Choose your scaling strategy
The scaling strategy of your ETL pipeline environment is a critical decision informed by your specific use case, data characteristics, and operational constraints. While the list of factors to consider can be quite exhaustive, we have consolidated them into a list of the primary factors to consider when choosing a scaling strategy.
Processing requirements
If your ETL tasks are computationally intensive (e.g., complex transformations or machine learning models), vertical scaling can provide the necessary computational power. Processing requirement issues fall under the umbrella of bottleneck constraints; in order to resolve current issues and prevent future ones, you first need to start by monitoring and analyzing the resource utilization of your environment. For instance, if your pipeline is set up to run on a Kubernetes cluster, once you identify the nodes that are experiencing bottlenecks, you can simply increase the CPU capacity, memory, or disk...
