Minio Object Storage Architecture And Operations

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Minio Object Storage Architecture And Operations
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24
Minio Object Storage Architecture And Operations 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.
"MinIO Object Storage Architecture and Operations" "MinIO Object Storage Architecture and Operations" offers an exhaustive and insightful exploration into the world of software-defined object storage, with a precise focus on MinIO’s open-source platform. From foundational principles distinguishing object storage from traditional block and file paradigms, the book guides the reader through MinIO’s design vision, S3 compatibility, and a nuanced ecosystem analysis. Each concept – from buckets and metadata to the critical role of APIs and supported infrastructure environments – is meticulously explained, framing MinIO within the broader storage landscape. Delving into internal architecture, deployment strategies, and operational excellence, the book provides a clear view of distributed system design, erasure coding for resilience, and cluster scalability. Readers will gain hands-on knowledge of deploying MinIO on bare metal, virtualized, and cloud-native platforms, with detailed guidance on Kubernetes integration, infrastructure automation, and best practices for large-scale environments. Security is accorded comprehensive coverage, encompassing authentication, encryption, compliance, and API safeguarding, equipping administrators to meet stringent regulatory and operational requirements. Beyond deployment and management, the book examines advanced features such as disaster recovery, policy-driven lifecycle management, performance tuning, and observability methods using state-of-the-art tooling. Practical integration advice for analytics, machine learning, event-driven systems, and hybrid identity federation is coupled with robust operational playbooks for upgrades, disaster recovery, and proactive cluster maintenance. Finally, a forward-looking analysis discusses trends shaping the future of object storage—including its pivotal role in AI, big data, edge computing, and next-generation security and compliance—making this book a definitive resource for both practitioners and architects seeking mastery of MinIO-enabled object storage.
Kubeflow Operations Guide
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Author : Josh Patterson
language : en
Publisher: O'Reilly Media
Release Date : 2020-12-04
Kubeflow Operations Guide written by Josh Patterson and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-04 with Computers categories.
Building models is a small part of the story when it comes to deploying machine learning applications. The entire process involves developing, orchestrating, deploying, and running scalable and portable machine learning workloads--a process Kubeflow makes much easier. This practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes workflows portable and scalable. Authors Josh Patterson, Michael Katzenellenbogen, and Austin Harris demonstrate how this open source platform orchestrates workflows by managing machine learning pipelines. You'll learn how to plan and execute a Kubeflow platform that can support workflows from on-premises to cloud providers including Google, Amazon, and Microsoft. Dive into Kubeflow architecture and learn best practices for using the platform Understand the process of planning your Kubeflow deployment Install Kubeflow on an existing on-premises Kubernetes cluster Deploy Kubeflow on Google Cloud Platform step-by-step from the command line Use the managed Amazon Elastic Kubernetes Service (EKS) to deploy Kubeflow on AWS Deploy and manage Kubeflow across a network of Azure cloud data centers around the world Use KFServing to develop and deploy machine learning models
Icembda 2023
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Author : Jianguo Liu
language : en
Publisher: European Alliance for Innovation
Release Date : 2024-01-19
Icembda 2023 written by Jianguo Liu and has been published by European Alliance for Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-19 with Business & Economics categories.
The 4th International Conference on Economic Management and Big Data Applications was successfully held in Tianjin, China from October 27th to 29th, 2023. This conference served as a platform for researchers, scholars, and industry professionals to exchange knowledge and insights in the field of economic management and the application of big data. The conference held great significance in advancing the understanding and application of economic management and big data. By bringing together experts from around the globe, the conference facilitated the exchange of innovative ideas and research findings, contributing to the development of these fields. The topics covered during the conference showcased the latest advancements and trends in enterprise economic statistics, information evaluation, blockchain technology, industrial structure optimization, information retrieval, data regression analysis, intelligent Internet of Things platforms, and data encryption. The discussions and presentations during the conference allowed participants to explore new methodologies, strategies, and technologies that can enhance economic management practices and leverage the potential of big data. The conference provided a platform for scholars and practitioners to share their experiences, insights, and best practices, fostering collaboration and networking opportunities. Furthermore, the proceedings were published, ensuring the dissemination of valuable research findings to a wider audience. The collective knowledge and research presented at the conference will contribute to the academic community, industry professionals, and policymakers, enabling them to make informed decisions and develop effective strategies in the fields of economic management and big data applications. Overall, the 4th International Conference on Economic Management and Big Data Applications played a pivotal role in promoting knowledge exchange, fostering innovation, and shaping the future of economic management by harnessing the power of big data.
Advances In Asian Mechanism And Machine Science
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Author : Amandyk Tuleshov
language : en
Publisher: Springer Nature
Release Date : 2024-08-17
Advances In Asian Mechanism And Machine Science written by Amandyk Tuleshov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-17 with Technology & Engineering categories.
This book presents the proceedings of the 7th IFToMM Asian Mechanisms and Machine Science Conference (Asian MMS), held in Almaty, Kazakhstan, on August 28–30, 2024. It includes peer-reviewed papers on the latest advances in mechanism and machine science, discussing topics such as biomechanical engineering, computational kinematics, the history of mechanism and machine science, gearing and transmissions, multi-body dynamics, robotics and mechatronics, the dynamics of machinery, tribology, vibrations, rotor dynamics, and vehicle dynamics. A valuable, up-to-date resource, it offers an essential overview of the subject for scientists and practitioners alike and will inspire further investigations and research.
Service Oriented And Cloud Computing
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Author : George A. Papadopoulos
language : en
Publisher: Springer Nature
Release Date : 2023-10-11
Service Oriented And Cloud Computing written by George A. Papadopoulos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-11 with Computers categories.
This book constitutes the constitutes the refereed proceedings of the 10th IFIP WG 6.12 European Conference on Service-Oriented and Cloud Computing , ESOCC 2023, held in Larnaca, Cyprus, during October 24–26, 2023. The 12 full papers and 4 short papers included in this book were carefully reviewed and selected from 40 submissions. They were organized in topical sections as follows: Microservices; Quality of Service; Service Orchestration; Edge Computing; PhD Symposium; and Industry Projects Track.
Managing Cloud Native Data On Kubernetes
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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
Building Data Science Applications With Fastapi
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Author : Francois Voron
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-07-31
Building Data Science Applications With Fastapi written by Francois Voron 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 2023-07-31 with Computers categories.
Learn all the features and best practices of FastAPI to build, deploy, and monitor powerful data science and AI apps, like object detection or image generation. Purchase of the print or Kindle book includes a free PDF eBook Key Features Uncover the secrets of FastAPI, including async I/O, type hinting, and dependency injection Learn to add authentication, authorization, and interaction with databases in a FastAPI backend Develop real-world projects using pre-trained AI models Book Description Building Data Science Applications with FastAPI is the go-to resource for creating efficient and dependable data science API backends. This second edition incorporates the latest Python and FastAPI advancements, along with two new AI projects – a real-time object detection system and a text-to-image generation platform using Stable Diffusion. The book starts with the basics of FastAPI and modern Python programming. You'll grasp FastAPI's robust dependency injection system, which facilitates seamless database communication, authentication implementation, and ML model integration. As you progress, you'll learn testing and deployment best practices, guaranteeing high-quality, resilient applications. Throughout the book, you'll build data science applications using FastAPI with the help of projects covering common AI use cases, such as object detection and text-to-image generation. These hands-on experiences will deepen your understanding of using FastAPI in real-world scenarios. By the end of this book, you'll be well equipped to maintain, design, and monitor applications to meet the highest programming standards using FastAPI, empowering you to create fast and reliable data science API backends with ease while keeping up with the latest advancements. What you will learn Explore the basics of modern Python and async I/O programming Get to grips with basic and advanced concepts of the FastAPI framework Deploy a performant and reliable web backend for a data science application Integrate common Python data science libraries into a web backend Integrate an object detection algorithm into a FastAPI backend Build a distributed text-to-image AI system with Stable Diffusion Add metrics and logging and learn how to monitor them Who this book is for This book is for data scientists and software developers interested in gaining knowledge of FastAPI and its ecosystem to build data science applications. Basic knowledge of data science and machine learning concepts and how to apply them in Python is recommended.
Learning And Operating Presto
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Author : Angelica Lo Duca
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-09-20
Learning And Operating Presto written by Angelica Lo Duca 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 2023-09-20 with Computers categories.
The Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this open source distributed SQL query engine can be challenging even for the most experienced engineers. With this practical book, data engineers and architects, platform engineers, cloud engineers, and software engineers will learn how to use Presto operations at your organization to derive insights on datasets wherever they reside. Authors Angelica Lo Duca, Tim Meehan, Vivek Bharathan, and Ying Su explain what Presto is, where it came from, and how it differs from other data warehousing solutions. You'll discover why Facebook, Uber, Alibaba Cloud, Hewlett Packard Enterprise, IBM, Intel, and many more use Presto and how you can quickly deploy Presto in production. With this book, you will: Learn how to install and configure Presto Use Presto with business intelligence tools Understand how to connect Presto to a variety of data sources Extend Presto for real-time business insight Learn how to apply best practices and tuning Get troubleshooting tips for logs, error messages, and more Explore Presto's architectural concepts and usage patterns Understand Presto security and administration
Swarm Deployment And Orchestration
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-10
Swarm Deployment And Orchestration 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 2025-06-10 with Computers categories.
"Swarm Deployment and Orchestration" "Swarm Deployment and Orchestration" is a comprehensive guide designed to illuminate the intricacies and best practices of deploying, managing, and scaling containerized applications with Docker Swarm. Beginning with foundational principles, the book methodically explains the evolution of container orchestration, drawing rich comparisons between Swarm, Kubernetes, and Mesos, and explores essential design patterns and architectural guidance that underpin successful cluster management. Through a technical yet approachable lens, readers are introduced to the core components of Swarm, from managers and workers to the robust Raft consensus protocol, delving deep into networking, security models, state management, and cluster self-healing capabilities. As deployments grow in complexity, the text offers advanced, hands-on strategies for automated provisioning, elastic scaling, multi-cluster federation, and disaster recovery. Chapters on service deployment go beyond the basics, tackling continuous delivery practices such as rolling updates, blue/green and canary deployments, robust failure recovery, and meticulous placement controls. A dedicated focus on networking, load balancing, and service discovery ensures that both enterprise and cloud-native architects can design resilient and efficient distributed systems, while detailed discussions on persistent storage provide guidance for managing stateful workloads and integrating with leading cloud storage solutions. Security, compliance, and observability are treated as first-class concerns throughout the book, with actionable approaches for hardening clusters, instituting role-based access, monitoring, secret management, and meeting regulatory requirements. The closing chapters synthesize industry case studies, cost optimization strategies, future trends, and advanced design patterns—highlighting Swarm's pragmatic role within broader DevOps, edge, and hybrid-cloud ecosystems. Whether you are a platform engineer, solutions architect, or IT decision-maker, "Swarm Deployment and Orchestration" offers the authoritative reference and practical toolkit needed to achieve operational excellence with Docker Swarm at any scale.
Service Oriented Holonic And Multi Agent Manufacturing Systems For Industry Of The Future
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Author : Theodor Borangiu
language : en
Publisher: Springer Nature
Release Date : 2025-08-03
Service Oriented Holonic And Multi Agent Manufacturing Systems For Industry Of The Future written by Theodor Borangiu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-03 with Computers categories.
This book centres on methods and tools for data sharing in a secure way and on value-adding application of artificial intelligence (AI) in industrial production and logistics for the transformation to data-driven industry of the future. The scientific theme of the book is “Industrial Artificial Intelligence in the Data-driven Industry of the Future: Models, Architectures, and Applications” which is focused on exploring the intricacies of cross-enterprise data sharing and the strategic use of AI within manufacturing systems. An important analysis is offered to reveal the interconnections between research, regulation and standardization of artificial intelligence and digital twins in Industry 4.0 from an European perspective. The novelty of this approach consists in analysing the ethical risks associated with the use of generative AI techniques in industrial systems and their short-, medium- and long-term impact on performance and human well-being protection. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book’s readership is comprised by researchers and engineers working in the value chain of products and processes including material sourcing, production, consumption and disposal/recycling processes, who develop digital control solutions in the “Industry of the Future” vision. The book also addresses to master and Ph.D. students enrolled in engineering sciences programs.