To monitor your Redshift database and query performance, let’s add Amazon Redshift Console to our monitoring toolkit. Monitor Redshift Database Query Performance Let’s see how your team can monitor Redshift database query performance next. However, these CloudWatch metrics only focus on Redshift cluster infrastructure-not on database and query performance. The volume of metrics is manageable, unlike that of on-premise metrics. For performance, CloudWatch keeps track of various storage, network, and server compute metrics, like CPU and disk utilization, storage read/write IOPS, network throughputs, overall health status, and so on. Just think of a cluster node as a server in the Redshift cluster. These reports can even help you to justify your team’s Redshift costs to C-level executives.ĬloudWatch monitors Redshift performance and availability metrics on a cluster and node level. It can generate reports about performance and availability, as well as charts that you can use to gain better insights and spot any trends about the health of your Redshift operations. Think of CloudWatch as your eyes and ears in the cloud. CloudWatch collects and analyzes Redshift performance metrics and can send performance and availability alerts for your team to investigate. The first tool in your Redshift monitoring toolkit is AWS CloudWatch. AWS Redshift Infrastructure Availability and Performance Monitoring Does monitoring have to be that complicated in the cloud? Let’s review the key monitoring options you can choose from, starting with availability and performance monitoring. These metrics represent a wide range of technology stacks and sometimes multiple monitoring systems. With the latter, your team must keep track of a lot of monitoring metrics all the time. I find monitoring somewhat simplified in the cloud compared to on-prem data warehouse monitoring. Moving on from this high-level overview of Redshift, let’s now turn our attention to Redshift monitoring. This means your team can use their SQL skills to manage and query data with relative ease. Redshift is based on PostgreSQL and works very much like any other relational database system. This is why Redshift is one of the fastest-growing big data products in the Amazon cloud. Redshift supports a wide range of data sources and a whole lot of business intelligence and reporting applications. This performance is impressive, thanks to Redshift’s columnar storage and massively parallel processing (MPP) architecture. It stores and analyzes large amounts of data blazingly fast-on a petabyte scale. AWS Redshift is part of Amazon’s big data ecosystem and is a fully managed data warehouse platform.
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