AI for DevOps – Using Metrics, KPIs, and Analytics to Drive Continuous Improvement


Andi Mann (Chief Technology Advocate, Splunk)

Location: Grand Ballroom G

Date: Thursday, May 3

Time: 2:00pm - 2:50pm

Pass Type: All Access, Conference

Format: Conference Session

Track: DevOps

Audience: Advanced

Vault Recording: TBD

Audience Level: Advanced

As DevOps moves into “Day 2,” it is maturing beyond task-based CI/CD automation, toward a culture of continuous learning based on fast feedback loops. Leading this change, organizations are measuring and sharing metrics, KPIs, and analytics from every team, every activity, and every service, from initial planning to production management.

More than just reporting speed and feeds, DevOps leaders are bringing artificial intelligence (AI) techniques to DevOps – using big data, machine learning, predictive analytics, operational intelligence, algorithmic operations, service telemetry, application instrumentation, and “AIOps” to support data-driven decisions.

Backed with research data and real-world case studies, this session will help developers, engineers, administrators, and DevOps leaders learn how to apply metrics, KPIs, and analytics in order to:

  • Accelerate delivery pipelines
  • Improve application quality
  • Monitor real-time operations
  • Find and fix current problems
  • Review historical incidents
  • Predict potential issues
  • Prevent future outages
  • Demonstrate business impact

Presentation File