HCL Workload Automation
HCL Workload Automation: enterprise job scheduling and orchestration. Kubernetes-native, cloud-ready, self-service workflows.

Key Features
- Enterprise job scheduling
- Kubernetes orchestration
- Multi-cloud workload management
- Self-service portal
- Event-driven automation
Table of Contents
Why HCL Workload Automation?
85% of enterprise workloads require scheduled automation. Legacy schedulers don’t support cloud. Kubernetes jobs are difficult to manage. No unified view across hybrid environment. Business continuity on job failures is critical.
HCL Workload Automation is enterprise workload orchestration. Kubernetes-native for cloud-native workloads. Unified scheduling for on-prem, cloud and hybrid. Self-service portal for business users. Built-in business continuity.
How does it work?
Central Orchestration
Single point of control:
- Unified scheduling engine
- Cross-platform orchestration
- Dependency management
- Centralized monitoring
- End-to-end visibility
Cloud-Native Architecture
Modern deployment:
- Kubernetes native
- Container orchestration
- Microservices-based
- Horizontal scaling
- High availability
Event-Driven Automation
Reactive workflows:
- File triggers
- Message queues
- API events
- Time-based
- Complex conditions
Key Features
Job Scheduling
- Time-based scheduling
- Calendar management
- Dependency chains
- Conditional execution
- Retry logic
Workload Orchestration
- Cross-platform workflows
- Cloud orchestration
- Data pipeline automation
- ETL scheduling
- Application integration
Self-Service Portal
- Business user access
- Template-based jobs
- Approval workflows
- Monitoring dashboards
- Job submission
Business Continuity
- Automatic failover
- Disaster recovery
- Workload rebalancing
- SLA management
- Alert escalation
Supported Platforms
| Category | Platforms |
|---|---|
| Operating Systems | Windows, Linux, Unix, z/OS |
| Cloud | AWS, Azure, GCP, IBM Cloud |
| Containers | Kubernetes, OpenShift, Docker |
| Applications | SAP, Oracle, Informatica |
| Big Data | Hadoop, Spark, Databricks |
Use Cases
ETL/Data Pipelines:
- Scheduled data extraction
- Transformation workflows
- Load orchestration
- Dependency management
Batch Processing:
- Financial batch jobs
- End-of-day processing
- Report generation
- Data reconciliation
DevOps Integration:
- CI/CD pipeline triggers
- Deployment automation
- Environment provisioning
- Test orchestration
Cloud Migration:
- Hybrid workload management
- Gradual migration
- Multi-cloud orchestration
- Workload portability
Who is it for?
- Enterprise with complex batch processing
- Organizations modernizing legacy schedulers
- Cloud-native teams needing job scheduling
- IT Operations with multi-platform environments
Benefits
For IT Operations: Single console, reduced complexity, automated recovery
For Business: Self-service access, SLA visibility, faster job completion
For DevOps: Kubernetes integration, CI/CD automation, event-driven workflows
Specifications
| Architecture | Kubernetes-native, microservices |
| Platforms | Windows, Linux, Unix, z/OS, Cloud |
| Containers | Kubernetes, OpenShift, Docker |
| Integrations | 100+ connectors |
FAQ
How does it differ from cron/Windows Task Scheduler? Enterprise features: dependencies, SLA, business continuity, centralized management, cross-platform.
Does it support Kubernetes jobs? Yes. Native Kubernetes integration. Can orchestrate Kubernetes workloads as part of larger workflows.
How does migration from legacy schedulers work? Migration tools and professional services. Gradual migration approach.
Can I migrate to cloud? Yes. Hybrid model allows orchestrating on-prem and cloud workloads from one place.
How does self-service portal work? Business users can submit jobs from templates. Approval workflows, monitoring, without IT intervention.
Does it support SAP? Yes. SAP connector for job submission and monitoring. Part of larger SAP automation.
How does high availability work? Active-active clustering, automatic failover, workload rebalancing. Built for 24/7 operations.
Does it integrate with ServiceNow? Yes. ITSM integration for incident creation, change management.
What are infrastructure requirements? Kubernetes cluster or traditional server deployment. Depending on scale and requirements.
What about support? HCL global support. nFlo offers deployment, migration and customization services.
Inquire about HCL Workload Automation
Contact your product specialist and get a custom quote.

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