Pepperdata Capacity Optimizer
Pepperdata Capacity Optimizer
Pepperdata’s real-time cloud cost optimization is the only solution that addresses in-application waste automatically.
- Removes the need for manual tuning, applying recommendations, or changing application code
- Eliminates the waste inside the application that other optimizations can’t
- Frees engineers from tedious optimization tasks and empowers them to focus on innovation
Autonomous
Dynamically determines where more work can be done and applies optimizations without manual intervention or recommendations
Continuous
Runs 24/7 without developer oversight, constantly calibrating application resources based on changing needs
Real Time
Identifies where more work can be done and optimizes those resources automatically in real time without the use of models
Autonomous
Dynamically determines where more work can be done and applies optimizations without manual intervention or recommendations
Continuous
Runs 24/7 without developer oversight, constantly calibrating application resources based on changing needs
Real Time
Identifies where more work can be done and optimizes those resources automatically in real time without the use of models
Compare conventional optimizations to
Pepperdata Real-Time Cost Optimization
Compare conventional optimizations to Pepperdata
Most cloud cost optimization solutions focus only on improving infrastructure price/performance. Pepperdata Capacity Optimizer immediately and automatically reduces the often unnoticed waste inside the Spark application itself.
Pepperdata Capacity Optimizer immediately and automatically reduces the often unnoticed waste inside the Spark application itself that can significantly inflate your costs.
Pepperdata customers save an average of 30 percent on their Spark workload costs in the cloud on top of the other optimization methods.
Augmented FinOps for Spark on Amazon EMR and Amazon EKS
Augmented FinOps for Spark
Pepperdata’s Augmented FinOps solution works automatically in real time to maximize the optimization of your cloud deployments. Here’s how it does it.
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Cloud usage and cost transparency
Observe and identify cloud cost data at the Spark application layer.
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Workload optimization
Run more apps without additional spend by packing pending pods onto underutilized nodes automatically in real time.
Autodesk reduces Amazon EMR costs by 50%
“Pepperdata allowed us to significantly increase capacity for our Amazon EMR workloads and reduce our EC2 costs by over 50 percent. We can focus on our business, while they optimize for costs and performance.”
—Mark Kidwell, Chief Data Architect, Platforms and Services, Autodesk
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Challenge
Autodesk was experiencing runaway costs as they scaled its Spark workloads
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Solution
Autodesk installed Pepperdata Capacity Optimizer to automate cloud cost optimization in real time
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Results
Autodesk successfully reduced Amazon EC2 costs by over 50 percent
Optimize your cloud costs by 30% within 6 hours
Peppedata pays for itself with 100% ROI or more guaranteed.
You pay only if we save you money.
If you’re running Spark, give us 6 hours and we’ll save you 30% on top of the other optimizations that you’ve already done.
Here’s how the evaluation works:
- Install Pepperdata: ~30 minutes: Pepperdata is installed in your environment.
- Run Pepperdata: ~5 hours: Run your workloads as normal. Pepperdata goes to work immediately reducing the waste in your Spark environment.
- Review results: ~30 minutes: Meet with Pepperdata Solutions Architect to review your cost savings, utilization data, and ROI
Sign up for a free, no-risk Proof-of-Value to see how much you can save with Pepperdata Capacity Optimizer.
