Software Change and Configuration Management A Complete Guide - 2019 Edition

Software Change and Configuration Management A Complete Guide - 2019 Edition

Author: Blokdyk, Gerardus

Publisher: Emereo

Published: 2019-05-30

Total Pages: 327

ISBN-13: 0655593772

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When doing a DR drill, have you found the run book to be out of sync with the current configuration? How many man-hours can be recovered through effective configuration management? Do you need a new release, version or patch level of the software? Is the service usage appropriate to capacity? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role… In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Software Change and Configuration Management investments work better. This Software Change and Configuration Management All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Software Change and Configuration Management Self-Assessment. Featuring 965 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Software Change and Configuration Management improvements can be made. In using the questions you will be better able to: - diagnose Software Change and Configuration Management projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Software Change and Configuration Management and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Software Change and Configuration Management Scorecard, you will develop a clear picture of which Software Change and Configuration Management areas need attention. Your purchase includes access details to the Software Change and Configuration Management self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Software Change and Configuration Management Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.


The Definitive Guide to AWS Infrastructure Automation

The Definitive Guide to AWS Infrastructure Automation

Author: Bradley Campbell

Publisher: Apress

Published: 2019-12-06

Total Pages: 363

ISBN-13: 1484253981

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Discover the pillars of AWS infrastructure automation, starting with API-driven infrastructure concepts and its immediate benefits such as increased agility, automation of the infrastructure life cycle, and flexibility in experimenting with new architectures. With this base established, the book discusses infrastructure-as-code concepts in a general form, establishing principled outcomes such as security and reproducibility. Inescapably, we delve into how these concepts enable and underpin the DevOps movement. The Definitive Guide to AWS Infrastructure Automation begins by discussing services and tools that enable infrastructure-as-code solutions; first stop: AWS's CloudFormation service. You’ll then cover the ever-expanding ecosystem of tooling emerging in this space, including CloudFormation wrappers such as Troposphere and orchestrators such as Sceptre, to completely independent third-party tools such as Terraform and Pulumi. As a bonus, you’ll also work with AWS' newly-released CDK (Cloud Development Kit). You’ll then look at how to implement modular, robust, and extensible solutions across a few examples -- in the process building out each solution with several different tools to compare and contrast the strengths and weaknesses of each. By the end of the journey, you will have gained a wide knowledge of both the AWS-provided and third-party ecosystem of infrastructure-as-code/provisioning tools, and the strengths and weaknesses of each. You’ll possess a mental framework for how to craft an infrastructure-as-code solution to solve future problems based on examples discussed throughout the book. You’ll also have a demonstrable understanding of the hands-on operation of each tool, situational appropriateness of each tool, and how to leverage the tool day to day. What You Will Learn Discover the technological and organizational benefits to infrastructure-as-code solutions Examine the overall landscape of infrastructure-as-code tooling and solutions available to consumers of AWS services See the strengths and weaknesses of these tools relative to one another as examined through hands-on implementation of several solutions Gain hands-on experience, best practices, and tips and tricks learned through several years’ real-world experience delivering solutions using these very tools in a wide variety of scenarios Engineer solid solutions that leave room for new requirements and changes without requiring needless refactoring Who This Book Is For DevOps engineers, cloud engineers and architects focused on the AWS ecosystem, software engineers/developers working within the AWS ecosystem, and engineering leaders looking for best practices.


Infrastructure as Code

Infrastructure as Code

Author: Austin Young

Publisher:

Published: 2019-08-25

Total Pages: 116

ISBN-13: 9781688449510

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This book attempts to explore all you need to know regarding Infrastructure-as-Code (IaC). It will assist you in making informed decisions, if you have plans to implement IaC. As part of the DevOps practices, IaC offers the ability to manage, configure, and create complex infrastructures by means of executable code. When adopting IaC, the infrastructure is managed by defining the preferred state of the infrastructure in source files, and using a tool to help facilitate that. The source files consist of templates, policy definitions, configuration, code, and other related assets. A better infrastructure delivery can help improve the important aspects of software delivery performance that drive business outcomes. These include time to restore service, change failure rate, lead time for changes, and deployment frequency. What You'll Learn: Understand how IaC works. Explore tools and services for updating running servers, building server templates, and provisioning servers. Learn about immutable infrastructure and the tools needed to implement it. Comprehend how to make an object reproducible. Discover the best practices for managing a dynamic infrastructure. And lots more...


Deploying ACI

Deploying ACI

Author: Frank Dagenhardt

Publisher: Cisco Press

Published: 2018-02-28

Total Pages: 934

ISBN-13: 0134661079

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Use ACI fabrics to drive unprecedented value from your data center environment With the Cisco Application Centric Infrastructure (ACI) software-defined networking platform, you can achieve dramatic improvements in data center performance, redundancy, security, visibility, efficiency, and agility. In Deploying ACI, three leading Cisco experts introduce this breakthrough platform, and walk network professionals through all facets of design, deployment, and operation. The authors demonstrate how ACI changes data center networking, security, and management; and offer multiple field-proven configurations. Deploying ACI is organized to follow the key decision points associated with implementing data center network fabrics. After a practical introduction to ACI concepts and design, the authors show how to bring your fabric online, integrate virtualization and external connections, and efficiently manage your ACI network. You’ll master new techniques for improving visibility, control, and availability; managing multitenancy; and seamlessly inserting service devices into application data flows. The authors conclude with expert advice for troubleshooting and automation, helping you deliver data center services with unprecedented efficiency. Understand the problems ACI solves,and how it solves them Design your ACI fabric, build it, and interface with devices to bring it to life Integrate virtualization technologieswith your ACI fabric Perform networking within an ACI fabric (and understand how ACI changes data center networking) Connect external networks and devices at Layer 2/Layer 3 levels Coherently manage unified ACI networks with tenants and application policies Migrate to granular policies based on applications and their functions Establish multitenancy, and evolve networking, security, and services to support it Integrate L4–7 services: device types, design scenarios, and implementation Use multisite designs to meet rigorous requirements for redundancy and business continuity Troubleshoot and monitor ACI fabrics Improve operational efficiency through automation and programmability


Cloud Data Centers and Cost Modeling

Cloud Data Centers and Cost Modeling

Author: Caesar Wu

Publisher: Morgan Kaufmann

Published: 2015-02-27

Total Pages: 848

ISBN-13: 0128016884

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Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making. - Explains how to balance cloud computing functionality with data center efficiency - Covers key requirements for power management, cooling, server planning, virtualization, and storage management - Describes advanced methods for modeling cloud computing cost including Real Option Theory and Monte Carlo Simulations - Blends theoretical and practical discussions with insights for developers, consultants, and analysts considering data center development


Infrastructure as Code

Infrastructure as Code

Author: Kief Morris

Publisher: "O'Reilly Media, Inc."

Published: 2016-06-09

Total Pages: 362

ISBN-13: 149192439X

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Virtualization, cloud, containers, server automation, and software-defined networking are meant to simplify IT operations. But many organizations adopting these technologies have found that it only leads to a faster-growing sprawl of unmanageable systems. This is where infrastructure as code can help. With this practical guide, author Kief Morris of ThoughtWorks shows you how to effectively use principles, practices, and patterns pioneered through the DevOps movement to manage cloud age infrastructure. Ideal for system administrators, infrastructure engineers, team leads, and architects, this book demonstrates various tools, techniques, and patterns you can use to implement infrastructure as code. In three parts, 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. Examine the pitfalls that organizations fall into when adopting the new generation of infrastructure technologies Understand the capabilities and service models of dynamic infrastructure platforms Learn about tools that provide, provision, and configure core infrastructure resources Explore services and tools for managing a dynamic infrastructure Learn specific patterns and practices for provisioning servers, building server templates, and updating running servers


Internet Infrastructure

Internet Infrastructure

Author: Richard Fox

Publisher: CRC Press

Published: 2017-10-20

Total Pages: 612

ISBN-13: 1351707175

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Internet Infrastructure: Networking, Web Services, and Cloud Computing provides a comprehensive introduction to networks and the Internet from several perspectives: the underlying media, the protocols, the hardware, the servers, and their uses. The material in the text is divided into concept chapters that are followed up with case study chapters that examine how to install, configure, and secure a server that offers the given service discussed. The book covers in detail the Bind DNS name server, the Apache web server, and the Squid proxy server. It also provides background on those servers by discussing DNS, DHCP, HTTP, HTTPS, digital certificates and encryption, web caches, and the variety of protocols that support web caching. Introductory networking content, as well as advanced Internet content, is also included in chapters on networks, LANs and WANs, TCP/IP, TCP/IP tools, cloud computing, and an examination of the Amazon Cloud Service. Online resources include supplementary content that is available via the textbook’s companion website, as well useful resources for faculty and students alike, including: a complete lab manual; power point notes, for installing, configuring, securing and experimenting with many of the servers discussed in the text; power point notes; animation tutorials to illustrate some of the concepts; two appendices; and complete input/output listings for the example Amazon cloud operations covered in the book.


Networks of New York

Networks of New York

Author: Ingrid Burrington

Publisher: Melville House

Published: 2016-08-30

Total Pages: 95

ISBN-13: 1612195431

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A guided tour of the physical Internet, as seen on, above, and below the city’s streets What does the Internet look like? It’s the single most essentail aspect of modern life, and yet, for many of us, the Internet looks like an open browser, or the black mirrors of our phones and computers. But in Networks of New York, Ingrid Burrington lifts our eyes from our screens to the streets, showing us that the Internet is everywhere around us, all the time—we just have to know where to look. Using New York as her point of reference and more than fifty color illustrations as her map, Burrington takes us on a tour of the urban network: She decodes spray-painted sidewalk markings, reveals the history behind cryptic manhole covers, shuffles us past subway cameras and giant carrier hotels, and peppers our journey with background stories about the NYPD's surveillance apparatus, twentieth-century telecommunication monopolies, high frequency trading on Wall Street, and the downtown building that houses the offices of both Google and the FBI's Joint Terrorism Task Force. From a rising star in the field of tech jounalism, Networks of New York is a smart, funny, and beautifully designed guide to the endlessly fascinating networks of urban Internet infrastructure. The Internet, Burrington shows us, is hiding in plain sight.


Infrastructure

Infrastructure

Author: Brian Hayes

Publisher: W. W. Norton

Published: 2014

Total Pages: 0

ISBN-13: 9780393349832

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Covering agriculture, resources, energy, communication, transportation, manufacturing and waste, this volume explores all the major ecosystems of the modern industrial world, revealing what the structures are and why they're there and uncovering beauty in unexpected places. Photos.


Building Machine Learning and Deep Learning Models on Google Cloud Platform

Building Machine Learning and Deep Learning Models on Google Cloud Platform

Author: Ekaba Bisong

Publisher: Apress

Published: 2019-09-27

Total Pages: 703

ISBN-13: 1484244702

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Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers