Workflow Automation and Operational AIOps

The strategic integration of Workflow Automation (WFA) with Operational AIOps fulfills joint objectives and creates a new value proposition. WFA accelerates service delivery while imposing standardized policies for consistency, compliance, and risk mitigation. Operational AIOps, driven by observability data, analytics, and automation, aims to minimize operational effort using autonomous, intelligent workflows. Successful implementation of these trends relies on governance best practices and maintaining a rapid feedback loop for continual improvement.

The associated concepts have been transformed by evolving infrastructure and application architectures, including cloud computing, multi-cloud and hybrid infrastructures, microservices, and DevOps. The associated observability data flows and telemetry data have diversified to include traces, statistics, logs, events, and problems and alarms. These developments have amplified both the need for observability data-driven automation and the potential return on investment. While AIOps can reduce operational effort and improve delivery reliability, the absence of policy-driven process automation exposes organizations to heightened risks of inconsistent policy non-compliance and security vulnerabilities. In the absence of adequate data quality, the likelihood of false alerts and, consequently, the volume of operational noise increases.