You can now monitor and control your usage and associated cost for Amazon Redshift Spectrum and Concurrency Scaling features. Being able to open our production Redshift cluster for querying by many applications is exactly what we were looking for. With Concurrency Scaling, Amazon Redshift makes it easy for us to efficiently add query capacity and enables us to deliver a consistently great experience to all of our customers, at any concurrent query load. aws.redshift.concurrency_scaling_seconds (gauge) The number of seconds used by concurrency scaling clusters that have active query processing activity. Concurrency scaling usage – The usage of concurrency scaling clusters that have active query processing activity. Data lake integration. For clusters, this metric represents an aggregation of all nodes (leader and compute) CPU utilization values. Concurrency Scaling adds to Amazon Redshift’s scalability and flexibility by transparently adding and removing capacity to handle unpredictable workloads from thousands of concurrent users. Bloomberg the Company & Its Products The Company & its Products Bloomberg Terminal Demo Request Bloomberg Anywhere Remote Login Bloomberg Anywhere Login Bloomberg Customer Support Customer Support In the case of Redshift Spectrum, in addition to compute fees, you pay for the amount of data scanned in S3. Upon adding load onto the Redshift … Analytics Overview 1. Concurrency scaling has always been a feature of Snowflake’s platform, but Redshift has recently introduced their own concurrency scaling feature, along with machine learning, to compete with Snowflake’s throughput capabilities. Agilisium Consulting, an AWS Advanced Consulting Partner with the Amazon Redshift Service Delivery designation, is excited to provide an early look at Amazon Redshift’s ra3.4xlarge instance type (RA3).. WE have set up Redshift and are trying to implement WorkLoadManagement. With more than 200 new features and enhancements in the last two years, Amazon Redshift delivering an average of 10x faster query times and over 10,000 customers (the clear cloud leader for data AWS Announces General Availability of Concurrency Scaling for Amazon Redshift | The ChannelPro Network ad hoc queries from reporting tools) You can have up to 8 queues with a total of up to 50 slots. The remaining 13% have bursts in concurrent … This feature is called “Concurrency Scaling” and it allows the scaling of our Amazon Redshift cluster to run a high number of queries concurrently. AWS also shared that Amazon Redshift has more than 10,000 customers, making it the most popular cloud data warehouse. aws.redshift.concurrency_scaling_seconds (gauge) The number of seconds used by concurrency scaling clusters that have active query processing activity. Write operations continue as normal on your main cluster. Maintenance and Monitoring – This tab recommends reducing the Cost of Underutilized Amazon Redshift Cluster and setting Alarms, enabling Audit log, schedule maintenance window, and setting usage limits of the cluster. Due to the performance improvements discussed above, 87% of current customers don't have any significant queue wait times and don't need concurrency beyond what their main cluster provides. Consequently, this will help AWS gain further traction among … We enabled it soon after AWS added the Usage Limits feature to Amazon Redshift, which allowed us to use concurrency scaling while controlling its costs. Using Concurrency Scaling This feature can be enabled for an existing cluster in minutes! I hope this helps, -Kurt Re: Questions about Concurrency Scaling Posted by: joeharris76 … Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence tools. 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