Enable predictable, agile, and silent batch operations
Transform workload management from reactive to proactive, using the combined power of AI and automation.
Meet critical SLA and adopt to dynamic workload management needs with ignio
A closed-loop solution for proactive, autonomous workload management by combining the power of machine learning, AI, and automation to meet evolving business requirements.
Optimize batch operations
Learn context & monitor workloads
Comprehensive modelling of workload estate across schedulers and business functions, and continuous monitoring of batch jobs, files, and processes to detect failures, long run, and late starts.
Alert optimization
Reduce alert noise using dynamic thresholds for alerts, suppression of false alerts, aggregation of related alerts, and prioritization of alerts based on impact.
Predictions to prevent SLA violations
Intelligent 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.
Diagnosis & autonomous resolution of incidents
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 for autonomous resolutions.
Batch optimization and recommendations
Derive problem signatures by mining patterns & correlation to proactively manage problems, and intelligent process optimization reports to optimize batch processes, and meet business goals.
Analytics for growth and change
ignio improves process agility by predicting the impact of business and technology changes on workload processes, way ahead into the future.
Learn context & monitor workloads
Comprehensive modelling of workload estate across schedulers and business functions, and continuous monitoring of batch jobs, files, and processes to detect failures, long run, late starts.
Alert optimization
Reduce alert noise using dynamic thresholds for alerts, suppression of false alerts, aggregation of related alerts, and prioritization of alerts based on impact.
Predictions to prevent SLA violations
Intelligent 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.
Diagnosis & autonomous resolution of incidents
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 for autonomous resolutions.
Batch optimization and recommendations
Derive problem signatures by mining patterns & correlation to proactively manage problems, and intelligent process optimization reports to optimize batch processes, and meet business goals.
Analytics for growth and change
ignio improves process agility by predicting the impact of business and technology changes on workload processes way ahead into the future.
Single source of truth across schedulers and technologies
Leverage unique capabilities on a scalable, single stack SaaS solution to get 360° visibility of your batch estate across multiple schedulers and link business-batch–infrastructure.
Multi-layered intelligent analytics
Incorporate descriptive, diagnostic, predictive, and prescriptive intelligence for comprehensive visibility for all workload management use cases.
AI/ML based accuracy
Leverage higher prediction accuracy with deep forecasting models and visibility across schedulers and infra layers.
Closed-loop operations
Go beyond monitoring and correlations to intelligent automation 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 to SLAs
Get ahead–of–time notification of SLA violations and recommended fixes to ensure critical business SLAs are met.
Reduce alert noise
Optimize alerts and resolve large volume of operational issues without any manual touch.
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.
Find out more about intelligent workload management
Digitate’s ignio AI.Workload Management is an unique offering that provides 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
