
Explore Hyperledger Firefly, an open-source platform simplifying blockchain application development for safe and scalable solutions. Learn about Hyperledger's suite of enterprise-grade frameworks and tools.

Explore best practices for secure, reliable, and scalable open-source LLM deployments in enterprise settings.

Explore the transition to open source ML models for production, focusing on security, performance, and scalability. Learn how AI companies leverage these models for core workloads.

Deploy SurrealDB cluster on Kubernetes. Learn to set up kubectl, Helm, TiKV for persistence, and access the database locally. Ideal for scalable, multi-model database solutions.

Explore real-time online applications with Sergei Gorlatch. Learn about challenges, innovative frameworks, cloud computing, and software-defined networking for optimizing performance and user experience.

Explore OpenShift variants, from compact to large-scale, and learn selection criteria for different deployment scenarios. Discover installation and management tools for efficient scaling.

Explore KubeArchive, a system for archiving Kubernetes objects to permanent storage, improving cluster performance by reducing stale objects and offering API-based retrieval.

Explore serverless techniques for building scalable business logic using function flows, combining Microprofile, CloudEvents, and KNative Eventing for enhanced control and visibility.

Explore innovative approaches to leveraging Kubernetes API for SaaS platforms. Learn about KCP, a CNCF project addressing multi-tenancy challenges in Kubernetes-based environments.

Explore challenges in applying academic performance analysis techniques to real-world software, focusing on experiences with the Linux kernel using Perun performance management system.

Explore real-time personalization architecture using Apache Kafka and Spark for advanced content recommendation systems in data engineering and AI.

Simplify WordPress deployment and management in cloud environments using the WordPress software operator with Juju. Automate setup and scaling on Kubernetes clusters for various cloud platforms.

Explore Kubernetes 1.27's new alpha feature: in-place pod vertical scaling. Learn concepts, new fields, and see a demo on K3s to update pod resources without restarting.

Deploy vLLM on Kubernetes for efficient LLM inference and serving. Learn basics, local setup, and production deployment with GPU-attached nodes via DaemonSet. Includes hands-on demo and cost-saving strategies.

Deploy serverless inference endpoints efficiently. Learn setup, use cases, and cost comparisons for API-based machine learning model deployment.

Discover practical tips for managing data in scalable LLM systems. Learn how LlamaIndex and Ray provide tools for building robust, production-ready AI applications using private data.

Explore OneDigital's journey in building a scalable ML platform using Ray and Anyscale. Learn about architecture, strategies, and retail use cases for advanced ML models.

Learn to develop, evaluate, and scale RAG-based LLM applications for production, including advanced topics like hybrid routing to bridge the gap between open-source and closed LLMs.

Explore network performance variability in cloud computing and its impact on HPC workload scalability, comparing cloud providers with on-premise systems.

Explore cutting-edge graph database technology scaling to 100,000+ cores. Learn about GDI, a new interface for high-performance, scalable graph processing in distributed memory systems.

探索使用WasmEdge和Kuasar在Kubernetes上部署LLM工作负载,提高效率、可扩展性和稳定性。了解如何克服传统方法的挑战,实现快速、灵活、资源高效和安全的LLM应用程序开发。