Here’s a comprehensive list of AIOps tools categorized by their usage, presented in a clear tabular format:
Monitoring and Observability
Tool Name
Description
Dynatrace
Provides AI-driven monitoring for applications, infrastructure, and user experience.
Datadog
Offers monitoring, security, and analytics for cloud-scale applications.
New Relic
Delivers end-to-end observability for applications and infrastructure with integrated AI insights.
AppDynamics
Provides application performance management with business insights and AI-driven anomaly detection.
Splunk
Offers operational intelligence through monitoring and real-time analytics of machine data.
Prometheus
An open-source monitoring system with a powerful query language for metric collection and analysis.
Nagios
Provides comprehensive monitoring of systems, networks, and infrastructure.
Incident Management
Tool Name
Description
PagerDuty
Provides incident response and alerting capabilities, integrating with monitoring and ITSM tools.
ServiceNow ITOM
Offers incident management with AI-driven root cause analysis and automated remediation.
Opsgenie
Provides on-call scheduling, alert management, and incident response orchestration.
VictorOps
Offers incident management and collaboration for DevOps and IT teams.
Automation and Orchestration
Tool Name
Description
Ansible
Provides automation and orchestration for IT infrastructure and applications.
Chef
Automates infrastructure configuration, deployment, and management.
Puppet
Manages and automates infrastructure configuration with a focus on compliance and security.
Jenkins
Offers automation for continuous integration and continuous delivery (CI/CD) pipelines.
SaltStack
Provides event-driven automation and configuration management for IT operations.
Terraform
Automates infrastructure provisioning and management through Infrastructure as Code (IaC).
Analytics and Insights
Tool Name
Description
Moogsoft
Provides AI-driven analytics for incident detection, root cause analysis, and operational insights.
BigPanda
Offers event correlation and automation for IT operations, powered by AI and machine learning.
Sumo Logic
Delivers cloud-native analytics for monitoring and security with AI-driven insights.
Elastic Stack (ELK)
Provides a suite of tools for search, logging, and analytics, including Elasticsearch, Logstash, and Kibana.
Security Operations
Tool Name
Description
Splunk Enterprise Security
Offers security information and event management (SIEM) with AI-driven threat detection.
IBM QRadar
Provides SIEM and threat intelligence with AI-driven analytics and automation for security operations.
SentinelOne
Offers endpoint protection with AI-driven threat detection and response capabilities.
Cloud and Infrastructure Management
Tool Name
Description
AWS CloudWatch
Provides monitoring and management for AWS cloud resources with AI-driven insights.
Google Cloud Operations Suite
Offers monitoring, logging, and diagnostics for applications on Google Cloud Platform.
Azure Monitor
Provides comprehensive monitoring and management of applications and infrastructure in the Azure cloud.
Splunk AIOps: It is a cloud-based AIOps platform that helps organizations to automate IT operations. It uses machine learning to detect anomalies, identify root causes, and recommend remediation actions.
Dynatrace AIOps: It is an AIOps platform that helps organizations to predict and prevent problems. It uses machine learning to analyze telemetry data from applications, infrastructure, and users to identify potential problems before they cause outages.
New Relic AIOps: It is an AIOps platform that helps organizations to improve their IT operations by automating tasks, identifying problems, and resolving incidents faster. It uses machine learning to analyze data from applications, infrastructure, and users to identify potential problems and recommend remediation actions.
IBM Watson AIOps: It is an AIOps platform that helps organizations to improve their IT operations by automating tasks, identifying problems, and resolving incidents faster. It uses machine learning to analyze data from applications, infrastructure, and users to identify potential problems and recommend remediation actions.
Google Cloud AIOps: It is an AIOps platform that helps organizations to improve their IT operations by automating tasks, identifying problems, and resolving incidents faster. It uses machine learning to analyze data from applications, infrastructure, and users to identify potential problems and recommend remediation actions.
There are many AIOPS (Artificial Intelligence for IT Operations) tools available, here are a few examples:
ynatrace: Dynatrace is an AIOps platform that focuses on application performance monitoring and management. It uses AI to automate and optimize various aspects of application monitoring, including performance analysis, root cause identification, and real-time insights.
Splunk IT Service Intelligence (ITSI): Splunk ITSI is part of the Splunk platform and offers AI-driven insights for IT operations. It combines machine learning and event correlation to provide real-time visibility into the health of IT services, predict and prevent issues, and automate incident response.
Moogsoft AIOps: Moogsoft AIOps is designed to help IT teams detect and resolve incidents more effectively. It uses machine learning to identify anomalies, provide context to alerts, and facilitate collaboration among IT personnel for faster problem resolution.
AppDynamics: AppDynamics, now a part of Cisco, provides AIOps capabilities for application performance monitoring. It uses AI and machine learning to analyze application data, detect anomalies, and provide insights into performance bottlenecks and user experiences.
PagerDuty: PagerDuty offers an incident management platform with AIOps features. It uses AI to help teams identify, prioritize, and respond to incidents by providing real-time insights, automatic alerts, and on-call management.
OpsRamp: OpsRamp provides an AIOps platform for hybrid infrastructure management. It combines infrastructure monitoring, event management, and service desk capabilities with AI-driven insights for proactive IT operations.
IBM Watson AIOps: IBM Watson AIOps leverages AI and machine learning to automate IT operations. It helps detect, diagnose, and resolve incidents by analyzing data from multiple sources and predicting potential issues.
BigPanda: BigPanda is an AIOps platform that focuses on consolidating and correlating alerts from various monitoring tools. It uses machine learning to prioritize alerts, group related incidents, and provide context for efficient incident resolution.
LogicMonitor: LogicMonitor is an AIOps platform that specializes in infrastructure monitoring and observability. It uses AI to analyze performance data, predict trends, and identify anomalies in cloud, on-premises, and hybrid environments.
ScienceLogic: ScienceLogic provides an AIOps platform for hybrid cloud and IT operations management. It offers automated discovery, monitoring, and troubleshooting with AI-driven insights for improved visibility and proactive incident resolution.
