The Art Of Decoding Microservices

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The Art Of Decoding Microservices

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Author : Sumit Bhatnagar
language : en
Publisher: Springer Nature
Release Date : 2025-03-01

The Art Of Decoding Microservices written by Sumit Bhatnagar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.

Stay competitive in today’s software industry by mastering microservices. As microservices architecture becomes the modern standard, this book demystifies the transition from monoliths to microservices with clear guidance and practical examples for easier adoption and implementation. The book starts with the basics, explaining what microservices are, their benefits, and how they compare to monolithic architectures. From there, you will explore a wide range of topics including service discovery, load balancing, authentication and authorization, resilience, fault tolerance, and much more as well as practical Java examples throughout. Each chapter is meticulously crafted to offer a balance of theory and hands-on application, ensuring you not only understand the concepts but also apply them effectively in real-world scenarios. By the end of the book, you will be ready to design, implement, and manage scalable and efficient microservices-based systems. Additionally, you will gain a forward-looking perspective on emerging trends and the integration of microservices in AI and IoT. What You Will Learn Compare microservices and monolithic systems, understanding the basics, benefits and key differences Understand key principles for decomposing monoliths and designing for failure Master synchronous vs. asynchronous communication and when to use each Explore containerization, orchestration with Kubernetes, and scaling strategies Secure microservices and monitor health and performance in distributed systems Who This Book Is For Novice and experienced developers who are new to microservices and want to master the topic to drive successful software projects. The book is programming language-agnostic, and can be understood by developers of any language, but those with some familiarity with Java will benefit more from the specific examples provided.

Microservices With Go

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Author : Alexander Shuiskov
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-06-13

Microservices With Go written by Alexander Shuiskov and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.

This second edition walks you through the full lifecycle of Go microservice development, from scaffolding and system design to cloud-native rollout. Learn to secure, observe, and fine-tune services that stay responsive under load. Key Features Design and deploy scalable microservices using gRPC, Protocol Buffers and Kubernetes Discover industry best practices and gain insights into Go microservice development tools, patterns, and solutions Work with hands-on Golang microservice examples in each chapter Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMicroservices with Go, Second Edition explains the key benefits and common issues faced by developers when working with microservices, helping you understand the problems microservice architecture solves, the issues it introduces, and how to tackle them. The author distils his 18+ years of experience in building scalable and reliable infrastructure to help you grasp the importance of using the right principles and standards to achieve all that microservice architecture has to offer. You'll see why Go is a popular choice for microservice development, as well as navigate its foundational aspects, including service scaffolding, discovery, data serialization, communication, deployment, and testing. After covering development, you'll move to maintenance and reliability. This second edition is fully updated with newly added topics, including security and compliance, distributed system challenges, and performance monitoring. The final section focuses on advanced concepts, such as system reliability, observability, maintainability, and scalability. Through best practices and practical examples, you'll learn how to apply key ideas to existing applications using previously scaffolded services. By the end of this book, you'll have gained hands-on experience in developing scalable, reliable, and high-performance microservices with Go.What you will learn Leverage event-driven architecture and messaging patterns for efficient microservice communication Automate testing, CI/CD pipelines, and deployment strategies for Go microservices Establish secure communication between microservices Optimize microservice performance by monitoring, profiling, and debugging techniques Get hands-on experience in cloud-native observability and deployment tools Explore solutions to advanced distributed system scenarios, such as leader election Who this book is for This book is for all types of developers, from individuals interested in learning how to write microservices in Go to seasoned professionals who want to master the art of writing scalable and reliable microservice-based systems. A basic understanding of Go will come in handy.

Mastering The Art Of Network Programming Unraveling The Secrets Of Expert Level Programming

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Author : Steve Jones
language : en
Publisher: Walzone Press
Release Date : 2025-02-21

Mastering The Art Of Network Programming Unraveling The Secrets Of Expert Level Programming written by Steve Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Computers categories.

Unlock the intricacies of cutting-edge network programming with "Mastering the Art of Network Programming: Unraveling the Secrets of Expert-Level Programming." This comprehensive guide is crafted for seasoned developers eager to excel in network programming by mastering advanced techniques and strategies. Explore the depths of socket programming, discover asynchronous communication methods, and navigate complex protocols, all while ensuring security and robustness in networked applications. Delve into the core principles of scalability and performance optimization essential for modern network applications, accommodating increasing demands and maintaining peak efficiency. Through detailed chapters on HTTP/2, gRPC, and cloud-based solutions, this book equips you with the knowledge to leverage the latest technologies, ensuring your applications remain at the forefront of innovation. Real-world case studies and practical insights further reinforce the expertise shared, providing invaluable guidance to implement these technologies effectively. Whether you aim to enhance application robustness, improve scalability, or optimize network performance, this book serves as an indispensable resource. The structured approach and in-depth exploration of topics empower developers to build secure, efficient, and scalable network applications. Embrace this opportunity to advance your skills and navigate the complexities of network programming to achieve expert-level proficiency.

Decode And Conquer

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Author : Lewis C. Lin
language : en
Publisher:
Release Date : 2013-11-28

Decode And Conquer written by Lewis C. Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-28 with Employment interviewing categories.

Land that Dream Product Manager Job...TODAYSeeking a product management position?Get Decode and Conquer, the world's first book on preparing you for the product management (PM) interview. Author and professional interview coach, Lewis C. Lin provides you with an industry insider's perspective on how to conquer the most difficult PM interview questions. Decode and Conquer reveals: Frameworks for tackling product design and metrics questions, including the CIRCLES Method(tm), AARM Method(tm), and DIGS Method(tm) Biggest mistakes PM candidates make at the interview and how to avoid them Insider tips on just what interviewers are looking for and how to answer so they can't say NO to hiring you Sample answers for the most important PM interview questions Questions and answers covered in the book include: Design a new iPad app for Google Spreadsheet. Brainstorm as many algorithms as possible for recommending Twitter followers. You're the CEO of the Yellow Cab taxi service. How do you respond to Uber? You're part of the Google Search web spam team. How would you detect duplicate websites? The billboard industry is under monetized. How can Google create a new product or offering to address this? Get the Book that's Recommended by Executives from Google, Amazon, Microsoft, Oracle & VMWare...TODAY

Applied Graph Data Science

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Author : Pethuru Raj
language : en
Publisher: Elsevier
Release Date : 2025-01-27

Applied Graph Data Science written by Pethuru Raj and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.

Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques. - Provides comprehensive coverage of the emerging paradigm of graph data science and its real-world applications - Gives readers practical guidance on how to approach and solve complex data analysis problems using graph data science, with an emphasis on deep analysis techniques including graph neural networks (GNNs), machine learning, algorithms, graph databases, and graph query languages - Covers extended graph models such as bipartite directed graphs of place-transition nets, graphs with dynamical processes defined on them - Petri and Sleptsov nets, and graphs as programming languages - Presents all the key tools and techniques as well as the foundations of graph theory, including mathematical concepts, research, and graph analytics

Mastering Kubernetes

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Author : Gigi Sayfan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-27

Mastering Kubernetes written by Gigi Sayfan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with Computers categories.

Exploit design, deployment, and management of large-scale containers Key Features Explore the latest features available in Kubernetes 1.10 Ensure that your clusters are always available, scalable, and up to date Master the skills of designing and deploying large clusters on various cloud platforms Book Description Kubernetes is an open source system that is used to automate the deployment, scaling, and management of containerized applications. If you are running more containers or want automated management of your containers, you need Kubernetes at your disposal. To put things into perspective, Mastering Kubernetes walks you through the advanced management of Kubernetes clusters. To start with, you will learn the fundamentals of both Kubernetes architecture and Kubernetes design in detail. You will discover how to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. Using real-world use cases, you will explore the options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you will get to grips with custom resource development and utilization in automation and maintenance workflows. To scale up your knowledge of Kubernetes, you will encounter some additional concepts based on the Kubernetes 1.10 release, such as Promethus, Role-based access control, API aggregation, and more. By the end of this book, you’ll know everything you need to graduate from intermediate to advanced level of understanding Kubernetes. What you will learn Architect a robust Kubernetes cluster for long-time operation Discover the advantages of running Kubernetes on GCE, AWS, Azure, and bare metal Understand the identity model of Kubernetes, along with the options for cluster federation Monitor and troubleshoot Kubernetes clusters and run a highly available Kubernetes Create and configure custom Kubernetes resources and use third-party resources in your automation workflows Enjoy the art of running complex stateful applications in your container environment Deliver applications as standard packages Who this book is for Mastering Kubernetes is for you if you are a system administrator or a developer who has an intermediate understanding of Kubernetes and wish to master its advanced features. Basic knowledge of networking would also be helpful. In all, this advanced-level book provides a smooth pathway to mastering Kubernetes.

Llm Engineer S Handbook

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Author : Paul Iusztin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-22

Llm Engineer S Handbook written by Paul Iusztin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.

Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Key Features Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications Book DescriptionArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.What you will learn Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine it with the help of hands-on examples Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring Perform supervised fine-tuning and LLM evaluation Deploy end-to-end LLM solutions using AWS and other tools Design scalable and modularLLM systems Learn about RAG applications by building a feature and inference pipeline Who this book is for This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios

Product Leadership

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Author : Richard Banfield
language : en
Publisher: O'Reilly Media
Release Date : 2017

Product Leadership written by Richard Banfield and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Business & Economics categories.

What is product management? -- Why is product leadership so relevant? -- Being a great product leader -- Is there a formula for success? -- Hiring product leadership -- The startup organization -- The emerging organization -- The enterprise organization -- Mapping the partner ecology -- Final words.

Http 2 In Action

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Author : Barry Pollard
language : en
Publisher: Simon and Schuster
Release Date : 2019-03-06

Http 2 In Action written by Barry Pollard and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-06 with Computers categories.

Summary HTTP/2 in Action is a complete guide to HTTP/2, one of the core protocols of the web. Because HTTP/2 has been designed to be easy to transition to, including keeping it backwards compatible, adoption is rapid and expected to increase over the next few years. Concentrating on practical matters, this interesting book presents key HTTP/2 concepts such as frames, streams, and multiplexing and explores how they affect the performance and behavior of your websites. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology HTTP—Hypertext Transfer Protocol—is the standard for exchanging messages between websites and browsers. And after 20 years, it's gotten a much-needed upgrade. With support for streams, server push, header compression, and prioritization, HTTP/2 delivers vast improvements in speed, security, and efficiency. About the Book HTTP/2 in Action teaches you everything you need to know to use HTTP/2 effectively. You'll learn how to optimize web performance with new features like frames, multiplexing, and push. You'll also explore real-world examples on advanced topics like flow control and dependencies. With ready-to-implement tips and best practices, this practical guide is sure to get you—and your websites—up to speed! What's Inside HTTP/2 for web developers Upgrading and troubleshooting Real-world examples and case studies QUIC and HTTP/3 About the Reader Written for web developers and site administrators. About the Authors Barry Pollard is a professional developer with two decades of experience developing, supporting, and tuning software and infrastructure. Table of Contents PART 1 MOVING TO HTTP/2 Web technologies and HTTP The road to HTTP/2 Upgrading to HTTP/2 PART 2 USING HTTP/2 HTTP/2 protocol basics Implementing HTTP/2 push Optimizing for HTTP/2 PART 3 ADVANCED HTTP/2 Advanced HTTP/2 concepts HPACK header compression PART 4 THE FUTURE OF HTTP TCP, QUIC, and HTTP/3 Where HTTP goes from here

Data Science Bookcamp

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Author : Leonard Apeltsin
language : en
Publisher: Simon and Schuster
Release Date : 2021-12-07

Data Science Bookcamp written by Leonard Apeltsin and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Computers categories.

Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp you will learn: - Techniques for computing and plotting probabilities - Statistical analysis using Scipy - How to organize datasets with clustering algorithms - How to visualize complex multi-variable datasets - How to train a decision tree machine learning algorithm In Data Science Bookcamp you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology A data science project has a lot of moving parts, and it takes practice and skill to get all the code, algorithms, datasets, formats, and visualizations working together harmoniously. This unique book guides you through five realistic projects, including tracking disease outbreaks from news headlines, analyzing social networks, and finding relevant patterns in ad click data. About the book Data Science Bookcamp doesn’t stop with surface-level theory and toy examples. As you work through each project, you’ll learn how to troubleshoot common problems like missing data, messy data, and algorithms that don’t quite fit the model you’re building. You’ll appreciate the detailed setup instructions and the fully explained solutions that highlight common failure points. In the end, you’ll be confident in your skills because you can see the results. What's inside - Web scraping - Organize datasets with clustering algorithms - Visualize complex multi-variable datasets - Train a decision tree machine learning algorithm About the reader For readers who know the basics of Python. No prior data science or machine learning skills required. About the author Leonard Apeltsin is the Head of Data Science at Anomaly, where his team applies advanced analytics to uncover healthcare fraud, waste, and abuse. Table of Contents CASE STUDY 1 FINDING THE WINNING STRATEGY IN A CARD GAME 1 Computing probabilities using Python 2 Plotting probabilities using Matplotlib 3 Running random simulations in NumPy 4 Case study 1 solution CASE STUDY 2 ASSESSING ONLINE AD CLICKS FOR SIGNIFICANCE 5 Basic probability and statistical analysis using SciPy 6 Making predictions using the central limit theorem and SciPy 7 Statistical hypothesis testing 8 Analyzing tables using Pandas 9 Case study 2 solution CASE STUDY 3 TRACKING DISEASE OUTBREAKS USING NEWS HEADLINES 10 Clustering data into groups 11 Geographic location visualization and analysis 12 Case study 3 solution CASE STUDY 4 USING ONLINE JOB POSTINGS TO IMPROVE YOUR DATA SCIENCE RESUME 13 Measuring text similarities 14 Dimension reduction of matrix data 15 NLP analysis of large text datasets 16 Extracting text from web pages 17 Case study 4 solution CASE STUDY 5 PREDICTING FUTURE FRIENDSHIPS FROM SOCIAL NETWORK DATA 18 An introduction to graph theory and network analysis 19 Dynamic graph theory techniques for node ranking and social network analysis 20 Network-driven supervised machine learning 21 Training linear classifiers with logistic regression 22 Training nonlinear classifiers with decision tree techniques 23 Case study 5 solution