Case Study: Appen achieves 99.99% uptime and 10%+ lower infrastructure costs with Provectus

Appen scales to 99.99% uptime with Provectus

Appen, a global AI training data company, faced challenges scaling its operations due to a monolithic application architecture that slowed deployment and created reliability issues. To support its enterprise clients building AI at scale in a rapidly growing market, Appen partnered with Provectus to modernize its platform on AWS, aiming to accelerate delivery, standardize engineering processes, and enable independent scaling of components.

Provectus implemented a solution by decomposing the monolith into over 50 independent, containerized microservices using a strangler pattern to ensure zero downtime. The results included achieving 99.99% platform uptime, reducing infrastructure costs by over 10%, and cutting the time to deploy new services from weeks to a single day. This transformation by Provectus provided Appen with a scalable and reliable architecture to meet global demand.

Appen