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Explore adapting platforms for AI applications, focusing on LLM integration, golden paths, and production-grade capabilities. Learn to build an AI-ready platform and implement a composer AI assistant.
Explore Elastic's architecture for a multi-cloud, multi-region platform using Kubernetes controllers, addressing challenges and leveraging CNCF tools for scalability and efficiency.
Explore AI-powered Kubernetes controllers using LLMs for automated cluster operations, upgrades, and troubleshooting. Witness live demos of speech-enabled controllers for auditing, chaos simulation, and security scanning.
Explore cloud native security challenges, including attack surface growth, regulatory pressures, and supply chain complexities. Learn strategies to shift from reactive to proactive security and achieve SLOs.
Explore Backstage's latest features, project governance updates, and future roadmap with maintainers Ben Lambert and Patrik Oldsberg from Spotify.
Explore synergy between Chaos and Platform Engineering to enhance system reliability. Learn to apply chaos-first principles for proactive weakness identification and mitigation, creating resilient platforms.
Explore dynamic resource allocation in Kubernetes: its advantages, current state, and future challenges. Learn about custom hardware support, resource sharing, and community feedback needs.
Explore cloud-native local storage solutions for accelerating data-intensive applications in Kubernetes, focusing on AI/ML, middleware, edge computing, and virtualization scenarios.
Explore the development of a cloud-native edge AI platform for real-time seismic activity analysis in mines, addressing challenges in data processing, deployment, and storage in resource-constrained environments.
Explore OAuth2.0 flows, challenges in microservice environments, and the OAuth2 Token Exchange standard for secure API authentication and identity propagation.
Discover how to deploy LLM applications efficiently using LangChain and Kubernetes. Learn to streamline NLP components and manage infrastructure for smooth transition from training to real-world scenarios.
Practical guide for deploying and managing self-hosted Large Language Models on Kubernetes, covering model selection, containerization, and resource provisioning for enhanced data privacy and flexibility.
Explore Thanos query processing, from UI input to data retrieval and PromQL evaluation. Learn effective Thanos configuration and deployment for highly available Prometheus setups with long-term storage capabilities.
Enhance Apache Spark's reliability on Kubernetes with Cloud Shuffle Manager, enabling fault tolerance and cost savings through Spot Instances while maintaining performance for large-scale data processing.
Explore cloud native computing advancements and connect with industry leaders in this keynote address by Priyanka Sharma, Executive Director of CNCF, at KubeCon + CloudNativeCon.
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