Applications
Autonomous Resource Management for Applications in Production
Applications evolve constantly. Traffic shifts, features launch, usage patterns change, and resource requirements drift. ScaleOps continuously manages infrastructure for every application in production, optimizing CPU, memory, storage, and scaling behavior, without manual tuning or restarts.
Workloads change, ScaleOps adapts continuously
You size at deploy, then traffic grows and usage shifts while the config stays put.
The gap shows up as degraded performance, wasted spend, and tickets.
Built for Production.
AUTOMATED POD RIGHTSIZING
Resource requests and limits that update continuously, not once
No restarts. No engineering effort to maintain.
Static rightsizing tools give you a recommendation you implement once and forget. ScaleOps treats rightsizing as an autonomous and continuous process, updating configs as workloads change and managing them without restarts.
CONTEXT-AWARE POLICY DETECTION
The right optimization behavior for every workload type
No labels. No annotations. No configuration.
ScaleOps identifies each workload’s type and behavior and applies the right policy automatically. As new services launch, ScaleOps detects and classifies them, so coverage scales with the fleet at zero implementation effort per workload.
NODE AND CLUSTER OPTIMIZATION
Every node optimized. Every cluster running efficiently.
Pod optimization only fixes half the bill.
The instance types in your cluster and the scheduling decisions that place workloads onto them determine what running at scale actually costs. ScaleOps optimizes Karpenter provisioning, manages node lifecycle, routes workloads to Spot where it’s safe, and controls pod placement to minimize fragmentation, autonomously and in real time.
OBSERVABILITY AND COST MONITORING
Full visibility from pod to cluster, cost attribution in real time.
One place, not a separate observability platform.
Infrastructure problems are hard to troubleshoot when signals are scattered across tools, and cost overruns are hard to explain without per-workload attribution. ScaleOps surfaces resource usage, performance signals, cost breakdowns, and optimization impact together, so you can see what each workload is consuming and where spend is going.
Every workload optimized, autonomously.
An application isn’t a deployment. It’s a workload that changes every time code ships.
Resource behavior is dynamic. Startup loads differently than steady state. Traffic patterns change through the day, and so do the conditions that trigger throttling, OOM kills, and evictions. The events that determine whether workloads run reliably don’t follow a schedule and don’t wait for a config review.
Boot-time optimization
Some workloads need significantly more CPU during startup than during normal operation. ScaleOps detects this automatically and temporarily raises CPU requests so pods start quickly and reliably, then reverts to steady-state values once the workload stabilizes.
Real-time burst reaction
When demand spikes, ScaleOps provisions additional CPU and memory based on live cluster signals, so performance, uptime, and SLAs hold under load. No manual intervention required.
Automatic pod healing
ScaleOps detects CPU throttling, OOM kills, stressed nodes, noisy neighbors, and failing health probes, and resolves them as they happen, intercepting performance degradation before it reaches production.
In-place pod resize
ScaleOps uses native Kubernetes In-Place Pod Resize to keep CPU and memory on running production workloads aligned with real demand. No restarts, no evictions, no rollouts.
Ephemeral storage optimization
Ephemeral storage issues silently cause pod evictions, node pressure, and wasted capacity. ScaleOps continuously rightsizes ephemeral storage based on actual usage and prevents storage exhaustion before it triggers an eviction.
Replica threshold optimization
ScaleOps dynamically manages min and max replica counts and triggers based on actual demand and live application behavior, anticipating traffic surges so replicas are already running when the load hits.
Java Optimization
Accurate sizing for JVM-based services. ScaleOps accounts for heap behavior and garbage collection patterns that don’t map cleanly to standard Kubernetes resource configs.
Spot Optimization
ScaleOps continuously learns where each workload’s latency actually starts to degrade and finds the highest threshold it can sustain without breaching SLA, replacing the static guess with the real ceiling.
Here’s what our users have to say about ScaleOps
“Out of all the vendors we tested, ScaleOps’ rightsizing solution was by far the most advanced. Nothing else we evaluated matched the depth or control.”
“ScaleOps helps reduce cloud costs significantly without affecting performance”
“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.”
“ScaleOps makes Kubernetes resource management effortless. Its recommendations are accurate, automation is reliable, and the UI provides instant clarity on where optimization is needed. We’ve significantly reduced wasted resources and improved performance stability since adopting it.”
“ScaleOps solved the challenges we were facing with managing and scaling our Kubernetes workloads. The hands-free automation, combined with 75% cost savings, has been a real game changer for At-Bay.”
“ScaleOps’ automation continuously optimizes our containers on production to meet real-time demand. The 2-minute installation was straightforward, and the immediate value was clear. It’s significantly reduced operational overhead, freeing our teams to focus on more strategic initiatives, while reducing our cloud cost by over 50%”
“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.”
“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.”
“ScaleOps allows us to dramatically reduce costs and keep our cloud bill in check.”
“Out of all the vendors we tested, ScaleOps’ rightsizing solution was by far the most advanced. Nothing else we evaluated matched the depth or control.”
“ScaleOps helps reduce cloud costs significantly without affecting performance”
“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.”
“ScaleOps makes Kubernetes resource management effortless. Its recommendations are accurate, automation is reliable, and the UI provides instant clarity on where optimization is needed. We’ve significantly reduced wasted resources and improved performance stability since adopting it.”
“ScaleOps solved the challenges we were facing with managing and scaling our Kubernetes workloads. The hands-free automation, combined with 75% cost savings, has been a real game changer for At-Bay.”
“ScaleOps’ automation continuously optimizes our containers on production to meet real-time demand. The 2-minute installation was straightforward, and the immediate value was clear. It’s significantly reduced operational overhead, freeing our teams to focus on more strategic initiatives, while reducing our cloud cost by over 50%”
“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.”
“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.”
“ScaleOps allows us to dramatically reduce costs and keep our cloud bill in check.”
“ScaleOps automatically manages our resources and continuously optimizes our production workloads in response to demand. This platform has resulted in significant savings, all through a hands-free experience.”
“Before ScaleOps, managing workload scaling required constant tweaking and monitoring. Now, it’s completely automated. We spend less time managing infrastructure and more time building products. It’s made our Kubernetes environment far more efficient and predictable.”
“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.”
“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. The troubleshooting features are excellent and have proven invaluable when assisting assisting our app teams.”
“ScaleOps automation has improved reliability, helping us maintain consistent application performance even during periods of high demand.”
“ScaleOps drove major cloud cost savings for us. The platform is reliable, easy to deploy, and the support team is exceptional.”
“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”
“Very easy to get started and implement. Great customer support, we have a dedicated Slack channel where we get responses very quickly. ScaleOps keeps adding more and more useful features.”
“Great optimization tool for EKS, awesome team to work with, and easy deployment.”
“ScaleOps automatically manages our resources and continuously optimizes our production workloads in response to demand. This platform has resulted in significant savings, all through a hands-free experience.”
“Before ScaleOps, managing workload scaling required constant tweaking and monitoring. Now, it’s completely automated. We spend less time managing infrastructure and more time building products. It’s made our Kubernetes environment far more efficient and predictable.”
“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.”
“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. The troubleshooting features are excellent and have proven invaluable when assisting assisting our app teams.”
“ScaleOps automation has improved reliability, helping us maintain consistent application performance even during periods of high demand.”
“ScaleOps drove major cloud cost savings for us. The platform is reliable, easy to deploy, and the support team is exceptional.”
“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”
“Very easy to get started and implement. Great customer support, we have a dedicated Slack channel where we get responses very quickly. ScaleOps keeps adding more and more useful features.”
“Great optimization tool for EKS, awesome team to work with, and easy deployment.”
Fits your stack. Doesn’t change it.
Runs alongside your existing stack
Coordinates with HPA, KEDA, Karpenter, and Cluster Autoscaler. Never disables or replaces them.
Nothing leaves your cluster
Fully self-hosted, no sidecars, no data egress. RBAC and namespace boundaries respected.
Built for production
If ScaleOps components go down, your running agents continue unaffected.
Run ScaleOps on any Kubernetes environment
Instant Value with Seamless Automation