4/17/2025 Serving the Future: KServe’s Next Chapter in Hosting LLMs & GenAI Models LLMsGenAImodel hostingCNCFKubernetesAI inference As large language models (LLMs) and generative AI (GenAI) continue to redefine the landscape of artificial intelligence, the need for scalable, efficient, and flexible model hosting solutions has never been more critical. Kubernetes Native Serving (KServe), a project under the Cloud Native Computing Foundation (CNCF), has emerged as a pivotal tool for deploying and managing AI inference workloads. This article explores KServe’s latest advancements in hosting LLMs and GenAI models, focusing on its architecture, key features, performance optimizations, and future directions.
4/17/2025 AI, CERN, and the Quest for GPU Custody: How CERN Leverages DRA for Efficient GPU Resource Management DRAGPU sharingGPU custodyCNCFLHC CERN, the European Organization for Nuclear Research, operates the Large Hadron Collider (LHC), the world’s largest particle accelerator, generating vast amounts of data from high-energy collisions. As AI and machine learning become integral to data analysis, the demand for GPU resources has surged. However, GPU scarcity and the complexity of managing shared resources have posed significant challenges. To address these issues, CERN has turned to dynamic GPU resource allocation (DRA), a groundbreaking solution that redefines GPU custody and sharing in large-scale scientific computing environments. This article explores how DRA enables efficient GPU utilization, its technical underpinnings, and its role in advancing AI-driven research at CERN.
4/17/2025 Observability and Open Telemetry: Bridging Technical and Non-Technical Domains observabilityopen telemetrySIGCNCF Observability has emerged as a critical pillar in modern system design, enabling teams to understand complex distributed environments through data collection, analysis, and actionable insights. This article explores the role of Open Telemetry in standardizing observability practices, its integration within the Cloud Native Computing Foundation (CNCF), and its potential to transcend traditional technical boundaries into non-technical domains such as recruitment, aviation, and healthcare.
4/17/2025 Beyond the Ephemeral: Mastering Serverless Metrics at Scale With Shopify serverlessmetrics instrumentationmetrics ingestionmetric platformCNCF As serverless architectures gain traction, the need for robust metrics instrumentation becomes critical. Shopify, a global e-commerce platform, faced unique challenges in scaling observability to meet the demands of its distributed infrastructure. This article explores how Shopify leveraged serverless technologies, CNCF standards, and advanced metric platforms to achieve scalable observability, addressing the complexities of metrics ingestion, routing, and cardinality control.
4/17/2025 From Logs To Insights: Kubernetes & Slack Integration with CNCF Ecosystem KubernetesSlackcache service podCNCF In modern cloud-native environments, Kubernetes has become the de facto standard for container orchestration. However, troubleshooting issues in distributed systems remains a complex challenge. This article explores how integrating Kubernetes with Slack, combined with CNCF ecosystem tools, enables real-time insights and automated diagnostics. By leveraging log analysis, vector embeddings, and Retrieval-Augmented Generation (RAG), we transform raw logs into actionable intelligence, significantly reducing mean time to resolution (MTTR).
4/17/2025 SLOs as an Organizational 'Check Engine' Light SLOsContinuous DeploymentBuild and Test InfrastructureDeployment InfrastructureCNCF Service Level Objectives (SLOs) serve as critical indicators of organizational health, much like a car's 'check engine' light. By monitoring system reliability and performance, SLOs provide actionable insights to guide decision-making and prevent operational degradation. This article explores how SLOs, when integrated with Continuous Deployment, Build and Test Infrastructure, and Deployment Infrastructure, can act as a proactive mechanism for organizational alignment and risk mitigation within the context of CNCF tools and practices.
4/17/2025 Unlocking Customer-Centric Observability with Open Telemetry and Cloud-Native Technologies open telemetrymean time to detectcustomer-centric observabilitycloud-native technologiesAI native development platformCNCF In the era of cloud-native technologies and AI-native development platforms, achieving real-time visibility into customer interactions has become critical for maintaining service quality and user satisfaction. Enterprises leveraging these technologies face the challenge of monitoring thousands of services and hundreds of web applications, requiring a robust observability framework to detect and resolve issues swiftly. This article explores how customer-centric observability, powered by Open Telemetry and cloud-native principles, enables organizations to reduce mean time to detect (MTD) to under three minutes while precisely assessing customer impact.
4/17/2025 The Art and Craft of No: Automating Observability with Zero Touch Instrumentation observabilityautomationTelemetrytoilTelemetry collectionCNCF In the modern era of cloud-native development, observability has become a cornerstone of system reliability and performance optimization. However, traditional instrumentation practices often lead to significant operational overhead, commonly referred to as *toil*. This article explores how zero-touch instrumentation, powered by automation and advanced telemetry collection techniques, can drastically reduce toil while enhancing observability. By leveraging tools like Open Telemetry, eBPF, and LD_PRELOAD, we can achieve seamless, automated monitoring without modifying application code.
4/17/2025 Building Scalable and Observable RAG Services with Generative AI Infrastructure Generative AI InfrastructureCluster AutoscalerCNCFMulticluster Fleet ManagerKubernetesContainer Management Platforms Retrieval-Augmented Generation (RAG) has emerged as a critical framework for building question-answering systems that leverage private or proprietary data, avoiding reliance on third-party AI services. This article explores the technical architecture and implementation strategies for deploying a scalable and observable RAG service, emphasizing the role of generative AI infrastructure, Kubernetes, and CNCF tools such as Cluster Autoscaler and Multicluster Fleet Manager. The focus is on balancing performance, cost-efficiency, and observability while addressing the challenges of dynamic resource management and model optimization.
4/17/2025 Observability and Mobile Performance: Transforming Android Applications with Open Telemetry ObservabilityMobile PerformanceOpen TelemetryAndroid PerformanceCNCF In the realm of mobile application development, ensuring optimal performance is critical to user satisfaction and business success. As applications grow in complexity, traditional monitoring tools often fall short in providing the granular insights needed to diagnose and resolve performance bottlenecks. Observability, particularly through frameworks like Open Telemetry, has emerged as a pivotal solution for addressing these challenges. This article explores how observability, combined with Open Telemetry and CNCF technologies, transforms mobile performance optimization, with a focus on Android applications.