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Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures. The book starts with the base concepts of SRE operations and developer needs, followed by definitions and acronyms of Service Level Agreements in real-world scenarios. Moving forward, you will learn how to build resilient IaaS solutions, PaaS solutions, and microservices architecture in Azure. Here you will go through Azure reference architecture for high-available storage, networking and virtual machine computing, describing Availability Sets and Zones and Scale Sets as main scenarios. You will explore similar reference architectures for Platform Services such as App Services with Web Apps, and work with data solutions like Azure SQL and Azure Cosmos DB. Next, you will learn automation to enable SRE with Azure DevOps Pipelines and GitHub Actions. You'll also gain an understanding of how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads. You'll be exposed to incent management and monitoring practices, by making use of Azure Monitor/Log Analytics/Grafana, which forms the foundation of monitoring Azure and Hybrid-running workloads. As an extra, the book covers two new testing solutions: Azure Chaos Studio and Azure Load Testing. These solutions will make it easier to test the resilience of your services. After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud.

Reliability (Engineering) --- Reliability of equipment --- Systems reliability --- Engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Microsoft Azure (Computing platform) --- Windows Azure (Computing platform) --- Computing platforms --- Cyberinfrastructure --- Management. --- Cyber-based information systems --- Cyber-infrastructure --- Electronic data processing --- Information technology --- Computer networks --- Computer systems --- Distributed databases --- High performance computing --- Civil engineering --- Structural engineering --- Distributed processing --- Management

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Information technology --- Cloud computing --- Cyberinfrastructure --- Information warfare --- Telecommunication --- Computer networks --- S10/0835 --- S10/0700 --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Electronic data processing --- Network computers --- Military art and science --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Cyber-based information systems --- Cyber-infrastructure --- Computer systems --- Distributed databases --- High performance computing --- Web services --- Government policy --- Management --- China: Economics, industry and commerce--Postal service and telecommunications: since 1949 (including E-commerce) --- China: Economics, industry and commerce--International economic relations (incl. development aid and problems, WTO) --- Distributed processing

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In Knowledge Machines, Eric Meyer and Ralph Schroeder argue that digital technologies have fundamentally changed research practices in the sciences, social sciences, and humanities. Meyer and Schroeder show that digital tools and data, used collectively and in distributed mode -- which they term e-research -- have transformed not just the consumption of knowledge but also the production of knowledge. Digital technologies for research are reshaping how knowledge advances in disciplines that range from physics to literary analysis. Meyer and Schroeder map the rise of digital research and offer case studies from many fields, including biomedicine, social science uses of the Web, astronomy, and large-scale textual analysis in the humanities. They consider such topics as the challenges of sharing research data and of big data approaches, disciplinary differences and new forms of interdisciplinary collaboration, the shifting boundaries between researchers and their publics, and the ways that digital tools promote openness in science.This book considers the transformations of research from a number of perspectives, drawing especially on the sociology of science and technology and social informatics. It shows that the use of digital tools and data is not just a technical issue; it affects research practices, collaboration models, publishing choices, and even the kinds of research and research questions scholars choose to pursue. Knowledge Machines examines the nature and implications of these transformations for scholarly research.

Research --- Cyberinfrastructure. --- Interdisciplinary research. --- Open access publishing. --- Internet research. --- Communication in learning and scholarship --- Data processing. --- Technological innovations. --- Cyberinfrastructure --- Interdisciplinary research --- Open access publishing --- Internet research --- Data processing --- Technological innovations --- Science --- History as a science --- Communication in scholarship --- Scholarly communication --- Learning and scholarship --- Electronic data processing in research --- Open access to research --- Research, Open access to --- Electronic publishing --- IDR (Research) --- Research, Interdisciplinary --- Transdisciplinary research --- Cyber-based information systems --- Cyber-infrastructure --- Electronic data processing --- Information technology --- Computer networks --- Computer systems --- Distributed databases --- High performance computing --- Science research --- Scientific research --- Information services --- Methodology --- Research teams --- Distributed processing --- Research - Data processing --- Research - Technological innovations --- Communication in learning and scholarship - Technological innovations --- INFORMATION SCIENCE/General --- SCIENCE, TECHNOLOGY & SOCIETY/General --- INFORMATION SCIENCE/Internet Studies --- Web research

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"The intent of the publication is to help librarians cultivate strategies and approaches for developing data information literacy programs of their own using the work done in the multiyear, IMLS-supported Data Information Literacy (DIL) project as real-world case studies. The initial chapters introduce the concepts and ideas behind data information literacy, such as the twelve data competencies. The middle chapters describe five case studies in data information literacy conducted at different institutions (Cornell, Purdue, Minnesota, Oregon), each focused on a different disciplinary area in science and engineering. They detail the approaches taken, how the programs were implemented, and the assessment metrics used to evaluate their impact. The later chapters include the "DIL Toolkit," a distillation of the lessons learned, which is presented as a handbook for librarians interested in developing their own DIL programs. The book concludes with recommendations for future directions and growth of data information literacy. More information about the DIL project can be found on the project's website: datainfolit.org"-- "Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines need to be successful in their fields? And what role can librarians play in helping students attain these competencies? In addressing these questions, this book articulates a new area of opportunity for librarians and other information professionals, developing educational programs that introduce graduate students to the knowledge and skills needed to work with research data. The term "data information literacy" has been adopted with the deliberate intent of tying two emerging roles for librarians together. By viewing information literacy and data services as complementary rather than separate activities, the contributors seek to leverage the progress made and the lessons learned in each service area. The intent of the publication is to help librarians cultivate strategies and approaches for developing data information literacy programs"--

Academic librarians -- Effect of technological innovations on. --- Academic libraries -- Relations with faculty and curriculum -- United States -- Case studies. --- Academic libraries -- Services to graduate students. --- Cyberinfrastructure. --- Database management. --- Digital preservation. --- Electronic information resource literacy -- Study and teaching (Higher). --- Information literacy -- Study and teaching (Higher). --- LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Collection Development. --- LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General. --- Research --- Science --- Electronic information resource literacy --- Information literacy --- Academic librarians --- Academic libraries --- Data processing --- Management. --- Study and teaching (Higher) --- Effect of technological innovations on. --- Relations with faculty and curriculum --- Services to graduate students. --- Graduate students --- College libraries --- Libraries, University and college --- University libraries --- Libraries --- Libraries and colleges --- Public libraries --- College librarians --- University librarians --- Librarians --- Natural science --- Natural sciences --- Science of science --- Sciences --- Science research --- Scientific research --- Information services --- Learning and scholarship --- Methodology --- Research teams --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Cyber-based information systems --- Cyber-infrastructure --- Information technology --- Computer networks --- Computer systems --- Distributed databases --- High performance computing --- Computer files --- Digital curation --- Digital media --- Electronic preservation --- Preservation of digital information --- Preservation of materials --- Services for --- Services to colleges and universities --- Distributed processing --- Conservation and restoration --- Preservation