From Data to Decisions: AI-Driven Advanced Analytics Powered by ANOW! Automate

Fragmented scripts, aging schedulers, and 2 a.m. pages for failed batch jobs are why most DevOps teams start shopping for an infrastructure automation tool. The right platform gives you one code-driven way to schedule, orchestrate, and monitor workloads across your hybrid stack. Below, we break down five infrastructure automation tools DevOps teams evaluate most often and what each is genuinely best for.

Enterprise automation has outgrown job schedulers. Today’s IT environments span on-premises infrastructure, three major cloud providers, SAP estates, DevOps pipelines, and AI/ML workloads, all of which need to run in a coordinated sequence. According to the Gartner Magic Quadrant for Service Orchestration and Automation Platforms, by 2029, 90% of organizations that currently deliver workload automation will be using service orchestration and automation platforms (SOAPs) to orchestrate workloads and data pipelines across hybrid environments.

If your nightly SAP batch run finishes on the mainframe but the cloud analytics job depending on it doesn’t fire until someone checks a dashboard the next morning, you already know the cost of disconnected scheduling. Hybrid workload automation closes that gap by giving IT operations a single control layer that automatically coordinates jobs, data pipelines, and dependencies across on-premises and cloud systems, with no manual handoffs required.