Engineering At Scale Leading Infrastructure Security And Devops In The Cloud Era 2025
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Engineering At Scale Leading Infrastructure Security And Devops In The Cloud Era 2025
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Author : Author:1- Adity Dokania , Author:2-Dr. Munish Kumar
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Engineering At Scale Leading Infrastructure Security And Devops In The Cloud Era 2025 written by Author:1- Adity Dokania , Author:2-Dr. Munish Kumar and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In the rapidly evolving world of cloud computing, engineering practices are undergoing a profound transformation. As organizations scale their digital infrastructures, the need for robust, secure, and efficient systems has never been greater. “Engineering at Scale: Leading Infrastructure, Security, and DevOps in the Cloud Era” is designed to provide insights and strategies for navigating the complexities of large-scale engineering in the modern cloud era. This book aims to explore the core principles and practices that underpin infrastructure engineering, security management, and DevOps within the context of scalable cloud environments. It provides an in-depth analysis of how companies can build resilient, high-performing systems capable of handling massive traffic loads, complex data streams, and diverse user demands, all while maintaining security and operational excellence. The content spans a wide range of topics, from designing and architecting cloud infrastructures to implementing security measures that protect critical assets. Additionally, it highlights the role of DevOps in bridging the gap between development and operations, emphasizing automation, continuous integration, and the critical importance of collaboration in modern engineering teams. With contributions from experts in the fields of cloud computing, cybersecurity, and infrastructure management, this book serves as both a practical guide and a strategic resource for leaders, engineers, and decision-makers striving to excel in the cloud era. Whether you are looking to optimize your current systems, plan a large-scale transformation, or enhance security protocols in a cloud-driven world, this book provides the tools and frameworks needed to achieve sustainable success. As we continue to advance into an era defined by agile development, elastic infrastructure, and ever-growing security challenges, this book seeks to equip professionals with the knowledge and skills necessary to thrive in a world where cloud-based technologies dominate. By understanding the principles of engineering at scale, readers will be better prepared to lead their organizations through the complexities of cloud infrastructure, security, and DevOps in the years to come. Authors
Advanced Data Engineering With Aws Building Scalable And Reliable Data Pipelines 2025
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Author : AUTHOR :1- GAYATRI TAVVA, AUTHOR :2 - DR PRIYANKA KAUSHIK
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Advanced Data Engineering With Aws Building Scalable And Reliable Data Pipelines 2025 written by AUTHOR :1- GAYATRI TAVVA, AUTHOR :2 - DR PRIYANKA KAUSHIK and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE The exponential growth of data has redefined the way organizations operate, compete, and innovate. In today’s digital era, businesses are no longer just consumers of data but active participants in building complex, scalable ecosystems that collect, process, store, and derive value from massive data streams. Amazon Web Services (AWS), as the world’s leading cloud platform, offers a robust suite of tools and services that empower enterprises to transform raw data into actionable insights with unprecedented speed and reliability. This book, Advanced Data Engineering on AWS: Building Scalable, Secure, and Intelligent Pipelines, is designed to guide readers through the essential foundations and evolving innovations in data engineering using AWS. It systematically covers the principles and practices needed to architect high-performance data pipelines that can handle modern business demands. The journey begins with establishing the Foundations of Data Engineering in the AWS Ecosystem, helping readers understand how AWS services interplay to create a seamless environment for data management. We then explore Designing Data Pipelines for Scalability and Reliability, focusing on the architectural patterns that ensure resilience and flexibility in an unpredictable data landscape. As data sources become increasingly diverse and dynamic, mastering Data Ingestion Techniques on AWS is critical. We delve into both batch and real-time ingestion strategies, enabling efficient collection of high-velocity data. Coupled with this is Data Storage Optimization using services like S3, Redshift, and Beyond, ensuring that storage solutions align with both performance and cost-efficiency goals. Understanding ETL and ELT on AWS is pivotal for preparing data for downstream analytics and machine learning tasks. Subsequently, Real-Time Data Processing on AWS highlights how to transform and analyze data streams to deliver timely, business-critical insights. Automation becomes key as we address Data Orchestration and Workflow Automation, enabling complex pipelines to run with minimal human intervention. Ensuring trust in data requires rigorous focus on Data Quality and Governance, laying a strong foundation for secure, compliant, and high-fidelity analytics. We further extend this security narrative in Security and Compliance in AWS Data Pipelines, offering a deep dive into encryption, access controls, and regulatory alignment. No modern pipeline is complete without observability; hence, Monitoring, Logging, and Performance Tuning explores techniques to gain actionable insights into pipeline behavior, prevent failures, and optimize operations proactively. In an increasingly globalized world, Advanced Architectures: Multi-Region and Hybrid Pipelines prepares readers for designing architectures that span geographic—es and cloud environments, ensuring data availability and fault tolerance. Finally, we look ahead to Future Trends: AI/ML-Driven Data Engineering on AWS, where artificial intelligence automates data engineering tasks, adaptive pipelines become reality, and next-generation solutions redefine how businesses leverage data at scale. This book aims to serve data engineers, architects, cloud practitioners, and technical leaders who seek to not only build scalable AWS-based systems but also future-proof their architectures in an evolving technology landscape. Through a blend of foundational principles, hands-on techniques, best practices, and forward-looking insights, this book is your comprehensive guide to mastering advanced data engineering on AWS. We invite you to embark on this journey to build the data systems that will power the intelligent enterprises of tomorrow. Authors Gayatri Tavva Dr Priyanka Kaushik
How To Crack Tech Interviews In The Era Of Ai
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Author : DR. SOHIT AGARWAL
language : en
Publisher: SRJX RESEARCH AND INNOVATION LAB LLP
Release Date : 2025-06-05
How To Crack Tech Interviews In The Era Of Ai written by DR. SOHIT AGARWAL and has been published by SRJX RESEARCH AND INNOVATION LAB LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Business & Economics categories.
ROADMAP TO THIS BOOK The structure of this book is carefully crafted to guide you step-by-step through the modern interview journey: Section I: The New Landscape of Tech Hiring This section helps you understand how hiring processes have changed in the age of AI. From how resumes are parsed by ATS bots to how AI tools are used in assessments, it lays the foundation for modern-day interview expectations. Section II: Cracking the Core – Problem Solving & Data Structures This section dives into data structures and algorithms, the bedrock of technical interviews. It includes smart approaches to practicing LeetCode, pattern-based problem solving, and optimizing time/space complexity—plus a reflection on the role of AI in DSA prep. Section III: Systems Design – From Basics to High-Scale Tailored for mid to senior-level candidates and aspiring full-stack engineers, this section walks through real-world design questions. It introduces frameworks for approaching any system design problem and discusses scalability, availability, caching, and AI-powered design tools. Section IV: Behavioral & Communication Rounds Technical skills may open the door, but behavioral excellence secures the offer. Learn how to ace virtual interviews, structure answers using the STAR method, and showcase emotional intelligence and product thinking through storytelling. Section V: AI, Tools, and Smart Preparation This is your competitive edge. Learn how to leverage ChatGPT, GitHub Copilot, and other AI tools for resume building, job tracking, mock interviews, and personalized preparation. It’s where traditional prep meets modern efficiency. Section VI: Mock Interviews & Real-Life Case Studies Nothing prepares like real experience. This section features annotated mock interviews, mistakes to avoid, success stories, and firsthand advice from hiring managers at top tech firms. Section VII: Domain-Specific Breakdowns (Bonus Chapters) Each role is different, and so should your preparation be. This section focuses on ML roles, data science, frontend, DevOps, and internship-specific interview paths. It aligns expectations with preparation strategies. Appendices Includes: A compilation of 500 most important interview questions A powerful Toolkit: Resume Templates, Preparation Tracker, and AI-Powered Planners Each section is modular yet connected. You can read the book front-to-back or jump to the parts most relevant to you. But no matter how you use it, this book promises one thing: by the end, you won’t just be prepared for interviews—you’ll be ready to stand out and succeed.
Pragmatic Ai
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Author : Noah Gift
language : en
Publisher: Addison-Wesley Professional
Release Date : 2018-07-12
Pragmatic Ai written by Noah Gift and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-12 with Computers categories.
Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Modern Devops Practices
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Author : Gaurav Agarwal
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-09-13
Modern Devops Practices written by Gaurav Agarwal and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-13 with Computers categories.
Enhance DevOps workflows by integrating the functionalities of Docker, Kubernetes, Spinnaker, Ansible, Terraform, Flux CD, CaaS, and more with the help of practical examples and expert tips Key Features Get up and running with containerization-as-a-service and infrastructure automation in the public cloud Learn container security techniques and secret management with Cloud KMS, Anchore Grype, and Grafeas Kritis Leverage the combination of DevOps, GitOps, and automation to continuously ship a package of software Book DescriptionContainers have entirely changed how developers and end-users see applications as a whole. With this book, you'll learn all about containers, their architecture and benefits, and how to implement them within your development lifecycle. You'll discover how you can transition from the traditional world of virtual machines and adopt modern ways of using DevOps to ship a package of software continuously. Starting with a quick refresher on the core concepts of containers, you'll move on to study the architectural concepts to implement modern ways of application development. You'll cover topics around Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools that will help you to build a base. As you advance, the book covers the core elements of cloud integration (AWS ECS, GKE, and other CaaS services), continuous integration, and continuous delivery (GitHub actions, Jenkins, and Spinnaker) to help you understand the essence of container management and delivery. The later sections of the book will take you through container pipeline security and GitOps (Flux CD and Terraform). By the end of this DevOps book, you'll have learned best practices for automating your development lifecycle and making the most of containers, infrastructure automation, and CaaS, and be ready to develop applications using modern tools and techniques.What you will learn Become well-versed with AWS ECS, Google Cloud Run, and Knative Discover how to build and manage secure Docker images efficiently Understand continuous integration with Jenkins on Kubernetes and GitHub actions Get to grips with using Spinnaker for continuous deployment/delivery Manage immutable infrastructure on the cloud with Packer, Terraform, and Ansible Explore the world of GitOps with GitHub actions, Terraform, and Flux CD Who this book is for If you are a software engineer, system administrator, or operations engineer looking to step into the world of DevOps within public cloud platforms, this book is for you. Existing DevOps engineers will also find this book useful as it covers best practices, tips, and tricks to implement DevOps with a cloud-native mindset. Although no containerization experience is necessary, a basic understanding of the software development life cycle and delivery will help you get the most out of the book.
Cloud Native Infrastructure
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Author : Justin Garrison
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-10-25
Cloud Native Infrastructure written by Justin Garrison and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-25 with Computers categories.
Cloud native infrastructure is more than servers, network, and storage in the cloud—it is as much about operational hygiene as it is about elasticity and scalability. In this book, you’ll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications. Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes. With this book, you will: Understand why cloud native infrastructure is necessary to effectively run cloud native applications Use guidelines to decide when—and if—your business should adopt cloud native practices Learn patterns for deploying and managing infrastructure and applications Design tests to prove that your infrastructure works as intended, even in a variety of edge cases Learn how to secure infrastructure with policy as code
The Practice Of Cloud System Administration
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Author : Thomas A. Limoncelli
language : en
Publisher: Addison-Wesley Professional
Release Date : 2014-09-01
The Practice Of Cloud System Administration written by Thomas A. Limoncelli and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with Business & Economics categories.
“There’s an incredible amount of depth and thinking in the practices described here, and it’s impressive to see it all in one place.” —Win Treese, coauthor of Designing Systems for Internet Commerce The Practice of Cloud System Administration, Volume 2, focuses on “distributed” or “cloud” computing and brings a DevOps/SRE sensibility to the practice of system administration. Unsatisfied with books that cover either design or operations in isolation, the authors created this authoritative reference centered on a comprehensive approach. Case studies and examples from Google, Etsy, Twitter, Facebook, Netflix, Amazon, and other industry giants are explained in practical ways that are useful to all enterprises. The new companion to the best-selling first volume, The Practice of System and Network Administration, Second Edition, this guide offers expert coverage of the following and many other crucial topics: Designing and building modern web and distributed systems Fundamentals of large system design Understand the new software engineering implications of cloud administration Make systems that are resilient to failure and grow and scale dynamically Implement DevOps principles and cultural changes IaaS/PaaS/SaaS and virtual platform selection Operating and running systems using the latest DevOps/SRE strategies Upgrade production systems with zero down-time What and how to automate; how to decide what not to automate On-call best practices that improve uptime Why distributed systems require fundamentally different system administration techniques Identify and resolve resiliency problems before they surprise you Assessing and evaluating your team’s operational effectiveness Manage the scientific process of continuous improvement A forty-page, pain-free assessment system you can start using today
Python For Devops
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Author : Noah Gift
language : en
Publisher: O'Reilly Media
Release Date : 2019-12-12
Python For Devops written by Noah Gift 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 2019-12-12 with Computers categories.
Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide. Python foundations, including a brief introduction to the language How to automate text, write command-line tools, and automate the filesystem Linux utilities, package management, build systems, monitoring and instrumentation, and automated testing Cloud computing, infrastructure as code, Kubernetes, and serverless Machine learning operations and data engineering from a DevOps perspective Building, deploying, and operationalizing a machine learning project
Devops For Developers
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Author : Michael Hüttermann
language : en
Publisher: Apress
Release Date : 2012-10-24
Devops For Developers written by Michael Hüttermann and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-24 with Computers categories.
DevOps for Developers delivers a practical, thorough introduction to approaches, processes and tools to foster collaboration between software development and operations. Efforts of Agile software development often end at the transition phase from development to operations. This book covers the delivery of software, this means “the last mile”, with lean practices for shipping the software to production and making it available to the end users, together with the integration of operations with earlier project phases (elaboration, construction, transition). DevOps for Developers describes how to streamline the software delivery process and improve the cycle time (that is the time from inception to delivery). It will enable you to deliver software faster, in better quality and more aligned with individual requirements and basic conditions. And above all, work that is aligned with the “DevOps” approach makes even more fun! Provides patterns and toolchains to integrate software development and operations Delivers an one-stop shop for kick-starting with DevOps Provides guidance how to streamline the software delivery process
Infrastructure As Code
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Author : Kief Morris
language : en
Publisher:
Release Date : 2021-01-12
Infrastructure As Code written by Kief Morris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with categories.
Just five years ago, infrastructure as code was a new concept for many companies. Today, even banks, governments, and other highly regulated organizations are moving to the cloud, leading teams everywhere to build up large, complex infrastructure codebases. With this practical book, Kief Morris of ThoughtWorks shows you how to effectively use principles, practices, and patterns pioneered by infrastructure and development teams to manage cloud age infrastructure. Ideal for system administrators, infrastructure engineers, software developers, team leads, and architects, this insightful second edition demonstrates the tools you need for implementing infrastructure as code. You'll learn about the platforms and tooling involved in creating and configuring infrastructure elements, patterns for using these tools, and practices for making infrastructure as code work in your environment. In four parts, this book covers: Foundations: Understand how to use Infrastructure as Code to drive continuous change and raise the bar of operational quality. These chapters lay out a framework for the various tools and technologies involved in building platforms to run software in the cloud. Working with infrastructure stacks: These chapters introduce practical patterns and approaches for defining, provisioning, testing, and continuously delivering changes to infrastructure resources. This includes managing and configuring environments and sharing infrastructure code. Working With Servers And Other Application Runtime Platforms: Discover patterns for provisioning and configuring servers and clusters for deploying applications. Working With Larger Systems and Teams: When you have multiple teams building and using cloud infrastructure, you need to consider workflows and governance, as well as architectural patterns for creating and managing many different infrastructure elements.