Skip to content

AIOps Tips & Notes

homepage-banner

The general process by which AIOps platforms and solutions operate includes three basic steps:

  1. observe
  2. engage
  3. act

How and Where AIOps Delivers Value

  1. Increase end-to-end business application assurance and uptime.
  2. Optimize IT and reduce IT costs.
  3. Free up resources to enable IT operations to become a proactive source of innovation.

What the AIOps Architecture Looks Like

  1. Open data ingestion
  2. Auto-discovery
  3. Correlation
  4. Visualization
  5. Machine learning
  6. Automation

Getting Started with AIOps

  1. Collecting Unstructured Data from Hybrid IT
  2. Presenting Data to Enable Faster Troubleshooting/Trendspotting
  3. Increasing Operational Efficiency in Virtualized Environments

Looking at AIOps Use Cases

  1. Root-Cause Analysis of Business and Security Incidents
  2. Resource Planning, Optimization, and Workload Management
  3. Migration
  4. Audit and Compliance

Ten Key Capabilities in the FixStream AIOps Platform

  1. Auto-discovering physical, virtual, and logical entities across hybrid IT data centers, without agents
  2. Capturing an accurate inventory of physical, virtual, and logical infrastructure assets requiring very detailed intelli- gence of vendor-specific implementation and protocol support
  3. Automatically pushing the inventory data into a configuration management database (CMDB)
  4. Automatically discovering application services and their flows
  5. Correlating all operational data for a specific application, from the transaction layer to the services and to the infrastructure layers
  6. Dynamically binding flows using flow analytics in a logical group that comprises a specific multi-tier application
  7. Mapping application flow information onto available paths
  8. Storing millions of events in time-series
  9. Identifying anomalies across all typical variables
  10. Detecting patterns and predicting incidents so that they can be fixed before they occur

AIOps Visibility

AIOps-Visibility

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

  1. Security
  2. Asset management
  3. Root-cause analysis
  4. Change management
  5. Impact analysis
  6. Capacity management
  7. Performance and availability management, and more

Exploring Key AIOps Use Cases

  1. Managing Thresholds
  2. Allowing Machine Learning to Find Patterns in Alert Data
  3. Pinpointing the Cause of Service Issues
  4. Using Natural Language Processing to Uncover the Past
  5. Faster Categorization and Assignment
  6. Acting on AI’s Operational Insights

Your AIOps Journey

  1. Build Your AIOps Team
  2. Define Your AIOps Use Cases
  3. Establish Implementation Principles
  4. Create Your AIOps Technology Plan
  5. Establish Visibility with a Trustworthy CMDB
  6. Monitor the Health of Your Services
  7. Optimize Service Health through Automation
  8. Review and Learn for Continuous Improvement
  9. Share Your Success with the Enterprise

Ten Considerations for Implementing AIOps

  1. Understand Your Goals and Objectives
  2. Have Realistic Expectations
  3. Give Machines Time to Learn, Too
  4. Use CMDB to Give AIOps Visibility
  5. Remember That ITSM Is Essential for AIOps
  6. Map Your Services
  7. Respond Faster with Automation
  8. One Size Doesn’t Fit All
  9. Build the Right Team
  10. Plan Big, Start Small, and Iterate Fast

Reference

  1. AIOps For Dummies
  2. AIOps & Visibility For Dummies
  3. https://www.gartner.com/smarterwithgartner/how-to-get-started-with-aiops
  4. Enterprise AIOps - A Framework for Enabling Artificial Intelligence
  5. Hands-on AIOps Best Practices Guide to Implementing AIOps, Navin Sabharwal, Gaurav Bhardwaj
  6. https://www.linkedin.com/pulse/devops-vs-aiops-confused-which-right-fit-dimpal-sharma-s0c0c/
  7. https://www.servicenow.com/lpebk/aiops-visibility-dummies.html
Feedback