
Santiago Lertora developed a MariaDB point-in-time recovery solution for the wal-g/wal-g repository, integrating WAL-G with MariaDB in Dockerized environments. He designed and implemented Docker images, entrypoint scripts, and binlog replay helpers, enabling reliable backup and restore workflows for containerized MariaDB deployments. Using Dockerfile, Shell scripting, and YAML for Kubernetes manifests, Santiago ensured reproducible deployments and operational readiness. He contributed end-to-end integration tests to validate the recovery process, addressing data resilience and reducing recovery time. The work demonstrated depth in backup and recovery, database management, and container orchestration, providing a robust foundation for MariaDB users relying on WAL-G.
February 2026 (2026-02): Delivered MariaDB WAL-G integration for point-in-time recovery using Docker, enhancing backup/restore capabilities for containerized MariaDB deployments. No major bugs fixed this month. Overall impact: improved data resilience, faster recovery, and reproducible deployment via Docker and Kubernetes. Technologies/skills demonstrated: Docker, Kubernetes, MariaDB PITR, WAL-G integration, scripting, end-to-end testing, and open-source collaboration.
February 2026 (2026-02): Delivered MariaDB WAL-G integration for point-in-time recovery using Docker, enhancing backup/restore capabilities for containerized MariaDB deployments. No major bugs fixed this month. Overall impact: improved data resilience, faster recovery, and reproducible deployment via Docker and Kubernetes. Technologies/skills demonstrated: Docker, Kubernetes, MariaDB PITR, WAL-G integration, scripting, end-to-end testing, and open-source collaboration.

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