Elastic auto-scaling allows MongoDB Atlas to grow or shrink your cluster to automatically adjust its cluster tier, storage capacity, or both in response to cluster usage. This reduces the manual maintenance required for your cluster. By scaling down during slow periods, you can also save money. Here's a quick overview of the types of Elastic Auto-Scaling: - Cluster auto-scaling: When auto-scaling is enabled, Atlas automatically scales your cluster tier, storage capacity, or both in response to cluster usage. Consider enabling auto-scaling to allow your cluster to adapt to your current workload and reduce the need to make manual optimizations.
- Cluster storage scaling automatically increases your cluster storage capacity when 90% of disk capacity is used. This setting is on by default to help ensure that your cluster can always support sudden influxes of data.
- Cluster tier scaling automatically scales your cluster tier up or down in response to various cluster metrics. You must manually opt-in to cluster tier scaling.
|
Think Big, Go Far, The MongoDB Team P.S. M30 and higher clusters are recommended for production environments. You can use M10 and M20 clusters as production environments for low-traffic applications, but these tiers are recommended for development environments. |
0 Comments