Summary
This chapter was all about ensuring that the data platform that’s built is performant as well as cost-effective. We started by understanding the need for a data platform that operates optimally. If any part of the data platform is either not performing well or is very expensive, it often creates a snowball effect and affects the business negatively.
A lot of cost optimization can be achieved by optimizing the infrastructure used by the AWS services under the covers. By optimizing storage and compute resources, we can save significant costs. We also looked at some of the tools AWS provides that help in the cost optimization process.
Finally, we looked at some of the service-specific tuning settings that can help with performance improvements. The list of such improvements can be quite long for each service, but the key message was to leverage the best practices for each service and always perform a WAR before deploying workloads in production.
In the next and...
