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| cloud performance optimization initializing: Advanced Computing Techniques for Optimization in Cloud H S Madhusudhan, Punit Gupta, Pradeep Singh Rawat, 2024-09-11 This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emphasizes upon computing resources being suitably utilised to serve application workloads in order to reduce energy utilisation, while maintaining apt performance. This book provides information on fault-tolerant mechanisms in the cloud and provides an outlook on task scheduling techniques. Focuses on virtual machine placement and migration techniques for cloud data centers Presents the role of machine learning and metaheuristic approaches for optimisation in cloud computing services Includes application of placement techniques for quality of service, performance, and reliability improvement Explores data center resource management, load balancing and orchestration using machine learning techniques Analyses dynamic and scalable resource scheduling with a focus on resource management The text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology. |
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| cloud performance optimization initializing: The Ultimate Guide to Unlocking the Full Potential of Cloud Services Rick Spair, 2023-06-04 By following this comprehensive guide, readers will embark on a journey to gain a deep understanding of cloud computing concepts, enabling them to navigate the complex landscape of cloud services with confidence. The guide covers a wide range of topics, providing valuable insights and practical strategies to optimize the use of cloud offerings. The first chapter introduces readers to the fundamental concepts of cloud computing, explaining the underlying principles and models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It lays the foundation for the subsequent chapters, ensuring a solid understanding of cloud computing basics. The guide then delves into the process of selecting the right cloud service provider. Chapter 2 offers guidance on evaluating factors such as pricing models, performance, reliability, security, and data privacy. Readers will learn how to assess and compare different providers to make informed decisions that align with their specific business needs. The subsequent chapters provide in-depth insights into various aspects of cloud services. From storage solutions to infrastructure management, security measures, and cost optimization strategies, readers will explore best practices, tips, and recommendations for maximizing the benefits of each cloud offering. Chapters dedicated to cloud storage solutions discuss different options available and guide readers on how to leverage cloud storage for data backup, disaster recovery, and efficient data management. The chapters on Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) provide readers with strategies for leveraging these services to scale and flexibly deploy computing resources, design and deploy virtual infrastructure, and optimize performance. The guide also delves into Software as a Service (SaaS), highlighting its benefits for software delivery and exploring popular SaaS applications across various industries. Readers will gain insights into customizing and integrating SaaS solutions to meet specific business needs and learn how to integrate SaaS with other cloud services for enhanced functionality. Security, governance, and compliance in the cloud are essential considerations, and the guide dedicates chapters to these topics. Readers will learn about implementing robust access controls, encryption, and monitoring techniques to ensure data security. They will also discover best practices for establishing cloud governance frameworks, ensuring compliance with industry regulations, and managing resources effectively. Optimizing cost and resource usage is a crucial aspect of cloud services, and the guide covers various strategies for cost optimization, analyzing cloud costs, and identifying cost drivers. It provides insights into leveraging reserved instances, spot instances, and rightsizing to optimize costs and maximize return on investment. The guide also explores cloud migration planning and execution, hybrid cloud integration, serverless computing, big data analytics, DevOps, and other advanced cloud technologies. Each chapter presents a comprehensive overview of the topic, offering practical advice and real-world examples to help readers understand and leverage these technologies effectively. By the end of the guide, readers will have a comprehensive understanding of cloud computing and its various offerings. They will be equipped with the knowledge and strategies to choose the right cloud service provider, optimize resource utilization, enhance security measures, and leverage advanced cloud technologies to drive innovation and business growth. Overall, this guide serves as a valuable resource for individuals and organizations seeking to harness the full potential of cloud services. |
| cloud performance optimization initializing: Scalable Cloud Computing: Patterns for Reliability and Performance Peter Jones, 2024-10-14 Dive into the transformative world of cloud computing with Scalable Cloud Computing: Patterns for Reliability and Performance, your comprehensive guide to mastering the principles, strategies, and practices that define modern cloud environments. This carefully curated book navigates through the intricate landscape of cloud computing, from foundational concepts and architecture to designing resilient, scalable applications and managing complex data in the cloud. Whether you're a beginner seeking to understand the basics or an experienced professional aiming to enhance your skills, this book offers deep insights into ensuring reliability, optimizing performance, securing cloud environments, and much more. Explore the latest trends, including microservices, serverless computing, and emerging technologies that are pushing the boundaries of what's possible in the cloud. Through detailed explanations, practical examples, and real-world case studies, Scalable Cloud Computing: Patterns for Reliability and Performance equips you with the knowledge to architect and deploy robust applications that leverage the full potential of cloud computing. Unlock the secrets to optimizing costs, automating deployments with CI/CD, and navigating the complexities of data management and security in the cloud. This book is your gateway to becoming an expert in cloud computing, ready to tackle challenges and seize opportunities in this ever-evolving field. Join us on this journey to mastering cloud computing, where scalability and reliability are within your reach. |
| cloud performance optimization initializing: Optimizing Cloud Native Java Benjamin J. Evans, James Gough, 2024-10-10 Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach. In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects. With this book, you will: Learn how Java principles and technology make the best use of modern hardware, operating systems, and cloud stacks Examine the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarking Understand how to package, deploy, operate, and debug Java/JVM applications in modern cloud environments Apply emerging observability approaches to obtain deep understanding of cloud native applications Use Java language performance techniques including concurrent and distributed forms |
| cloud performance optimization initializing: SQL Server Advanced Troubleshooting and Performance Tuning Dmitri Korotkevitch, 2022-05-13 This practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server. Database engineers, including database developers and administrators, will learn how to identify performance issues, troubleshoot the system in a holistic fashion, and properly prioritize tuning efforts to attain the best system performance possible. Author Dmitri Korotkevitch, Microsoft Data Platform MVP and Microsoft Certified Master (MCM), explains the interdependencies between SQL Server database components. You'll learn how to quickly diagnose your system and discover the root cause of any issue. Techniques in this book are compatible with all versions of SQL Server and cover both on-premises and cloud-based SQL Server installations. Discover how performance issues present themselves in SQL Server Learn about SQL Server diagnostic tools, methods, and technologies Perform health checks on SQL Server installations Learn the dependencies between SQL Server components Tune SQL Server to improve performance and reduce bottlenecks Detect poorly optimized queries and inefficiencies in query execution plans Find inefficient indexes and common database design issues Use these techniques with Microsoft Azure SQL databases, Azure SQL Managed Instances, and Amazon RDS for SQL Server |
| cloud performance optimization initializing: AWS Cloud Automation Oluyemi James Odeyinka, 2024-01-20 How to automate AWS Cloud using Terraform IaC best practices KEY FEATURES ● Learn how to create and deploy AWS Cloud Resources using Terraform IaC. ● Manage large and complex AWS infrastructures. ● Manage diverse storage options like S3 and EBS for optimal performance and cost-efficiency. DESCRIPTION AWS Cloud Automation allows organizations to effortlessly organize and handle their cloud resources. Terraform, an open-source provisioning tool, transforms the old manual way of doing things by allowing users to define, deploy, and maintain infrastructure as code, ensuring consistency, scalability, and efficiency. This book explains AWS Cloud Automation using Terraform, which is a simple and clear syntax that lets users define the infrastructure needs. Terraform simplifies setting up and managing infrastructure, reducing errors and fostering team collaboration. It enables version control, letting you monitor changes and implement CI/CD pipelines, effortlessly. The book guides you in creating and managing AWS resources through a simple configuration file, allowing you to define virtual machines, networks, databases, and more. Discover how Terraform makes organizing infrastructure code easy, promoting reusability and simple maintenance with consistent patterns across projects and teams. This book will empower readers of AWS Cloud Automation to embrace a modern, scalable, and efficient approach to managing cloud infrastructure. By combining the power of Terraform with the flexibility of AWS. WHAT YOU WILL LEARN ● Implement automated workflows with Terraform in CI/CD pipelines, for consistent and reliable deployments. ● Secure your cloud environment with robust Identity and Access Management (IAM) policies. ● Build and deploy highly available and scalable applications using EC2, VPC, and ELB. ● Automate database deployments and backups with RDS and DynamoDB for worry-free data management. ● Implement serverless architectures with EKS and Fargate for agile and cost-effective development. WHO THIS BOOK IS FOR This book is crafted for both aspiring and seasoned infrastructure enthusiasts, cloud architects, solution architects , SysOps Administrators, and DevOps professionals ready to apply the power of Terraform as their AWS go-to Infrastructure as Code (IaC) tool. TABLE OF CONTENTS 1. AWS DevOps and Automation Tools Set 2. AWS Terraform Setup 3. IAM, Governance and Policies Administration 4. Automating AWS Storage Deployment and Configuration 5. VPC and Network Security Tools Automation 6. Automating EC2 Deployment of various Workloads 7. Automating ELB Deployment and Configurations 8. AWS Route53 Policy and Routing Automation 9. AWS EKS and Fargate Deployments 10. Databases and Backup Services Automation 11. Automating and Bootstrapping Monitoring Service |
| cloud performance optimization initializing: Designing and Developing Innovative Mobile Applications Samanta, Debabrata, 2023-04-12 Since mobile communication has become so ingrained in our daily lives, many people find it difficult to function without a cellphone. When the phone first came out, the only commonly used features were calling and sending text messages (texts). The intelligent mobile phone has proven to be a multipurpose tool that works best for communication and aids in learning, earning, and having fun. This in turn prompted several developers to consider creating mobile applications. Designing and Developing Innovative Mobile Applications focuses on the fundamentals of the Android OS and its device features, the deployment of any Android application, and the activities and intents of Android programming. Covering key topics such as mobile pages, software development, and communication, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students. |
| cloud performance optimization initializing: Cloud Computing and Services Science Donald Ferguson, Claus Pahl, Markus Helfert, 2021-03-22 This book constitutes extended, revised and selected papers from the 10th International Conference on Cloud Computing and Services Science, CLOSER 2020, held in Prague, Czech Republic, in May 2020. Due to the COVID-19 pandemic the conference was held in a virtual format. The 14 papers presented in this volume were carefully reviewed and selected from a total of 69 submissions. CLOSER 2020 focuses on the emerging area of cloud computing, inspired by some latest advances that concern the infrastructure, operations, and available servicesthrough the global network. |
| cloud performance optimization initializing: Mastering Serverless computing Cybellium Ltd, 2023-09-26 Unleash the Power of Serverless Architecture for Efficient and Scalable Applications Are you ready to dive into the future of application development with serverless computing? Mastering Serverless Computing is your comprehensive guide to understanding and harnessing the potential of serverless architecture. Whether you're a developer aiming to create scalable applications or an IT professional seeking insights into serverless capabilities, this book equips you with the knowledge and tools to build efficient and high-performance solutions. Key Features: 1. Introduction to Serverless Computing: Immerse yourself in the core principles of serverless architecture, understanding its benefits, components, and use cases. Build a solid foundation that empowers you to embrace the serverless paradigm. 2. Serverless Services and Providers: Master the art of working with various serverless providers and services. Learn about AWS Lambda, Azure Functions, Google Cloud Functions, and more, and explore their features and integrations. 3. Developing Serverless Applications: Uncover strategies for developing applications using serverless architecture. Explore techniques for creating functions, managing dependencies, and deploying serverless code seamlessly. 4. Event-Driven Architecture: Discover the power of event-driven architecture in serverless computing. Learn how to trigger functions in response to events, integrate with event sources, and build real-time applications. 5. Serverless Data Management: Delve into data management in a serverless environment. Explore database services, caching mechanisms, and data storage solutions tailored for serverless applications. 6. Serverless Security and Authentication: Explore security considerations in serverless computing. Learn how to implement authentication, access controls, and encryption to protect your serverless applications and data. 7. Scalability and Cost Optimization: Master strategies for optimizing scalability and minimizing costs in serverless applications. Understand how serverless architecture automatically scales and how to leverage pay-as-you-go pricing models. 8. Serverless Orchestration and Workflows: Uncover techniques for orchestrating complex workflows in serverless applications. Learn about state management, chaining functions, and handling long-running processes. 9. Serverless DevOps and Continuous Deployment: Explore DevOps practices tailored for serverless development. Learn how to automate deployment, testing, and monitoring processes to ensure a seamless development lifecycle. 10. Real-World Serverless Applications: Gain insights into real-world serverless use cases across industries. From microservices to real-time data processing, explore how organizations are leveraging serverless computing for innovation. Who This Book Is For: Mastering Serverless Computing is an indispensable resource for developers, architects, and IT professionals who want to excel in serverless application development. Whether you're a newcomer to serverless or seeking to enhance your existing skills, this book will guide you through the intricacies and empower you to harness the potential of serverless architecture. |
| cloud performance optimization initializing: Configurable Intelligent Optimization Algorithm Fei Tao, Lin Zhang, Yuanjun Laili, 2014-08-18 Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehensive elaboration of basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorithm; instead it is a general advanced optimization mechanism which is highly scalable with robustness and randomness. Therefore, this book demonstrates the flexibility of these algorithms, as well as their robustness and reusability in order to solve mass complicated problems in manufacturing. Since the genetic algorithm was presented decades ago, a large number of intelligent optimization algorithms and their improvements have been developed. However, little work has been done to extend their applications and verify their competence in solving complicated problems in manufacturing. This book will provide an invaluable resource to students, researchers, consultants and industry professionals interested in engineering optimization. It will also be particularly useful to three groups of readers: algorithm beginners, optimization engineers and senior algorithm designers. It offers a detailed description of intelligent optimization algorithms to algorithm beginners; recommends new configurable design methods for optimization engineers, and provides future trends and challenges of the new configuration mechanism to senior algorithm designers. |
| cloud performance optimization initializing: Machine Learning and Optimization Models for Optimization in Cloud Punit Gupta, Mayank Kumar Goyal, Sudeshna Chakraborty, Ahmed A Elngar, 2022-02-27 Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition. This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud. Key Features · Comprehensive introduction to cloud architecture and its service models. · Vulnerability and issues in cloud SAAS, PAAS and IAAS · Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models · Detailed study of optimization techniques, and fault management techniques in multi layered cloud. · Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. · Advanced study of algorithms using artificial intelligence for optimization in cloud · Method for power efficient virtual machine placement using neural network in cloud · Method for task scheduling using metaheuristic algorithms. · A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment. This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence. |
| cloud performance optimization initializing: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Marius George Linguraru, |
| cloud performance optimization initializing: Machine Learning in the Cloud: Comparing Google Cloud, AWS, and Azure APIs Peter Jones, 2024-10-13 Unlock the full potential of machine learning with Machine Learning in the Cloud: Comparing Google Cloud, AWS, and Azure APIs. This essential guide meticulously navigates through the intricate world of cloud-based ML APIs across the leading platforms—Google Cloud, AWS, and Azure. Whether you're a software developer, data scientist, IT professional, or business strategist, this book equips you with the knowledge to make informed decisions about implementing and managing these powerful tools in your projects. Dive deep into a comprehensive analysis and comparison of text processing, image recognition, speech recognition, and custom model building services offered by these giants. Understand the ins and outs of setting up, configuring, and optimizing these APIs for performance and scalability. Explore chapters dedicated to security, compliance, and real-life success stories that demonstrate the transformative impact of cloud-based ML across various industries. With practical guides, strategic insights, and current industry standards, this book is your roadmap to mastering cloud machine learning APIs, paving the way for innovative solutions that enhance competitiveness and efficiency. Embrace the future of artificial intelligence with this expertly crafted resource at your fingertips. |
| cloud performance optimization initializing: Kickstart Software Design Architecture Dr. Edward D Lavieri Jr., 2024-09-17 Learn to design robust software systems using modern architecture principles and practical hands-on experience KEY FEATURES ● Learn about fundamental software architecture concepts, including design patterns, microservices, and cloud computing. ● Bridge theory with practice through real-world examples and case studies. ● Gain expertise through an interactive and engaging learning approach, featuring coding exercises and hands-on opportunities. DESCRIPTION Explore the ever-evolving world of software architecture. Bridge the gap between emerging technologies and foundational principles, with a comprehensive guide tailored for newcomers to the field. The book highlights the significance of software architecture in building scalable, efficient, and robust applications. The book is structured into engaging chapters, each focused on a specific aspect of software architecture. It starts with an introduction to the basics of software design patterns, gaining an understanding of their role in crafting flexible and reusable code. Next, microservices are covered, followed by chapters that focus on cloud computing, containerization, and more. Chapters contain real-world examples, hands-on exercises, and case studies, to help readers gain both foundational knowledge and hands-on experience. By the end of the book, you should have a solid foundation in software architecture and be equipped with the knowledge and skills to confidently address complex software architectural challenges. WHAT WILL YOU LEARN ● Understand the essential principles and concepts of software architecture, including key design considerations and methodologies. ● Explore the principles of design patterns to create flexible, reusable, and maintainable code. ● Learn about the impact of different programming languages on software architecture and development, and how to choose the right language for your projects. ● Gain insight into the microservices architecture, its benefits, challenges, and best practices for implementation. ● Learn the fundamentals of containerization with Docker and streamline development, testing, and deployment processes. ● Get practical knowledge on deploying applications in various cloud environments, focusing on effective strategies and tools for cloud-based deployment. ● Explore essential DevOps practices that enhance collaboration, automation, and continuous delivery in software development. ● Master version control using Git, including branching, merging, and best practices for managing code repositories. ● Learn strategies for designing software systems that scale effectively and operate efficiently, handling increased loads and performance demands. ● Stay ahead of the curve with insights into emerging trends and technologies shaping the future of software architecture and development. WHO IS THIS BOOK FOR? This book is primarily for aspiring software architects and developers who are at the beginning of their careers or those transitioning into software architecture. This includes computer science students, junior software developers, and IT professionals seeking to deepen their understanding of software design principles, design patterns, and modern development practices. The book is also suitable for self-taught programmers and hobbyists who want to gain a structured understanding of software architecture. TABLE OF CONTENTS 1. Introduction to Software Architecture 2. Principles of Design Patterns 3. Role of Programming Languages 4. Introduction to Microservices 5. Building Microservices with Spring Boot 6. Containerization with Docker 7. Fundamentals of Cloud Computing 8. Deploying in the Cloud 9. DevOps Practices 10. Version Control with Git 11. Designing for Scalability and Efficiency 12. Future Trends in Software Architecture Index |
| cloud performance optimization initializing: Big Data, Cloud and Applications Youness Tabii, Mohamed Lazaar, Mohammed Al Achhab, Nourddine Enneya, 2018-08-13 This book constitutes the thoroughly refereed proceedings of the Third International Conference on Big Data, Cloud and Applications, BDCA 2018, held in Kenitra, Morocco, in April 2018.The 45 revised full papers presented in this book were carefully selected from 99 submissions with a thorough double-blind review process. They focus on the following topics: big data, cloud computing, machine learning, deep learning, data analysis, neural networks, information system and social media, image processing and applications, and natural language processing. |
| cloud performance optimization initializing: Benchmarking, Measuring, and Optimizing Chen Zheng, Jianfeng Zhan, 2019-10-15 This book constitutes the refereed proceedings of the First International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018, held in Seattle, WA, USA, in December 2018. The 20 full papers presented were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections named: AI Benchmarking; Cloud; Big Data; Modelling and Prediction; and Algorithm and Implementations. |
| cloud performance optimization initializing: Essential Linux Commands Paul Olushile, 2023-11-30 Unlock the power of Linux with this quick-start guide to leveling up your admin skills, packed with clear explanations and hands-on examples Key Features Explore Linux commands for mounting, file manipulation, and running Linux on the cloud Learn commands for checking and configuring network card statistics, firewall rules, and interfaces Understand how to utilize SELinux in keeping systems adequately hardened and avoiding various security risks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe role of a system administrator is ever-evolving, with the Linux command line at its core. This makes Linux command-line mastery an essential skill to demonstrate your ability to efficiently manage and maintain systems efficiently. Essential Linux Commands addresses a diverse range of topics, including package management, file manipulation, networking strategies, system monitoring, and diagnostic tools. Each command is intricately explained to eliminate any ambiguity, ensuring ease of implementation in real-world scenarios. This book explains how to use SELinux to maintain security, run Linux machines on AWS Cloud, and transfer and download files to remote systems. With the help of practical examples and use cases, you’ll not only gain a thorough understanding of a command’s syntax but also grasp its functional breadth and limitations. The book also explores commands frequently used by system administrators to check network card statistics and firewall rules. Whether you’re a beginner or an experienced administrator, this book is an invaluable resource, filling in the gaps in your skill set and helping you improve your skills and expertise in Linux administration.What you will learn Execute commands to launch applications, control services, and change network settings Develop your skills to use commands for package management, file manipulation, and networking Get clear explanations and practical examples for each command Discover tips and techniques to use the Linux command line effectively Get to grips with troubleshooting common problems and fixing errors Master best practices to manage and maintain Linux systems Develop expertise in system performance, security, and Linux in the cloud Who this book is forThis book is for system administrators, IT professionals, and students who want to enhance their knowledge of Linux administration and improve their skills in this field. Whether you’re just starting out in system administration or have years of experience, this book is an invaluable resource for mastering the Linux command line and becoming a more proficient system administrator. Essential Linux Commands is also well-suited for individuals interested in expanding their Linux know-how and its applications in various industries and environments. |
| cloud performance optimization initializing: Convergence Strategies for Green Computing and Sustainable Development Jain, Vishal, Raman, Murali, Agrawal, Akshat, Hans, Meenu, Gupta, Swati, 2024-04-01 Convergence Strategies for Green Computing and Sustainable Development presents a comprehensive exploration of the potential of emerging technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), fog computing, and cloud computing, to aid in fostering a sustainable future. It examines how these technologies can reduce the impact of unsustainability in societies, the environment, and natural resources, offering invaluable insights into harnessing their power for positive change. Convergence Strategies for Green Computing and Sustainable Development serves as a comprehensive strategy that holistically understands, transforms, and develops technological systems in society. This book caters to a diverse range of readers, including graduate students, researchers, working professionals seeking knowledge, and industry experts seeking information about new trends. With its recommended topics and comprehensive table of contents, readers can gain in-depth knowledge about sustainable cloud computing, artificial intelligence and machine learning for sustainable development, sustainable wireless systems and networks, and the crucial role of green IoT and Edge-AI in driving a sustainable digital transition. |
| cloud performance optimization initializing: Intelligent and Cloud Computing Debahuti Mishra, Rajkumar Buyya, Prasant Mohapatra, Srikanta Patnaik, 2020-08-28 This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including contributions on system and network design that can support existing and future applications and services, it covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems. |
| cloud performance optimization initializing: Oracle Database 11g Release 2 Performance Tuning Tips & Techniques Richard Niemiec, 2012-03-19 Best practices for optimizing database performance--Cover. |
| cloud performance optimization initializing: Cloud Computing and Security Xingming Sun, Zhaoqing Pan, Elisa Bertino, 2018-09-21 This six volume set LNCS 11063 – 11068 constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Cloud Computing and Security, ICCCS 2018, held in Haikou, China, in June 2018. The 386 full papers of these six volumes were carefully reviewed and selected from 1743 submissions. The papers cover ideas and achievements in the theory and practice of all areas of inventive systems which includes control, artificial intelligence, automation systems, computing systems, electrical and informative systems. The six volumes are arranged according to the subject areas as follows: cloud computing, cloud security, encryption, information hiding, IoT security, multimedia forensics. |
| cloud performance optimization initializing: PostgreSQL 16 Cookbook, Second Edition Peter G, 2024-08-09 Offering a detailed practical look at PostgreSQL 16's new features, PostgreSQL 16 Cookbook, Second Edition equips database administrators and developers to take advantage of the most recent developments. This edition provides in-depth coverage of enhanced logical replication, which now includes the ability to replicate from standby servers. We provide detailed instructions for setting up these advanced replication configurations, allowing you to better distribute workloads and improve data availability. The optimization of concurrent bulk loading capabilities for faster data ingestion is another noteworthy addition. Another standout feature of PostgreSQL 16 is the expanded SQL/JSON syntax, which gives developers more control over JSON data management. Our book contains practical solutions and examples for using the new JSON functions and operators, which make it easier to store, query, and manipulate JSON data in your applications. We walk you through the process of configuring refined user roles and permissions, ensuring effective access control in complex environments. Additionally, the book teaches new monitoring capabilities introduced with the pg_stat_io view, which provide insights into I/O operations to help optimize performance. The book goes on to implement performance enhancements such as SIMD acceleration for processing ASCII and JSON strings, as well as the new load balancing feature, load_balance_hosts, which distributes traffic efficiently among multiple servers. Key Learnings Boost data availability and workload distribution using advanced logical replication techniques. Apply the SIMD acceleration to expedite the processing of ASCII and JSON strings. Make use of improved SQL/JSON syntax to manage complicated JSON data operations. Utilize pg_stat_io for troubleshooting and monitoring I/O operations. Utilize Rust libraries like pgx and rust-postgres for easy integration with PostgreSQL. Distribute workload among numerous PostgreSQL instances by configuring load_balance_hosts. Simplify user role configurations and security with refined privilege management. Utilize pgBackRest and Barman to implement strong backup strategies Table of Content Preparing PostgreSQL 16 Performing Basic PostgreSQL Operations PostgreSQL Cloud Provisioning Database Migration to Cloud and PostgreSQL WAL, AutoVacuum & ArchiveLog Partitioning and Sharding Strategies Troubleshooting Replication, Scalability & High Availability Blob, JSON Query, CAST Operator & Connections Authentication, Audit & Encryption Implementing Database Backup Strategies Perform Database Recovery & Restoration |
| cloud performance optimization initializing: PostgreSQL 15 Cookbook Peter G, 2023-03-28 If you're a PostgreSQL database administrator looking for a comprehensive guide to managing your databases, look no further than the PostgreSQL 15 Cookbook. With 100 ready solutions to common database management challenges, this book provides a complete guide to administering and troubleshooting your databases using latest PostgreSQL 15. Starting with cloud provisioning and migration, the book covers all aspects of database administration, including replication, transaction logs, partitioning, sharding, auditing, realtime monitoring, backup, recovery, and error debugging. Each solution is presented in a clear, easy-to-follow format, using a real database called 'adventureworks' to provide an on-job practicing experience. Throughout the book, you'll learn how to use tools like pglogical, pgloader, WAL, repmgr, Patroni, HAProxy, PgBouncer, pgBackRest, pgAudit and Prometheus, gaining valuable experience and expertise in managing your databases. With its focus on practical solutions and real-world scenarios, the PostgreSQL 15 Cookbook is an essential resource for any PostgreSQL database administrator. Whether you're just starting out or you're a seasoned pro, this book has everything you need to keep your databases running smoothly and efficiently. Key Learnings Streamline your PostgreSQL databases with cloud provisioning and migration techniques Optimize performance and scalability through effective replication, partitioning, and sharding Safeguard your databases with robust auditing, backup, and recovery strategies Monitor your databases in real-time with powerful tools like pgAudit, Prometheus, and Patroni Troubleshoot errors and debug your databases with expert techniques and best practices Boost your productivity and efficiency with advanced tools like pglogical, pgloader, and HAProxy. Table of Content Getting PostgreSQL 15 Ready Performing Basic PostgreSQL Operations PostgreSQL Cloud Provisioning Database Migration to Cloud and PostgreSQL WAL, AutoVacuum & ArchiveLog Partitioning and Sharding Strategies Solving Replication, Scalability & High Availability Blob, JSON Query, CAST Operator & Connections Authentication, Audit & Encryption Implementing Database Backup Strategies Exploring Database Recovey & Restoration Methods Prometheus & Continuous Monitoring Debugging PostgreSQL Audience This book is ideal for database administrators, developers, and IT professionals who are responsible for managing and troubleshooting PostgreSQL databases. It is also suitable for beginners looking to learn more about PostgreSQL administration and best practices. |
| cloud performance optimization initializing: Business Intelligence and Information Technology Aboul Ella Hassanien, |
| cloud performance optimization initializing: Docker Deep Dive Aditya Pratap Bhuyan, 2024-10-03 Docker Deep Dive: Learn, Build, and Scale with Containers is a comprehensive guide that takes readers on a journey from understanding the fundamentals of Docker to mastering advanced containerization and orchestration techniques. Whether you are a beginner looking to grasp the basics or an experienced developer seeking to enhance your skills, this book offers something for everyone. Starting with Docker's core concepts, readers will learn to build, manage, and deploy containerized applications. The book dives into topics such as creating Dockerfiles, managing containerized environments with Docker Compose, handling networking and persistent data storage, and integrating Docker with continuous integration/continuous delivery (CI/CD) pipelines. As the chapters progress, the book delves into advanced topics like container orchestration with Docker Swarm and Kubernetes, security best practices, performance tuning, and deploying Docker in cloud environments. Special emphasis is placed on cutting-edge networking concepts and service meshes using tools like Istio, helping readers to efficiently manage communication between microservices. This book equips readers with practical knowledge and hands-on examples, enabling them to build scalable, secure, and reliable containerized applications. With insights into the future of containerization and trends in the evolving ecosystem, Docker Deep Dive is the ultimate resource for developers, DevOps engineers, and IT professionals looking to master Docker and its powerful features. By the end of this book, readers will have the skills and confidence to independently manage Docker in production environments. |
| cloud performance optimization initializing: High Performance Computing Gonzalo Hernandez, Carlos Jaime Barrios Hernandez, Gilberto Díaz, Carlos García Garino, Sergio Nesmachnow, Tomas Pérez-Acle, Mario Storti, Mariano Vázquez, 2014-10-17 This book constitutes the refereed proceedings of the First HPCLATAM - CLCAR Joint Latin American High Performance Computing Conference, CARLA 2014, held in Valparaiso, Chile, in October 2014. The 17 revised full papers and the one paper presented were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections on grid and cloud computing; HPC architectures and tools; parallel programming; scientific computing. |
| cloud performance optimization initializing: Resource Management and Performance Analysis of Wireless Communication Networks Shunfu Jin, Wuyi Yue, 2021-04-16 With the diversification of Internet services and the increase in mobile users, efficient management of network resources has become an extremely important issue in the field of wireless communication networks (WCNs). Adaptive resource management is an effective tool for improving the economic efficiency of WCN systems as well as network design and construction, especially in view of the surge in mobile device demands. This book presents modelling methods based on queueing theory and Markov processes for a wide variety of WCN systems, as well as precise and approximate analytical solution methods for the numerical evaluation of the system performance. This is the first book to provide an overview of the numerical analyses that can be gleaned by applying queueing theory, traffic theory and other analytical methods to various WCN systems. It also discusses the recent advances in the resource management of WCNs, such as broadband wireless access networks, cognitive radio networks, and green cloud computing. It assumes a basic understanding of computer networks and queueing theory, and familiarity with stochastic processes is also recommended. The analysis methods presented in this book are useful for first-year-graduate or senior computer science and communication engineering students. Providing information on network design and management, performance evaluation, queueing theory, game theory, intelligent optimization, and operations research for researchers and engineers, the book is also a valuable reference resource for students, analysts, managers and anyone in the industry interested in WCN system modelling, performance analysis and numerical evaluation. |
| cloud performance optimization initializing: CockroachDB: The Definitive Guide Guy Harrison, Jesse Seldess, Ben Darnell, 2022-04-08 Get the lowdown on CockroachDB, the elastic SQL database built to handle the demands of today's data-driven world. With this practical guide, software developers, architects, and DevOps teams will discover the advantages of building on a distributed SQL database. You'll learn how to create applications that scale elastically and provide seamless delivery for end users while remaining exceptionally resilient and indestructible. Written from scratch for the cloud and architected to scale elastically to handle the demands of cloud native and open source, CockroachDB makes it easier to build and scale modern applications. If you're familiar with distributed systems, you'll quickly discover the benefits of strong data correctness and consistency guarantees as well as optimizations for delivering ultralow latencies to globally distributed end users. With this thorough guide, you'll learn how to: Plan and build applications for distributed infrastructure, including data modeling and schema design Migrate data into CockroachDB Read and write data and run ACID transactions across distributed infrastructure Optimize queries for performance across geographically distributed replicas Plan a CockroachDB deployment for resiliency across single-region and multiregion clusters Secure, monitor, and optimize your CockroachDB deployment |
| cloud performance optimization initializing: Communication Infrastructures for Cloud Computing Mouftah, Hussein T., 2013-09-30 Cloud computing has provided multiple advantages as well as challenges to software and infrastructure services. In order to be fully beneficial, these challenges facing cloud specific communication protocols must be addressed. Communication Infrastructures for Cloud Computing presents the issues and research directions for a broad range of cloud computing aspects of software, computing, and storage systems. This book will highlight a broad range of topics in communication infrastructures for cloud computing that will benefit researchers, academics, and practitioners in the active fields of engineering, computer science, and software. |
| cloud performance optimization initializing: Algorithms in Advanced Artificial Intelligence R. N. V. Jagan Mohan, Vasamsetty Chandra Sekhar, V. M. N. S. S. V. K. R. Gupta, 2024-07-08 The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions. |
| cloud performance optimization initializing: The IOS Game Programming Collection (Collection) Michael Daley, Rod Strougo, Ray Wenderlich, 2011-12-30 The iOS Game Programming Collection consists of two bestselling eBooks: Learning iOS Game Programming: A Hands-On Guide to Building Your First iPhone Game Learning Cocos2D: A Hands-on Guide to Building iOS Games with Cocos2D, Box2D, and Chipmunk Since the launch of the App Store, games have been the hottest category of apps for the iPhone, iPod touch, and iPad. That means your best chance of tapping into the iPhone/iPad Gold Rush is to put out a killer game that everyone wants to play (and talk about). While many people think games are hard to build, they actually can be quite easy, and this collection is your perfect beginner's guide. Learning iOS Game Programming walks you through every step as you build a 2D tile map game, Sir Lamorak's Quest: The Spell of Release (which is free in the App Store). You can download and play the game you're going to build while you learn about the code. You learn the key characteristics of a successful iPhone game and important terminology and tools you will use. Learning Cocos2D walks you through the process of building Space Viking (which is free on the App Store), a 2D scrolling game that leverages Cocos2D, Box2D, and Chipmunk. As you build Space Viking, you'll learn everything you need to know about Cocos2D so you can create the next killer iOS game. This collection helps you Plan high-level game design, components, and difficulty levels Use game loops to make sure the right events happen at the right time Render images, create sprite sheets, and build animations Use tile maps to build large game worlds from small reusable images Create fire, explosions, smoke, sparks, and other organic effects Deliver great sound via OpenAL and the iPhone's media player Provide game control via iPhone's touch and accelerometer features Craft an effective, intuitive game interface Build game objects and entities and making them work properly Detect collisions and ensuring the right response to them Polish, test, debug, and performance-tune your game Install and configure Cocos2D so it works with Xcode 4 Build a complete 2D action adventure game with Cocos2D Build your game's main menu screen for accessing levels Use Cocos2D's Scheduler to make sure the right events happen at the right times Use tile maps to build scrolling game levels from reusable images Add audio and sound effects with CocosDenshion--Cocos2D's sound engine Add gravity, realistic collisions, and ragdoll effects with Box2D and Chipmunk physics engines Add amazing effects to your games with particle systems Leverage Game Center in your game for achievements and leader boards Squeeze the most performance from your games |
| cloud performance optimization initializing: Computer Vision – ECCV 2022 Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, 2022-10-22 The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation. |
| cloud performance optimization initializing: Advancements in Interdisciplinary Research Vijayan Sugumaran, Divya Upadhyay, Shanu Sharma, 2023-01-20 This volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues. |
| cloud performance optimization initializing: Multi-Cloud Administration Guide Jeroen Mulder, 2024-08-08 As businesses increasingly adopt cloud-first strategies, managing workloads across multiple cloud platforms becomes a critical challenge. This comprehensive book provides practical solutions and in-depth knowledge to efficiently operate in a multi-cloud world. Learn to leverage frameworks from AWS, Azure, GCP, and Alibaba Cloud to maximize the benefits of multi-cloud environments. Understand cloud networking, software-defined networking, and microservices to optimize cloud connectivity. Develop a robust data strategy to ensure data quality, security, and integrity across multiple cloud platforms. Discover how automation and AI can help maintain compliance with governmental and industry regulations in the cloud. Designed for cloud architects, IT administrators, and technical managers, this book is also valuable for anyone looking to deepen their understanding of cloud technologies and multi-cloud strategies. FEATURES • Uses frameworks from AWS, Azure, GCP, and Alibaba Cloud to maximize the benefits of multi-cloud environments • Provides practical instructions and real-world examples for managing multi-cloud environments • Features insights into cloud-native technologies, serverless functions, and container orchestration with Kubernetes • Explores the details of multi-cloud connectivity, storage, compute, data management, security, and compliance • Includes companion files with code samples and color figures available for downloading |
| cloud performance optimization initializing: Deep Learning Models on Cloud Platforms Vijay Ramamoorthi, 2024-07-25 Deep Learning Models on Cloud Platforms provides an in-depth exploration of the integration of deep learning techniques with cloud computing environments. Architectures, and frameworks for developing and deploying deep learning models at scale. It addresses practical considerations, including data management, computational resources, and cost-efficiency, while highlighting popular cloud platforms like AWS, Google Cloud, and Azure. Through real-world examples and case studies, readers will gain insights into best practices for leveraging cloud infrastructure to enhance deep learning capabilities and drive innovation across various industries. |
| cloud performance optimization initializing: MICROSERVICES AND SERVERLESS ARCHITECTURE 2024 Edition AWS AZURE GOOGLE Diego Rodrigues, 2024-11-11 Welcome to MICROSERVICES AND SERVERLESS ARCHITECTURE: Scalability and Efficiency in AWS, Azure, and Google Cloud - 2024 Edition, the definitive guide to transforming how you build applications in the modern era of cloud computing. Written by Diego Rodrigues, one of the most prolific authors, with over 180 titles published in six languages, this book offers a deep and practical journey to master the creation of distributed architectures, utilizing microservices and serverless to achieve new levels of scalability and efficiency. Whether you are a beginner or an experienced professional, this practical manual explores building solutions based on the three leading cloud platforms – AWS, Microsoft Azure, and Google Cloud. From setting up environments to implementing complex solutions with microservices, you will be guided step-by-step to create robust and highly scalable systems, ready for the future. You will learn to master both fundamental and advanced concepts, such as breaking down monolithic applications into independent microservices, using serverless architectures to eliminate the need for managing servers, and optimizing performance for the highest demands. The book also covers security practices, orchestration, and cloud service monitoring, ensuring that your solutions are not only efficient but also secure and resilient. Additionally, each chapter includes practical examples and case studies that challenge you to apply the knowledge acquired in real-world scenarios. This is the essential resource for developers, solution architects, and all those looking to stand out in the competitive IT market. Get ready to master the architectures shaping the future of modern applications and take your technological career to the next level with MICROSERVICES AND SERVERLESS ARCHITECTURE. TAGS: Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes Kali Linux Nmap Metasploit Wireshark information security pen test cybersecurity Linux distributions ethical hacking vulnerability analysis system exploration wireless attacks web application security malware analysis social engineering Android iOS Social Engineering Toolkit SET computer science IT professionals cybersecurity careers cybersecurity expertise cybersecurity library cybersecurity training Linux operating systems cybersecurity tools ethical hacking tools security testing penetration test cycle security concepts mobile security cybersecurity fundamentals cybersecurity techniques cybersecurity skills cybersecurity industry global cybersecurity trends Kali Linux tools cybersecurity education cybersecurity innovation penetration test tools cybersecurity best practices global cybersecurity companies cybersecurity solutions IBM Google Microsoft AWS Cisco Oracle cybersecurity consulting cybersecurity framework network security cybersecurity courses cybersecurity tutorials Linux security cybersecurity challenges cybersecurity landscape cloud security cybersecurity threats cybersecurity compliance cybersecurity research cybersecurity technology |
| cloud performance optimization initializing: Trust & Fault in Multi Layered Cloud Computing Architecture Punit Gupta, Pradeep Kumar Gupta, 2020-01-20 This book discusses various aspects of cloud computing, in which trust and fault-tolerance models are included in a multilayered, cloud architecture. The authors present a variety of trust and fault models used in the cloud, comparing them based on their functionality and the layer in the cloud to which they respond. Various methods are discussed that can improve the performance of cloud architectures, in terms of trust and fault-tolerance, while providing better performance and quality of service to user. The discussion also includes new algorithms that overcome drawbacks of existing methods, using a performance matrix for each functionality. This book provide readers with an overview of cloud computing and how trust and faults in cloud datacenters affects the performance and quality of service assured to the users. Discusses fundamental issues related to trust and fault-tolerance in Cloud Computing; Describes trust and fault management techniques in multi layered cloud architecture to improve security, reliability and performance of the system; Includes methods to enhance power efficiency and network efficiency, using trust and fault based resource allocation. |
| cloud performance optimization initializing: Monthly Weather Review , 1992 |
| cloud performance optimization initializing: Generative AI for Cloud Solutions Paul Singh, Anurag Karuparti, 2024-04-22 Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book. |
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