Sold by: Avesha
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Track, attribute, and enforce Kubernetes resource usage limits accurately across clusters, providing team-based visibility, precise chargeback, and accountability in multi-cluster, shared resource environments.
Overview
Track Kubernetes Costs Across Clusters with Precision and Transparency Using KubeTally
In Kubernetes environments, where applications are distributed across datacenters and clouds, and multiple teams share resources across clusters, tracking and attributing resource usage accurately can be a challenge. KubeTally provides a precise chargeback solution that ensures teams are accountable for their resource consumption, even in multi-cluster and shared resource environments with dedicated nodes.
How it Works
KubeTally is built on KubeSlice's multi-cluster management capabilities, giving you accurate usage tracking across clusters. Teams can reserve node types, and KubeTally creates isolated slices for each team to ensure that resources like CPU, memory, PV, and load balancers are correctly tracked. This provides a clear, real-time dashboard of resource consumption, enabling accurate cost allocation and billing per team. Platform leaders can also set usage limits and resource requests per team, ensuring that each team adheres to the agreed-upon consumption metrics.
Key Features
- Reserve and track costs for dedicated resources.
- Accounts for ingress/egress LB costs.
- Detailed tracking of CPU, memory, PV, and load balancer costs in shared clusters.
- Aggregates resource costs across clusters.
- Set Limits and Requests per team to track and enforce responsible usage
Benefits
- Accurate cost allocation for teams.
- Optimizes cloud resource management efficiently.
- Enhances transparency in cost tracking.
- Provides real-time resource utilization insights.
Highlights
- Accurate Multi-Cluster Chargeback: Aggregates and attributes costs across Kubernetes clusters with precision.
- Team-Based Enforcement: Tracks and enforces resource usage limits for transparent accountability.
- Comprehensive Cost Insights: Monitors CPU, memory, storage, and load balancer costs for actionable cost control.
Details
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Delivery method
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on contract duration. 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. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Dimension | Description | Cost/12 months |
|---|---|---|
Kube Tally base contract, includes up to 500 vCPUs peak/month | KubeTally is licensed/priced based on the peak number of vCPUs used per month (base contract 500 vCPU's @ $1 ea). | $6,000.00 |
Kube Tally Freemium | Kube Tally freemium version (unsupported) | $0.00 |
Vendor refund policy
Customers can cancel at any time. However, there are no partial refunds available for the remainder of the term, post-cancellation.
Legal
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Delivery details
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Resources
Support
Vendor support
Our initial support options are:
- PAID ONLY - Online Support: Open the support page at https://avesha.io/support and click on the "Help" icon at the bottom right corner of the website to open a new ticket.
- PAID ONLY - Email ticketing by emailing support@avesha.io . Emails tickets are triaged via Freshdesk.
- Freemium and paid - Community support via Smart Scaler Slack channel.
Support is available 24x7 for paid subscriptions only. We have support engineers in the US and India to provide round-the-clock support.
AWS infrastructure support
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