Case study · limited disclosure
Cloud migration and observability
A production migration from multiple backend services toward a clearer AWS-based foundation with stronger operational visibility.
Recreated visual for portfolio presentation. Not the original production interface.
Disclosure: Contribution scope is sourced from Jairo's approved 2026 resume. Architecture remains generalized and no private schema, credentials, or topology are shown.
Product context
Filament operates a privacy-first contextual advertising platform focused on YouTube inventory and workflows connected with Google Ads and DV360. Core responsibilities were distributed across multiple backend-as-a-service providers.
Responsibility
From March through May 2026, Jairo led the migration of core infrastructure toward AWS and redesigned and reorganized the PostgreSQL data layer. He also led integrations with Sentry, Datadog, Google Analytics, and DV360.
Engineering challenge
Infrastructure and data responsibilities had to move while the production product remained understandable and operable. Application, data, integration, and provider failures can look similar from the outside, so the migration needed better operational signals as well as a clearer cloud foundation.
Delivered work
- Migration of core responsibilities from multiple backend-as-a-service providers to AWS.
- PostgreSQL data-layer redesign and reorganization.
- Sentry and Datadog integrations for error reporting, monitoring, and operational visibility.
- Google Analytics and DV360 integrations supporting product analytics and campaign workflows.
- Security-monitoring improvements incorporated into the migration work.
Result
The engagement established a clearer AWS direction and stronger visibility across production behavior, security monitoring, analytics, and advertising-platform integrations. The work demonstrates that a migration is only useful when the resulting system can be understood and operated.
What this demonstrates
Cloud delivery is more than moving infrastructure. Data boundaries, monitoring, security, analytics, and the needs of engineering and business operators have to evolve together.