Put The Power Of Prediction In Your AIOps
Predictive AIOps can keep your digital services—and your entire organization—up and running.
IT today can be summed up in three words: complex, decentralized, and slow. And the exponential increase in IT complexity brought about by operating from “anywhere” boils down to one thing—the ability to manage complexity requires technology capable of handling complexity.
This is bad news for IT departments still grappling with outdated IT.
Predicting a slow-forming anomaly before an outage happens—or simply determining the cause of an outage—can take hours, even days, using traditional, siloed IT tools. And when an outage hits, it takes even longer to identify the impacted services and remediate issues.
The implications are serious. Consider the massive internet outage that hit the East Coast in January of this year. At a time when everyone is logging on to get work done, an event of this scale wreaks havoc from the classroom to the boardroom.
To predict is to prepare
Whether it’s a garden variety outage or a global pandemic, IT needs to act now to prepare for the next big event. And the best way to prepare is to predict—which is where predictive AIOps comes in.
AIOps is about applying machine learning techniques to IT operations functions. This allows IT to correlate current and historical data with speed that operators can’t realistically achieve using traditional manual processes and siloed tools. Predictive AIOps allows operations teams to see slow-forming anomalies before they become outages and fix the problem before users are ever impacted.
Put simply, predictive AIOps makes it possible to stop outages before they start.
Now that I have your attention, let’s look at how your organization can make it happen.
The devil’s in the data
Predictive AIOps without historical data is like Bruce Lee fighting blindfolded.
To deliver insights at speed, it draws upon the historical incidents and change data. It then correlates this data with relevant knowledge base articles in real time.
The key is to bring together IT service management (ITSM), IT operations management (ITOM), and predictive AIOps on a single platform. This allows AIOps to grab data it needs and present it to the operations team, giving them the information they need to understand the root cause of an emerging anomaly or outage and fix it in near real time.
This end result is AI-powered IT service operations, which leaves the manual process of trying to correlate historical data from siloed, independent tools in the dust.
An AI-enabled solution like ServiceNow’s Predictive AIOps can rapidly identify the suggested remediation by mining knowledge base articles and using natural language processing (NLP). When it has processed enough historical data on past successful remediations, it can trigger remediation workflows automatically. This power of prediction frees operations teams to address other priority issues.
This article originally appeared on forbes.com, to read the full article and see the images, click here.
Nastel Technologies helps companies achieve flawless delivery of digital services powered by middleware. Nastel delivers Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate. To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s Navigator X fuses:
- Advanced predictive anomaly detection, Bayesian Classification, and other machine learning algorithms
- Raw information handling and analytics speed
- End-to-end business transaction tracking that spans technologies, tiers, and organizations
- Intuitive, easy-to-use data visualizations and dashboards
Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering tools for Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT, IBM Cloud Pak for Integration and many more.
The Nastel i2M Platform provides:
- Secure self-service configuration management with auditing for governance & compliance
- Message management for Application Development, Test, & Support
- Real-time performance monitoring, alerting, and remediation
- Business transaction tracking and IT message tracing
- AIOps and APM
- Automation for CI/CD DevOps
- Analytics for root cause analysis & Management Information (MI)
- Integration with ITSM/SIEM solutions including ServiceNow, Splunk, & AppDynamics