Martech Zone Interviews

Pepperdata Capacity Optimizer: Cut Apache Spark Cluster Cloud Costs by Up to 47%

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Maximizing the efficiency of cloud infrastructure is a constant challenge for businesses. From scaling application workloads to ensuring optimal resource allocation, managing cloud environments can quickly become complex and expensive. Companies often face bloated instance hours, inefficient resource utilization, and a need for constant manual tuning to keep everything running smoothly.

Pepperdata Capacity Optimizer

Pepperdata Capacity Optimizer is a real-time resource optimization tool that helps businesses reduce their cloud costs by up to 47%, specifically for Apache Spark clusters on Amazon EMR and EKS. The platform automatically tunes your applications and infrastructure, eliminating wasted resources while allowing developers to focus on building, not fixing.

Pepperdata Capacity Optimizer delivers clear benefits for businesses looking to maximize their cloud investments:

  • Instant Cost Reduction: By reducing waste and optimizing resource usage, businesses can immediately see savings in instance hours and operational expenses.
  • Enhanced Spark Cluster Efficiency: The platform tunes resources in real-time, allowing businesses to run more jobs on existing infrastructure without modifying their application code.
  • Developer Efficiency: Pepperdata frees developers from manual resource management, enabling them to focus on more strategic tasks rather than constant tuning and troubleshooting.

    • Pepperdata Capacity Optimizer helps businesses achieve significant cost savings by enabling real-time resource optimization in their cloud clusters. With this tool, users can see a 30–47% reduction in instance hours, lower operational costs, and higher application efficiency without manual intervention.

    Key Features of Pepperdata Capacity Optimizer
    • Automatic Task Management: Pepperdata automatically adds tasks to underutilized nodes, fully leveraging available resources.
    • Continuous Intelligent Tuning: Using patented algorithms, the platform identifies optimization opportunities and adjusts resources in real-time to maximize efficiency.
    • Dynamic Scaling: The platform only adds new nodes when necessary, helping businesses avoid the expense of over-provisioning.
    • Increased CPU and Memory Utilization: Pepperdata improves CPU and memory usage by identifying underutilized resources and reallocating workloads accordingly.
    • Real-Time Application Insights: Users gain visibility into how applications use resources, empowering them to make informed decisions about performance and costs.

      • Getting started with Pepperdata is straightforward. Once the platform is integrated into your cloud environment, it monitors and optimizes resources in real-time. No changes to your existing infrastructure are required, and you can quickly see the results in reduced costs and improved application performance.

      Start optimizing your cloud costs today with a free Cost Optimization Proof-of-Value from Pepperdata. Click the button below to request a demo and see how Pepperdata Capacity Optimizer can deliver immediate results.

      Get a Pepperdata Capacity Optimizer Demo

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      Originally Published on Martech Zone: Pepperdata Capacity Optimizer: Cut Apache Spark Cluster Cloud Costs by Up to 47%

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      Martech Zone InterviewsBy Douglas Karr
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