This whitepaper is for historical reference only. Some content might be outdated and some links might not be available.

# Operations
<a name="operations"></a>

 As a managed service, Amazon Redshift completely automates many operational tasks, including: 
+  **Cluster Performance** — Amazon Redshift performs [Auto ANALYZE](https://docs.aws.amazon.com/redshift/latest/dg/r_ANALYZE.html) to maintain accurate table statistics. It also performs [Auto VACUUM](https://docs.aws.amazon.com/redshift/latest/dg/r_VACUUM_command.html) to ensure that the database storage is efficient and deleted data blocks are reclaimed. 
+  **Cost Optimization** — Amazon Redshift enables you to pause and resume the clusters that need to be available only at a specific time, enabling you to suspend on-demand billing while the cluster is not being used. Pause and resume can also be automated using a schedule you define to match your operational needs. Cost controls can be defined on Amazon Redshift clusters to monitor and control your usage and associated cost for [Amazon Redshift Spectrum](https://docs.aws.amazon.com/redshift/latest/dg/c-getting-started-using-spectrum.html) and [Concurrency Scaling](https://docs.aws.amazon.com/redshift/latest/dg/concurrency-scaling.html) features.