Understand the Trade-offs Resulting from Node Hardware

Understand the Trade-offs Resulting from Network Choices

Understand the Trade-offs Resulting from Storage Subsystems

Understand the Trade-offs Associated with Big Data Distribution Vendors

Chartboost Realizes Significant Performance Boost and Cost Savings on their Cluster

Upon deployment, the Pepperdata product suite enabled Chartboost with deep visibility to pinpoint and troubleshoot their cluster problems and enable Chartboost to reduce its total AWS node count by 30 percent.

The level of support and expertise that we receive from the Pepperdata team made a big difference to us. Pepperdata worked closely with us on our implementation to ensure success. With Pepperdata Capacity Optimizer, the DevOps team runs more jobs, faster. We’ve seen a big performance boost across the cluster and have a much more efficient data footprint. Using the Pepperdata dashboard to see application-level metrics, unique custom views, resource utilization per workload drilldowns, and hardware utilization by various workgroups has significantly improved the way that we manage and troubleshoot.- Senior Manager of EDW Operations Engineering at Expedia
I develop a lot of complex Spark code to perform ETL on Hadoop clusters. In these complex, large-scale systems, you must be able to understand where the performance bottlenecks are. Pepperdata Application Spotlight gives developers detailed time-series performance data for things like CPU, JVM memory, and I/O usage overlaid against Spark job stages. I’m excited about the direction Pepperdata is moving — letting developers quickly see problems in time-series views and tie them back to their actual Spark application code will be a very useful tool for developers working on production Spark applications.- Software Engineer at Stripe and Pepperdata Technology Advisory Board Member

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.

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