Automic Automation is a unified workload automation platform that orchestrates business and IT processes from mainframe to microservices. Trusted by Fortune 100 organizations for over 25 years, it eliminates scheduling silos and provides a single control point for workloads across your entire technology stack.
Best for
Most enterprises run dozens of scheduling tools across mainframe, distributed, cloud, and SaaS environments. Each tool operates in isolation, creating blind spots, manual handoffs, and fragile dependencies that break when business processes span multiple platforms.
Organizations typically manage separate schedulers for mainframe, Windows, Linux, cloud, and ERP systems. Each tool has its own interface, alert system, and team responsible for it.
Automic Automation replaces fragmented scheduling with a single platform that orchestrates workloads across every environment from one console.
When a business process spans SAP, a data warehouse, and a cloud application, teams rely on manual handoffs, email notifications, and custom scripts to bridge the gaps.
Automic orchestrates end-to-end workflows with event-driven triggers and dependency management, eliminating manual intervention between systems.
When a critical batch job fails at 2 AM, teams spend hours tracing dependencies across multiple tools to find the root cause and determine the downstream impact.
Automic provides a unified view of all workloads, predictive SLA management, and automated remediation to resolve issues before they affect business operations.
Orchestrate business and IT processes across mainframe, distributed, cloud-native, and SaaS environments from a single platform.
Event-driven triggers, dependency management, and SLA monitoring replace time-based scheduling and manual handoffs.
Native automation for SAP environments including SAP Cloud and RISE for SAP. Orchestrate Oracle Cloud and on-premises Oracle workloads alongside other business processes.
Manage cross-application dependencies between ERP jobs and downstream systems without custom scripting.
Orchestrate data pipelines across ETL tools, cloud data platforms, and analytics systems. Coordinate data movement from source to insight with dependency awareness.
Replace fragile cron jobs and custom scripts with governed, auditable data pipeline workflows.
Define remediation workflows that execute automatically when jobs fail or SLAs are at risk. Reduce mean time to resolution without waiting for manual intervention.
Predictive SLA management identifies potential breaches before they occur, giving teams time to act proactively.
Secure, governed file transfers integrated directly into automation workflows. Transfer files between on-premises, cloud, and partner systems with encryption and audit trails.
Eliminate standalone MFT tools by embedding file transfer into your orchestration platform.
Define, version, and manage automation workflows as code. Integrate with CI/CD pipelines, Git repositories, and DevOps toolchains.
Enable development and operations teams to collaborate on automation using familiar tools and workflows.
Large enterprises often run five or more scheduling tools across mainframe, Windows, Linux, cloud, and ERP environments. Each tool requires its own expertise, maintenance, and licensing.
Automic Automation replaces multiple schedulers with a single orchestration platform. Organizations gain unified visibility, centralized governance, and reduced operational overhead.
ERP processes rarely exist in isolation. A SAP batch run may depend on upstream data feeds, trigger downstream reporting, and need to coordinate with Oracle financials.
Automic provides native SAP and Oracle automation that orchestrates cross-application workflows. It supports SAP Cloud, RISE for SAP, Oracle Cloud, and on-premises ERP environments.
Organizations adopting Kubernetes, microservices, and CI/CD pipelines need automation that works across traditional and cloud-native environments simultaneously.
Automic bridges legacy and modern workloads. Its Kubernetes Edition runs natively in container environments, and automation-as-code integrates with Git and CI/CD toolchains.
Understanding the differences between legacy schedulers, Automic Automation, and cloud-native tools helps organizations choose the right approach for their environment.
Automic Automation is available in three deployment models. Choose the option that fits your infrastructure strategy and operational requirements.
Fully managed automation platform. Broadcom handles infrastructure management, upgrades, and scaling.
Ideal for organizations that want to offload platform operations and focus on building automation workflows. Reduces time to value and operational overhead.
Container-based deployment for hybrid and cloud environments. Runs natively on Kubernetes for elastic scaling and infrastructure portability.
Best for organizations with existing Kubernetes infrastructure that want to run automation alongside their cloud-native workloads.
Full control over the automation platform within your own data center. Supports zero-downtime upgrades and lifecycle management.
Suited for organizations with strict data residency requirements or existing on-premises infrastructure investments.
"We haven't found anything we cannot make work to orchestrate with Automic."
Automic Automation is a unified workload automation platform from Broadcom that orchestrates business and IT processes across mainframe, on-premises, hybrid, and cloud environments. It supports ERP automation for SAP and Oracle, data pipeline orchestration, managed file transfer, and automation-as-code workflows.
It has been trusted by Fortune 100 organizations for over 25 years and is now available as SaaS, Kubernetes Edition, or on-premises deployment.
Automic Automation offers three deployment models. Automic SaaS is fully managed by Broadcom, offloading infrastructure operations. The Kubernetes Edition runs natively in container environments for hybrid and cloud deployments. The on-premises option provides full control within your own data center.
Organizations can choose the model that fits their infrastructure strategy, and all three options support the same automation capabilities.
Yes. Automic Automation provides native ERP automation for SAP (including SAP Cloud and RISE for SAP) and Oracle (including Oracle Cloud). It orchestrates cross-application processes, manages dependencies between ERP jobs and downstream systems, and provides end-to-end visibility across the entire workflow chain.
Legacy schedulers typically handle basic time-based scheduling for a single platform. Automic Automation provides event-driven orchestration across mainframe, distributed, cloud-native, and SaaS environments with built-in governance, SLA management, automation-as-code, and self-service capabilities.
Organizations consolidating from multiple legacy schedulers to Automic typically reduce operational complexity while gaining cross-platform visibility and automated remediation.
Yes. Automic Automation orchestrates Kubernetes jobs, containerized workloads, serverless functions, and cloud-native data pipelines alongside traditional mainframe and distributed workloads. The Kubernetes Edition runs natively in container environments for hybrid and multi-cloud deployments.
Automation-as-code support enables integration with Git repositories and CI/CD pipelines, bridging traditional operations and modern DevOps practices.
VirtualizationWorks helps organizations evaluate Automic Automation for their environment, plan migration from legacy schedulers, and understand licensing options.
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