
Hector upgraded the FilmDrop Analytics infrastructure by updating the EKS Kubernetes cluster and autoscaler to version 1.32, focusing on improved security, compatibility, and workload performance. Working within the Element84/filmdrop-aws-tf-modules repository, Hector applied these changes using Terraform and HCL, ensuring infrastructure-as-code traceability and maintainability. The upgrade addressed the need for more reliable analytics workloads and enhanced auto-scaling behavior, directly supporting the platform’s operational stability. While the work spanned a single feature over one month, it demonstrated depth in cloud engineering and DevOps practices, emphasizing careful version management and secure, scalable deployment of Kubernetes-based analytics environments.

March 2025 monthly summary: Infrastructure upgrade for FilmDrop Analytics via EKS Kubernetes and autoscaler upgrade. Completed upgrade to Kubernetes 1.32 and autoscaler 1.32.0 in Element84/filmdrop-aws-tf-modules to improve security, compatibility, and performance of analytics workloads. Change implemented through Terraform module changes; commit c7906935ca030bf70543983cbca776d56306d33b.
March 2025 monthly summary: Infrastructure upgrade for FilmDrop Analytics via EKS Kubernetes and autoscaler upgrade. Completed upgrade to Kubernetes 1.32 and autoscaler 1.32.0 in Element84/filmdrop-aws-tf-modules to improve security, compatibility, and performance of analytics workloads. Change implemented through Terraform module changes; commit c7906935ca030bf70543983cbca776d56306d33b.
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