernetes Service (AKS)
Container Orchestration for AI and Data Workloads
Wat wij doen
Azure Kubernetes Service is Microsoft's managed Kubernetes offering — taking the operational burden of cluster management off your team. We design and implement AKS environments for AI inference serving, data processing workloads, and microservices — production-ready, scalable, and secure.
Geschikt voor
Engineering teams running containerised AI/data workloads who need production-grade Kubernetes without managing the control plane
Veelvoorkomende toepassingen
AI Model Serving at Scale
Deploy ML models and LLM inference endpoints on AKS with GPU node pools, horizontal pod autoscaling, and latency-based routing.
Event-Driven Data Processing
Run Spark or Flink operators on AKS connected to Kafka and Event Hubs for stateful stream processing workloads.
Microservices Architecture
Decompose monolithic applications into containerised microservices deployed on AKS with Istio service mesh.
Private LLM Hosting
Self-host open-source LLMs (Mistral, LLaMA) on AKS GPU nodes for data-sovereign AI without Azure OpenAI.
GitOps with FluxCD/ArgoCD
Implement GitOps-based continuous deployment for all AKS workloads — config changes tracked in Git, applied automatically.
Multi-Tenant Workload Isolation
Implement namespace-based multi-tenancy with network policies, RBAC, and pod security standards for data isolation.
Hoe wij werken
Workload Analysis
Understand your compute, GPU, memory, and isolation requirements to design the right AKS cluster topology.
Cluster Provisioning
Deploy AKS via Terraform or Bicep with private API server, managed identity, AAD integration, and node autoscaler.
Workload Deployment
Package applications as Helm charts, configure ingress, HPA, and resource limits. Implement GitOps deployment pipeline.
Security & Handover
Run security benchmarks (CIS), set up Prometheus/Grafana monitoring, and train your team on day-2 operations.
Wat u ontvangt
- AKS cluster deployed via IaC with private networking and AAD integration
- Helm charts for all agreed workloads
- GitOps pipeline (FluxCD or ArgoCD)
- Monitoring stack: Prometheus, Grafana, and Azure Monitor integration
- Security benchmark report (CIS Kubernetes)
- Runbook and source code ownership
Klaar om te beginnen?
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