
During June 2025, contributed to the keboola/keboola-as-code repository by developing a Bash-based cleanup script targeting Kubernetes resources within the buffer namespace. The solution incorporated cross-cloud authentication for AWS and Azure, enabling secure listing and deletion of resources, including PersistentVolumes, with a dry-run mode for safe execution. The work addressed both feature delivery and risk management, as the script and related functionality were later rolled back due to scope and risk considerations. Throughout the process, improvements were made to resource listing readability and Azure login reliability, demonstrating proficiency in cloud infrastructure, DevOps practices, and shell scripting for robust operational workflows.
June 2025 monthly summary focusing on keboola/keboola-as-code workstream for buffer namespace cleanup feature and its rollback. Key work included building a Bash-based cleanup script for Kubernetes resources in the 'buffer' namespace with cross-cloud authentication (AWS/Azure), listing resources for deletion, deleting the buffer namespace and associated PersistentVolumes, and providing a dry-run option for safe execution. The feature was partially rolled back due to scope/risks, removing the script and associated cleanup functionality. Notable Azure login fix during implementation. This period also included improvements to resource listing readability and overall stability improvements through iterative commits.
June 2025 monthly summary focusing on keboola/keboola-as-code workstream for buffer namespace cleanup feature and its rollback. Key work included building a Bash-based cleanup script for Kubernetes resources in the 'buffer' namespace with cross-cloud authentication (AWS/Azure), listing resources for deletion, deleting the buffer namespace and associated PersistentVolumes, and providing a dry-run option for safe execution. The feature was partially rolled back due to scope/risks, removing the script and associated cleanup functionality. Notable Azure login fix during implementation. This period also included improvements to resource listing readability and overall stability improvements through iterative commits.

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