AWS Redshift Query Tuning and Performance Optimization 

Sure, I will try create more such videos on Spectrum, RDS, Athena, Dynamo etc.

Thank you very much. Sure I will create a content for spectrum. The credit goes to AWS team for their so well organised documentation. I marely narrated what is there in their documentations.

Unfortunately I do not have the PPT with me anymore. However you will find the entire content from AWS Redshift User Guide

APIs are not the best protocol to handle large data. API payloads are generally very small. Please try JDBC or ODBC instead

@@chundrugopalakrishnachowda4228 The content presented here is everything from AWS Redshift database user guide (docs.aws.amazon.com/redshift/latest/dg/welcome.html). All I did here is to colate that 900+ page PDF document in few hours video. My response to the previous commenters question was the presentation is no longer with me, since it was built when I was with my previous organization.

As far as I know Leader Node failure is single point of failure in case of Redshift. I am sure AWS has measures to handle such failure. You can run cloudwatch metrics on Redshift to monitor the nodes ( docs.aws.amazon.com/redshift/latest/mgmt/metrics-listing.html ) and take corrective actions on failures.

Thank you sir

Yes, the leader node in Amazon Redshift can be considered a single point of failure. The leader node is responsible for managing client connections, query coordination, and metadata management in the Redshift cluster. If the leader node becomes unavailable due to a failure or any other reason, it can impact the cluster's overall availability and the ability to perform certain administrative tasks. However, it's important to note that the compute nodes in a Redshift cluster are separate from the leader node and continue to function independently. The compute nodes store and process the data, allowing queries to execute even if the leader node is unavailable. Queries that are already running will continue to execute, and new queries can be submitted to the compute nodes directly. In the event of a leader node failure, Amazon Redshift automatically provisions a new leader node to resume the cluster's normal operation. The new leader node assumes the responsibilities of the previous leader node, establishes client connections, and continues to coordinate query execution and cluster management. To minimize the impact of a leader node failure and enhance cluster availability, it is recommended to design applications with appropriate retry and error handling mechanisms. Additionally, Amazon Redshift provides automated backups and allows you to create snapshots to protect your data and cluster configuration, further ensuring recovery options in the event of a failure. Overall, while the leader node represents a potential single point of failure in Amazon Redshift, the impact can be mitigated through automated recovery mechanisms and proper application design.