Bpb publications feb 2025 (2 risultati)

Taschenbuch. Condizione: Neu. Neuware - DESCRIPTION Over the past few years, we have seen leaps and strides in ML and most recently generative AI. Companies and software teams are rushing to enhance, rebuild, and create new software offerings with this new intelligence. As they innovate and create delightful new experiences for their customers new challenges arise. Understanding how these applications work and how to use state-of-the-art infrastructure tools like Kubernetes will help organizations and professionals succeed with this new technology.The book covers essential technical implementations from ML fundamentals through advanced deployment strategies, focusing on practical patterns. Core topics include Kubernetes-native GPU scheduling and resource management, MLOps pipeline architectures using Kubeflow/MLflow, and advanced model serving patterns. It details data management architectures, vector databases, and RAG systems, alongside monitoring solutions with Prometheus/Grafana. Finally, we will look at some advanced concerns for production in the realm of security and data reliability. After reading this book, you will be equipped with a broad knowledge of the end-to-end generative AI pipeline and how Kubernetes can be leveraged to run your generative AI workloads at scale in the real-world.KEY FEATURES ? Learn how Kubernetes can help you run your generative AI workloads.? Using hands-on examples, you will work with real-world foundational models and a variety of tools and capabilities in the K8s ecosystem.? A broad survey of both generative AI and Kubernetes in one book.WHAT YOU WILL LEARN? How to evaluate and compare models for new applications and use cases.? How Kubernetes can add reliability and scale to your AI applications.? What does an AI delivery pipeline contain and how to start one.? How AI models encode words and work with natural language.? How prompting and refinement techniques can improve results.? How to use your own data to augment AI responses.WHO THIS BOOK IS FORThis book is for teams building new applications or new functionality with generative AI, but want to better understand the infrastructure needed to bring their AI applications to production. This book is also for shared services, infrastructure, or cybersecurity teams who provide platforms and infrastructure for application, or product development.…

Taschenbuch. Condizione: Neu. Neuware - DESCRIPTION Explore the dynamic intersection of Kubernetes and observability in this comprehensive guide Observability for Kubernetes Application. This book explains the intricacies of monitoring, logging, and tracing within the Kubernetes environment. Uncover practical strategies for mastering the telemetry signals to get a holistic understanding of system behavior.This technical guide provides a comprehensive coverage of Kubernetes observability, progressing from fundamental principles to advanced implementation patterns. It examines the three pillars - metrics, logs, and traces - alongside their collection and correlation methodologies. The book explores tool selection, OpenTelemetry standardization, and instrumentation techniques while diving into KPI implementation and eBPF profiling. Advanced topics cover multi-cloud observability, platform scaling, and AI-driven approaches, providing practical solutions for establishing robust observability in Kubernetes environments.Our aim is to provide you with convenient ways to master the telemetry signals using the right tools and future-proofing strategies. This book equips you to navigate the complexities of modern container orchestration by elevating the monitoring practices, and ensuring the application is available at all times.KEY FEATURES ? Learn why Kubernetes observability is vital for today's app reliability.? Master metrics, logs, and traces with practical Kubernetes observability.? Explore diverse tools and AIOps for automated, secure Kubernetes monitoring.WHAT YOU WILL LEARN? Build a key observability platform to make apps strong and reliable.? Understand core observability ideas using easy Kubernetes examples.? Use metrics, logs, and traces to get vital app insights.? Find and fix Kubernetes errors fast by linking data signals.? Securely scale your platform using smart cost and security tips.? Apply AI to monitor Kubernetes and automate issue resolution.WHO THIS BOOK IS FORStudents, software developers, platform administrators, and site reliability engineers will find this book valuable. With a little understanding of Kubernetes concepts, they will be able to better apply the observability strategies and improve the resiliency of the Kubernetes platform.…