Do you use Red Hat’s Ansible Automation Platform (AAP) to automate, scale, and manage your IT across hybrid cloud, physical, and edge environments? If so, you can now unlock even greater value thanks to the platform’s expanding AI capabilities. Today, the AI in your IT environment needs to provide not only insight but also significant added value, so the combination of AI and automation is becoming increasingly important.
Red Hat‘s Ansible Automation Platform already includes the AI-driven chatbot Ansible Lightspeed, which can help users generate playbooks, among other tasks. Now Red Hat is going a step further by integrating AI into the platform through a Model Context Protocol (MCP) server, making the Ansible Automation Platform even easier to use and manage.
From now on, you simply ask
“Users no longer have to manually search through and modify items in playbooks on the Ansible Automation Platform,” says Dennis Grigaliunas, Sales Engineer at Piros. “This represents the next step in the practical use of AI within IT operations. For example, if you want to know whether a playbook already exists to restart a web service, or if you need one created, you can now simply ask the integrated AI chatbot.” The MCP server translates your requests into actions that can then be executed within the platform.
“The integration of AI significantly improves the usability and the speed at which you can create, modify, and search playbooks,” says Angelo Jacobs, Business Development Manager at Piros. “At the same time, it lowers the barrier to working with AAP by reducing the amount of technical knowledge required. All you really need is the appropriate permissions.”
The tip of the iceberg
These developments sound impressive, yet they are just the first wave of new possibilities in AAP resulting from the integration of AI. The new AI chatbot also integrates seamlessly with other platform features, including Event-Driven Ansible (EDA). EDA actions occur automatically in response to an event, rather than at fixed times or through manual intervention. Think of a playbook that is automatically executed as soon as a server fails or a suspicious login occurs.
“The AI chatbot in the platform knows your IT environment inside and out and can help determine the most appropriate actions when a specific event occurs,” continues Grigaliunas. “It can also help you to come up with creative solutions in challenging situations.”
And this is only the beginning. The true power of artificial intelligence emerges when you take it a step further. “If companies not only integrate AI into their IT environment but also combine it with automation, AI goes beyond providing insights to actually executing the necessary actions,” explains Jacobs. “That’s a significant step toward the self-healing IT environment, where AI automatically detects anomalies and corrects them.”
A key step in your AI journey
Managing IT environments is becoming increasingly complex. Hybrid clouds, security and compliance requirements, data protection obligations, and sovereignty concerns all add to the challenges. AI can automate many of the processes involved, and companies are increasingly recognizing its benefits.
“At the beginning of your AI journey, you’ll likely struggle with quite a few things,” says Jacobs. “You must define use cases and train AI models despite a shortage of storage and GPUs. Then there is the issue of cloud sovereignty. But once those foundations are in place, the logical next step is to combine AI with automation. That’s when AI truly begins to deliver real value in IT.”
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