Products

Pepperdata brings active resource management and quality of service features to Big Data environments. This includes fine-grained visibility into every application’s usage of CPU, memory, network, and disks in real time. Pepperdata products are delivered to the market as a combination of software running on customer’s clusters (whether on-premise or in the cloud) and as SaaS solutions.

Code Analyzer

Code Analyzer for Apache Spark enables Spark application developers to easily identify lines of code and stages that cause performance issues related to CPU, memory, garbage collection, network, and disk I/O.

Application Profiler

Application Profiler provides detailed information on which stages of data pipelines consume what type of resources, including a simple visual understanding of bottlenecks and tuning efficiency suggestions.

Cluster Analyzer

Cluster Analyzer provides fine-grained visibility into workloads, down to the task level, to drastically decrease troubleshooting time via the use of the most comprehensive set of correlated big data metrics available.

Cluster Analyzer for EMR

Cluster Analyzer for Amazon Elastic MapReduce (EMR) monitors the cluster and provides DevOps with important, actionable performance feedback to quickly pinpoint, diagnose, and fix problems.

Capacity Optimizer

Capacity Optimizer leverages active resource management features to dynamically alleviate inefficiencies and bottlenecks without the need for manual job tuning or cluster tuning.

Policy Enforcer

Policy Enforcer leverages quality of service features to dynamically grant high-priority access to CPU, memory, and disk I/O in accordance with predefined policy definitions.