Iago Alonso

Operate and improve a large-scale production platform spanning Kubernetes environments and hundreds of on-premises systems.

• Design, deploy, and maintain production infrastructure, distributed databases, and supporting platform services.
• Build infrastructure automation and deployment workflows using Ansible, Terraform, Helm, and Argo CD.
• Contribute to the reliability, performance, and capacity planning of high-throughput production systems.
• Develop monitoring, alerting, and operational tooling to improve observability and incident response.

Worked across infrastructure and developer experience, introducing automation, engineering standards, and CI/CD workflows to improve deployment reliability and developer productivity.

• Built an automated per-branch Odoo instance manager with client- and server-side tooling, providing developers with isolated application environments connected to cloned production databases and file storage.
• Developed internal pipelines, tooling, and scripts that reduced repetitive work, improved maintainability, and enabled more frequent production deployments with fewer incidents.
• Managed the on-premises infrastructure of the company’s largest client and subsequently migrated it to Google Cloud Platform.
• Managed infrastructure for additional clients hosted on Hetzner.
• Maintained infrastructure security, backup and recovery processes, and production rollback procedures.
• Migrated the company’s internal services to Google Workspace.

Maintained customized Odoo installations and developed client-specific modules, integrations, and backend functionality.

• Migrated Enterprise and Community installations from legacy Odoo releases to supported versions.
• Performed production deployments, routine maintenance, and urgent hotfixes.
• Diagnosed application and data issues across customized client environments.

Identify the provider behind an IP address

A web service that checks IPv4 and IPv6 addresses against network ranges published by supported cloud, hosting, and network providers.

It maintains a searchable provider catalog, updates its data through scheduled ingestion, and includes automated test coverage.

Compare entire days across multiple time zones

An open-source command-line tool that displays side-by-side, full-day comparisons across multiple time zones, making it easier to identify overlapping working hours and coordinate across regions.

Available through PyPI or as a Docker container.