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Putting Workload Management at the Center of ITOps Transformation

By Somdipto Ghosh

It is ironic that IT, which is considered synonymous with technology and automation, may itself be in dire need of process automation to eliminate its manual, repetitive, and mundane aspects.

This is because, IT operations (ITOps) is both a victim and a beneficiary of fast-scale technological changes. On one hand, IT products and services have gained massive scale and complexity, making it difficult for small and medium-sized teams to manage IT operations. On the other hand, innovations such as Virtual Networks, Containers, Cloud, and AI (Artificial Intelligence) have brought new opportunities to improve and automate provisioning, maintenance, monitoring, remediation, and similar tasks to reduce manual dependence on ITOps processes.

However, as ITOps deal with a large array of automation strategies for each function, such as Workload Automation, Robotic Process Automation (RPA), and Process-Specific Automation, IT organizations are facing challenges in deciding where to aim their transformation efforts first.

The case for workload management-led transformation

Workload Automation is an obvious candidate, as in most organizations, workloads or batch jobs represent the largest volume of automated operations. These batch jobs are business-critical, since many functions, such as order management, payment transactions, report creation, logistics depend on their prompt completion. Any delay in completing these functions may derail critical business processes. Moreover, many tasks associated with workload management functions are repetitive, time-consuming, and resource-intensive, hence reinforcing the need for transformation.

Furthermore, due to some of the limitations of existing workload management technologies, many organizations consider workload management as an ordinary tool, and not as a key aspect of IT automation and transformation strategy. Visibility in workload ecosystems is extremely fragmented, and therefore it is hard to manage. In most organizations, thousands of batch jobs and files are associated with multiple schedulers, legacy systems, and cloud platforms with complex interdependencies, making it a modern-day equivalent of an old-fashioned phone switchboard with plugs.

Technology that meets the current needs

Having worked with ITOps teams in large enterprises across the globe, DigitateTM is aware of technologies that can give business and IT leaders more visibility in workload management. Hence, we created a specialized product ‘ignioTM AI.WorkloadManagement’, which provides a closed-loop solution for proactive and autonomous workload management. It combines the power of Machine Learning (ML), Artificial Intelligence (AI), and automation to deliver predictable, agile, and silent batch operations.

The latest release of ignioTM AI.WorkloadManagement is very significant as it takes major strides in reducing the technology gaps mentioned above. It puts the workload management function in the driver’s seat of a larger ITOps transformation. ignioTM AI.WorkloadManagement is already enjoying a unique position in the workload management technology space, being the only solution that can:

  • Work across a heterogenous batch environment and can map batch to business and to infrastructure layers.

  • Provide multi-layered intelligence on workload operations, including descriptive, diagnostic, predictive, and prescriptive analytics.

  • Enable closed-loop operations to go beyond predictions for diagnosis and recommendations and can take automated corrective actions.

  • Leverage domain-specific AI/ML models to provide accurate Service Level Agreement (SLA) predictions.

Our latest release expands on these strengths by going beyond workload management and offers the same capabilities to other key IT processes, such as transactions, orders, requests, and so on.

Additionally, it can now support predictions on files and job-files dependencies, which is a key to normal business functioning. This ensures a single pane of glass visibility for ITOps across major IT processes, putting workload analytics at the center of all monitoring and anomaly-detection activities.

The release also comes with a next-generation Watch dashboard. This feature focuses on monitoring the entire gamut of IT processes and detecting any anomalies hidden among thousands of transactions, increasing IT observability.

An advanced operations console complements this visibility with centralized access to various levers to take corrective actions manually if needed. The new release not only provides a wealth of capabilities, however, it also makes installation easier by using data-mining techniques to eliminate the need for complex adapters while connecting to the existing third-party workload automation tools.

Business teams also get more visibility in measuring the impact of the solution on their processes through a governance dashboard to view the effectiveness of the use cases.

The way forward

The new release of ignioTM AI.WorkloadManagement offers a single solution for 360-degree monitoring of IT processes, expanding its control beyond the scope of workload automation. By extending workload monitoring, analytics, and predictions to other processes, it helps in building synergy between ITOps and business teams with the ability to cater to the domain-specific requirements. It also helps the business teams to become more agile, as they can now go beyond the traditional workload solutions and propose newer schedulers matching their goals, without worrying about the efforts required to onboard and monitor them.

Click here to learn more about ignioTM AI.WorkloadManagement or contact us for a detailed discussion.

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Somdipto Ghosh

Senior Product Marketing Manager | Digitate
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Products

ignio AIOps

Redefining IT Operations with AI and Automation

ignio AI.Workload Management

Enabling Predictable, Agile and Silent Batch Operations in a Closed-loop solution

ignio AI.ERPOps

End-to-end automation for incidents and service requests in SAP

ignio AI.Digital Workspace

Autonomously Detect, Triage and Remediate Endpoint issues

​ignio Cognitive Procurement

AI-based analytics to improve Procure-to-Pay effectiveness

ignio AI.Assurance

Transform software testing and speed up software release cycles

Solutions

Business Health Monitoring

Proactively Monitor Retail and eCommerce Health to deliver optimal customer experiences

IDoc Management for SAP

Monitor, Prioritize and Resolve IDoc issues to ensure business continuit

IT Event Management

Prevent outages with Predictive Intelligence and Autonomous Event Management

Business SLA Prediction

Never miss a business SLA with AI-powered monitoring and predictions

Resources

Analyst Reports

Discover what the top industry analysts have to say about Digitate

Blogs

Explore Insights on Intelligent Automation from Digitate experts

ROI

Get Insights from the Forrester Total Economic Impact™ study on Digitate ignio

Case Studies

Learn how Digitate ignio helped transform the Walgreens Boots Alliance

Trust Center

Digitate policies on security, privacy, and licensing

e-Books

Digitate ignio™ eBooks Provide Insights into Intelligent Automation

Infographics

Discover the Capabilities of ignio™’s AI Solutions

White Papers and POV

Discover ignio White papers and Point of view library

Webinars & Events

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About Us

Leadership

We’re committed to helping enterprise companies realize autonomous operations

Newsroom

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Partners

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Academy

Evolve your skills and get certified

Contact Us

Get in Touch or Request a Demo

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Products

ignio AIOps

Redefining IT Operations with AI and Automation

ignio AI.Workload Management

Enabling Predictable, Agile and Silent Batch Operations in a Closed-loop solution

ignio AI.ERPOps

End-to-end automation for incidents and service requests in SAP

ignio AI.Digital Workspace

Autonomously Detect, Triage and Remediate Endpoint issues

​ignio Cognitive Procurement

AI-based analytics to improve Procure-to-Pay effectiveness

ignio AI.Assurance

Transform software testing and speed up software release cycles

Solutions

Business Health Monitoring

Proactively Monitor Retail and eCommerce Health to deliver optimal customer experiences

IDoc Management for SAP

Monitor, Prioritize and Resolve IDoc issues to ensure business continuit

IT Event Management

Prevent outages with Predictive Intelligence and Autonomous Event Management

Business SLA Prediction

Never miss a business SLA with AI-powered monitoring and predictions

Resources

Analyst Reports

Discover what the top industry analysts have to say about Digitate

Blogs

Explore Insights on Intelligent Automation from Digitate experts

ROI

Get Insights from the Forrester Total Economic Impact™ study on Digitate ignio

Case Studies

Learn how Digitate ignio helped transform the Walgreens Boots Alliance

Trust Center

Digitate policies on security, privacy, and licensing

e-Books

Digitate ignio™ eBooks Provide Insights into Intelligent Automation

Infographics

Discover the Capabilities of ignio™’s AI Solutions

White Papers and POV

Discover ignio White papers and Point of view library

Webinars & Events

Explore our upcoming and recorded webinars & events

About Us

Leadership

We’re committed to helping enterprise companies realize autonomous operations

Newsroom

Explore the Latest News and information about Digitate

Partners

Grow your business with our Elevate Partner Program

Academy

Evolve your skills and get certified

Contact Us

Get in Touch or Request a Demo

Request a Demo