Session
KubeAIOps: Design Patterns and Strategies for AI-Driven Application Management on Kubernetes
What if deploying, scaling, or troubleshooting Kubernetes apps could be guided by intent, not YAML? KubeAIOps merges Kubernetes, DevOps, and AIOps with agentic AI and natural language interfaces to simplify app lifecycle management—making Kubernetes accessible for devs and powerful for ops.
We’ll explore how LLMs, agentic architectures, and protocols like MCP/A2A turn natural language into cluster actions. We will explore natural language deployment, scaling, and self-healing, integration strategies for existing workflows, while addressing limitations, security, and human oversight.
Attendees will learn:
- Core concepts and architectural patterns for KubeAIOps
- Automating app/infra ops with AI agents
- Use-cases: “deploy my app” to auto-remediation via natural language
- Integrating KubeAIOps with DevOps/GitOps
- Caveats, challenges, and best practices
Whether you’re a dev streamlining deployments or ops embracing automation, join to see how KubeAIOps shapes your app's future.
Flamur Gogolli
Senior Specialist Solutions Architect @ AWS
London, United Kingdom
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