Vector Operator On Kubernetes
DOWNLOAD
Download Vector Operator On Kubernetes PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Vector Operator On Kubernetes book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Vector Operator On Kubernetes
DOWNLOAD
Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-13
Vector Operator On Kubernetes written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-13 with Computers categories.
"Vector Operator on Kubernetes" "Vector Operator on Kubernetes" is an authoritative guide to deploying, operating, and scaling high-performance observability pipelines in Kubernetes environments. Beginning with a deep exploration of Vector's architecture and the Kubernetes Operator pattern, this book unpacks the core design principles and operational models behind automated, declarative log and metric data processing. Readers will master custom resource management, lifecycle orchestration, security frameworks, and the advanced interactions between Operators and the Kubernetes API through practical, real-world perspectives. The book then delves into practical deployment and operational management, from cluster and namespace scoping to high availability, disaster recovery, and seamless configuration management using modern Kubernetes toolchains. Advanced chapters explore dynamic pipeline updates, auto-discovery of log sources, secure handling of secrets, and policy enforcement for large-scale, production-ready telemetry pipelines. Detailed discussions illuminate robust transformation, filtering, enrichment strategies, and the seamless integration of cloud, on-prem, and edge data sinks—with rigorous coverage of reliability, security, and performance at every step. Rounding out with sections on scaling, compliance, and integration into the wider observability ecosystem, the book provides proven techniques for sharding, resource optimization, regulatory alignment, and multi-cluster telemetry architectures. Comprehensive case studies, failure analyses, and forward-looking coverage of emerging technologies like WASM and eBPF offer pragmatic insights for teams adopting or enhancing Vector Operator. Whether you’re an architect, SRE, or platform engineer, "Vector Operator on Kubernetes" is your complete reference for delivering resilient, secure, and future-proof observability in cloud-native systems.
Prometheus Operator On Kubernetes Essentials
DOWNLOAD
Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-12
Prometheus Operator On Kubernetes Essentials written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.
"Prometheus Operator on Kubernetes Essentials" "Prometheus Operator on Kubernetes Essentials" is a definitive guide for DevOps engineers, SREs, and architects navigating the complexities of monitoring dynamic, cloud-native environments with Kubernetes. Through an organized progression from fundamental observability concepts to advanced deployment patterns, this book dissects the unique monitoring requirements of Kubernetes, contrasting legacy approaches with the transformative Power of Prometheus and the Operator pattern. Readers gain a comprehensive understanding of observability pillars—metrics, logs, traces, and events—while learning to overcome challenges posed by traditional monitoring systems. Delving deep into the architecture and lifecycle of the Prometheus Operator, the book equips readers to extend the Kubernetes API with Custom Resource Definitions, automate monitoring workflows, and implement robust security and multi-tenancy safeguards. Well-structured chapters detail explicit deployment methodologies, scaling strategies for high availability, resource management, and sophisticated disaster recovery techniques. Advanced sections empower teams to extend and customize monitoring using ServiceMonitors, PodMonitors, and the creation of new CRDs, ensuring coverage for complex business scenarios across multi-cluster and federated deployments. The guide’s holistic approach extends to advanced PromQL querying, Alertmanager configuration, and seamless ecosystem integrations—including OpenTelemetry, service mesh observability, and data science workflows. With forward-looking discussions on evolving standards, AIOps paradigms, and real-world industry case studies, "Prometheus Operator on Kubernetes Essentials" is an indispensable resource for building reliable, secure, and scalable observability platforms in modern enterprise environments.
Managing Cloud Native Data On Kubernetes
DOWNLOAD
Author : Jeff Carpenter
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-12-02
Managing Cloud Native Data On Kubernetes written by Jeff Carpenter and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-02 with Computers categories.
Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You’ll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure. With this book, you will: Learn how to use basic Kubernetes resources to compose data infrastructure Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operators Evaluate and select data infrastructure technologies for use in your applications Integrate data infrastructure technologies into your overall stack Explore emerging technologies that will enhance your Kubernetes-based applications in the future
Implementing Gitops With Kubernetes
DOWNLOAD
Author : Pietro Libro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-08-23
Implementing Gitops With Kubernetes written by Pietro Libro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Computers categories.
Learn to integrate and implement the GitOps framework, tools like Kubernetes and Openshift, and best practices across AWS and Azure cloud platforms, ensuring enhanced reliability in your cloud-native infrastructure and application deployments Key Features Master basic and advanced GitOps concepts for efficient cloud-native architectural design and application deployment Set up GitOps workflows for Kubernetes, integrate CI/CD pipelines, and optimize deployment strategies Perform continuous deployment using GitHub, Hel Purchase of the print or Kindle book includes a free PDF eBook Book Description This book covers actionable GitOps practices for automated, secure Kubernetes deployments with industry-tested scenarios. You’ll be able to leverage GitOps to tackle cloud-native software delivery challenges, such as preventing data drifts between systems and Git repositories, and ensuring rapid, error-free deployments. The book introduces GitOps core concepts and principles and then delves into integrating version control and GitOps tools such as Argo CD, Flux CD, Helm, and Kustomize with Kubernetes. You’ll learn about scaling GitOps across multiple clusters, architectural designs for efficient cloud-native operations, and the cultural transformation needed to support GitOps adoption within an organization. As you progress, you’ll be able to automate infrastructure and implement CI/CD processes on OpenShift, MS Azure, and AWS platforms using GitOps, Terraform, OpenTofu, and Argo CD. You’ll also explore examples and best practices for integrating observability, enhancing security, managing financial operations (FinOps), and future trends such as AI and sustainability in GitOps. By the end of this book, you’ll have gained the skills you need to apply GitOps strategies for robust Kubernetes and cloud deployments, thereby boosting your productivity and efficiency. What you will learn Delve into GitOps methods and best practices used for modern cloud-native environments Explore GitOps tools such as GitHub, Argo CD, Flux CD, Helm, and Kustomize Automate Kubernetes CI/CD workflows using GitOps and GitHub Actions Deploy infrastructure as code using Terraform, OpenTofu, and GitOps Automate AWS, Azure, and OpenShift platforms with GitOps Understand multitenancy, rolling back deployments, and how to handle stateful applications using GitOps methods Implement observability, security, cost optimization, and AI in GitOps practices Who this book is for This book is for DevOps engineers, platform engineers, SREs, and cloud engineers who want to get skilled at implementing GitOps practices effectively in cloud-native environments. A foundational understanding of cloud computing, containerization, infrastructure as code, DevOps, CI/CD principles, and Kubernetes will be helpful to get the most out of this book.
Devops With Kubernetes
DOWNLOAD
Author : Hideto Saito
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31
Devops With Kubernetes written by Hideto Saito and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Computers categories.
Leverage the power of Kubernetes to build an efficient software delivery pipeline. Key FeaturesLearn about DevOps, containers, and Kubernetes all within one handy bookA practical guide to container management and orchestrationLearn how to monitor, log, and troubleshoot your Kubernetes applicationsBook Description Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry. This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization. With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we’ll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure. What you will learnLearn fundamental and advanced DevOps skills and tools Get a comprehensive understanding of containersDockerize an applicationAdministrate and manage Kubernetes clusterExtend the cluster functionality with custom resourcesUnderstand Kubernetes network and service mesh Implement Kubernetes logging and monitoringManage Kubernetes services in Amazon Web Services, Google Cloud Platform,and Microsoft Azure Who this book is for This book is for anyone who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills are required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you're advanced, you can get a deeper understanding of all the tools and technique described in the book.
Gitops And Kubernetes
DOWNLOAD
Author : Billy Yuen
language : en
Publisher: Simon and Schuster
Release Date : 2021-03-23
Gitops And Kubernetes written by Billy Yuen and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-23 with Computers categories.
GitOps and Kubernetes teaches you how to use Git and the GitOps methodology to manage a Kubernetes cluster. Summary GitOps and Kubernetes introduces a radical idea—managing your infrastructure with the same Git pull requests you use to manage your codebase. In this in-depth tutorial, you’ll learn to operate infrastructures based on powerful-but-complex technologies such as Kubernetes with the same Git version control tools most developers use daily. With these GitOps techniques and best practices, you’ll accelerate application development without compromising on security, easily roll back infrastructure changes, and seamlessly introduce new team members to your automation process. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology With GitOps you use the Git version control system to organize and manage your infrastructure just like any other codebase. It’s an excellent model for applications deployed as containers and pods on Kubernetes. About the book GitOps and Kubernetes teaches you how to use Git and the GitOps methodology to manage a Kubernetes cluster. The book interleaves theory with practice, presenting core Ops concepts alongside easy-to-implement techniques so you can put GitOps into action. Learn to develop pipelines that trace changes, roll back mistakes, and audit container deployment. What's inside Managing secrets the GitOps way Controlling access with Git, Kubernetes, and Pipeline Branching, namespaces, and configuration About the reader For developers and operations engineers familiar with continuous delivery, Git, and Kubernetes. About the author Billy Yuen, Alexander Matyushentsev, Todd Ekenstam, and Jesse Suen are principal engineers at Intuit. They are widely recognized for their work in GitOps for Kubernetes. Table of Contents PART 1 - BACKGROUND 1 Why GitOps? 2 Kubernetes & GitOps PART 2 - PATTERNS & PROCESSES 3 Environment Management 4 Pipelines 5 Deployment Strategies 6 Access Control & Security 7 Secrets 8 Observability PART 3 - TOOLS 9 Argo CD 10 Jenkins X 11 Flux
Kubernetes Best Practices
DOWNLOAD
Author : Brendan Burns
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-10-05
Kubernetes Best Practices written by Brendan Burns and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-05 with Computers categories.
In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. They distill decades of experience from companies that are successfully running Kubernetes in production and provide concrete code examples to back the methods presented in this book. Revised to cover all the latest Kubernetes features, new tooling, and deprecations, this book is ideal for those who are familiar with basic Kubernetes concepts but want to get up to speed on the latest best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time. Set up and develop applications in Kubernetes Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes Run machine learning workloads in Kubernetes Ensure pod and container security Understand issues that have become increasingly critical to the successful implementation of Kubernetes, such as chaos engineering/testing, GitOps, service mesh, and observability
Generative Ai With Kubernetes
DOWNLOAD
Author : Jonathan Baier
language : en
Publisher: BPB Publications
Release Date : 2025-02-28
Generative Ai With Kubernetes written by Jonathan Baier and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
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 FOR This 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. TABLE OF CONTENTS 1. Introduction to Generative Artificial Intelligence 2. Kubernetes for Generative AI 3. Introduction to Foundational Models on Kubernetes 4. Working with Foundational Models 5. Process and Pipelines 6. Process and Pipelines on Kubernetes 7. Managing Data for Generative AI 8. Refining and Improving Results 9. Observability and Monitoring 10. Securing ML/GenAI Pipelines on K8s
Karmada For Multi Cluster Kubernetes Management
DOWNLOAD
Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24
Karmada For Multi Cluster Kubernetes Management written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
"Karmada for Multi-Cluster Kubernetes Management" Karmada for Multi-Cluster Kubernetes Management is an in-depth, authoritative guide for technology leaders, platform engineers, and architects navigating the complexities of multi-cluster Kubernetes deployments. The book begins with a comprehensive exploration of the motivations behind multi-cluster adoption—including business drivers, compliance requirements, and the practical realities of hybrid, multi-cloud, and edge strategies. Readers are equipped with essential context, from foundational Kubernetes concepts to the historical evolution of multi-cluster management, positioning Karmada as a next-generation orchestrator purpose-built for cross-cluster control, scalability, and resilience. Delving into Karmada’s architecture, the book systematically unpacks its control plane, scheduling engines, API interfaces, and core resource management constructs. It provides hands-on guidance for every stage of the operational lifecycle: from installation and onboarding of member clusters, to validation, troubleshooting, upgrading, and disaster recovery. Advanced chapters cover resource propagation, scheduling policies, network topologies, service discovery, and observability, addressing challenges such as secure inter-cluster communication, multi-tenancy, cost control, and regulatory compliance within distributed environments. With meticulous attention to real-world needs, this volume discusses day-2 operations, performance optimization, and security hardening—including progressive strategies for authentication, secrets management, and supply chain protection. Case studies, operational postmortems, and community best practices illustrate the tangible benefits and deployment lessons from enterprise adopters. Complete with forward-looking perspectives on industry standards, API automation, CI/CD integration, and the evolving CNCF ecosystem, this book is both a practical manual and an invaluable strategic resource for Kubernetes practitioners aiming to master multi-cluster orchestration with Karmada.
Vector Database
DOWNLOAD
Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-16
Vector Database written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.
"Vector Database" Vector Database is a comprehensive and authoritative guide to the cutting-edge world of high-dimensional search and retrieval. This book begins by grounding readers in the theoretical foundations—tracing the journey from traditional databases to the latest innovations in vector search, and unpacking the underlying mathematics, embedding methodologies, and the diverse modalities of data that vector databases support. Through crisp explanations and illustrative examples, it demystifies how vector representations power modern machine learning systems and unlock new capabilities for handling complex, unstructured information. A major focus of the book is on the practical engineering behind vector data: from algorithmic approaches (like approximate nearest neighbor search, advanced indexing structures, and hybrid queries) to the full lifecycle of data ingestion, transformation, versioning, and update management. Readers are guided through distributed architectures, sharding strategies, fault-tolerance, and cloud-native deployment patterns—arming practitioners with actionable insights into scaling, managing, and optimizing vector systems for enterprise-grade reliability and performance. Security, privacy, and compliance best practices are also rigorously addressed, ensuring readiness for production use in regulated environments. Finally, Vector Database explores the pivotal role of vector search within modern AI and analytics ecosystems. It covers seamless integration with machine learning pipelines, MLOps, developer tooling, and interoperability with traditional data stores. Advanced and forward-looking chapters discuss trillion-scale collections, operational observability, benchmarking, and the fusion of graph, symbolic, and vector paradigms. Whether you are a researcher, engineer, or technical leader, this volume is an essential resource for mastering the foundational principles and practical tools shaping the future of intelligent data retrieval.