Developing distributed applications is complex. Developing fast and efficient applications requires an understanding of dozens of performance metrics and tuning parameters. Pepperdata automatically delivers job-specific recommendations based on industry best practices and in-depth knowledge of those performance metrics and tuning parameters.
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.
Rubicon Project Improves Performance and
Streamlines Automated Advertising Solution
Pepperdata Platform Spotlight gave Rubicon Project, a leading technology company that automates the process of buying and selling of advertising for advertisers, publishers, and ad agencies, the granular visibility they needed to quickly pinpoint, troubleshoot, and resolve problems in their cluster.
See firsthand how Pepperdata solutions bring APM to every phase of the big data DevOps cycle with solutions for monitoring, tuning, troubleshooting, and improving collaboration between teams.
Schedule a demo today!