What is Pepperdata Capacity Optimizer?
Pepperdata provides a comprehensive solution for optimizing the performance and efficiency of big data and Kubernetes systems, whether deployed in the cloud or on-premises. The platform collects and analyzes hundreds of real-time metrics from applications and infrastructure, delivering a detailed, correlated understanding of system behavior. It automatically identifies bottlenecks, highlights applications that require attention, and alerts on duration, failure conditions, and resource usage, giving users complete observability and insight into their big data stack Pepperdata Capacity Optimizer, a battle-tested and proven solution, minimizes the inherent waste in big data and Kubernetes environments by instructing the scheduler to consider actual resource utilization instead of allocated resources. This approach reclaims waste, maximizes resource utilization, and optimizes autoscaling in the cloud. Capacity Optimizer operates autonomously, continuously, and in real-time to optimize resource usage in both Spark and microservices environments
Highlights
- Real-time collection and analysis of hundreds of application and infrastructure metrics
- Automatic identification of bottlenecks and problematic applications
- Alerts on duration, failure conditions, and resource usage
- Detailed, correlated understanding of system behavior
- Optimization of resource utilization and autoscaling in cloud and on-premises environments
- Autonomous, continuous, and real-time operation to reclaim waste in Spark and microservices environments