Create a Holistic Source of Performance Truth Across Your Big Data Clusters

You’re constantly looking at different tools to understand the performance of your clusters, to manage and monitor resource capacity, maximize your existing infrastructure investment, and forecast resource needs, but it’s impossible to have an accurate view without access to the right data. Your operators are challenged with configuring and sizing critical resources running on multi-tenant clusters with mixed workloads, and you receive alerts without enough detail to isolate and resolve problems. Improving the performance of your clusters and successfully managing capacity requires an understanding of dozens of performance metrics and tuning parameters.

Pepperdata Platform Spotlight continuously collects extensive unique data—that nobody else collects—about your hosts, queues, users, applications and all relevant resources, providing you with a 360° cluster view to quickly diagnose performance issues and make resource decisions.

Watch this video to see how Pepperdata performance management solutions enable you to manage and achieve optimal hardware performance in your multi-tenant distributed computing environment.

Platform Spotlight enables operators to quickly understand performance impacts and receive recommendations on how to better optimize the big data infrastructure. Platform Spotlight enables you to quickly diagnose Hadoop performance issues up to 90% faster while making resource decisions based on user priorities and needs.

Get a 360° View of Your Platform

Pepperdata cluster performance monitoring provides relevant real-time and historical information about your clusters including system demand, abusive users, and wasteful applications, as well as queue and container sizes. Drill down to analyze any big data application to understand its performance in the context of the entire multi-tenant cluster.

  • Access a single source of operational and performance truth. Access real-time and historical data about the cluster, including system demand, abusive users, and wasteful applications, as well as queue and container sizes. Drill down or zoom out to analyze any application to understand its performance in the context of the entire multi-tenant cluster.

  • Get complete instrumentation of your big data ecosystem. Monitor any process including Kafka, Impala, HBase, Hive, MapReduce, Tez, Spark, IBM BigSQL, and LLAP.

  • Quantify the impact applications have on the cluster. Identify the impact that applications have on cluster-wide resources such as CPU, disk, memory, network, NameNode, and HDFS.

  • Quantify the impact the cluster has on applications. Identify which application slowdowns were caused by disk, network or node failures/congestion.

  • Attribute accurate costs to users and business units. Get detailed usage data of every resource, which when combined with your cost model, generates the most accurate reports to identify the most costly users and business units.

Get Recommendations to Maintain and Optimize Your Platform

Achieve optimal application and cluster performance on multi-tenant systems.

  • Size queues appropriately based on criticality. Get recommendations for queue sizing. 

  • Size containers for optimal resource consumption. Get self-service recommendations on container sizes and heap reservations. 

  • Accurately forecast resource needs. Identify growth trends across resource groups.

Platform Spotlight recommendations enable operators to achieve optimal application and cluster performance on big data, multi-tenant platforms.

Platform Spotlight enables operators to set and receive notifications on metrics of interest, and alerts about events that interfere with infrastructure performance.


Platform Spotlight enables you to create and receives alerts about events that interfere with performance.

  • Identify cluster bottlenecks

  • Use Pepperdata’s rich real-time data to identify resource bottlenecks, including CPU, memory, and IO

  • Identify application bottlenecks



  • Understand how jobs use resources

  • Understand why jobs are running slowly

  • Understand performance of different job phases

  • Compare job runs over time


  • 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

  • Search all applications running on the cluster, compare current and previous runs, and visualize Spark applications and its stages for easy root cause failure analysis and performance tuning.

Enterprise Organizations

  • Report on capacity trends

  • Get accurate chargeback reporting

  • Increase productivity

Pepperdata Shines a Light Into Big Data Healthcare Cluster

Philips Wellcentive fixed the root cause of a critical performance issue within days of installing Platform Spotlight. Their Hadoop cluster achieved a significant increase in cluster performance throughput. Jobs completed on time and SLAs were met. The technical team returned to focusing on their core initiatives, streamlining operations, and meeting revenue targets.

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 nodes.

Request Trial