Replicas Optimization
Optimize Replicas. Predict Load. Improve Performance. Cut Costs.
Bring real-time, application context-aware automation to horizontal pod scaling. ScaleOps dynamically manages min and max replica counts as well as triggers to cut costs and proactively scales ahead of demand, reducing cloud waste while maximizing performance and reliability.
Industry Leaders Using ScaleOps Automation in Production
Predictively Scale Ahead
Of Time
Replica Optimization predicts spikes and load, and scales replicas ahead of time to maximize performance. With application context-awareness, ScaleOps analyzes real-time workload behavior and anticipates traffic surges, so replicas are already running when the load hits.
Instant Savings with Automated Replica Management
Cut cloud costs by eliminating unnecessary workload replicas. ScaleOps automatically optimizes the number of replicas in real-time based on historical and predictive usage. No setup required. ScaleOps automatically selects the right horizontal scaling policy based on workload application context.
HPA. But so much better.
Supercharge HPA and KEDA
ScaleOps supports your existing HPA and KEDA definitions, no configuration required. It works with any metric you’ve defined as a scaling trigger, automatically detecting and optimizing them in real-time. With built-in automation and predictive scaling, ScaleOps brings proactive, cost-efficient horizontal scaling to your workloads.
Centralized Control for DevOps and Platform Teams
Replicas Optimization centralizes horizontal scaling policies at the platform level with policy-driven automation that gives DevOps and Platform teams control and consistency across all workloads and environments. Set the rules, so that there is no more scattered logic owned by individual application teams.
