Wave Autoscale: Autoscaling Management (Container, Team Pricing)
Linux/Unix
Linux/Unix
Product Overview
Based on infrastructure monitoring and application metrics, adjust traffic and scaling across multiple layers simultaneously.
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Autoscaling Challenges
- Increased Needs of Automation: With FinOps being added to scope, the time required for each task has become even more burdensome for SREs. Based on such situations, there is a growing effort to automate resource scaling & traffic control.
- Trade-off: The trade-off between service reliability and cost-saving is evident when attempting to reduce resources to cut costs, as it entails the risk of decreased system stability due to unforeseen future traffic spikes or sudden resource shortages.
- The limitation of Default Autoscaling Feature: The limitations of scaling dependent on infrastructure metrics lead to a reactive approach. This results in both cost inefficiencies and stability issues.
Resource Scaling with No Downtime Risk
Wave Autoscale synchronizes traffic and scaling control across components. Manage control of traffic and eliminate risks in resource scaling by simultaneously handling its functionality.
Optimized Scaling Using Diverse Indicators
Control resources through various monitoring metrics and event schedules that can predict incoming traffic volume. If you already have monitoring platform in use, they can be easily and quickly integrated.
Make Your Resource Management Strategy Real
Wave Autoscale helps realize business strategies by addressing stability issues that may arise during the scaling process.
- Unlimited Traffic Strategy: We take a scaling-first approach to respond to all traffic changes, and only handle traffic surge to prevent failures.
- Fixed Budget Strategy: We scale according to traffic changes, but control traffic and protect infrastructure when we reach the maximum budget.
- Limited Sales Strategy: Because we only sell a limited amount, we provide service through traffic control rather than scaling.