Kubesimple.com Website Review

Kubernetes without the has*le Get high availability and a secure app without being a K8S expert. Deploy your applications on Kubernetes using best practices for high availability and secure deployments. When you outgrow us, do*nload your configuration and run it on your own cluster. Get started quickly without being a K8S expert. Automatically configured ingress, a database, and replicated local disk get you up and running quickly without studying the Kubernetes As your app grows, your database and app is automatically deployed for high availability, point in time backups, and scalability. When you outgrow kubesimple or want more flexibility, do*nload your Helm charts and deploy them on your own cluster. Zero lock-in. Guide to setup and configuration. You can present below a guide and a description of how your system configuration works and add some Spend your time shipping, not dealing with infrastructure. Let us deploy your app on Kubernetes using industry best practices in a Our plans grow as you do. Start with simple app hosting and grow to a highly available configuration without doing anything. Have a question that's not answered here? Email us at [email protected] Every container you deploy gets a memory and CPU resource allocation. You can specify these in your .kubesimple file or we'll pick a sensible default for you. The total resource allocation for all containers you schedule cannot exceed your plan limit. To make your app highly available, we will run multiple processes (pods and deployments) and load balance your traffic between them. If your app fails, we will start a new one. Databases in a highly available configuration feature automatic failover and periodic backups. In enterprise (scaling) plans, we deploy your app and database across multiple regions so that an outage in any one region When you deploy your app via a .kubesimple file, it is converted to a Helm chart using Kubernetes best practices for security and availability. You can always do*nload this chart and use it to deploy your app on your own cluster with full control over the configuration.