Sabharwal / Kasiviswanathan Workload Automation Using HWA

With Architecture and Deployment Options
1. Auflage 2022
ISBN: 978-1-4842-8885-6
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 234 Seiten

Reihe: Professional and Applied Computing (R0)

Apply best practices for deploying and administering HCL Workload automation (HWA) to meet the automation requirements of the digitally transformed platform. This book will provide detailed architecture and deployment options to achieve this goal.

Workload automation focuses on real-time processing, predefined event-driven triggers, and situational dependencies. It offers centralized control of managing multiple tasks, making it possible to schedule enterprise-wide tasks. You'll see how it supports the timely completion of tasks and is beneficial for processes that need to happen at a specific time or need to occur as a result of another event. 

HWA increases efficiency, reduces the turnaround time for workflows, and reduces errors along with delays in end-to-end processes. You'll review proven ways to deliver batch optimization and modernization requirements, and see how solutions can be aligned with the DevSecOps delivery model. Workload Automation Using HWA presents information on how to use the tool and has numerous use cases and implementation procedures to guide every workload automation deployment requirement. 

What You'll Learn

• Automate and integrate your complex workload, workflow, and business processes across automation platforms, ERP systems, and business applications
• Understand event-driven batch automation
• Practice alignment of the workload automation solution with the DevSecOps principles

Who This Book Is For

Solution Architects, Infrastructure Architects, Technical Architects, Enterprise Architects, Workload Automation Tool Administrators or SME’s, Schedulers, Application owners, Automation Specialists, Service Delivery Managers

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Sabharwal, Navin

Kasiviswanathan, Subramani

Inhaltsverzeichnis

Ch1: Introduction to Workload Automation.- Ch 2: HCL Workload Automation Architecture.- Ch 3: HCL Workload Automation Deployments.- Ch 4: Workload Design and Monitoring using DWC and CLI.- Ch 5: Use Case: HWA for Managed File Transfers.- Ch 6: Use Case: HWA integration with SAP.- Ch 7:  Use Case: Automate Job Executions on Microsoft SQL server.- Ch 8: Use Case: Working with RESTful Web Services.- Ch 9: Use Case: Submit, orchestrate and monitor jobs on a Kubernetes cluster.- Ch 10: Use Case: HWA Integration with Hadoop Distributed File System.-Ch 11: Use Case: HWA Integration with Apache Spark.- Ch 12: HWA Integration with ServiceNow.-Ch 13: Tool Administration and best practices- Ch 14: Alerting and Troubleshooting issues.- Ch 15: HWA Reporting.- Ch 16: HWA Security.-Ch 17: HWA tuning for best performance.- Ch 18: Alignment of HWA with DevSecOps Delivery model.

Über Autor(innen)

Navin Sabharwal, currently is the Chief Architect and Head of Strategy for Autonomics, named ‘DRYiCE’ at HCL Technologies. He is responsible for innovation, presales, and delivery of award-winning autonomics platforms for HCL Technologies. Navin is an innovator, thought leader, author and a consultant in areas of AI and Machine Learning, Cloud Computing, Big Data Analytics, Software Product Development, Engineering and R&D. He is responsible for IP Development & Service Delivery in the Areas of AI and Machine Learning, Automation products, Cloud Computing, Public Cloud AWS, Microsoft Azure, VMWare Private Cloud, Microsoft Private Cloud, Data Center Automation, Analytics for IT Operations, IT Service Management.

Subramani Kasiviswanathan is the Solution architect for Application Performance Management and Workload Automation Solutions, also leading the Engineering and R&D function, having overall 16 years of IT experience and 6 years of experience in Academics, currently working as Practice Lead in HCL DRYiCE, responsible for creating solutions catering to APM and Workload Automation, responsible and accountable for the Research and Development in autonomics platform.