The emergence of cloud computing services like E2E Cloud has made it convenient for enterprises to purchase higher compute resources and storage at a reasonable cost. However, configuring and deploying workloads on any cloud platform has remained a manual and time-consuming process. This includes cloud infrastructure-related tasks like configuring a virtual machine or VM, setting up a VM cluster, or balancing loads across VMs.
Overall, cloud automation offers multiple benefits, including lower operating costs, faster deployment, and reduction in manual intervention. The question remains – how can you automate a cloud server on the E2E Cloud? Let us see that in the following sections.
The emergence of cloud automation tools
To automate manual or repetitive tasks, IT enterprises are now adopting various cloud automation and orchestration tools that are easy to install and configure in any complex cloud environment.
While cloud automation involves performing individual tasks in any cloud process, cloud orchestration tools go a step ahead and schedule each of these individual tasks so that they are executed in the correct order. For instance, consider a cloud platform consisting of three cluster nodes – for running an application, database, and load balancer. Cloud orchestration would automatically schedule and execute the tasks involved, namely, starting the database, powering the nodes, connecting the nodes to the database, and finally configuring the load balancer.
Among the leading cloud orchestration tools is Kubernetes, efficient in automating deployments, application scaling, and managing containerized applications. E2E Kubernetes is one such complete solution that can help deploy and automate a server cluster in a minute.
Next, let us take a brief overview of E2E Kubernetes – and how easily you can automatically launch and deploy an E2E Kubernetes cluster.
Introducing E2E Kubernetes
E2E Kubernetes primarily provides a complete framework for running a distributed system on your cloud network. The Kubernetes cluster comprises a Master and multiple Worker nodes.
- The Master node functions to manage and control the Worker nodes in the Kubernetes cluster – using the following components:
- Kube-APIServer is the frontend component for the cluster.
- Kube-Controller-Manager that controls the running cluster.
- Kube Scheduler is used to schedule all the worker node activities based on occurring events.
- The Worker nodes are controlled by the Master node and can be added to an existing and running Kubernetes cluster. While deploying any worker node, you need to provide the ONEAPP_K8S_ADDRESS information of the master node.
Launching the E2E Kubernetes Cluster
You can configure and launch an E2E Kubernetes cluster easily from your E2E account – following the main steps given below:
- Launch your master node.
- Next, launch your worker node using the following details of the master node.
- After launching your master and worker node, the next step is to access your E2E Kubernetes cluster remotely. To do this, you first need to install the kubectl CLI tool on your system.
- Access the E2E Kubernetes dashboard from a remote system.
- Finally, sign into and explore your Kubernetes cluster from your dashboard – and deploy all your applications.
Thanks to its ease of use, Kubernetes is preferred on most public cloud premises, and is suited for running workloads of practically any size on the cloud. Next, we will see another cloud automation feature, namely – E2E Application Scaling.
About E2E Application Scaling (EAS)
In addition to providing automated cloud orchestration using Kubernetes, E2E Application Scaling or EAS is another automation feature that dynamically allows you to increase cluster nodes to cater to varying workloads. Among its capabilities, EAS is integrated with the Load Balancer utility that can automatically add (or remove) backend cloud servers.
Additionally, application scaling allows you to define scale groups that can dynamically add (or remove) compute nodes from the cluster.
How does Application Scaling work with load balancing on the E2E Cloud? This involves the following two steps:
- Defining the scale group and setting it to Running state.
- Setting up the load balancer and the defined scale group.
Free to use on the E2E cloud platform, application scaling can thus handle automatic launching and termination of compute nodes – according to the configured scaling policy.
For any successful development project, automation is a key component used in the design, development, and testing phases. Among India’s leading cloud computing platforms, E2E Cloud delivers a fully functional Cloud Operations platform – powered by GPU cloud servers and cPanel cloud servers.
Our automated Cloud Operations platform takes care of your IT infrastructure operations – while you focus on your business applications and services. Do not wait any longer! Get in touch for your own customized cloud automation solution. Call us or sign up on our website today.