Scaling applications to handle increased traffic and demand is a crucial aspect of any production environment. Kubernetes, a popular open-source platform for managing containerized workloads and services, offers a powerful feature called the Horizontal Pod Autoscaler (HPA) for this purpose.…
Kubernetes
Unlocking Next-level Performance: Scaling from VMs to Kubernetes
Introduction Transitioning from Virtual Machines (VMs) to Kubernetes is akin to moving from traditional housing to smart, automated homes. This shift can significantly enhance the performance, scalability, and management of applications. In this articles, we’ll explore and learn the best practices of transitioning from Virtual Machines (VMs) to Kubernetes,…
Data Management in Kubernetes
Kubernetes has become the go-to solution for container orchestration, simplifying the deployment, scaling, and operations of application containers. However, managing data in Kubernetes can be a bit challenging due to its ephemeral nature. This post will delve into various strategies and tools that can be employed to handle data effectively…
How to Optimize Kubernetes for Reliability and Cost-Efficiency
This article explores several strategies to help you get the most out of your Kubernetes environment.…
AWS EKS and CTO.ai for Kubernetes Management
Introduction Managing Kubernetes can be a complex task, but the advent of platforms like Amazon's Elastic Kubernetes Service (EKS) and CTO.ai have significantly simplified the process. EKS provides a managed environment to deploy, manage, and scale containerized applications using Kubernetes, while CTO.ai offers seamless continuous integration and delivery…
Scaling Dynamic Workloads with GKE and CTO.ai
Google Kubernetes Engine is a managed Kubernetes service that provides a platform to deploy, manage, and scale containerized applications using Google Cloud resources. When combined with CTO.ai, businesses can easily scale dynamic workloads efficiently and effectively.…