Benefits
Application-aware observability for improved reliability
Prevent and remediate issues via a single pane of glass for all your application, container, and infrastructure metrics. Gain holistic insight to ensure the performance and reliability of all your workloads.
Autonomous performance optimization
Eliminate the barrage of recommendations and the time sink of manual tuning. Let Pepperdata autonomously optimize the performance of your massively-scaled clusters.
Price/performance boost up to 3X
Minimize cost and waste in all your big data workloads. Dramatically increase throughput and reduce compute resources.
On prem, cloud, and hybrid support
Achieve autonomous optimization and application-aware observability on prem, in the cloud, or wherever you are on your migration path.
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Products
Capacity Optimizer
Pepperdata Capacity Optimizer is a radical new way to reduce cost and resources in the cloud and increase throughput in on-prem environments. By working autonomously and continuously in the background, Capacity Optimizer uses machine learning to eliminate the hassle of manual tuning, freeing your developers to focus on production and innovation.
- Ensuring that all nodes are fully utilized before additional nodes are created
- Directing the cloud autoscaler to downscale as instance utilization decreases
The net effect is that scaling is autonomously optimized and waste is eliminated, enabling up to a 38% cost reduction on Amazon EMR with the same workload duration.
Platform Spotlight
Pepperdata Platform Spotlight provides a single pane of glass into the usage of your big data environment, in any cloud or on prem. It continuously collects metrics about your hosts, queues, users, and applications to enable:
- Industry-leading waste management: Visualize and compare the core and memory waste in your big data environment, broken down by application, user, or queue.
- Chargebacks/showbacks: Identify and eliminate pockets of waste by user, job, resource, or department.
- Confident cloud migration: Understand the cost of migrating your on-prem environments to any of the major clouds so you can proceed with confidence.
Platform Spotlight provides both granular visibility and holistic insight into the performance and cost attribution of all your big data workloads.
Application Spotlight
Pepperdata Application Spotlight automatically captures, analyzes, and presents a correlated view of all your big data applications in one place to improve performance and deliver:
- Application-Aware Observability: Visualize thousands of application-level metrics in one aggregated view. View a summary across all your applications or drill down one by one.
- Side-by-Side Application Comparison: Choose any two applications (or different runs of the same application) to compare their performance characteristics for expedited troubleshooting.
- Optimization Recommendations: Minimize inefficiencies and bottlenecks caused by factors such as insufficient parallelism, memory waste, OOM errors, Spark failures, unused GPUs, and read/write skew.
Application Spotlight helps you understand and optimize app performance across your cluster, cut troubleshooting time, and maintain SLAs.
Query Spotlight
Pepperdata Query Spotlight provides deep insight into Hive, Impala, and Presto/Trino query execution and database performance. Query workloads can be tuned, debugged, and optimized for better performance and reduced costs.
- Query-aware observability: Visualize thousands of query-level metrics in one aggregated view. View a summary across all your queries or drill down one by one.
- Side-by-side query comparison: Choose any two queries (or different runs of the same query) to compare their performance characteristics for expedited troubleshooting.
- Optimization recommendations: Minimize inefficiencies and bottlenecks caused by cross joins, disk spillage, missing statistics, and read/write skew.
Use Cases
Automated troubleshooting
Identify application slowdowns caused by disk, network, or node failures and congestion.
Identify application slowdowns caused by disk, network, or node failures and congestion.
Accurate chargebacks/ showbacks
Achieve accountability by viewing and charging for consumption by user, job, resource, or department.
Achieve accountability by viewing and charging for consumption by user, job, resource, or department.
Hands-off tuning
Autonomously optimize node performance and prevent application waste — enabling up to 50% more throughput.
Autonomously optimize node performance and prevent application waste — enabling up to 50% more throughput.
Efficient autoscaling
Eliminate the inefficiencies of the native cloud providers by scaling up and down in sync with your varying workloads.
Eliminate the inefficiencies of the native cloud providers by scaling up and down in sync with your varying workloads.
Confident cloud migration
Migrate your on-prem workloads with confidence by understanding how your workloads map into any of the major cloud providers.
Migrate your on-prem workloads with confidence by understanding how your workloads map into any of the major cloud providers.
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