Batch jobs and automated workloads are the backbone of many enterprise businesses. The sheer complexity and size of the workloads, often numbering in the hundreds of thousands, required for day-to-day operations — catches many operations teams by surprise.
ignio™ AI.WorkloadManagement learns your business and keeps your processes running smoothly, saving time so you can focus on what’s important: growing your business, not simply maintaining it.
- Helps improve stability by providing risk assessment with recommended preventative
- Improves your business agility by reducing SLA violations and predicting future batch job impacts with over 90% accuracy
- Minimizes the time needed for planning and operational activities
Because Batch workloads can number in the hundreds of thousands for an Enterprise, ignio’s ability to learn your business and keep your processes in check saves time and allows you to focus on what’s important: growing your business, not simply maintaining it.
ignio AI.WorkloadManagement creates a Blueprint of complete batch operations, from end to end and across all data streams—and even different batch workload schedulers—often allowing businesses to see the complete picture for the first time. ignio uses dependency information along with historical data to generate a model to help you better understand and gain control over your business. This model captures the hierarchy of business functions, from applications to infrastructure, so that you can see what is happening, assess gaps, and remediate any problems inherent in your complex systems.
Batch Blueprint begins with the business requirements specific to your environments, looks into your batch streams to find other relationships and conditions nobody knows about, and correlates the batch jobs to components in the underlying hardware infrastructure. By providing complete business-centric visibility, ignio for Batch enables you to address root causes, not just chase symptoms, to help you never miss an SLA again.
Normal Behavior Characterization
ignio AI.WorkloadManagement uses Precedence Rules, Grouping, and Business Constraints to understand your environment and determine which processes are more important. By continuously ingesting metrics from your environment and monitoring events, ignio can deduce patterns and trends and notify you of changes or potential problems. ignio’s knowledge of dependencies allows it to know how long each process stream should take and which results are needed before other processes can start. By understanding your business context, ignio allows you to focus on growing your business while it focuses on keeping your business running.
Work Across Multiple Job Schedulers
ignio readily integrates with several existing enterprise batch and workload automation systems, providing you with a single point of management for as many systems you require to support your business. Because the modeling can be done independently of the workload automation, ignio for Batch can provide benefits even for proprietary systems.
ignio shows you status with a real-time dashboard that displays a Progress View, Fault View, and Symptom View of your environment so you can see your enterprise at a glance.
ignio AI.WorkloadManagement graphs all dependencies, allowing users to see the upstream causes of problems quickly and easily so you can focus on resolving issues, not finding them. By identifying jobs that have critical dependencies and analyzing the history of alerts for each stream, ignio cuts through the noise and helps you focus on vital issues to keep the business running.
Intelligent Problem Identification
ignio can intelligently identify causes of problems in a matter of minutes, not hours or days. When an outage occurs, ignio leverages Blueprint and Normal Behavior Characterization data to automatically search for the problematic areas, identifying the exact jobs and processes related to the problem. ignio starts from the top of the technology stack and works its way down, determining whether various entities are functioning as expected. This checking is performed continuously until the root causes are identified.
Working in conjunction with ignio for IT Ops, ignio AI.WorkloadManagement can drill down to find faults in your underlying infrastructure. For the first time, you can see clearly the relationships among your infrastructure, your Batch workloads, and your business. When a batch job fails, you can see not only which upstream jobs may be responsible for the error, but also which infrastructure components may have contributed to the issue. By fixing the underlying causes, you address the problems for all future occurrences rather than trying to address each instance one-by-one.
Aggregate, Correlate and Prioritize Events & Alerts
IT is inundated with a high number of alerts as a result of static thresholds set in various monitoring systems. Hundreds of thousands of batch jobs per day can result in millions of alerts per week. ignio prioritizes alerts that have an immediate negative impact on the business so you can focus on moving forward without getting bogged down. Armed with an understanding of how alerts from different monitoring systems are related to root causes, ignio suppresses unnecessary alerts, leaving you with an action plan without having to wade through a sea of redundancy.
ignio AI.WorkloadManagement uses learned information to predict failures and identify risks even before changes are made. It also allows operations to perform complex “What if?” analyses in minutes, not just saving time, but helping avoid major issues by simulating hypothetical scenarios without having to touch your real-world environments. Optimize your business with confidence, knowing that ignio is there to guide you away from problems.
Prevents Failures through Scenario Simulations
It is almost impossible to implement changes that affect thousands of jobs without at least a few problems. Using learned information to predict failures and identify risks, ignio allows you to test your changes without affecting production environments, allowing you to see the results in minutes, and helping you find problems before they become reality. Knowing that ignio will guide you away from problems, you can optimize your business with confidence.
Predicts Potential Performance Risks
ignio utilizes multiple algorithms and techniques to identify processes that deviate from normal, notifying you in advance of potential issues. In addition to showing what future problems may exist, ignio’s workload simulations identify changes that may cause existing processes to violate business SLAs, all in real time.
Not only does ignio reduce your risk by showing you the effects of the changes you need to make, but it also suggests fixes and long-term actions that will keep your batch environment stable. These actions are selectable and can be run automatically to completely eliminate future incidents and their impacts.