This white paper explains how MongoDB Atlas scales database resources as application workloads and traffic change. It compares vertical scaling, which increases CPU, RAM, storage, and capacity on a single machine, with horizontal scaling, which distributes data and workload across multiple servers through sharding. Atlas supports proactive and reactive scaling, cluster auto-scaling, storage scaling, and horizontal expansion, helping teams respond to both predictable events and unexpected demand. Global Clusters extend scaling across geographic regions while supporting low-latency access, data residency, and local regulatory requirements. The paper also covers serverless instances, which automatically adjust compute and storage and use consumption-based pricing. Together, auto-scaling, shar

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