The 5 operations that every cloud architect should automate

The cloud offers many advantages to the application development process. One of them is the ability to automate critical actions that are otherwise done by hand from time to time. Therefore, cloud architects can save a lot of time and effort by automating tasks and can spend their time and effort on other, more relevant aspects of their work. Butwhat are the cloud tasks that can be automated And what are among the main ones for a cloud architect? Here we show you five of them

The scaling

Scaling automation is perhaps the most basic and at the same time the most necessary of all that can be done when using the cloud. Whether it’s automatic scaling of server resources or elastic scaling built into cloud-native services like Amazon S3, scaling is one of the main parts of the cloud. In fact, the possibility of having a scalable infrastructure is one of the main reasons why companies and professionals start using the cloud.

Of course, it is necessary to take into account that the scaling automation requires rapid launch of new server instances. It also needs that there are no barriers to be carried out. For this reason, this automation cannot be carried out independently, but rather another one, related to the servers, must be done at least.

Server provisioning

Before the arrival of the cloud the provisioning a servernamely, its configuration for use in a networkIt could take several days. Or even months. But the advent of the cloud and its automation capabilities allow you to provision a fully functional and operational server instance, and have all the software and services you need ready to use in just minutes.

Automated server provisioning is one of the keys to automated scaling, as we have seen. But it’s also key for self-healing infrastructures. Removing a failed or compromised server instance, and letting automation replace it with a new server instance, also changes the way you troubleshoot in the cloud. This capability is very important to improve the time to resolution of many types of problems and failures.

Automated server provisioning works similar to launching new virtual machine instances in a compute service like Amazon EC2. Also new container instances in a Kubernetes environment. In either case, automation improves both speed and reliability in releases and escalations. Also in the repair of server instances, basic for most applications in the cloud.

Another benefit of automated server provisioning is improved availability. Provisioning automation means that a smaller number of larger servers can be replaced by a larger number of smaller servers. With this model, the availability of an application can be greatly improved and the impact of failures reduced.

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