Build your production workload on Atlas

Which MongoDB Atlas cluster tier is right for your application depends on your workload intensity. M10 and M20 tiers are ideal for low-traffic applications or pre-production environments. For performance-critical workloads, we recommend M30 or higher tiers, which provide dedicated vCPUs. For specific configuration advice, use the AI Cluster Assistant in the Atlas UI to analyze your requirements and suggest the optimal tier.

The cost of a MongoDB Atlas Dedicated cluster is determined by the selected cluster tier, cloud provider, and region. Additional factors include total storage, data transfer (egress), and optional services like continuous backups,dedicated search nodes, or support subscriptions. Using auto-scaling helps manage these costs by aligning resource consumption with your actual application traffic.

You can optimize costs for your production clusters by implementing auto-scaling to adjust cluster tiers and storage based on real-time demand.

To minimize data transfer costs, design efficient schemas and use strategic indexing to improve query performance while minimizing resource consumption, and regularly review clusters, databases, and collections to eliminate duplication, outdated data, and unused sample datasets.

For long-term data management, use Atlas Online Archive to move infrequently accessed data to lower-cost storage tiers. You can also monitor spending through the Billing Cost Explorer to identify and eliminate unused resources.