Autonomous Cloud
Cost Optimization
Pepperdata offers comprehensive performance optimization that provides real-time visibility into your cloud infrastructure. Automatically and continuously eliminate waste from your cloud environment to minimize costs and meet SLAs.
- Automatically tune applications and infrastructure and recapture cloud resources
- Optimize your cluster resources and run more applications
- Eliminate any inefficiencies in your cloud autoscaler
Top Challenges of Manual Infrastructure Tuning
Cloud budgets can be notoriously complicated, with more than one-third of enterprises unfortunately exceeding their budgets by 40%.
Cost Observability
Dashboards
Dashboards provide visibility into workloads and no remediation
Workload
Rightsizing
The manual effort involved in orchestrating savings, plans, reserved instances, spot instances, alternate availability zones, etc. can overwhelm FinOps
Manual
Tuning
Engineers cannot keep up with variety and volume of:
- Applications
- Instance types
- Autoscaling parameters
- Ephemeral Cloud Clusters
Pepperdata Optimizes Your Clusters
in Two Ways
Optimal Capacity Utilization
Optimal Capacity Utilization:
Pepperdata Capacity Optimizer uses the power of machine learningto make thousands of decisions per second, analyzing and optimizing the resource usage of each node to optimize CPU, memory, and I/O resources. The net effect is that horizontal scaling is optimized and waste is eliminated.
Optimal Autoscaling
Optimal Autoscaling:
Pepperdata Capacity Optimizer solves the problem of inefficiencies in cloud autoscalers by enabling the scheduler or cluster manager to schedule workloads based on resource utilization instead of resource allocation, both in YARN and in Kubernetes. Capacity Optimizer augments your autoscaler to take cloud cost optimization to the maximum level.