What is Cloud Automation?
Cloud automation refers to the tools, activities, and processes organizations used to reduce the manual oversight and management of cloud computing workloads and systems.
The goal of this automation is not just to reduce the need to physically manage cloud infrastructure, but also to make it faster, more efficient, and overall more valuable for a company. Cloud systems tend to be complex, and especially as they expand to take over more aspects of organizations’ operations.
Having a dedicated employee or team of employees manually managing cloud systems increases overheads, wastes resources, and means that organizations must divert man hours away from more valued tasks.
Automation includes tasks like setting up and managing virtual infrastructures like servers, networks, and storage clusters, as well as more complex structures like data warehouses.
These processes, while generally not complex when taken on individually, can lead to errors and inefficient deployments when handled manually and without substantial oversight.
By deploying cloud automation strategies, organizations can allow for more requests to be fulfilled on a daily basis, reduce the cost of administration, and make operating virtual servers, networks, and machines significantly easier.
What Can I Use Cloud Automation For?
Today, cloud automation is as necessary as cloud systems are. As our technology stacks become more complex and multi-faceted, managing them manually becomes significantly more difficult. For instance, companies using AWS BI tools require multiple virtual servers and storage clusters operating simultaneously.
Having to create a new instance every time a storage cluster or virtual machine is required would mean having a team member focus most of their attention on deploying, configuring, and maintaining each instance.
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With cloud automation tools, organizations could create parameters to easily deploy and configure these clusters automatically and on demand, saving both time and money.
Similarly, cloud automation works well when it comes to pooled shared resources for computing and analytics. For organizations working on limited space and resources, application performance management tools can help limit overlap of efforts and lower costs by more efficiently distributing and allocating computing resources.
Cloud automation tools can be configured to measure workload and performance, leading to smoother scaling when tasks require it, or reducing resources for background tasks. Similarly, these tools can automatically create new containers, or add storage to clusters to ensure data can always be effectively saved and accessed later on.