Pepperdata, the Big Data Performance company that provides developer and operator solutions to optimize application and cluster performance in Big Data environments, announces Application Spotlight. This self-service portal enables Big Data application developers to generate application-specific recommendations to improve application performance, highlight applications that need attention, automatically identify bottlenecks, and alert on duration, failure conditions, and resource usage.
Application Spotlight helps developers to search for all applications running on the cluster or just the specific applications that they are interested in, compare current and previous runs, and visualize Spark applications and its stages for easy root cause failure analysis and performance tuning.
Application Spotlight provides relevant application information, insights, and calls to action, all in one place, so that developers can easily and quickly perform these tasks,” said Ash Munshi, CEO of Pepperdata. “In addition to helping developers make jobs go faster, Application Spotlight enables them to be better tenants in multi-tenant clusters by showing them how to write optimal jobs and more efficiently use their queue and cluster resources with practical, innovative application performance management solutions. Application Spotlight enables developers to quickly understand performance impacts and get recommendations on how to better optimize their jobs.”
Big Data Performance Solutions for Both Developers and Operators
The Pepperdata product suite provides solutions for monitoring, tuning, troubleshooting, applications and clusters along with automated cluster optimization. Pepperdata allows enterprises to:
- Reduce time-to-problem resolution using comprehensive and detailed performance data, allowing developers and operators to troubleshoot performance problems 10x faster.
- Provide developers with solutions that help them identify and fix application performance problems caused by excessive usage of resources and application errors
- Automatically increase cluster capacity utilization by 30 percent to 50 percent without adding hardware.
Pepperdata products improve collaboration between development and operations teams by providing both an application as well as cluster view of performance. Pepperdata products, are used to monitor and manage mixed workloads from frameworks such as Spark, MapReduce, Kafka, Tez, Solr, and Impala.
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