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Workload Automation

Workload automation (WLA) streamlines and schedules complex IT and data tasks across hybrid environments. We cover best practices, use cases, and vendor comparisons to help teams modernize and scale automation workflows effectively.

Explore Workload Automation

Top 29 DevOps Automation Tools for Efficient Workflows

Workload AutomationSep 2

35% of last year’s automation efforts were dedicated to DevOps automation, based on a recent report on IT automation. This reflects the growing need for tools that help development and operations teams automate their development process and efficiently implement DevOps practices.

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Workload AutomationAug 19

Workload Automation Security: Best Practices & Examples

Businesses must secure workload automation at every level. The following sections outline key risks, best practices for securing automation environments, and real-world examples that highlight the importance of robust security.

Workload AutomationJul 28

WLA Migration: Best Practices & Vendor Approaches

Organizations are increasingly reconsidering their existing workload automation tools, with many actively exploring or transitioning to new solutions. Migrating to a newer workload automation system can provide immediate gains in scalability, reliability, and integration capabilities. We define workload automation (WLA) migration, best practices, what to pay attention to, and the differing approaches from different vendors.

Workload AutomationJul 26

Transform OT Automation with IT/OT Convergence

Software-driven disruption is reshaping OT automation by enabling flexible, hardware-agnostic platforms to handle traditional control functions, while new protocols like OPC UA aim to modernize OT communication through richer, more standardized data exchange.

Workload AutomationApr 3

Python Job Scheduling: Methods and Overview

Automating repetitive tasks is essential for efficiency, whether you’re running a small script or managing large-scale applications. Python job scheduling allows you to execute tasks automatically at specific times or intervals, reducing manual effort and improving reliability. Here are the different job scheduling methods in Python, ranging from simple to advanced solutions, along with their pros and cons.

Workload AutomationApr 28

Discover Latest 6 SAP Datasphere AI Integrations

SAP Datasphere is AI tool that can help deliver meaningful data to the enterprises that struggle to utilize 60% and 73% of their data for analytics, as the latest big data statistics indicate.

Workload AutomationJun 11

Discover 8 SAP BTP Generative AI Tools

70% of 500 top-tier IT leaders indicated that they plan to prioritize generative AI for their businesses in the next year according to generative AI stats. 80% of big tech firms have already invested in generative AI. SAP is expanding its generative AI capabilities through the SAP BTP platform to support enterprise use cases.

Workload AutomationAug 22

Compare Top 15 Data Orchestration Tools

The data orchestration tools include: These tools can enhance data pipelines, improve data quality, and address version control challenges, enabling companies to use 60-75% of their otherwise unused data, as big data stats show.

Workload AutomationMay 13

Compare 15+ Script Scheduler Providers

Script scheduling tools are essential in IT automation, running scripts based on schedules or triggers. They can be categorized into: Selecting an appropriate tool involves considering your project’s requirements, scalability concerns, and the functionality you prioritize.

Workload AutomationAug 19

Linux Job Scheduler: Review, Guide & Alternatives

Linux job scheduler and ‘cron,’ a time-based job scheduler, are commonly used in Linux job scheduling.

Workload AutomationAug 22

Redwood-SAP Partnership: Clean Core Support for SAP Customers

With over 30 years of experience in automation, Redwood has worked alongside SAP to support a wide range of enterprise automation initiatives. This partnership has supported numerous enterprise automation projects. We aim to inform businesses about the services SAP users can access through Redwood, the history of this partnership, and the dynamics of their collaboration.