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AIOps (Artificial Intelligence for IT Operations) brings together observability, automation, analytics, and AI/ML to help IT teams detect, understand, and resolve issues faster.

This document provides a quick and easy summary of the major AIOps features and the top tools/apps implementing them.

1. Full-Stack Observability

What it does

Provides end-to-end visibility across the entire technology stack, including:

  • Infrastructure (VMs, servers, networks)
  • Applications and microservices
  • Cloud resources
  • Databases and APIs
  • Containers / Kubernetes

Observability includes metrics, logs, traces, and events in one unified view.

Apps Using This Feature

  • Dynatrace (OneAgent full-stack observability)
  • Splunk Observability Cloud 
  • IBM Instana 
  • Datadog, New Relic (industry popular)

2. AI-Based Root-Cause Analysis (RCA)

What it does

Uses machine learning to automatically:

  • Analyze telemetry data
  • Identify the true cause of incidents
  • Show dependency and impact relationships
  • Reduce manual troubleshooting time

Apps Using This Feature

  • Dynatrace Davis AI (causal AI) 
  • IBM Watson AIOps (probabilistic reasoning) 
  • Splunk ITSI (correlation searches + insights) 

3. Event Correlation & Alert Noise Reduction

What it does

  • Groups related alerts into a single problem
  • Eliminates duplicate or irrelevant alerts
  • Reduces alert fatigue for engineers
  • Helps teams focus on meaningful incidents

Apps Using This Feature

  • Splunk ITSI (Event Analytics) 
  • IBM AIOps Event Manager 
  • Dynatrace Problem Correlation 
  • BigPanda and Moogsoft (specialized correlation tools)

4. Causal Relationships & Service Dependency Mapping

What it does

Shows how components depend on each other:

  • Maps services, APIs, nodes, databases
  • Shows “cause → effect” chains
  • Helps understand impact radius during outages

Apps Using This Feature

  • Dynatrace Smartscape Dependency Maps 
  • IBM Cloud Pak for AIOps (Topology & Causal Models) 
  • Splunk ITSI Service Maps 
  • Instana Service Graph 

5. Early Anomaly Detection

What it does

AI detects unusual patterns before they become incidents:

  • Latency deviation
  • Traffic spikes
  • Resource leaks
  • Error rate patterns

Helps prevent outages and downtime.

Apps Using This Feature

  • Dynatrace (automatic anomaly detection) 
  • Splunk ITSI adaptive thresholds 
  • IBM Instana anomaly detection 

6. Automated Remediation

What it does

Executes automated or semi-automated actions such as:

  • Restarting crashed services
  • Scaling resources
  • Running scripts
  • Clearing cache
  • Deploying fixes
  • Triggering workflows or runbooks

Can be auto, manual, or with human approval.

Apps Using This Feature

  • Dynatrace Automation / Workflows 
  • Splunk Phantom (SOAR) + ITSI Actions 
  • IBM Runbook Automation / Cloud Pak for Automation 

7. Hybrid-Cloud Insights

What it does

Provides consistent monitoring and automation across:

  • On-prem systems
  • Private cloud
  • Public cloud (AWS, Azure, GCP)
  • Kubernetes clusters

Apps Using This Feature

  • Dynatrace (multi-cloud) 
  • IBM Instana 
  • Splunk Observability 

8. RMM, Ticketing & Automation (for MSPs)

What it does

Used mainly by Managed Service Providers for:

  • Remote Monitoring & Management (RMM)
  • Patch management
  • Endpoint monitoring
  • Auto-ticket creation
  • Workflow automation

Apps Using This Feature

  • NinjaOne 
  • Atera 
  • ManageEngine RMM 
  • ConnectWise Automate 

 

📌 Quick Summary Table

Feature What It Means Apps Using It
Full-Stack Observability End-to-end monitoring with metrics, logs, traces Dynatrace, Splunk, Instana
AI Root-Cause Analysis AI finds exact cause of incidents Dynatrace Davis, IBM AIOps, Splunk ITSI
Event Correlation Groups related alerts, removes noise Splunk ITSI, IBM AIOps, Dynatrace
Causal Relationships Maps cause→effect across services Dynatrace, IBM AIOps, Splunk, Instana
Early Anomaly Detection AI detects issues early Dynatrace, Splunk, Instana
Automated Remediation Auto-heal workflows Dynatrace, Splunk Phantom, IBM Runbooks
Hybrid-Cloud Insights Unified monitoring for multi-cloud Dynatrace, Instana, Splunk
RMM for MSPs Remote management, ticketing NinjaOne, Atera, ManageEngine