Success Story

Multi-environment data platform on EKS, Karpenter and Airflow (MWAA) for HAMS

HAMS is a German BPM and data-analytics (ML & Big Data) company. Over a recurring three-year relationship, Craftech operated a complex data platform on AWS and GCP, with pipeline orchestration and per-client isolation.

BPM / Data Analytics (ML & Big Data) Recurring three-year engagement (2022–2025)
DataModernization

Challenge

HAMS needed a scalable, multi-environment data platform with data/ML pipeline orchestration, compute efficiency and isolation for each of its clients.

Solution

Craftech operated an EKS-based architecture with Karpenter for efficient node autoscaling, MWAA/Airflow for pipeline orchestration, Lambda and CI/CD with CircleCI, and observability with Grafana, in a multi-environment scheme segmented per client and spanning AWS and GCP.

Results

HAMS had a scalable, multi-client data platform on Amazon EKS, Karpenter and Airflow for three years, with efficient autoscaling, orchestrated pipelines and per-client isolation.

Stack & technologies

AWSGCPAWS LambdaAmazon EKSKarpenterAmazon MWAAApache AirflowCircleciGrafana

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