Amazon Web Services has introduced a new AI-powered tool called DevOps Agent, designed to help engineering teams detect and recover from system outages more quickly. The tool, launched on Tuesday, uses artificial intelligence to analyze data from third-party monitoring platforms like Datadog and Dynatrace to predict the root cause of technical issues. Swami Sivasubramanian, vice president of agentic AI at AWS, said the tool is built to support site reliability engineers (SREs), who are responsible for maintaining the availability and performance of online services. Instead of waiting for on-call staff to manually investigate problems, DevOps Agent automatically assigns tasks to AI agents that evaluate different possible causes. By the time human engineers join the incident response, the system already provides a preliminary report with likely root causes and recommended fixes. The tool is now available in preview, with full commercial use expected to begin soon. AWS said customers can sign up to test it today ahead of the official launch. Commonwealth Bank of Australia has already tested the DevOps Agent and reported that it identified the source of a complex outage in under 15 minutes—something that would have taken a seasoned engineer several hours to resolve, according to AWS. The AI system leverages Amazon’s in-house large language models as well as models from other providers, the company said. It’s part of AWS’s broader strategy to integrate generative AI into its cloud services, not just as a standalone product but as a tool that enhances developer and operations workflows. This move follows a growing trend among major cloud providers to offer AI-driven solutions for software development and system management. Microsoft’s Azure introduced an SRE Agent in May, and startups like Resolve and Traversal have also launched AI assistants tailored for SREs. Amazon has been expanding its software offerings beyond raw infrastructure since the mid-2000s, when it pioneered cloud computing with services like EC2 and S3. Since the rise of generative AI in 2022, AWS has accelerated its efforts to show how AI can boost developer productivity. In the summer, it launched Kiro, a “vibe coding” tool that generates and edits code from natural language prompts. In November, Google introduced Antigravity, a similar AI coding assistant, while Microsoft continues to market GitHub Copilot as a core part of its developer ecosystem. As the competition intensifies, AWS’s DevOps Agent represents another step in its mission to embed AI deeply into the cloud experience—helping enterprises respond faster to disruptions and improve system reliability.