Pepperdata and Cloudera Optimize Your Data Platform for Reduced Cost and Improved Efficiency
Solution Overview
Pepperdata Capacity Optimizer real-time cost optimization delivers 30-47% immediate cost savings for data-intensive workloads such as Apache Spark with no application changes. Using patented algorithms, Pepperdata automatically reduces resource usage in real time, and eliminates the need for manual tuning. Pepperdata Identifies where more work can be done and then communicates to the system scheduler (e.g. YARN) to add tasks to nodes with available resources and to spin up new nodes only when existing nodes are fully utilized. The result: CPU and memory are autonomously and continuously optimized, without delay and without the need for recommendations to be applied. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing Spark utilization, and freeing developers from manual tuning to focus on innovation.
For customers interested in additional visibility into their cluster and application activity, Pepperdata’s observability dashboard offers deep insights not readily available through general-purpose monitoring or out-of-the-box performance management tools. These observability features are available to customers of Capacity Optimizer at no extra cost.
The combination of Pepperdata with CDP delivers autonomous optimization for data-intensive workloads so enterprises can cut costs in the cloud, slash resource wastage, and ensure the optimal performance of their big data stack.
Key highlights
Category
Modernize Architecture
About Pepperdata
Pepperdata Capacity Optimizer delivers 30-47% greater cost savings and performance for data-intensive workloads on Cloudera with no application changes. Using patented algorithms, Pepperdata immediately reduces the waste inherent in big data workloads and decreases instance hour usage in real time, by automatically remediating gaps between allocated and actual CPU and memory usage. Pepperdata pays for itself by delivering cost reductions while also freeing developers from manual tuning tasks to focus on new strategic solutions and innovation.
Pepperdata Portfolio
The Pepperdata product suite provides observability and autonomous tuning for enterprises running big data on CDP, whether in the cloud or on premises. The suite includes:
Application Spotlight: Provides a comprehensive view of all your data in one place, empowering you to improve efficiency and deliver the best big data workload performance.
Platform Spotlight: Automatically monitors and analyzes the performance of your entire big data architecture. It gives you an in-depth view of your infrastructure and resource utilization, allowing you to quickly diagnose big data performance issues.
Capacity Optimizer: Autonomously optimizes your big data cluster resources and recaptures wasted capacity so you can run more applications and get the most out of your infrastructure investment—all without tuning individual applications.
Pepperdata provides the following benefits while running on CDP:
Automatically tunes your big data environment to deliver the best application performance for even your most challenging workloads.
Empowers enterprises to track spend and accurately attribute spending to business units via chargeback reports.
Autonomous provisioning of compute based on real-time actual node usage instead of peak workload requirements—resulting in the optimized utilization of CPU, memory, and I/O resources on big data clusters even while rapidly scaling.
The combination of Pepperdata and CDP delivers observability and autonomous optimization so enterprises can cut costs in the cloud, slash resource wastage, and ensure the optimal performance of their big data stack.