Wave Autoscale Web Console

3.0.1-redhat

3.0.1-redhat-amd64

Overview

Description

Wave Autoscale Web Console provides a comprehensive web-based interface for managing Kubernetes Day 2 operations. Built with Next.js and React, it delivers real-time visibility and control over autoscaling, resource optimization, and performance insights.

Key Features:
- Autopilot ML-based autoscaling management with performance and cost optimization strategies
- Smart Sizing for real-time resource optimization of Pods
- Wave Flow adaptive traffic shaping configuration
- Insights Dashboard with reliability, performance, and cost efficiency analytics
- Real-time monitoring of cluster resources, workloads, and metrics
- Alert management and notification configuration

The Web Console integrates with the Wave Autoscale Core engine (port 3024) and Wave Intelligence ML service (port 3026) to provide end-to-end Kubernetes optimization delivering 2x faster scaling and up to 40% cost savings.

Technology Stack: Next.js 15, React 19, Ant Design, Tailwind CSS, TypeScript

Products using this container

Wave Autoscale

Intelligent workload management for OpenShift that automates Day 2 operations—ML-based scaling, smart rightsizing, and traffic shaping to cut costs 40% and eliminate manual toil.

Containerized application

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Technical information

General information

The following information was extracted from the containerfile and other sources.

Summary	Wave Autoscale Web Console - Management UI for Kubernetes autoscaling
Description	Wave Autoscale Web Console
Provider	STCLAB
Maintainer	team@waveautoscale.com

Technical information

The following information was extracted from the containerfile and other sources.

Repository name	wave-autoscale-web-console
Image version	3.0.1
Architecture	amd64
Usage	s2i build <SOURCE-REPOSITORY> ubi9/nodejs-20:latest <APP-NAME>
Exposed ports	3025:http

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Using OpenShift secrets

First, you will need to add a reference to the appropriate secret and repository to your Kubernetes pod configuration via an imagePullSecrets field.

Then, use the following from the command line or from the OpenShift Dashboard GUI interface.

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Use the following command(s) from a system with podman installed

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Using OpenShift

For best practices, it is recommended to use registry tokens when pulling content for OpenShift deployments.

Using podman login

Use the following command(s) from a system with podman installed

Using docker login

Use the following command(s) from a system with docker service installed and running

Description

Wave Autoscale Web Console provides a comprehensive web-based interface for managing Kubernetes Day 2 operations. Built with Next.js and React, it delivers real-time visibility and control over autoscaling, resource optimization, and performance insights. Key Features: - Autopilot ML-based autoscaling management with performance and cost optimization strategies - Smart Sizing for real-time resource optimization of Pods - Wave Flow adaptive traffic shaping configuration - Insights Dashboard with reliability, performance, and cost efficiency analytics - Real-time monitoring of cluster resources, workloads, and metrics - Alert management and notification configuration The Web Console integrates with the Wave Autoscale Core engine (port 3024) and Wave Intelligence ML service (port 3026) to provide end-to-end Kubernetes optimization delivering 2x faster scaling and up to 40% cost savings. Technology Stack: Next.js 15, React 19, Ant Design, Tailwind CSS, TypeScript

Description

Products using this container

Wave Autoscale

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Using OpenShift secrets

Using podman login

Using docker login

Using OpenShift

Using podman login

Using docker login

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Wave Autoscale Web Console

Description

Products using this container

Wave Autoscale

Published

Release category

Size

Digest

General information

Technical information

Using OpenShift secrets

Using podman login

Using docker login

Using OpenShift

Using podman login

Using docker login