Fully auton
mous in production - trusted by the world's leading companies
The Complete Platform for Kubernetes Resources
Automated Real-Time
Pod Rightsizing
Automatically rightsize CPU and memory resource requests in real-time, based on workload behavior and live cluster conditions
Replica Optimization
Dynamically manage min and max replica counts and triggers to cut costs and proactively scale ahead of demand
Smart Pod Placement
Eliminate waste from unevictable pods that block effective bin packing and leave nodes underutilized
Spot Optimization
Increase Spot adoption and cut costs even more by intelligently shifting more workloads to Spot instances
Node Optimization
Consolidate and replace nodes with more optimal ones and eliminate underutilized capacity
Karpenter Optimization
Optimize Karpenter instance selection and disruption budgets while eliminating waste across your clusters
GPU Workload Optimization
Maximize GPU performance with real-time workload rightsizing and advanced GPU sharing. ScaleOps dynamically allocates GPUs based on actual demand, ensuring every model gets the resources it needs. Built-in LLM memory rightsizing reduces overprovisioning and boosts utilization. In environments using MIG, ScaleOps automatically optimizes partitioning to minimize waste and maximize performance.
Model Performance Optimization
Deliver fast, reliable AI applications with self-hosted model performance optimization. ScaleOps minimizes cold starts and optimizes context switching to keep models warm for real-time inference. With HPA optimization, ScaleOps scales replicas to match live demand, while model recommendations and streamlined weights management reduce latency and improve load times.
AI Resource Observability
Gain real-time visibility into models and GPUs to detect issues and optimize performance. ScaleOps combines LLM metrics with GPU observability for faster troubleshooting, revealing performance gaps, cost inefficiencies, and resource waste.
Cluster and Workload Troubleshooting
Surface the signals that matter, so you can understand workload behavior, troubleshoot faster, and avoid unnecessary incidents
Cost Monitoring
Get instant visibility into your actual Kubernetes costs, broken down by cluster, namespace, team, application, annotations, or labels
Cloud Resource Management Reinvented
Cut Costs by 80%
Pay only for the cloud resources you need without compromising performance.
Boost Performance & Reliability
Ensure consistent performance and uptime, even in the most dynamic environments.
Free Your Engineers
Eliminate repeated manual tuning forever, allowing you to focus on innovation.
“We came in looking to save costs, but not at the expense of performance. With ScaleOps’ automated resource optimization, we got both, and saw dramatically high cost savings without compromising on reliability.”
“ScaleOps’ automation optimizes our production apps in real time, cutting cloud costs and eliminating repetitive manual work so our teams can focus on core projects. The quick setup delivered immediate value.”
Here's What People Are Saying About Us
“I appreciate how easy it was to install ScaleOps and how it instantly reduced the cognitive load on our application teams, making it much simpler for them to deploy their workloads effectively.”
“ScaleOps’ automation optimizes our production apps in real time, cutting cloud costs and eliminating repetitive manual work so our teams can focus on core projects. The quick setup delivered immediate value.”
“The impact of ScaleOps is measurable: roughly $30k/month in compute savings since deployment, fewer OOM kills, and less manual effort to keep sizing appropriate at scale.”
“ScaleOps automatically optimizes Wiz’s containers in production according to our real-time needs, improving performance even during demand spikes. While dramatically reducing our K8s costs, the hands-free automation freed our teams from dealing with ongoing configurations, which is critical in our rapidly ever-growing environment”
“Before ScaleOps, optimizing workloads was a manual, error-prone process that often led to wasted compute and noisy alerts. Now, resource tuning is automated, data-driven, and always aligned with real usage patterns.”
“I appreciate how easy it was to install ScaleOps and how it instantly reduced the cognitive load on our application teams, making it much simpler for them to deploy their workloads effectively.”
“ScaleOps’ automation optimizes our production apps in real time, cutting cloud costs and eliminating repetitive manual work so our teams can focus on core projects. The quick setup delivered immediate value.”
“The impact of ScaleOps is measurable: roughly $30k/month in compute savings since deployment, fewer OOM kills, and less manual effort to keep sizing appropriate at scale.”
“ScaleOps automatically optimizes Wiz’s containers in production according to our real-time needs, improving performance even during demand spikes. While dramatically reducing our K8s costs, the hands-free automation freed our teams from dealing with ongoing configurations, which is critical in our rapidly ever-growing environment”
“Before ScaleOps, optimizing workloads was a manual, error-prone process that often led to wasted compute and noisy alerts. Now, resource tuning is automated, data-driven, and always aligned with real usage patterns.”
“ScaleOps drove major cloud cost savings for us. The platform is reliable, easy to deploy, and the support team is exceptional.”
“ScaleOps eliminates the manual effort of constantly tuning resource requests and limits in our Kubernetes clusters. It automatically adjusts workloads to the right size, helping us reduce over-provisioning and keep our cloud costs low.”
“Manually tuning CPU and memory requests or limits across workloads was eating up our engineers’ time. With ScaleOps automating resource optimization at the pod level, we’ve eliminated constant config changes and cut cloud costs significantly.”
“We manage over 200 Kubernetes clusters across our enterprise and ScaleOps has made it significantly easier to optimize resource utilization across all of them. ScaleOps helps keep both infrastructure usage and overall costs well under control.”
“I appreciate how easy it was to install ScaleOps and how it instantly reduced the cognitive load on our application teams, making it much simpler for them to deploy their workloads effectively.”
“ScaleOps drove major cloud cost savings for us. The platform is reliable, easy to deploy, and the support team is exceptional.”
“ScaleOps eliminates the manual effort of constantly tuning resource requests and limits in our Kubernetes clusters. It automatically adjusts workloads to the right size, helping us reduce over-provisioning and keep our cloud costs low.”
“Manually tuning CPU and memory requests or limits across workloads was eating up our engineers’ time. With ScaleOps automating resource optimization at the pod level, we’ve eliminated constant config changes and cut cloud costs significantly.”
“We manage over 200 Kubernetes clusters across our enterprise and ScaleOps has made it significantly easier to optimize resource utilization across all of them. ScaleOps helps keep both infrastructure usage and overall costs well under control.”
“I appreciate how easy it was to install ScaleOps and how it instantly reduced the cognitive load on our application teams, making it much simpler for them to deploy their workloads effectively.”
Run ScaleOps on any Kubernetes Environment
Natively Self-Hosted. Fully Secured.
Instant Value with Seamless Automation