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Frequently Asked Questions
What is automation observability?
Automation observability is the operational practice of tracking and governing automated processes across heterogeneous schedulers, cloud systems, and data pipelines. It correlates horizontal workflows to evaluate business commitments, detect cross-system dependencies, and prevent service-level agreement violations across multi-vendor execution environments.
Traditional monitoring follows technical services vertically through physical infrastructure, applications, and APIs. In contrast, automation observability follows automated processes horizontally across diverse execution domains. AAI v26 provides visibility across Broadcom workload automation solutions as well as those offered by third-parties. This architectural framework maps critical dependencies, evaluates business impact, and provides operators with comprehensive state awareness across complex enterprise environments.
What are natural-language Data Insights?
AAI v26 introduces introduces a natural-language chat interface that lets users at any technical skill level query workload and job performance data by simply asking a question, removing the need to write complex database queries. Generative AI builds the query while deterministic retrieval ensures accuracy. Saved queries can now be published as shareable data insights.
How does AAI v26 enforce financial accountability in enterprise automation?
Automation financial accountability is a governance mechanism that attributes automation execution expenses directly to consuming business units through showback and chargeback accounting. AAI v26 establishes this discipline by linking jobs to cost-center hierarchies via ranked rules, preventing departments from treating central automation infrastructure as an unmetered resource.
Automation historically operated as a shared IT service where consumer units avoided direct operational expenses. This dynamic encouraged low-value requests and removed incentives to fix failing jobs. AAI v26 introduces showback to expose consumption and formal chargeback to bill organizational units directly. Administrators define automation-service costs, construct cost-center hierarchies, and associate jobs with cost centers through ranked rules. A chargeback insight reports allocated cost or execution volume by organizational unit, giving business leaders the economic accountability required for purposeful automation prioritization.
How does AAI v26 modernize deployment and strengthen platform security?
AAI v26 modernizes deployment by introducing official container images for automated single-instance installation on Kubernetes and Red Hat OpenShift while supporting external databases. Additionally, Broadcom strengthens platform security posture using frontier-AI-assisted source-code analysis to identify vulnerabilities before software release.
Containerized deployment allows enterprise IT teams to run AAI within cloud-native environments while maintaining connections to automation engines outside the cluster. Organizations preserve their existing customer-managed databases while eliminating manual server configuration. Broadcom continues to support traditional installations alongside containerized options. By pairing containerized delivery with frontier-AI-assisted security analysis during development, AAI v26 provides modern platform agility while maintaining strict enterprise compliance and security standards.
