Product and Solutions

Application Spotlight Data Sheet (PDF)

Platform Spotlight Data Sheet (PDF)

Products and Solutions Overview (PDF)

Case Studies

Clearsense – Clearsense Relies on Pepperdata to Ensure Uptime and Performance for Its Life-Saving Healthcare Platform.

Philips Wellcentive – Shining Light into the Philips Wellcentive Cluster

Rubicon Project – Rubicon Project Improves Performance and Streamlines Automated Advertising Platform with Pepperdata

Chartboost – Chartboost Experiences Significant Amazon Web Services (AWS) Savings

Clearsense Customer Success (Video)

Comcast Customer Success (Video)

White Papers

How Big Data APM Conquers Big Data Challenges (PDF)

Eight Ways the Pepperdata APM Solution Can Deliver ROI (PDF)

Industry Insights

451 Research Report: Top Ten IT Trends for 2019 (PDF)
This research report taps into the ‘hive mind’ of the 451 analyst team and discusses their top 10 trends for the IT industry overall in 2019.

Effective Multi-Tenant Distributed Systems: Challenges and Solutions When Running Complex Environments (PDF)
This book uses Hadoop as an example of a multi-tenant distributed system. Hadoop serves as an ideal example of such a system because of its broad adoption across a variety of industries, from healthcare to finance to transportation. Due to its open source availability and a robust ecosystem of supporting applications, Hadoop’s adoption is increasing among small and large organizations alike.

Hadoop and Spark for the Enterprise: Ensuring Quality of Service in Multi-Tenant Environments (PDF)
Learn how Pepperdata helps ensure Quality of Service in multi-tenant environments by guaranteeing service levels for high priority jobs and ensuring cluster hardware resources are used to maximum potential, to maximize throughput and hardware usage.

The Hadoop Performance Myth: Why Best Practices Lead to Underutilized Clusters, and Which New Tools Can Help (PDF)
Deploying Hadoop involves many choices that can make or break your Hadoop initiative. Find out what successful Hadoop deployments have in common.

Data Analytics with Hadoop: A Practical Guide to Understanding Data Science and Analytics (PDF)
Learn how Pepperdata helps ensure Quality of Service in multi-tenant environments by guaranteeing service levels for high priority jobs and ensuring cluster hardware resources are used to maximum potential, to maximize throughput and hardware usage.

Best Practices for Setting up and Maintaining Reliable Hadoop Clusters (PDF)
Unlock the power of your data by learning how to ensure a successful start to your big data project. We’ll dive into tried and true process for how to build, maintain, and manage successful Hadoop deployments. This guide will show you how.

Analyst Paper: Pepperdata Enables Performance QoS for Hadoop
Taneja Group analyst firm comments on the challenges for Enterprises looking to deploy Hadoop, and how Pepperdata helps organizations enforce SLAs and bridge the Hadoop skills gap with its automated cluster performance management.

Yarn: The Definitive Guide (PDF)
This is an excerpt from the O’Reilly book titled “Hadoop: The Definitive Guide.” This chapter, focused exclusively on YARN, will provide a deep dive into the workings of Hadoop schedulers, a comparison of the tools on the market, and best practices for building your own YARN applications.

High-Performance Spark: Best Practices for Scaling and Optimizing Apache Spark (PDF)
This exclusive chapter from O’Reilly book “High-Performance Spark” introduces Spark’s place in the big data ecosystem, and helps you understand how Spark programs are executed, its model for parallel computing, and improve your general understanding of this open source technology.