Smart Scaler, utilizing Generative AI, not only guarantees your applications' SLA commitments, like response time and error rate, but also alleviates DevOps headaches associated with tuning application performance. It reduces cloud costs effectively by predictively scaling Kubernetes application resources at the precise moments they are needed, streamlining operations and enhancing efficiency.
Key Benefits:
SLA Guarantees: Smart Scaler guarantees application SLAs (response time, error rate, etc.), ensuring consistent, high-quality user experiences.
Cost Efficiency: Precise, just-in-time scaling of K8s application resources leads to significant cost savings by eliminating unnecessary resource allocation.
Predictive Autoscaling: Accurately predicts pod requirements, maintaining service availability without over-provisioning, thus ensuring SLA adherence.
Complete Automation and Employee Wellness: Automates resource scaling, reducing the need for constant team monitoring, thus promoting a healthier work-life balance for DevOps/SRE/Performance teams.
Intelligent Remediation: With AI and Reinforcement Learning, Smart Scaler proactively addresses potential issues, keeping services uninterrupted even under high load.
Environmental Impact: Reduces carbon footprint through efficient resource utilization, contributing to eco-friendly IT practices.
Features:
Data-Driven Insights: Harvests application and infrastructure performance data from various sources (Prometheus, Datadog, NewRelic, etc.), enabling informed scaling decisions.
Predictive Capacity Planning: Utilizes historical performance data to forecast pod capacity needs, ensuring optimal resource allocation.
Advanced Modeling: Develops sophisticated models of application behavior and traffic patterns with Gen AI and Reinforcement Learning, fine-tuning microservice scaling for SLA achievement.
Autonomous Scaling: Predictively adjusts resources in response to application needs, addressing event-based traffic spikes effectively.
Event Based Scaling: - Intelligently adjusts Kubernetes resources in real-time, responding to specific events such as traffic spikes or workload increases (games, marketing campaigns, sports betting events etc.) ensuring optimal performance and cost efficiency without manual intervention.
Easy to use SaaS UI: Easy to use Interface and Hands-free AI for Autoscaling frees up key Devops personnel from SLA concerns and performance tuning, streamlining operations.
The first Horizontal Pod Autoscaler driven by Generative AI.
Uses AI-based autoscaling to maintain application SLA's, alleviate DevOps headaches associated with application tuning, and save cloud costs by scaling resources as needed.
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 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.
You license Smart Scaler in blocks of 32 vCPUs. Your contract covers a set number of these blocks, and you pay for each block included in your commitment. Pricing scales with how many vCPU blocks your Kubernetes workloads need. The overage dimension handles usage beyond your contracted amount. If your vCPU use exceeds the blocks you committed to, you pay for the extra units separately. Together, these two dimensions let you commit to a baseline capacity while staying covered when demand rises above it.
Top-of-mind questions for buyers
What counts as one vCPU block for billing purposes?
Smart Scaler is licensed in blocks of 32 vCPUs. Each block covers 32 virtual CPUs across the Kubernetes workloads it scales. You count the total vCPUs under management, then round up to the number of 32-vCPU blocks needed. Your contract reflects that block count.
What happens if my vCPU usage rises above my contracted blocks?
Usage beyond your committed blocks bills under the overage dimension. You pay separately for each additional unit above your contracted amount. This keeps your workloads covered when demand grows past your baseline, without changing the blocks you originally committed to.
Which dimension drives most of my bill — the vCPU blocks or overage?
The contracted vCPU blocks form your baseline cost and typically drive most of the bill. Overage charges apply only when usage exceeds that committed capacity. Both can appear on the same invoice, but overage adds cost only during periods above your committed blocks.
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Month-to-month and yearly customers can cancel at any time. However, there are no partial refunds available for the remainder of the term, post-cancellation.
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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.
Email ticketing by emailing support@avesha.io. Emails tickets are triaged via Freshdesk.
Community support via Smart Scaler Slack channel.
Support is available 24x7. We have support engineers in the US and India to provide round-the-clock support.
support@avesha.io
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.
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