Wave Autoscale - Kubernetes AI-Driven Autoscaling (BYOL)

Wave Autoscale dynamically scales your infrastructure in real-time, ensuring you only pay for what you actually need, never too much or too little.

Over 20% Cost Savings

Experience the Unique Features of Wave Autoscale Automatically respond to traffic surges while achieving up to 20% more cost savings compared to traditional Kubernetes autoscaling. With real-time, machine learning-based auto-scaling, improve average response times and resource efficiency. Test results show a throughput of 98.98% and cost savings of over 20%.

• Time-Consuming Cloud Management

  Developers are often required to write and maintain autoscaling logic in Kubernetes manifests, which is inefficient, error-prone, and takes time away from core development tasks. Managing scaling configurations manually is complex and does not adapt well to dynamic workload demands.

• A few minutes of delay that can be critical to the business.

  When an unexpected traffic surge occurs, manually scaling or slow auto-scaling responses can lead to downtime.

• When Auto-Scaling Alone Isn't Enough

  Manually managing traffic or improper integration of auto-scaling with traffic solutions can lead to service disruptions or performance degradation.

• Fast and Convenient One-Click Autopilot

  Execute with just one click. Machine learning detects traffic surges in real time and automatically scales the necessary resources within seconds.

• Smartly, Just As Much As Needed Right Sizing

  Wave Autoscale analyzes resource usage in real time, automatically predicting and allocating the necessary resources. This allows you to achieve both cost savings and performance optimization simultaneously.

• Data Collection in Seconds Metrics Agent

  The Wave Autoscale Agent is optimized for auto-scaling. It rapidly collects data in seconds, allowing you to monitor it in real time on the dashboard.

• Enhancing Stability Traffic Protection

  Manage not only auto-scaling but also traffic management automatically from a single console. Connect various specialized traffic control solutions to Wave Autoscale.

STCLab Inc (https://cloud.stclab.com )

Traffic Management Experts Trusted by Over 600 Customers: STCLab STCLab is dedicated to providing traffic and resource management solutions so companies can focus on their core business and enhance customer experience.

• 600+ Experience in stabilizing services for a diverse range of clients, including e-commerce, finance, public sector, and corporate groups
• 97% Proven service stability with the highest market share in South Korea`s virtual waiting room sector