05case study
AKS Microservices Platform (TradrLab)
April 2026 - June 2026Website
80%commit-to-production lead time cut
Overview
Reduced commit-to-production lead time 80% for an AI algorithmic-trading platform by orchestrating a React/C#/Python microservices stack on Azure Kubernetes Service with Helm templates and Azure Pipelines. Engineered horizontal scalability with HPA autoscaling and namespace-scoped RBAC, configured Kubernetes CronJobs for Apache Arrow Flight workloads, and deployed cache-busted Docker builds via Azure Container Registry.
Stack map
The declared stack, sorted into the layers these tools belong to. It assembles as you scroll.
Deliverybuild & release02
HelmAzure Pipelines
Computeruntime07
Azure Kubernetes ServiceAzure Container RegistryHPA AutoscalingKubernetes RBACReactC#Python
Platformcloud01
Apache Arrow Flight