HCL Workload Automation

Dlaczego HCL Workload Automation?

85% enterprise workloads wymaga scheduled automation. Legacy schedulers nie wspierają cloud. Kubernetes jobs są trudne do zarządzania. Brak unified view across hybrid environment. Business continuity przy job failures jest krytyczna.

HCL Workload Automation to enterprise workload orchestration. Kubernetes-native dla cloud-native workloads. Unified scheduling dla on-prem, cloud i hybrid. Self-service portal dla business users. Built-in business continuity.

Jak to działa?

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

Główne funkcje

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

Dla kogo?

• Enterprise z complex batch processing
• Organizacje modernizujące legacy schedulers
• Cloud-native teams potrzebujące job scheduling
• IT Operations z multi-platform environments

Korzyści

Dla IT Operations: Single console, reduced complexity, automated recovery

Dla Business: Self-service access, SLA visibility, faster job completion

Dla DevOps: Kubernetes integration, CI/CD automation, event-driven workflows

Specyfikacja

Architecture	Kubernetes-native, microservices
Platforms	Windows, Linux, Unix, z/OS, Cloud
Containers	Kubernetes, OpenShift, Docker
Integrations	100+ connectors

FAQ

Czym różni się od cron/Windows Task Scheduler? Enterprise features: dependencies, SLA, business continuity, centralized management, cross-platform.

Czy wspiera Kubernetes jobs? Tak. Native Kubernetes integration. Może orchestrować Kubernetes workloads jako part of larger workflows.

Jak wygląda migration z legacy schedulers? Migration tools i professional services. Gradual migration approach.

Czy mogę migrować do cloud? Tak. Hybrid model pozwala orchestrować on-prem i cloud workloads z jednego miejsca.

Jak działa self-service portal? Business users mogą submit jobs z templates. Approval workflows, monitoring, bez IT intervention.

Czy wspiera SAP? Tak. SAP connector dla job submission i monitoring. Part of larger SAP automation.

Jak wygląda high availability? Active-active clustering, automatic failover, workload rebalancing. Built for 24/7 operations.

Czy integruje się z ServiceNow? Tak. ITSM integration dla incident creation, change management.

Jakie są wymagania infrastrukturalne? Kubernetes cluster lub traditional server deployment. Zależnie od scale i requirements.

Jak wygląda wsparcie? HCL global support. nFlo oferuje wdrożenie, migration i customization services.