Application Recommendations

Achieve optimal Spark application performance.

Developing distributed big data applications is complex. Developing fast and efficient Spark applications requires an thorough understanding of big data performance metrics and tuning parameters. Pepperdata automatically delivers job-specific application recommendations based on industry best practices and in-depth knowledge of big data performance metrics and performance tuning.

Change configuration parameters to optimize performance

Get self-service recommendations on data partitioning and serialization.

Tune CPU and memory reservations based on actual consumption

Get self-service recommendations on container sizes and heap reservations.

Change queue selection or launch time based on cluster activity

Identify the best queue and launch time for applications based on current workloads.

Key Performance Indicators

  • Improves application efficiency and performance.
  • Increases productivity.

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Solutions Can Help You Achieve Big Data Performance Success

Pepperdata solutions provide a 360° degree view of your platform and your applications, providing real-time tuning, recommendations, and alerting. Learn how Pepperdata big data performance solutions help you to quickly pinpoint and resolve performance bottlenecks.