Application Spotlight Self-Service Big Data APM Portal
You’re constantly looking at different tools to understand Hadoop and Spark application performance yet you still don’t have an accurate picture. Application Spotlight gives you a 360° view of your apps in one place, as well as their context cluster-wide. Pepperdata continuously collects data about all of your big data applications and infrastructure resources – unique data that enables you to quickly diagnose application performance issues up to 90% faster.
360 ° Application View
Create a holistic source of application performance truth across your Hadoop clusters.
Self-Service APM Access to your Application Performance Data
Complete Instrumentation of your Hadoop and Spark Applications
Quantify the Impact the Cluster has on your Applications
Application Tuning
Improve performance and efficiency of your Hadoop and Spark applications.
A Single Source for Application Performance Data Presented in Context of the Big Data Cluster
AI-Driven Optimization of Recurring Applications
Application Recommendations
Create a holistic source of application performance truth across your big data clusters.
Change Configuration Parameters to Optimize Performance
Tune CPU and Memory Reservations Based on Actual Consumption
Change Queue Selection or Launch Time Based on Cluster Activity
Application Alerting
Create and receive alerts about events that interfere with application performance
Identify Cluster Bottlenecks
Identify Application Bottlenecks
Identify Hadoop and Spark Applications at Risk of Missing SLAs
Request a trial to see firsthand how Pepperdata big data solutions can help you achieve big data performance success. Pepperdata’s proven APM solutions provide a 360° degree view of both your platform and applications, with realtime tuning, recommendations, and alerting. See and understand how Pepperdata big data performance solutions helps you to quickly pinpoint and resolve big data performance bottlenecks. See for yourself why Pepperdata’s big data APM solutions are used to manage performance on over 30K Hadoop production clusters.