Azure OpenAI Service for Cloud Native Applications

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098154967
Total Pages : 249 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Azure OpenAI Service for Cloud Native Applications by : Adrián González Sánchez

Download or read book Azure OpenAI Service for Cloud Native Applications written by Adrián González Sánchez and published by "O'Reilly Media, Inc.". This book was released on 2024-06-27 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 for Cloud Native Applications

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Publisher : O'Reilly Media
ISBN 13 : 9781098154998
Total Pages : 0 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Azure Openai for Cloud Native Applications by : Adrian Sanchez

Download or read book Azure Openai for Cloud Native Applications written by Adrian Sanchez and published by O'Reilly Media. This book was released on 2024-07-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the details, examples, and best practices you need to build cloud native applications, services, and solutions using the power of the Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrian Gonzalez Sanchez examines the integration and utilization of Azure OpenAI--using powerful generative AI models such as GPT-3.5 Turbo and GPT4--within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI, 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's language model can be applied, such as natural language processing, chatbots, content generation, translation, sentiment analysis, and more. Ideal for software and cloud developers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with the Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced road maps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies

Ultimate Docker for Cloud Native Applications

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Publisher : Orange Education Pvt Ltd
ISBN 13 : 8196815123
Total Pages : 487 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Ultimate Docker for Cloud Native Applications by : Meysam Azad

Download or read book Ultimate Docker for Cloud Native Applications written by Meysam Azad and published by Orange Education Pvt Ltd. This book was released on with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Microsoft Azure Security Center

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Publisher : Microsoft Press
ISBN 13 : 1509307060
Total Pages : 307 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Microsoft Azure Security Center by : Yuri Diogenes

Download or read book Microsoft Azure Security Center written by Yuri Diogenes and published by Microsoft Press. This book was released on 2018-06-04 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover high-value Azure security insights, tips, and operational optimizations This book presents comprehensive Azure Security Center techniques for safeguarding cloud and hybrid environments. Leading Microsoft security and cloud experts Yuri Diogenes and Dr. Thomas Shinder show how to apply Azure Security Center’s full spectrum of features and capabilities to address protection, detection, and response in key operational scenarios. You’ll learn how to secure any Azure workload, and optimize virtually all facets of modern security, from policies and identity to incident response and risk management. Whatever your role in Azure security, you’ll learn how to save hours, days, or even weeks by solving problems in most efficient, reliable ways possible. Two of Microsoft’s leading cloud security experts show how to: • Assess the impact of cloud and hybrid environments on security, compliance, operations, data protection, and risk management • Master a new security paradigm for a world without traditional perimeters • Gain visibility and control to secure compute, network, storage, and application workloads • Incorporate Azure Security Center into your security operations center • Integrate Azure Security Center with Azure AD Identity Protection Center and third-party solutions • Adapt Azure Security Center’s built-in policies and definitions for your organization • Perform security assessments and implement Azure Security Center recommendations • Use incident response features to detect, investigate, and address threats • Create high-fidelity fusion alerts to focus attention on your most urgent security issues • Implement application whitelisting and just-in-time VM access • Monitor user behavior and access, and investigate compromised or misused credentials • Customize and perform operating system security baseline assessments • Leverage integrated threat intelligence to identify known bad actors

Designing Distributed Systems

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491983612
Total Pages : 164 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Designing Distributed Systems by : Brendan Burns

Download or read book Designing Distributed Systems written by Brendan Burns and published by "O'Reilly Media, Inc.". This book was released on 2018-02-20 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Microsoft Azure Essentials Azure Machine Learning

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Publisher : Microsoft Press
ISBN 13 : 073569818X
Total Pages : 393 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Microsoft Azure Essentials Azure Machine Learning by : Jeff Barnes

Download or read book Microsoft Azure Essentials Azure Machine Learning written by Jeff Barnes and published by Microsoft Press. This book was released on 2015-04-25 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Native Patterns

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Publisher : Simon and Schuster
ISBN 13 : 1638356858
Total Pages : 573 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Cloud Native Patterns by : Cornelia Davis

Download or read book Cloud Native Patterns written by Cornelia Davis and published by Simon and Schuster. This book was released on 2019-05-12 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Cloud Native Patternsis your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you'll be ready to thrive in the dynamic, distributed, virtual world of the cloud. About the Book With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. What's inside The lifecycle of cloud-native apps Cloud-scale configuration management Zero downtime upgrades, versioned services, and parallel deploys Service discovery and dynamic routing Managing interactions between services, including retries and circuit breakers About the Reader Requires basic software design skills and an ability to read Java or a similar language. About the Author Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she's spent the last 25 years making good software and great software developers. Table of Contents PART 1 - THE CLOUD-NATIVE CONTEXT You keep using that word: Defining "cloud-native" Running cloud-native applications in production The platform for cloud-native software PART 2 - CLOUD-NATIVE PATTERNS Event-driven microservices: It's not just request/response App redundancy: Scale-out and statelessness Application configuration: Not just environment variables The application lifecycle: Accounting for constant change Accessing apps: Services, routing, and service discovery Interaction redundancy: Retries and other control loops Fronting services: Circuit breakers and API gateways Troubleshooting: Finding the needle in the haystack Cloud-native data: Breaking the data monolith

Cloud Native Microservices with Spring and Kubernetes

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Publisher : BPB Publications
ISBN 13 : 9390684315
Total Pages : 427 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Cloud Native Microservices with Spring and Kubernetes by : Rajiv Srivastava

Download or read book Cloud Native Microservices with Spring and Kubernetes written by Rajiv Srivastava and published by BPB Publications. This book was released on 2021-07-03 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build and deploy scalable cloud native microservices using the Spring framework and Kubernetes. KEY FEATURES ● Complete coverage on how to design, build, run, and deploy modern cloud native microservices. ● Includes numerous sample code exercises on microservices, Spring and Kubernetes. ● Develop a stronghold on Kubernetes, Spring, and the microservices architecture. ● Complete guide of application containerization on Kubernetes containers. ● Coverage on managing modern applications and infrastructure using observability tools. DESCRIPTION The main objective of this book is to give an overview of cloud native microservices, their architecture, design patterns, best practices, real use cases and practical coverage of modern applications. This book covers a strong understanding of the fundamentals of microservices, API first approach, Testing, observability, API Gateway, Service Mesh and Kubernetes alternatives of Spring Cloud. This book covers the implementation of various design patterns of developing cloud native microservices using Spring framework docker and Kubernetes libraries. It covers containerization concepts and hands-on lab exercises like how to build, run and manage microservices applications using Kubernetes. After reading this book, the readers will have a holistic understanding of building, running, and managing cloud native microservices applications on Kubernetes containers. WHAT YOU WILL LEARN ● Learn fundamentals of microservice and design patterns. ● Learn microservices development using Spring Boot and Kubernetes. ● Learn to develop reactive, event-driven, and batch microservices. ● Perform end-to-end microservices testing using Cucumber. ● Implement API gateway,authentication & authorization,load balancing, caching, rate limiting. ● Learn observability and monitoring techniques of microservices. WHO THIS BOOK IS FOR This book is for the Spring Developers, Microservice Developers, Cloud Engineers, DevOps Consultants, Technical Architect and Solution Architects, who have some familiarity with application development, Docker and Kubernetes containers. TABLE OF CONTENTS 1. Overview of Cloud Native microservices 2. Microservice design patterns 3. API first approach 4. Build microservices using the Spring Framework 5. Batch microservices 6. Build reactive and event-driven microservices 7. The API gateway, security, and distributed caching with Redis 8. Microservices testing and API mocking 9. Microservices observability 10. Containers and Kubernetes overview and architecture 11. Run microservices on Kubernetes 12. Service Mesh and Kubernetes alternatives of Spring Cloud

Cloud Native Security

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Publisher : John Wiley & Sons
ISBN 13 : 1119782244
Total Pages : 365 pages
Book Rating : 4.47/5 ( download)

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Book Synopsis Cloud Native Security by : Chris Binnie

Download or read book Cloud Native Security written by Chris Binnie and published by John Wiley & Sons. This book was released on 2021-06-18 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the latest and most comprehensive guide to securing your Cloud Native technology stack Cloud Native Security delivers a detailed study into minimizing the attack surfaces found on today’s Cloud Native infrastructure. Throughout the work hands-on examples walk through mitigating threats and the areas of concern that need to be addressed. The book contains the information that professionals need in order to build a diverse mix of the niche knowledge required to harden Cloud Native estates. The book begins with more accessible content about understanding Linux containers and container runtime protection before moving on to more advanced subject matter like advanced attacks on Kubernetes. You’ll also learn about: Installing and configuring multiple types of DevSecOps tooling in CI/CD pipelines Building a forensic logging system that can provide exceptional levels of detail, suited to busy containerized estates Securing the most popular container orchestrator, Kubernetes Hardening cloud platforms and automating security enforcement in the cloud using sophisticated policies Perfect for DevOps engineers, platform engineers, security professionals and students, Cloud Native Security will earn a place in the libraries of all professionals who wish to improve their understanding of modern security challenges.

Azure AI Services at Scale for Cloud, Mobile, and Edge

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098107993
Total Pages : 234 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Azure AI Services at Scale for Cloud, Mobile, and Edge by : Simon Bisson

Download or read book Azure AI Services at Scale for Cloud, Mobile, and Edge written by Simon Bisson and published by "O'Reilly Media, Inc.". This book was released on 2022-04-11 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. This book shows you how cloud AI services fit in alongside familiar software development approaches, walks you through key Microsoft AI services, and provides real-world examples of AI-oriented architectures that integrate different Azure AI services. All you need to get started is a working knowledge of basic cloud concepts. Become familiar with Azure AI offerings and capabilities Build intelligent applications using Azure Cognitive Services Train, tune, and deploy models with Azure Machine Learning, PyTorch, and the Open Neural Network Exchange (ONNX) Learn to solve business problems using AI in the Power Platform Use transfer learning to train vision, speech, and language models in minutes