How Alert & Event correlation is helping IT organizations improve productivity

Event correlation is the process of analyzing alerts and events from across IT infrastructure, identifying the ones that are related, and grouping them into a single actionable incident. By filtering out duplicate, redundant, and non-actionable alerts, event correlation reduces noise and helps IT operations teams find the probable root cause and resolve issues faster.

With about 40% of organizations being inundated by over a million event alerts a day, and 11% receiving over 10 million alerts a day; the only way forward is a massive change in infrastructure.

IT concepts or protocols have usually been built with the notion of grouping or hierarchy, instead of dealing with a flat list of entities. The continued innovation of IT-powered service allows different departments to work in concert delivering overall optimized performance. Events-related functionality: alert and event correlation need to be streamlined to improve productivity. 

Key takeaways

  • Event correlation groups many related alerts into a single actionable incident so teams can focus on restoring service instead of sorting through floods of alerts.
  • Routing alerts to the right teams and categorizing them as critical, warning, or informational helps personnel prioritize work and respond to what matters first.
  • A real-time alerts console shows status changes, new incidents, severity, logs, and history, and supports remote actions such as reassigning owners or updating status.
  • AIOps tools such as the Incident Room in Fabrix.ai (formerly CloudFabrix) add clustering, probable root cause identification, and predictive recommendations to reduce alert noise and MTTR.

How is this accomplished?

Grouping generic alerts

Establishing a generic alert for all your production routers makes it possible for any router whose connection is interrupted immediately to generate an alert. 

Grouping alerts for a single incident 

Aggregating multiple alerts for a single related event into a bucket known as ‘incidents’. This allows grouping multiple alerts as one actionable incident and logging all alerts for that particular incident to be filed under that. This allows the focus to be on managing the incident and getting the system up and running rather than being inundated by the alerts. 

Creating specific route protocols for incidents and alerts

Usually alerts flow to a single inbox or team. This leads to an overflowing inbox and a resulting confusion on how to resolve the issue. Establishing routes for the flow of incidents and alerts simplifies this by redirecting specific alerts to specific personnel or teams best equipped to handle them. 

Categorizing alerts

Differentiating between critical alerts, warnings, and information would enable personnel to prioritize which one to tackle first and in what order.

With information on the alerts, resolution of mission-critical alerts will be a high priority rather than spending time working on information alerts. Workflow for different alerts will awareness about the kind of alerts being received. In concert with alert aggregation, this will help in bringing down the number and volume of alerts by alerting personnel only on critical  alerts or alerts that require action.

Alerts console

The alerts console provides an intuitive, visual display in real-time of the latest goings-on on your monitoring system. This covers changes in status, new incident creation, or alert triggering, new circumstances are reflected on the events console. Each of these changes provides detailed, additional information such as date and time, log, and severity. In addition, an alert console allows you to access the history, infographics and all pertinent information associated with the element that triggered the event. This further allows personnel to interact with both the systems and their operations group, or others.

Manual remote actions such as assigning or changing an owner, modifying a status or pinging a host to check if they are mounted can be extended and customized to integrate them with other applications. 

How does CloudFabrix help with alert reduction?

  • The CloudFabrix Incident Room correlates multiple related alerts or incidents into a single entity (as defined by ITIL) which can now be handled as a single cumulative actionable problem. 
  • This streamlines the process by eliminating time spent rummaging through layers of false or non-actionable or redundant alerts or incidents.
  • The Incident Room also provides AI/ML-driven recommendations using clustering algorithms that recognize patterns and show similar and related incidents.
  • With a unified data center, the Incident Room makes it possible to flag and identify a Probable Root Cause. 
  • This can be bookmarked expediting resolution and follow-up of similar incidents in the future.  
  • The incident room has the potential to serve as a knowledge base for IT ops teams. 
  • The Incident Room actively learns from previous incident trends and state changes. 
  • It leverages predictive analytics and suggests the follow-up steps for incident response, which personnel/user to assign it to, and whether to resolve/cancel the incident. 
  • Actionable problems can then be created as tickets in a ticketing system of customer’s choice, thereby making the whole process more smooth and improving customer experience [CX].

What are the key benefits?

  • Improved Operational Efficiency
  • Reduced Mean Time to Diagnose/Resolve (MTTD, MTTR)
  • Reduced alert noise by alert deduplication
  • Increased efficiency in handling a large volume of incidents through correlating to actionable insights
  • Centralized operational portal for alerts or incidents originating from multiple systems

CloudFabrix will streamline your IT team with data-driven recommendations allowing them to manage priority tasks rather than wasting time in handling everyday tasks. This will help to save both money and time. The long-term impact of AIOps on IT operations will be transformative. 

Please feel free to reach out to us in case of any questions. 

Frequently Asked Questions

What is the difference between event correlation and alert correlation?
Event correlation and alert correlation are closely related and often used interchangeably. An event is any notable change or occurrence recorded by a monitored system, while an alert is an event flagged as needing attention. Event correlation analyzes the broader stream of events, and alert correlation groups related alerts. Both aim to turn many signals into one actionable incident.

Why is event correlation important in IT operations?
Event correlation is important because modern IT environments generate far more alerts than people can review one by one. By grouping related alerts into a single incident, it cuts noise, removes duplicate and non-actionable alerts, and points teams toward the probable root cause. That lets operations staff spend their time restoring service instead of triaging floods of individual alerts.

How does event correlation reduce alert noise?
Event correlation reduces alert noise by deduplicating repeated alerts and grouping related alerts into one incident. Categorizing alerts as critical, warning, or informational further limits notifications to those that require action. Routing rules then send each incident to the team best equipped to handle it, so inboxes no longer overflow with redundant messages and responders can focus on priority work.

How does AIOps improve event correlation?
AIOps improves event correlation by applying AI and machine learning to alert and incident data. Clustering algorithms recognize patterns and surface similar or related incidents, while analysis across a unified data set helps flag a probable root cause. AIOps platforms can also learn from past incident trends and suggest next steps, such as who to assign an incident to and whether to resolve it.

What are the benefits of event correlation?
The main benefits of event correlation are less alert noise, faster diagnosis, and better operational efficiency. Grouping and deduplicating alerts helps teams handle large incident volumes, reduce mean time to diagnose and resolve (MTTD and MTTR), and work from a centralized portal for alerts from multiple systems. Actionable incidents can then flow into the ticketing system the team already uses.

Tejo Prayaga
Tejo Prayaga
Tejo Prayaga is a high-growth Product Management & Marketing leader. Tejo has extensive experience helping enterprises build, scale, and market innovative products and solutions that use modern technologies like Data Automation, Artificial Intelligence, Machine Learning, Microservices, Cloud Services, and more. Startup geek, Ex-Cisco, MBA, Speaker, and Toastmaster!! https://www.linkedin.com/in/tprayaga