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Azure Openai Service For Cloud Native Applications

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Azure Openai Service For Cloud Native Applications

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Author : Adrián González Sánchez
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-27

Azure Openai Service For Cloud Native Applications written by Adrián González Sánchez 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 2024-06-27 with Computers categories.

Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies

Azure Openai Service For Cloud Native Applications

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Author : Adrián González Sánchez
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-27

Cloud Native Infrastructure With Azure

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Author : Nishant Singh
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-02-09

Cloud Native Infrastructure With Azure written by Nishant Singh 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 2022-02-09 with Computers categories.

The cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, running and maintaining these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development. With this practical book, Nishant Singh and Michael Kehoe show you how to build a true cloud native infrastructure using Microsoft Azure or another cloud computing solution by following guidelines from the Cloud Native Computing Foundation (CNCF). DevOps and site reliability engineers will learn how adapting applications to cloud native early in the design phase helps you fully utilize the elasticity and distributed nature of the cloud. This book helps you explore: Why go cloud native? How to use infrastructure as code What it takes to containerize an application Why and how Kubernetes is the "grand orchestrator" How to create a Kubernetes cluster on Azure How observability complements monitoring How to use service discovery and a service mesh to find new territories How networking and policy management serve as gatekeepers How distributed databases and storage work

Ultimate Docker For Cloud Native Applications

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Author : Meysam Azad
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-02-19

Ultimate Docker For Cloud Native Applications written by Meysam Azad and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Computers categories.

Unlock the Power of Docker to Revolutionize Your Development and Deployment Strategies KEY FEATURES ● Dive into real-world Docker expertise through hands-on learning and practical exercises. ● Covers Docker fundamentals and extends to advanced orchestration techniques, for holistic understanding of the ecosystem. ● Benefit from expert perspectives gaining insider knowledge and practical insights. DESCRIPTION Embark on an enriching Docker journey with this definitive guide meticulously designed to take you from foundational knowledge to advanced mastery. This book adopts a holistic approach to containerization, starting with essential concepts, Docker's intricacies, and then moving on to an exploration of core concepts and architecture. You will then move seamlessly through building and managing Docker images, navigating networking challenges, and mastering the art of persistent data management. Each chapter builds upon the last, ensuring a thorough grasp of Docker's intricacies. The book will help you streamline deployment with Docker Compose, scale applications through Docker Swarm, fortify deployments with security insights, and seamlessly integrate Docker into your CI/CD pipelines. Push the boundaries further with discussions on Docker in cloud platforms, an introduction to Kubernetes, and advanced Docker concepts. Authored by a seasoned Senior Site Reliability Engineer (SRE), this book goes beyond the theoretical by providing insider insights, best practices, and real-world scenarios. Bridging the gap between concepts and application, it serves as your trusted companion in navigating Docker complexities. WHAT WILL YOU LEARN ● Build and manage Docker containers with practical proficiency ● Create efficient Docker images tailored to diverse application requirements ● Orchestrate containers seamlessly using Kubernetes for robust and scalable deployments ● Implement advanced networking solutions within the Docker environment ● Troubleshoot common issues and optimize Dockerized applications for peak performance ● Gain expert insights on architecting scalable and resilient software solutions WHO IS THIS BOOK FOR? Tailored for Software Developers, System Administrators, DevOps Engineers, IT Managers, Cloud Architects, and Infrastructure Engineers, this book offers valuable insights and advanced techniques. Whether you're a Docker beginner or seeking to deepen your expertise, it addresses a variety of roles in the dynamic realms of software development and IT. While no prior Docker experience is required, a foundational understanding of containerization concepts and familiarity with Linux environments can enhance the learning experience for all readers. TABLE OF CONTENTS 1. Introduction to Docker 2. Docker Architecture and Components 3. Building and Managing Docker Images 4. Docker Networking 5. Persistent Data Management with Docker 6. Docker Compose for Simplified Application Deployment 7. Scaling Applications with Docker Swarm 8. Securing Docker Deployments 9. Docker in Continuous Integration and Deployment 10. Docker on Cloud Platforms 11. Introduction to Kubernetes 12. Exploring Advanced Docker Concepts 13. Future Trends in Containerization Appendix A: All-in-One Cheatsheet Index

Designing Distributed Systems

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Author : Brendan Burns
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-02-20

Designing Distributed Systems 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 2018-02-20 with Computers categories.

Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows

Learning Microsoft Azure

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Author : Jonah Carrio Andersson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-11-20

Learning Microsoft Azure written by Jonah Carrio Andersson 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 2023-11-20 with Computers categories.

If your organization plans to modernize services and move to the cloud from legacy software or a private cloud on premises, this book is for you. Software developers, solution architects, cloud engineers, and anybody interested in cloud technologies will learn fundamental concepts for cloud computing, migration, transformation, and development using Microsoft Azure. Author and Microsoft MVP Jonah Carrio Andersson guides you through cloud computing concepts and deployment models, the wide range of modern cloud technologies, application development with Azure, team collaboration services, security services, and cloud migration options in Microsoft Azure. You'll gain insight into the Microsoft Azure cloud services that you can apply in different business use cases, software development projects, and modern solutions in the cloud. You'll also become fluent with Azure cloud migration services, serverless computing technologies that help your development team work productively, Azure IoT, and Azure cognitive services that make your application smarter. This book also provides real-world advice and best practices based on the author's own Azure migration experience. Gain insight into which Azure cloud service best suits your company's particular needs Understand how to use Azure for different use cases and specific technical requirements Start developing cloud services, applications, and solutions in the Azure environment Learn how to migrate existing legacy applications to Microsoft Azure

Microsoft Azure Essentials Azure Machine Learning

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Author : Jeff Barnes
language : en
Publisher: Microsoft Press
Release Date : 2015-04-25

Microsoft Azure Essentials Azure Machine Learning written by Jeff Barnes and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-25 with Computers categories.

Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.

Cloud Application Architectures

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Author : George Reese
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2009-04

Cloud Application Architectures written by George Reese 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 2009-04 with Business & Economics categories.

Looks at the differences between traditional server hosting and Cloud services along with guidelines for creating Web applications and migrating existing applications to the Cloud environment.

Practical Automated Machine Learning On Azure

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Author : Deepak Mukunthu
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-09-23

Practical Automated Machine Learning On Azure written by Deepak Mukunthu 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 2019-09-23 with Computers categories.

Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you’ll learn how to apply automated machine learning (AutoML), a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology. Building machine-learning models is an iterative and time-consuming process. Even those who know how to create ML models may be limited in how much they can explore. Once you complete this book, you’ll understand how to apply AutoML to your data right away. Learn how companies in different industries are benefiting from AutoML Get started with AutoML using Azure Explore aspects such as algorithm selection, auto featurization, and hyperparameter tuning Understand how data analysts, BI professions, developers can use AutoML in their familiar tools and experiences Learn how to get started using AutoML for use cases including classification, regression, and forecasting.

Ibm Cloud Pak For Data

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Author : Hemanth Manda
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-11-24

Ibm Cloud Pak For Data written by Hemanth Manda 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 2021-11-24 with Computers categories.

Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Key FeaturesExplore data virtualization by accessing data in real time without moving itUnify the data and AI experience with the integrated end-to-end platformExplore the AI life cycle and learn to build, experiment, and operationalize trusted AI at scaleBook Description Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise. What you will learnUnderstand the importance of digital transformations and the role of data and AI platformsGet to grips with data architecture and its relevance in driving AI adoption using IBM's AI LadderUnderstand Cloud Pak for Data, its value proposition, capabilities, and unique differentiatorsDelve into the pricing, packaging, key use cases, and competitors of Cloud Pak for DataUse the Cloud Pak for Data ecosystem with premium IBM and third-party servicesDiscover IBM's vibrant ecosystem of proprietary, open-source, and third-party offerings from over 35 ISVsWho this book is for This book is for data scientists, data stewards, developers, and data-focused business executives interested in learning about IBM's Cloud Pak for Data. Knowledge of technical concepts related to data science and familiarity with data analytics and AI initiatives at various levels of maturity are required to make the most of this book.

Azure Openai Service For Cloud Native Applications

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