Incident response, crucial in addressing system disruptions, traditionally involves manual processes. Harness seeks to revolutionize this with its new incident response service, launched as a module on its platform. Originating in 2017 with a focus on CI/CD automation for DevOps, Harness has evolved into a comprehensive software delivery platform, breaking into agentic AI in 2024 to support software development.
The introduction of Harness Incident Response aims to expedite incident resolution by leveraging agentic AI technology. This initiative builds on the company’s AI agent architecture to provide autonomous assistance beyond conventional alerting methods. By offering dynamic suggestions, identifying root causes, and generating playbooks on-the-fly, Harness aims to streamline incident response processes.
Unlike traditional incident response frameworks reliant on predefined playbooks, Harness incorporates AI agents that proactively recommend actions and perform essential triage tasks. These agents access various systems to gather information automatically, streamlining the incident response process. While automation plays a significant role, human oversight remains integral, ensuring efficient collaboration between AI technology and human expertise.
The incident response module by Harness operates independently, requiring no prior use of other Harness modules. However, the seamless integration with existing workflows, such as DevOps and chaos engineering, offers enhanced operational efficiency. By conducting ‘fire drills’ alongside chaos engineering simulations, organizations can adopt a proactive approach to incident response, minimizing the impact of unforeseen disruptions.
One of Harness’s clients, Tyler Technologies, has embraced the incident response module to address operational challenges efficiently. By integrating incident response capabilities with existing operations, Tyler Technologies aims to streamline incident management, enhance root cause analysis, and optimize incident prevention. The infusion of AI-driven features is anticipated to expedite incident resolution, saving valuable time and resources.
Another organization evaluating Harness’s incident response module is InStride, represented by Omar Alwattar, a Senior DevOps engineer. Alwattar highlights the significance of preventative monitoring and root cause identification in incident response. The new tool promises faster issue identification and automated fix suggestions, potentially reducing downtime, improving SLA adherence, and enhancing customer satisfaction.
Harness’s foray into agentic AI-driven incident response signifies a shift towards more efficient and proactive incident management practices. By combining AI technology with human expertise, organizations can streamline incident response processes, enhance root cause analysis, and optimize incident prevention strategies. Harness’s innovative approach holds the potential to revolutionize the traditional incident response landscape, offering enterprises a more effective and automated solution to mitigate system disruptions.
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