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. Craftech supported it through an intermittent but recurring three-year relationship (Mar 2022 – Mar 2025), operating a complex data platform on AWS and GCP with pipeline orchestration and per-client isolation.

BPM / Data Analytics (ML & Big Data) Mar 2022 – Mar 2025 (intermittent relationship, closed with offboarding)
DataModernizacion

Challenge

HAMS needed a scalable, multi-environment data platform with data/ML pipeline orchestration, compute efficiency and isolation for each of its clients (LEK, DEA, UNO, AMP, IHC, among others).

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 EKS + Karpenter + Airflow for three years. Offboarding was orderly (formal letter in Mar-2025, final activity documenting resources and handing off modules); the prior re-engagement history is a positive signal for an eventual recontact.

Stack & technologies

AWSGCPAWS LambdaAmazon EKSKarpenterAmazon MWAAApache AirflowCircleciGrafana

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