PRODUCT DATASHEETS
Capacity Optimizer Datasheet
In cloud environments, autoscaling provides the elasticity that you need for your big data workloads, but it often leads to uncontrolled costs. With Pepperdata’s Capacity Optimizer, you can relax with the peace of mind that your clusters are operating at the highest levels of resource and cost efficiency.
Download the datasheet to learn how you can free your developers from drudgery of manual tweaking and empower them to focus on enterprise-level innovation.
Key Findings:
Boost Autoscaling Performance
Autoscaling provides the elasticity that you need for your big data workloads,
but it often leads to uncontrolled costs.
You’re In Control
Install on the cluster(s) you choose and experience immediate resource and cost reductions.
Do More With Less
Capacity Optimizer analyzes the resource usage of each
of your cluster’s nodes in real time and uses machine
learning to make thousands of resource allocation
decisions per second. It identifies where more work can
be done and adds tasks to nodes with available
resources. The result: CPU, memory, and I/O resources
are autonomously optimized to increase utilization, and
waste is eliminated in both Kubernetes and traditional
(Hadoop/YARN) big data environments.
“Capacity Optimizer automatically tunes
cluster capacity for workloads in real
time, avoiding lots of manual tuning and
helping to save money.”