The Devops Engineer Who Never Sleeps — Diamond Bishop, Datadog
AI Summary
Overview
Diamond discusses the development of AI agents at Datadog, focusing on the “DevOps engineer who never sleeps” concept.
Key Points
- Background:
- Diamond has 15 years of AI experience, from Microsoft Cortana to Datadog.
- Datadog is an observability and security platform for cloud applications.
- AI Development History at Datadog:
- AI features like proactive alerting and impact analysis have been utilized since around 2015.
- Current shift towards larger models and intelligence becomes cost-effective.
- Current AI Agents in Beta:
- AI On-Call Engineer:
- Responds to alerts, conducts automatic investigations by checking logs, metrics, and traces, and helps reduce nighttime alerts.
- AI Software Engineer:
- Analyzes errors, suggests code fixes, and improves system reliability by automating tests and generating pull requests.
- Key Learnings from Developing AI Agents:
- Importance of defining measurable tasks for evaluation and UX improvements.
- Collaboration between humans and AI agents is crucial for building trust.
- Observability and the understanding of complex workflows are essential.
- Future of AI Agents:
- Anticipates a rise in agents that act on behalf of humans, potentially surpassing human users.
- Encourages organizations to think about agents that may utilize their systems in development.