Run your Kubernetes Workloads on Auto-Pilot
The ScaleOps platform simplifies Kubernetes resource management by automatically adjusting nodes and pods to match real-time demand
Unlimited Clusters
Unlimited Users
All continuous optimization features
Automated pod right-sizing
Full cost visibility with insights
Workload troubleshooting and analytics
Multi-cluster management
30 days free trial with full access to everything
Enterprise plan
Free trial →Everything in “Growth” Plan
Personalized onboarding
SSO Integration
RBAC Integration
Private Slack/Teams channel for support
Guaranteed SLA
30 days free trial with full access to everything
Designed and developed with DevOps in mind
Automatic Pod Rightsizing
Dynamically optimize pod requests and limits in runtime to always match real-time demand, to eliminate over-provisioned and under-provisioned workloads without downtime.
- Automatic integration with HPA and KEDA – Optimize vertical scaling for workloads with horizontal scaler without manual intervention.
- Seamless GitOps compatibility – Integrates effortlessly with any GitOps workflow, including popular tools like ArgoCD and Flux.
- Auto-healing and Fast reaction – Proactive and reactive mechanisms to automatically mitigate issues caused by sudden unexpectable bursts and stressed nodes, ensuring stability and performance.
Node Optimization and Consolidation
Continuously optimize node selection and improve resource allocation using advanced bin-packing capabilities.
- Node consolidation optimization – Continuously reduce the number of nodes and enhance any cluster auto scaler, including Karpetner.
- Advanced bin-packing for unevictable pods — Continuously optimize pod scheduling and placement with PDBs and do-not-evict annotation, enabling nodes to scale down and dramatically reduce cost.
Smart Scaling Policies
Allow different resource optimization strategies for every workload according to their unique needs
- Zero onboarding time using context-aware and automatic policy detection – Out-of-the-box policies and automatic policy selection for any workload, including workloads needing special considerations (e.g., Kafka, RabbitMQ, Batch Jobs, CronJobs, Java-based workloads).
- Support any workload type – including custom workloads based on CRDs, labels, and annotations, including Spark and Flink workloads, Jenkins Jobs, CircleCI Jobs, Argo Rollouts, and more.
- Customizable and configurable policies – to allow your teams to define and set their desired behavior.
Unified Cost Monitoring
Allowing you to see allocated spend across all native Kubernetes concepts and get a breakdown of cost and resource allocation
- Break down expenses by namespace, labels, annotations, clusters, and more across major cloud providers or on-prem Kubernetes environments.
- View costs across multi-cluster and create detailed cost reports
- Regularly monitor and accurately measure the consumption of each resource to ensure efficient usage and identify areas for improvement.
Your workloads, for 80% less
Disclaimer: a 30-minute demo might blow your mind
30 day free trial
The Bottom Line
The right compute at the right time
Worry less about your cloud infrastructure
Easy and simple to use
Give engineers their time back with automation that works 24/7
Maximize DevOps productivity
Onboard in minutes, and start saving immediately
F.A.Q.
What level of automation does the platform provide?
ScaleOps was developed to eliminate the need for any manual configuration, so engineers can put their workloads on auto-pilot and achieve the most optimal utilization of compute resources.
Is ScaleOps secured?
ScaleOps is not a SaaS platform, it is a light agent installed locally on the Kubernetes cluster, so all the data is stored locally.
Can ScaleOps integrate with Open-source auto-scalers?
Yes! ScaleOps seamlessly integrates with Karpenter, Cluster auto-scaler, HPA, or Keda to deliver that extra layer of optimization.
Here’s what our customers think
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
ScaleOps’ automation optimizes our online applications in production to efficiently meet real-time demand. The significant reduction in cloud costs and elimination of repeated manual work have freed our teams, enabling them to focus on core projects. The fast time to value, particularly after the quick installation, has been immediately beneficial. Additionally, the availability of a 24/7 responsive team of experts is extremely valuable.
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.
Engineers should prioritize working on business logic instead of continually monitoring and configuring infrastructure settings, such as CPU and Memory requests/limits adjustments. Automation of this aspect is essential, and ScaleOps aids in achieving that, resulting in substantial cost savings on cloud instances and significant time savings
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%
