Dexda – event correlation
Dexda is an AI powered event correlation tool that optimizes incident response and accelerates MTTR by cutting through alert noise, elevating the most important issues, and creating a single source of truth across your entire environment. Unlike other AlOps solutions, Dexda uses open and customizable ML models, offering personalized IT at scale – it’s like having an extra ITOps team on your side that deeply understands your hybrid infrastructure.
Faster and smarter ITOps powered by AI
Dexda ingests millions of alerts from LM Envision and other third-party tools while adding rich context from LogicMonitor and ServiceNow CMDB. IT and CloudOps teams who use Dexda can:
- reduce alert noise by 80% or more
- decrease MTTR
- quickly get to RCA
- move from daily firefighting to more proactive operations
Reduce alert noise
Troubleshoot faster
Customize models
Dexda benefits
Quick time to value
Get started with Dexda immediately. Dexda employs out-of-box ML models with no need for training and includes a seamless integration with LogicMonitor. With multi-tenancy, Dexda is completely scalable and MSP-ready with correlations scoped to each tenant, so you can help your customer quickly identify incidents.
Explainable AI
With Dexda’s open and customizable machine-learning models, users can define their own correlation models to target the alert and enriched CMDB data that makes sense for their business. In addition, using Adaptive correlation, Dexda automatically re-clusters alerts when it identifies a more optimal clustering option. This avoids any delay in escalating insights to ServiceNow.
ServiceNow ready
Dexda integrates seamlessly with the ServiceNow Incident module for full bi-directional synchronization of alerts in Dexda and incidents in ServiceNow. Dexda event episodes are enriched with ServiceNow CMDB information so responders have additional context for rapid problem identification and resolution.
Adaptable alert clustering
Many teams struggle with too many alerts, especially when the same alerts are repeatedly created. Dexda clusters alerts using AI-driven methods across time, infrastructure and other items to convert hundreds of alerts into a single episode, which can be used to automatically open an incident in ServiceNow and get enriched with ServiceNow CMDB information to accelerate troubleshooting.
Dexda frequently asked questions
- What is AIOps?
AIOps, which stands for Artificial Intelligence for IT Operations, is a method for analyzing and displaying data for IT teams based on machine learning algorithms. The AI used in AIOps is often based on historical patterns coupled with current learned data trends.
- Is Dexda really using AI?
Yes. Dexda uses machine learning and natural language processing for pattern identification and tag generation.
- Does LogicMonitor use customer data to train their models?
For Dexda, the AI engine is pre-trained and the models do not combine data from other customers. In certain other LogicMonitor features like dynamic thresholds, we use your historical data but it’s only your data – we do not combine it with other customers’ private data.
- What is machine learning?
Machine learning is the use of algorithms that improve automatically through historical analysis and experience.
- What is event clustering?
Event clustering automatically groups event alerts in a correlation into their most succinct form, vastly reducing the time it takes for support teams to reason about the mass of alerts. Effective event clustering can reduce alerts by 80% or more.