Apache Spark Optimization Myth: Instance Rightsizing

Instance rightsizing can reduce cloud costs but has limitations in optimizing Apache Spark applications. This white paper explores the challenges of relying solely on instance rightsizing:

Tools like Karpenter don't address inefficiencies within applications, such as overprovisioning or poorly written jobs, which are hard to fix at scale.
Real-time changes in application performance can make the initially chosen instance type suboptimal, leading to resource waste.

The paper argues that instance rightsizing is a partial solution, and additional strategies are needed to fully optimize Apache Spark in the cloud.

Read the full white paper to explore comprehensive approaches.

Vendor:: Pepperdata
Posted:: Feb 6, 2025
Published:: Feb 6, 2025
Format:: HTML
Type:: White Paper

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