Workload Management
Leverage observability, insights, and automation to transform workload automation.
Meet business SLAs and be ready for dynamic needs
with ignioâ„¢
ignioâ„¢ provides an AI-driven software for proactive workload operations by providing visibility for batch runs, predicting and preventing outages to ensure IT teams are always ready to meet evolving business needs.Â
Agentic AI for Autonomous IT — Built for Workloads
Meet business SLAs and adapt to dynamic demands with ignio™ AI.Workload Management. Built on the agentic ignio™ platform, this SaaS solution offers AI-driven visibility into batch jobs, predicts outages, and prevents disruptions—helping IT teams stay proactive and ensure seamless workload operations.
Business SLA Predictions​
Predicts future behavior and provides early warnings of potential SLA violations.​
Optimize batch operations
Get AI-based predictions of possible SLA violations across batch jobs, files and processes, with real-time data feeds, and assessment of the impact of failure/hold/delays on SLAs.Â
Reduce alert noise using dynamic thresholds for alerts, suppression of false alerts, aggregation of related alerts, and prioritization of alerts based on impact.Â
Ensure resilient operations by reducing the incident resolution time and efforts. ignio leverages AI/ML models to diagnose the cause of failures within the scheduler and infrastructure components, recommends fixes, and takes corrective actions.
Derive problem signatures by mining patterns and correlation to proactively manage problems and get AI-based insights to optimize batch processes.Â
ignio improves process agility by analyzing and predicting the impact of business and technology changes on workload processes.
Single source of truth across schedulers and technologies
Leverage the unique capabilities of ignio on a scalable, SaaS-based solution to get 360Ëš observability of batches, coupled with industry-leading AI/ML and automation capabilities.
Best-in-class AI-based insights
Incorporate descriptive, diagnostic, predictive, and prescriptive intelligence to provide comprehensive visibility across all workload management use cases.
Explainable and accurate AI
Leverage higher prediction accuracy with deep forecasting models, and easy explain ability to fine-tune insights and build trust.
Closed-loop system for batch jobs
Go beyond monitoring and correlations to AI-based analytics and automation for resolutions and proactive problem management.
Business SLA prediction
Business SLA predictions is a comprehensive solution to help translate business processes to SLAs and proactively predict and prevent SLA misses. It can leverage patented AI/ML models to learn the context of IT operations, monitor batch jobs, predict future outcomes, and provide recommendations to fix potential delays.
Improve efficiency with predictable operations
Comply with SLAs
Get notifications ahead of time about potential SLA violations, along with recommended fixes, to ensure critical business SLAs are met.
Reduce alert noise
Optimize alerts and resolve a high volume of operational issues automatically, without manual intervention.​
Improve agility
Enable proactive optimization and reduce time required to analyze and respond to changes.
An Australian retailer ensures on-time stock replenishment with AI-powered predictive analytics
Large retail operations are highly dependent on effective distribution networks to ensure on-time stock replenishments. The distribution process relies on smooth workload operations, and if there are any batch job failures or delays, the stock items may not reach the stores on time, resulting in lost sales. Learn how ignio helped the customer with AI/ML based technologies and predictive analytics to ensure their batch jobs are executed and SLAs are met on time.
Learn more about intelligent workload management
Digitate’s ignio AI.Workload Management is a unique product that delivers multi-scheduler visibility, intelligent multi-layered analytics, autonomous monitoring, predictive insights, and automated resolutions to drive digital transformation of workload automation processes.
Enable predictable, agile, and silent batch operations with a closed-loop solution
