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Description
Effortlessly scale your applications on Compute Engine from idle to peak performance using Cloud Load Balancing without the need for pre-warming. You can effectively distribute your load-balanced resources across one or several regions, ensuring proximity to your users while fulfilling high availability demands. With Cloud Load Balancing, your resources can be managed behind a single anycast IP, allowing for seamless scaling up or down through intelligent autoscaling features. The service offers various configurations and is integrated with Cloud CDN, enhancing application performance and content delivery. Moreover, Cloud Load Balancing employs a single anycast IP to manage all your backend instances globally. It also ensures cross-region load balancing and automatic multi-region failover, skillfully redirecting traffic in small increments if any backends experience issues. Unlike traditional DNS-based global load balancing solutions, Cloud Load Balancing provides immediate responses to fluctuations in user activity, network conditions, backend health, and more, adapting to ensure optimal performance. This rapid adaptability makes it an ideal choice for businesses requiring reliable and efficient resource management.
Description
Transform your Kubernetes autoscaling from a reactive approach to a proactive one with PredictKube, enabling you to initiate autoscaling processes ahead of anticipated load increases through our advanced AI predictions. By leveraging data over a two-week period, our AI model generates accurate forecasts that facilitate timely autoscaling decisions. The innovative predictive KEDA scaler, known as PredictKube, streamlines the autoscaling process, reducing the need for tedious manual configurations and enhancing overall performance. Crafted using cutting-edge Kubernetes and AI technologies, our KEDA scaler allows you to input data for more than a week and achieve proactive autoscaling with a forward-looking capacity of up to six hours based on AI-derived insights. The optimal scaling moments are identified by our trained AI, which meticulously examines your historical data and can incorporate various custom and public business metrics that influence traffic fluctuations. Furthermore, we offer free API access, ensuring that all users can utilize essential features for effective autoscaling. This combination of predictive capabilities and ease of use is designed to empower your Kubernetes management and enhance system efficiency.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Beats
Elastic Observability
Google Cloud Platform
Kubeflow
Kubernetes
Kuna Exchange
Microsoft Azure
Nekton.ai
New Relic
Integrations
Amazon Web Services (AWS)
Beats
Elastic Observability
Google Cloud Platform
Kubeflow
Kubernetes
Kuna Exchange
Microsoft Azure
Nekton.ai
New Relic
Pricing Details
$0.025 per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/load-balancing
Vendor Details
Company Name
PredictKube
Country
United States
Website
predictkube.com
Product Features
Load Balancing
Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers
