AIOps and Visibility
Introduction
Artificial Intelligence for IT Operations (AIOps) is the use of artificial intelligence (AI) to manage the digital complexity of modern organizations. Modern IT complexity comes from:
- Data volume, variety, and speed of ingestion
- Cloud and on-premises architectures
- Virtualized and cloud-native applications
- Containers and serverless computing
Discovering what you need to manage
- Security
- Asset management
- Root-cause analysis
- Change management
- Impact analysis
- Capacity management
- Performance and availability management, and more
Exploring Key AIOps Use Cases
- Managing Thresholds
- Allowing Machine Learning to Find Patterns in Alert Data
- Pinpointing the Cause of Service Issues
- Using Natural Language Processing to Uncover the Past
- Faster Categorization and Assignment
- Acting on AI’s Operational Insights
Your AIOps Journey
- Build Your AIOps Team
- Define Your AIOps Use Cases
- Establish Implementation Principles
- Create Your AIOps Technology Plan
- Establish Visibility with a Trustworthy CMDB
- Monitor the Health of Your Services
- Optimize Service Health through Automation
- Review and Learn for Continuous Improvement
- Share Your Success with the Enterprise
Ten Considerations for Implementing AIOps
- Understand Your Goals and Objectives
- Have Realistic Expectations
- Give Machines Time to Learn, Too
- Use CMDB to Give AIOps Visibility
- Remember That ITSM Is Essential for AIOps
- Map Your Services
- Respond Faster with Automation
- One Size Doesn’t Fit All
- Build the Right Team
- Plan Big, Start Small, and Iterate Fast
Reference
https://www.servicenow.com/lpebk/aiops-visibility-dummies.html