Proactive auto|scaling technique for web applications in container ...

Azure Well-Architected Framework perspective on Azure App ...

Strive for stateless applications whenever possible. Reliably scaling state with new instances can increase complexity. Consider an external ...

Predictive Autoscaling in Kubernetes with Keda and Prophet - Medium

Predictive autoscaling using Prophet and Keda allows Kubernetes to scale applications proactively, based on forecasted workloads rather than reacting to real- ...

Optimizing resource allocation using proactive scaling with ... - OUCI

Tang, Fisher: An efficient container load prediction model with deep neural network in clouds, с. ... Methods, Applications, and Challenges (VSI-xai). Ashutosh ...

AWS re:Invent 2022 - Scaling containers from one user to ... - YouTube

... Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and ...

Evaluation of AI Techniques to Implement Proactive Container Auto ...

Autoscaling, also referred to as auto-scaling or automatic scaling, is a cloud computing technique for dynamically allocating computational resources.

Mastering the Cloud: Strategies for Building Seamless Applications

Orchestration tools like Kubernetes, Docker Swarm, or AWS Elastic Beanstalk automate container orchestration, service discovery, and scaling.

Implementing Auto-Scaling for Improved Performance: A Backend ...

To achieve auto-scaling, I developed a custom bash script ( scale.sh ) that periodically monitored the CPU usage of my Docker containers and ...

Efficient Evolutionary Optimization using Predictive Auto-scaling in ...

Scaling), a proactive, application-specific auto ... Miguel-Alonso, J. A. Lozano, A review of auto- scaling techniques for elastic applications in ...

Adaptive microservice scaling for elastic applications - CORE

If we are trying to predict the behaviour of a complex interconnected system, for example a microservices based web application, then we would need a technique.

Kubernetes Autoscaling and Best Practices for… | stormforge.io

Autoscaling involves the dynamic adjustment of resources: cluster scaling manages overall capacity to meet demands, horizontal scaling changes pod counts based ...

Architecting Kubernetes clusters — choosing the best autoscaling ...

As your application receives more traffic, you could have the autoscaler adjusting the number of replicas to handle more requests. The Horizontal Pod Autoscaler ...

Docker Container Reactive Scalability and Prediction of CPU ...

In addition, proactive scaling is performed using ARIMA time series analysis model. The public cloud Amazon Web Services is used to perform ...

A study on performance measures for auto-scaling CPU-intensive ...

However, this works proved also the poor I/O throughput of containers, that is prohibitive for network intensive applications. ... tech- nology data storage level ...

Kubernetes Autoscaling - Nubenetes

Autoscaling · Introduction · Cluster Autoscaler Kubernetes Tool · HPA and VPA · Cluster Autoscaler and Helm · KEDA Kubernetes Event Driven Autoscaling · Cluster ...

Autoscaling in Serverless Computing : Taxonomy and ...

A review of auto-scaling tech- niques for elastic applications in cloud envi- ronments. ... Research on auto-scaling of web applications in cloud: ...

How Machine Learning can be used for AI-powered Autoscaling

I called this approach “proactive autoscaling” because it does not only react to the current and past application workload but anticipate the ...

whats the point in autoscaling containers - docker - Server Fault

The web site service could be scaled to more containers. If more compute is needed in aggregate, more nodes could be added to the cluster.

73 Auto-Scaling Web Applications in Clouds: A Taxonomy and Survey

For example, current workload prediction and oscillation mitigation techniques can be directly applied to container-based systems as they are not dependent.

Autoscaling Pods on an On-Premise Kubernetes Infrastructure QoS ...

These architectures, based on containers, have facilitated the efficient development of complex SaaS applications. ... telemedicine techniques, web-based ...

Proactive-Reactive Global Scaling, with Analytics - Hal-Inria

In this work, we focus on by-design global scaling, a technique that, given a functional specification of a microservice architecture, or-.