ASAysha Shafiq
PRODUCTION ENGINEERING · SELECTED 1 OF 100

Meta Production Engineering Fellowship

Selected as 1 of 100 fellows for Meta's 12-week production-engineering curriculum with Major League Hacking, where I learned directly from Meta engineers and applied those lessons to real services. I kept a Flask/MySQL service stable on a memory-constrained VPS, shipped a second Go/SQLite service on its own host, and automated the release and monitoring path around both.

1 of 100 fellows selected
80% faster incident detection
Deploys cut from hours to minutes
Two production services on constrained hosts

Learning production the hard way

A selective 12-week fellowship, one of 100 seats nationwide, meant getting hands-on with the machinery beneath reliable services instead of reading about it. I provisioned and ran real Linux hosts on CentOS, not a sandboxed tutorial environment, and kept them stable under real memory pressure.

Making every deploy earn its way to production

I put NGINX in front of the service for TLS termination, routing, and rate limiting, then replaced manual releases with GitHub Actions gated on tests, security scans, and health checks.

Seeing problems before they become outages

I set up monitoring with Prometheus, cAdvisor, and Grafana over host, container, and network metrics, cutting the time it took to detect a problem by 80%.

Shipping a second service alongside the fellowship's

Alongside the fellowship's Flask/MySQL service, I built and shipped a Go/SQLite terminal app that anyone can reach over SSH, running as a self-healing Docker Compose service on its own AWS EC2 host.

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