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Author: Saravana Gupta Ravindran
Publisher: Fractal Infinite LLC
ISBN:
Category : Computers
Languages : en
Pages : 322
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Book Description
In today’s era of rapid technological advancement, ensuring system performance, scalability, and optimization is crucial for both businesses and developers. As applications become increasingly complex, the importance of identifying and addressing bottlenecks, optimizing database queries, enhancing response times, and ensuring system reliability has never been more significant. This comprehensive guide is specifically crafted to empower software engineers, system architects, and database administrators with the necessary tools and knowledge to effectively tackle performance challenges in modern software systems. From profiling tools and advanced caching strategies to microservices architecture and query optimization, this guide covers a wide array of topics essential for constructing and upholding high-performance systems. Whether you are grappling with sluggish database queries, high latency in microservices, or scalability issues, this resource offers practical insights, hands-on techniques, and real-world examples to assist you in diagnosing, analyzing, and rectifying performance issues at every level of the system. At the core of performance tuning lies the ability to pinpoint the root causes of inefficiency. This guide delves into potent tools such as FlameGraphs, PGAnalyze, and AWS Performance Insights to aid in identifying bottlenecks within your system. It explores detailed strategies for optimizing reads and writes, denormalization, indexing, and query execution plans to ensure optimal database performance. Beyond databases, topics like distributed caching, connection pooling, and API gateways are covered, providing a comprehensive view of performance optimization in cloud-native and microservices architectures. Moreover, you will discover best practices for designing and scaling microservices, maintaining consistency in distributed systems, and employing advanced observability techniques to monitor and troubleshoot live systems. This guide addresses both theoretical concepts and practical tools necessary for modern developers to guarantee the robustness, resilience, and scalability of their systems. By the conclusion of this guide, you will not only possess a profound understanding of how to approach and resolve performance issues but also gain valuable insights into designing systems that can scale efficiently with minimal latency and maximum throughput. Whether you are optimizing databases, constructing microservices, or enhancing API performance, this guide will serve as your indispensable companion in mastering performance engineering in today’s fast-paced software landscape.
Author: Saravana Gupta Ravindran
Publisher: Fractal Infinite LLC
ISBN:
Category : Computers
Languages : en
Pages : 322
Get Book Here
Book Description
In today’s era of rapid technological advancement, ensuring system performance, scalability, and optimization is crucial for both businesses and developers. As applications become increasingly complex, the importance of identifying and addressing bottlenecks, optimizing database queries, enhancing response times, and ensuring system reliability has never been more significant. This comprehensive guide is specifically crafted to empower software engineers, system architects, and database administrators with the necessary tools and knowledge to effectively tackle performance challenges in modern software systems. From profiling tools and advanced caching strategies to microservices architecture and query optimization, this guide covers a wide array of topics essential for constructing and upholding high-performance systems. Whether you are grappling with sluggish database queries, high latency in microservices, or scalability issues, this resource offers practical insights, hands-on techniques, and real-world examples to assist you in diagnosing, analyzing, and rectifying performance issues at every level of the system. At the core of performance tuning lies the ability to pinpoint the root causes of inefficiency. This guide delves into potent tools such as FlameGraphs, PGAnalyze, and AWS Performance Insights to aid in identifying bottlenecks within your system. It explores detailed strategies for optimizing reads and writes, denormalization, indexing, and query execution plans to ensure optimal database performance. Beyond databases, topics like distributed caching, connection pooling, and API gateways are covered, providing a comprehensive view of performance optimization in cloud-native and microservices architectures. Moreover, you will discover best practices for designing and scaling microservices, maintaining consistency in distributed systems, and employing advanced observability techniques to monitor and troubleshoot live systems. This guide addresses both theoretical concepts and practical tools necessary for modern developers to guarantee the robustness, resilience, and scalability of their systems. By the conclusion of this guide, you will not only possess a profound understanding of how to approach and resolve performance issues but also gain valuable insights into designing systems that can scale efficiently with minimal latency and maximum throughput. Whether you are optimizing databases, constructing microservices, or enhancing API performance, this guide will serve as your indispensable companion in mastering performance engineering in today’s fast-paced software landscape.
Author: Michael D. Wilburn
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 68
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 14
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Book Description
Author: Yingxia Shao
Publisher: Springer Nature
ISBN: 9811539286
Category : Computers
Languages : en
Pages : 154
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Book Description
This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More concretely, it proposes a workload-aware cost model to guide the development of high-performance algorithms. On the basis of the cost model, the book subsequently presents a system-level optimization resulting in a partition-aware graph-computing engine, PAGE. In addition, it presents three efficient and scalable advanced graph algorithms – the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book offers a valuable reference guide for junior researchers, covering the latest advances in large-scale graph analysis; and for senior researchers, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology for designing efficient large-scale graph algorithms.
Author: Rithin Skaria
Publisher: Packt Publishing Ltd
ISBN: 183763811X
Category : Computers
Languages : en
Pages : 240
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Book Description
Master Azure Well-Architected Framework and improve your optimization skills by enhancing the quality of your workloads Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn Well-Architected Framework from a cloud solution architect and an official Microsoft trainer Optimize your workloads in Azure by following Microsoft recommended best practices Use reference architecture and Microsoft tests to conduct Well-Architected Framework (WAF) assessment Book DescriptionIt’s easy to learn and deploy resources in Microsoft Azure, without worrying about resource optimization. However, for production or mission critical workloads, it’s crucial that you follow best practices for resource deployment to attain security, reliability, operational excellence and performance. Apart from these aspects, you need to account for cost considerations, as it’s the leading reason for almost every organization’s cloud transformation. In this book, you’ll learn to leverage Microsoft Well-Architected Framework to optimize your workloads in Azure. This Framework is a set of recommended practices developed by Microsoft based on five aligned pillars; cost optimization, performance, reliability, operational excellence, and security. You’ll explore each of these pillars and discover how to perform an assessment to determine the quality of your existing workloads. Through the book, you’ll uncover different design patterns and procedures related to each of the Well-Architected Framework pillars. By the end of this book, you’ll be well-equipped to collect and assess data from an Azure environment and perform the necessary upturn of your Azure workloads.What you will learn Dive deep into the Azure Well-Architected Framework Explore the differences between Cloud Adoption Framework and Well-Architected Framework Understand the pillars of the Well-Architected Framework Discover varied techniques to improve the cost profile of your workload Optimize your workflows using Azure Advisor and its score Plan and prioritize the implementation of security recommendations from WAF assessments Who this book is forThis book is for developers, cloud solution architects, cloud administrators, and professionals experienced in design, implementation, and management of Azure resources. Professionals looking to learn cloud optimization or switch to a new role related to architecture can benefit from this book. An intermediate level understanding of the Microsoft Azure platform and services is a must. Experience in implementing or designing solutions in Azure is a plus but not mandatory.
Author: Jesús M. Velásquez-Bermúdez
Publisher: Springer Nature
ISBN: 303022788X
Category : Mathematics
Languages : en
Pages : 282
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Book Description
In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. The large scale optimization methods are represented by various theories such as Benders’ decomposition, logic-based Benders’ decomposition, Lagrangian relaxation, Dantzig –Wolfe decomposition, multi-tree decomposition, Van Roy’ cross decomposition and parallel decomposition for mathematical programs such as mixed integer nonlinear programming and stochastic programming. Case studies of large scale optimization in supply chain management, smart manufacturing, and Industry 4.0 are investigated with efficient implementation for real-time solutions. The features of case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, service systems, operations management, risk management, and financial and sales management. Instructors, graduate students, researchers, and practitioners, would benefit from this book finding the applicability of large scale optimization in asynchronous parallel optimization, real-time distributed network, and optimizing the knowledge-based expert system for convex and non-convex problems.
Author: Vladimir Tsurkov
Publisher: Springer Science & Business Media
ISBN: 1475732430
Category : Computers
Languages : en
Pages : 322
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Book Description
Decomposition methods aim to reduce large-scale problems to simpler problems. This monograph presents selected aspects of the dimension-reduction problem. Exact and approximate aggregations of multidimensional systems are developed and from a known model of input-output balance, aggregation methods are categorized. The issues of loss of accuracy, recovery of original variables (disaggregation), and compatibility conditions are analyzed in detail. The method of iterative aggregation in large-scale problems is studied. For fixed weights, successively simpler aggregated problems are solved and the convergence of their solution to that of the original problem is analyzed. An introduction to block integer programming is considered. Duality theory, which is widely used in continuous block programming, does not work for the integer problem. A survey of alternative methods is presented and special attention is given to combined methods of decomposition. Block problems in which the coupling variables do not enter the binding constraints are studied. These models are worthwhile because they permit a decomposition with respect to primal and dual variables by two-level algorithms instead of three-level algorithms. Audience: This book is addressed to specialists in operations research, optimization, and optimal control.
Author: Stephen Satchell
Publisher: Academic Press
ISBN: 0080959202
Category : Business & Economics
Languages : en
Pages : 323
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Book Description
The practical aspects of optimization rarely receive global, balanced examinations. Stephen Satchell's nuanced assembly of technical presentations about optimization packages (by their developers) and about current optimization practice and theory (by academic researchers) makes available highly practical solutions to our post-liquidity bubble environment. The commercial chapters emphasize algorithmic elements without becoming sales pitches, and the academic chapters create context and explore development opportunities. Together they offer an incisive perspective that stretches toward new products, new techniques, and new answers in quantitative finance. - Presents a unique "confrontation" between software engineers and academics - Highlights a global view of common optimization issues - Emphasizes the research and market challenges of optimization software while avoiding sales pitches - Accentuates real applications, not laboratory results
Author: Mridula Grandhi
Publisher: Packt Publishing Ltd
ISBN: 1803236175
Category : Computers
Languages : en
Pages : 419
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Book Description
A strategic guide that will help you make key decisions related to cloud-based architectures, modernize your infrastructure and applications, and transform your business using AWS with real-world case studies Key Features Learn cloud migration and modernization strategies on AWS Innovate your applications, data, architecture and networking by adopting AWS Leverage AWS technologies with real world use-cases to implement cloud operations Purchase of the print or Kindle book includes a free eBook in the PDF format Book Description AWS cloud technologies help businesses scale and innovate, however, adopting modern architecture and applications can be a real challenge. This book is a comprehensive guide that ensures your switch to AWS services is smooth and hitch-free. It will enable you to make optimal decisions to bring out the best ROI from AWS cloud adoption. Beginning with nuances of cloud transformation on AWS, you'll be able to plan and implement the migration steps. The book will facilitate your system modernization journey by getting you acquainted with various technical domains, namely, applications, databases, big data, analytics, networking, and security. Once you've learned about the different operations, budgeting, and management best practices such as the 6 Rs of migration approaches and the AWS Well-Architected Framework, you'll be able to achieve operational excellence in cloud adoption. You'll also learn how to deploy some of the important AWS tools and services with real-life case studies and use cases. By the end of this book, you'll be able to successfully implement cloud migration and modernization on AWS and make decisions that best suit your organization. What you will learn Strategize approaches for cloud adoption and digital transformation Understand the catalysts for business reinvention Select the right tools for cloud migration and modernization processes Leverage the potential of AWS to maximize the value of cloud investments Understand the importance of implementing secure workloads on the cloud Explore AWS services such as computation, databases, security, and networking Implement various real-life use cases and technology case studies for modernization Discover the benefits of operational excellence on the cloud Who this book is for If you are a cloud enthusiast, solutions architect, enterprise technologist, or a C-suite executive and want to learn about the strategies and AWS services to transform your IT portfolio, this book is for you. Basic knowledge of AWS services and an understanding of technologies such as computation, databases, networking, and security will be helpful.
Author: Lee Odden
Publisher: John Wiley & Sons
ISBN: 1118167775
Category : Business & Economics
Languages : en
Pages : 259
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Book Description
Attract, engage, and inspire your customers with an "Optimize and Socialize" content marketing strategy Optimize is designed to give readers a practical approach to integrating search and social media optimization with content marketing to boost relevance, visibility, and customer engagement. Companies, large and small, will benefit from the practical planning and creative content marketing tactics in this book that have been proven to increase online performance across marketing, public relations, and customer service. Learn to incorporate essential content optimization and social media engagement principles thereby increasing their ability to acquire and engage relevant customers online. Optimize provides insights from Lee Odden, one of the leading authorities on Content and Online Marketing. This book explains how to: Create a blueprint for integrated search, social media and content marketing strategy Determine which creative tactics will provide the best results for your company Implement search and social optimization holistically in the organization Measure the business value of optimized and socialized content marketing Develop guidelines, processes and training to scale online marketing success Optimize offers a tested approach for a customer-centric and adaptive online marketing strategy that incorporates the best of content, social media marketing, and search engine optimization tactics.
