Sold by: ScaleOps
Deployed on AWS
All-in-one resource management and optimization platform for Kubernetes
Overview
ScaleOps is the industry-first Kubernetes Optimization Platform that automatically adjusts Compute Resources to changes in real-time, streamlining a new Kubernetes experience for engineering teams.
ScaleOps eliminates 80% of Kubernetes cloud spending, frees engineers from repeated ongoing configurations, and proactively ensures SLAs are always achieved.
Installation takes only 2 minutes, and value is provided immediately. Starting from read-only recommendations to continuous and automatic pod optimization during runtime with zero disruption.
Battle-tested on some of the most critical production workloads in full automation mode. Trusted by industry leaders, such as Wiz, Outbrain and many others!
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Highlights
- Automated Pod right-sizing. ScaleOps continuously analyzes your containers compute usage and vertically scales K8s pods to meet demand in runtime
- Self hosted platform
- Continuously lowers clusters compute costs by looking for opportunities to remove under provisioned nodes, replace expensive nodes with cheaper alternatives, and consolidate pods onto more efficient compute resources
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
ScaleOps Platform Fee | A fixed rate for ScaleOps platform | $4,167.00 |
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we do not currently support refunds, but you can cancel at any time.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By ScaleOps
By Spot
By Pepperdata, Inc.
Top
10
In Analytic Platforms
Top
10
In Application Servers
Top
25
In Container Cost Optimization, Cost Allocation and Accountability, Resource Cost Optimization
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Automated Pod Resource Optimization
Continuously analyzes container compute usage and vertically scales Kubernetes pods to meet demand during runtime with zero disruption
Node Cost Optimization
Identifies opportunities to remove under-provisioned nodes, replace expensive nodes with cheaper alternatives, and consolidate pods onto more efficient compute resources
Real-Time Resource Adjustment
Automatically adjusts compute resources in response to real-time changes in workload demand
Read-Only to Automated Scaling Progression
Supports graduated deployment model starting from read-only recommendations and progressing to continuous automatic optimization
Automated Resource Optimization
Automatic deployment of optimal blend of spot instances, reserved instances, and on-demand compute for autoscaling applications without manual tuning
Container and Kubernetes Infrastructure Management
Serverless infrastructure for Kubernetes, EKS, and ECS with automatic scaling, bin-packing, and right-sizing of pods
Reserved Instance and Savings Plan Optimization
Lifecycle management of reserved instances and savings plans using machine learning and automation to maximize portfolio value and minimize on-demand costs
Cloud Cost Analytics and Visibility
Granular cost analytics with integration capabilities for financial accountability and cost optimization tracking
Real-time Resource Optimization
Patented algorithms optimize compute and memory allocation in real time based on actual usage patterns rather than allocated resources, enabling scheduling decisions that reduce waste across Kubernetes and Amazon EMR clusters.
Automated Workload Scaling
Dynamically tunes Cloud Autoscaler to respond to changing application workloads in real time, automatically adjusting cluster capacity without manual intervention or application code modifications.
Continuous Intelligent Tuning
Provides continuous stream of performance data that enables optimization of node and pod performance automatically, eliminating the need for manual application tuning or recommendation implementation.
Multi-Platform Support
Supports optimization across Amazon EKS, Spark, Amazon EMR on EKS, and Amazon EMR environments with unified resource management capabilities.
Utilization and Performance Metrics
Increases resource utilization up to 80%, improves application performance by 20% on average, and reduces infrastructure costs by 30% on average through automated optimization.
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