Java Resource Management
risking performance
Zesty continuously analyzes JVM behavior and automatically rightsizes Java heap, pod CPU, and memory allocations based on real-time application demand. Reduce Java workloads costs and keep performance stable.
Understand what’s happening
inside the JVM
Go beyond container-level metrics. Zesty analyzes Java memory behavior, including heap and non-heap usage, garbage collection, memory pressure, and OOM signals.
Dynamically optimize Java memory
and pod resources
Adjust Java heap size and pod CPU and memory requests in sync, based on in real time application demand and Garbage Collector behavior.
Automate Java workloads
resource management
Replace static configurations and manual tuning with continuous, automated optimization that eliminates waste across your Java workloads.
From static Java resources to continuous optimization
Optimize Java without the performance tradeoffs
Reduce waste
Minimize overprovisioned Java memory and improve Kubernetes resource utilization.
Protect performance
Maintain the resources your Java applications need while reducing the risk of OOMs and throttling issues.
Free your engineers
Spend less time configuring Java parameters, troubleshooting performance issues, and manually adjusting resources.
Optimize at every layer
Multi-dimensional Autoscaling
Optimize pod resources and replica counts to maximize performance and cost efficiency.
PV autoscaling
Automatically rightsize persistent volumes based on usage to reduce costs and maintain availability.
Automated Fractional GPUs
Automatically adjust GPU allocations to reduce stranded capacity and run more workloads on existing GPUs.
Azure Commitment Optimization
Continuously align commitments with usage to maximize coverage and minimize lock-in risk.
AWS Commitment Optimization
Continuously align commitments with usage to maximize coverage and minimize lock-in risk.
Adaptive pod placement
Reposition unevictable pods to reduce fragmentation and enable node consolidation.
FastScaler
Reduce app startup time by up to X5 to absorb spikes without throttling or OOMs.
Compute cost visibility
Analyze workload costs, identify waste, and automate with clear data-driven insights.
