CoSupport AI
What is Pepperdata?
Pepperdata delivers continuous, real-time, and autonomous optimization for cloud resources, focusing on increasing GPU, CPU, and memory utilization across Kubernetes workloads. The platform empowers businesses to maximize infrastructure efficiency, achieve cost savings of up to 80%, and boost performance by eliminating waste due to overprovisioning and manual tuning.
Without any need for application code changes or manual configuration, Pepperdata automatically adjusts resources to actual usage requirements. This dynamic optimization enables organizations to run more applications with the same resources and reclaim valuable engineering time. Trusted by enterprises on platforms such as Amazon EMR and Amazon EKS, Pepperdata guarantees ROI through measurable cost reductions and operational simplicity.
Features
- Real-Time Resource Optimization: Continuously adjusts GPU, CPU, and memory usage to match workload demands.
- Autonomous Operation: Runs without manual tuning or application code changes.
- Kubernetes Workload Support: Specifically designed to optimize containerized environments.
- Cost Reduction: Helps achieve up to 80% higher utilization and significant cloud cost savings.
- Performance Improvement: Enhances task performance by reducing resource waste.
- Automatic Overprovisioning Detection: Identifies and eliminates unnecessary resource allocations.
- Developer Time Savings: Frees engineers from manual infrastructure adjustments.
- Integration with Amazon EMR and EKS: Compatible with major cloud platforms for big data and container orchestration.
Use Cases
- Reducing cloud computing costs in Kubernetes environments.
- Increasing utilization efficiency for GPU, CPU, and memory resources.
- Optimizing Amazon EMR and Amazon EKS infrastructure.
- Supporting cloud migration without wasting resources.
- Minimizing manual engineering intervention in resource allocation.
Related Queries
Helpful for people in the following professions
Pepperdata Uptime Monitor
Average Uptime
100%
Average Response Time
476.5 ms
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