IT automation has expanded to include a wide range of areas, including infrastructure, application development, security, and non-IT operations.
As per Red Hat’s 2022 Global Tech Outlook, CIOs’ financial priorities are expanding, particularly IT automation. Although security, cloud management, and cloud infrastructure are more popular as individual spending categories, automation is becoming more important in each field.
According to the research, the top particular categories for expenditure on automation include security automation and cloud services automation, for instance. Even though the budget line item doesn’t have the term “automation,” it is in fact a funding priority for all projects.
Automation appears to grow and change simultaneously, whether in terms of the underlying technology, IT strategy, business consequences, or other ways. Here are three new automation-related challenges that will be important to watch in the second half of 2022 and beyond.
The scale of edge computing relies on automation
Regardless of whether regarded from an infrastructure POV (consider hybrid cloud and multi-cloud operations), application architecture POV (micro services), security POV (consider DevSecOps), or virtually any other lens, automation is key to the power to scale — reliably, swiftly and securely — distributed systems. The secret to making it work is automation.
Therefore, automation will be an essential component of edge computing. Due to the dispersed nature of edge architectures and systems, automation is quickly becoming a crucial component of how teams will actually manage those systems.
Applying automation to edge computing as part of a hybrid cloud deployment, which puts computing capabilities closer to consumers and data, is a significant development in the automation field. In order to provide better results, a shared automation platform can scale and simplify both edge deployments as well as the remnant of a hybrid cloud architecture.
Like managing containers at scale, controlling edge nodes at scale is challenging the more businesses there are, making it all the more crucial to automate as much operational labor as possible.
When a company has hundreds or thousands of edge nodes, what some may have previously considered a must-have in a small-scale on-prem infrastructure becomes necessary. Scale is at the heart of the edge; therefore, it’s crucial to choose a strategy that minimizes security concerns while making scalability simple.
Also Read: Emerging Automation Trends for Enterprises
IT automation as a career enhancer rather than a career destroyer
Undoubtedly, some of the occupations that people do now will disappear due to automation (generally speaking, not only in the IT sector). It has occurred in the past, is happening right now, and will appear again in the future. Empathetic leaders must address employee security concerns rather than brush them off. However, according to industry experts, automation is also creating new employment, eventually more than it will eliminate.
A current example of this phenomenon is IT automation, which is beneficial for IT professionals despite its negative reputation as a job-killer. Automation is becoming increasingly essential to many IT professions since it touches so many elements of IT.
Automation security, meet automation security
Speaking of operational labor, IT budgets and IT circles are paying close attention to security automation.
To ensure the security of the automation itself, including the tooling, code, settings, and other components, firms should instead use the word “automation security,” which refers to something slightly different and is starting to receive some much-needed attention.
For instance, serverless and micro services designs are based on the flexibility and automation that APIs provide. Still, as APIs grow more pervasive in the IT ecosystems, the identities of the machines that are using those APIs become increasingly crucial.