AIOps And The Quest For The Grail
The promise of a self-healing IT environment has arrived—if your CIO is willing to make the journey.
Self-healing. The term itself borders on magical. No wonder a self-healing IT environment has long been the holy grail for enterprise CIOs.
Why? Because CIOs today are strategically responsible for delivering digital products and driving innovation. At the same time, their teams oversee hundreds or thousands of applications, resources, and data sources. A self-healing IT environment would automatically predict issues and then automatically apply the fix.
Self-healing IT has, for the most part, been unattainable—until now. Today, true prediction can finally be reached with the help of AIOps, while remediation can be automated with digital workflows.
The power of prediction
For those unfamiliar with the term, AIOps simply means applying machine learning to IT operations functions. But implementing AIOps into a complex environment requires patience and a carefully planned strategy.
Machines, like people, need time to learn. It takes more than the flip of the switch for AIOps to predict the next service degradation or outage. In the same way that human analysts gather customer and employee feedback on the quality of their IT experiences, AIOps uses feedback from your IT operations team to identify whether what it learned was useful and, if so, why.
Given time and feedback, AIOps will deliver increasingly accurate insights, allowing better decisions to be made. It does this by applying automation and statistical analysis to events, performance metrics, and data collected from monitoring tools. This allows it to learn behaviors, identify anomalies, correlate alerts, reduce noise, and pinpoint root causes.
But AIOps needs a partner to feed it the information it needs to learn. This is where IT service management (ITSM) comes in.
ITSM acts as a layer of engagement between the business and your IT team by providing the critical information AIOps needs to develop its predictive capabilities.
AIOps can absorb a significant range of information. Change requests can be correlated with alerts to identify changes that led to a system failure. Past incidents may be used to identify an issue experienced across multiple instances of the same application. Problems with known errors documented as knowledge articles can be automatically surfaced to IT as recommended solutions.
So, ITSM analyzes root causes and resolutions—ultimately identifying candidates for automating remediation. Then, based on that ITSM analysis, digital workflows can be built to automate that remediation, getting you even closer to the holy grail of self-healing IT.
Of course, you’ll need the right platform—and people—in place to do so.
Platform plus people
The quest for the grail begins with the right platform. To reap the full benefits of AIOps, you will need a single platform that can consolidate and process alerts, log analytics, metrics, collect data, trigger business processes, and automate corrective actions.
You’ll also need a team that understands what AI and machine learning bring to the table. Don’t worry— that doesn’t mean you need to hire an expensive new stable of data scientists to implement AIOps. I’ve found that stakeholders get excited to participate once they discover how AIOps reduces system downtime and improves the overall business and customer experience.
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 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 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