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Measuring Containerization Value for Enterprise Build Systems
Not everything needs to be containerized. The real value comes from understanding your workflow and making pragmatic decisions about what to containerize and what to leave on conventional infrastructure. ...

Setting Up Scalable Monitoring With Prometheus, Grafana and Mimir on Kubernetes
A comprehensive and adaptable guide to setting up scalable monitoring with Prometheus, Grafana, and Mimir on Kubernetes ...

Advanced DevOps for AI: Continuous Delivery of Models Using Jenkins and Docker
Learn how to automate the continuous integration/continuous delivery (CI/CD) pipeline for machine learning (ML) models using Jenkins, Docker and Kubernetes ...

Mirantis Adds AI Reference Architecture Based on k0rdent Control Plane
Mirantis this week made available a reference architecture for building and deploying artificial intelligence (AI) workloads using a control plane designed to be deployed on Kubernetes clusters. Company CTO Shaun O’Meara said ...

Challenges of Implementing MACH Architecture & How To Overcome Them
The benefits of the MACH architecture are clear: It enables faster feature launches, enhanced system performance and accelerated innovation ...

Evolving Kubernetes and GKE for Gen AI Inference
The combination of foundational improvements in open-source Kubernetes and powerful, managed solutions on GKE represents a significant leap forward for any organization working with generative AI ...
Akshay Ram | | AI aware load balancing, AI aware routing, benchmark database, cloud-native applications, community driven effort, container orchestration, data driven decisions, developer velocity, Evolving Kubernetes, Gen AI inference, GKE, GKE features, GKE Inference Quickstart, GPUs, Inference Gateway, inference perf project, intelligent scheduling, Kubernetes primitives, KV cache utilization, large models, latency vs throughput curves, microservices, model replica routing, open source Kubernetes, request response patterns, scaling, seamless portability, specialized hardware, standardized benchmarking, tail latency reduction, throughput increase, total cost of ownership, TPU serving stack, TPUs, user experience, vLLM library

Automating Kubernetes Cleanup in CI Workflows
Continuous integration (CI) practices are now mainstream and have significantly increased deployment frequency while decreasing defect rates for organizations worldwide. This boosts mean time to repair (MTTR), market responsiveness, risk reduction, software ...

Scaling Real-Time Chat Applications With Docker Swarm and WebSockets
Scaling WebSocket-based chat applications using Docker Swarm, including practical approaches, real-world examples, advanced features and future prospects ...

Navigating the Complexities of Rapidly Scaling Kubernetes Environments
Managing Kubernetes traffic with disparate technologies creates challenges, especially when scaling, emphasizing the need for tool consolidation ...

Chainguard Adds Support for Multi-Layer Hardened Container Images
Chainguard has added support for multi-layer images to its repository for accessing hardened container images that are free of vulnerabilities. Jason Hall, principal engineer for Chainguard, said that while it has been ...