Quickly diagnose performance issues and make resource decisions.
STOP OVERSPENDING ON YOUR BIG DATA INFRASTRUCTURE READ MORE
Get a 360° View of Your Platform
Platform Spotlight gives you a 360° view of your infrastructure and resource utilization, recommendations for optimization, automatic tuning, and alerting. Pepperdata cluster performance monitoring includes real-time and historical information about your clusters including system demand, abusive users, and wasteful applications. Drill down to analyze any big data application to understand its performance in the context of the cluster.
Monitor technologies and frameworks including Kafka, Impala, HBase, Hive, MapReduce, Tez, Spark, IBM BigSQL, LLAP, EMR, and Dataproc.
Identify Hadoop big data applications slowdowns caused by disk, network or node failures/congestion.
Attribute accurate costs to cluster users and business units for chargeback.
Get Recommendations to Optimize Workloads
Big Data operators are challenged to configure and size resources running on multi-tenant clusters with mixed workloads. Pepperdata provides actionable reporting and recommendations to rightsize containers, queues, and other resources.
Size big data queues appropriately based on criticality.
Get self-service recommendations on container sizes and heap reservations.
Identify growth trends and accurately forecast resource needs.
Create and Receive Alerts
on Platform Health and Performance
Create and receive alerts about events that interfere with performance.
Track any resource, including CPU, memory, and IO to alert on rogue users.
Use data on activity to alert on rogue applications and identify which applications will miss SLAs.
Identify under-performing or failing hardware.
Make Informed Capacity
and Resource Decisions
Identify users and applications wasting system CPU and memory, prioritize and tune them appropriately. Access reports with relevant and historical information about the cluster on one cohesive capacity planning report.
Benefits
Operators
- Understand why jobs are running slowly.
- Compare job runs over time.
- Understand performance of each job phase.
Developers
- Automatically identify bottlenecks and alert on duration, failure conditions, and resource usage.
- Highlight applications that need attention.
Enterprise Organizations
- Report on capacity trends.
- Get accurate chargeback reporting.
- Increase productivity.
