The integration of AIOps platforms into DevOps toolchains is becoming increasingly vital as organizations adopt more technologies and cloud-native solutions. AIOps, which stands for artificial intelligence for IT operations, helps automate anomaly detection and incident response, offering value throughout the digital value chain by leveraging data from software development to customer interactions. As traditional AIOps approaches struggle to scale with the complexity of modern cloud environments, an observability-based AIOps platform offers enhanced capabilities by using AI algorithms and real-time data analytics to automate triaging, response, and remediation. This integrated platform enables organizations to optimize routine monitoring tasks, reduce false alarms, and improve mean time to resolution (MTTR). By shifting AIOps left, organizations can incorporate AI into the entire DevOps lifecycle, enhancing software quality and enabling faster, more reliable releases. This strategic shift not only reduces IT downtime costs but also alleviates stress on DevOps teams by minimizing the need for manual intervention, thus preventing burnout and improving overall efficiency.