Case Study: Change.org achieves rapid feature delivery and scalable, resilient infrastructure with Amazon Web Services

A Amazon Web Services Case Study

Preview of the Change.org Case Study

Change.org - Customer Case Study

Change.org, the world’s largest social-change platform with more than 130 million users across 196 countries, faced growing pains as it expanded internationally. The team needed greater elasticity to support diverse machine-learning workloads, faster iteration for its data science group, and a more reliable way to handle traffic spikes. A homegrown CI system was slowing releases—builds took up to an hour—and required significant engineering maintenance, while scaling servers for sudden traffic bursts was manual and slow.

Change.org moved key workloads to AWS (EC2, S3, Redshift, Data Pipeline) and adopted Solano CI, a hosted CI service running on AWS. This enabled on-demand compute for varied ML topologies, automated scaling for traffic surges, and freed engineers from CI maintenance. Results included reducing average build time from one hour to 15 minutes, faster feature rollout and defect detection, and improved global redundancy and resiliency as the company completes its AWS migration.


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Change.org

Vijay Ramesh

Lead Data Engineer


Amazon Web Services

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