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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) --- Microsoft Azure (Computing platform) --- Engineering --- Cyberinfrastructure --- Management. --- Reliability of equipment --- Systems reliability --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Windows Azure (Computing platform) --- Computing platforms --- 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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On various examples ranging from geosciences to environmental sciences, this book explains how to generate an adequate description of uncertainty, how to justify semiheuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficient. It explains in what sense the existing approach to uncertainty as a combination of random and systematic components is only an approximation, presents a more adequate three-component model with an additional periodic error component, and explains how uncertainty propagation techniques can be extended to this model. The book provides a justification for a practically efficient heuristic technique (based on fuzzy decision-making). It explains how the computational complexity of uncertainty processing can be reduced. The book also shows how to take into account that in real life, the information about uncertainty is often only partially known, and, on several practical examples, explains how to extract the missing information about uncertainty from the available data.

Engineering. --- Computational Intelligence. --- Data Mining and Knowledge Discovery. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Data mining. --- Ingénierie --- Exploration de données (Informatique) --- Engineering & Applied Sciences --- Computer Science --- Uncertainty (Information theory) --- Cyberinfrastructure. --- Cyber-based information systems --- Cyber-infrastructure --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- Statistics. --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Construction --- Industrial arts --- Technology --- Electronic data processing --- Information technology --- Computer networks --- Computer systems --- Distributed databases --- High performance computing --- Information measurement --- Probabilities --- Questions and answers --- Distributed processing --- Statistics .

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"There is increasing concern that Air Force systems containing information technology are vulnerable to intelligence exploitation and offensive attack through cyberspace. In this report, the authors analyze how the Air Force acquisition/life-cycle management community can improve cybersecurity throughout the life cycle of its military systems. The focus is primarily on the subset of procured systems for which the Air Force has some control over design, architectures, protocols, and interfaces (e.g., weapon systems, platform information technology), as opposed to commercial, off-the-shelf information technology and business systems. The main themes in the authors' findings are that cybersecurity laws and policies were created to manage commercial, off-the-shelf information technology and business systems and do not adequately address the challenges of securing military systems. Nor do they adequately capture the impact to operational missions. Cybersecurity is mainly added on to systems, not designed in. The authors recommend 12 steps that the Air Force can take to improve the cybersecurity of its military systems throughout their life cycles"--Provided by publisher.

Computer networks --- Cyberinfrastructure --- Cyberspace --- Risk assessment --- Cyberterrorism --- National security --- Telecommunications --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Security measures --- Evaluation --- Prevention --- Computer security --- National security policy --- NSP (National security policy) --- Security policy, National --- Attacks on computers --- Computer attacks --- Cyber attacks --- Cyber terrorism --- Cyber war --- Cyberwarfare --- Analysis, Risk --- Assessment, Risk --- Risk analysis --- Risk evaluation --- Cyber-based information systems --- Cyber-infrastructure --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Government policy --- Economic policy --- International relations --- Military policy --- Computer crimes --- Terrorism --- Electronic data processing --- Information technology --- Computer systems --- Distributed databases --- High performance computing --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Network computers --- Distributed processing --- Electronic terrorism (Cyberterrorism) --- United States. --- Rules and practice. --- AF (Air force) --- Air Force (U.S.) --- U.S.A.F. (Air force) --- United States Air Force --- US Air Force --- USAF (Air force)

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This book collects selected high-quality papers published in 2018–2020 to inaugurate the “Natural Hazards” Section of the Geosciences journal. The topics encompass: trends in publications at international level in the field of natural hazards research; the role of Big Data in natural disaster management; assessment of seismic risk through the understanding and quantification of its different components; climatic/hydro-meteorological hazards; and finally, the scientific analysis and disaster forensics of recent natural hazard events. The target audience includes not only specialists, but also graduate students who wish to approach the challenging, but also fascinating

Research & information: general --- big data --- disaster management --- review --- natural hazards --- disaster --- scientometrics --- bibliometrics --- citation analysis --- NatCatSERVICE --- Sigma Explorer --- Oroville Dam --- spillway --- incident --- flood control --- flood-frequency analysis --- dam operation --- drought --- impacts --- exposure --- vulnerability --- risk --- policy --- risk assessment --- earthquake risk --- energy security --- reliability of power supply --- Eurasian Economic Union (EAEU) --- integration process --- common electricity market --- masonry aggregates --- vulnerability assessment --- vulnerability curves --- damage scenarios --- local hazard effect --- psychological representation of earthquakes --- open-ended and closed-questions surveys --- children --- seismic hazard assessment --- emotions --- emotional prevention --- African easterly wave --- attractor coexistence --- chaos --- hurricane --- limit cycle --- Lorenz model --- predictability --- recurrence --- extended range weather prediction --- Jakarta basin --- site effects --- shear-wave velocity --- urban fabrics --- seismic vulnerability --- critic analysis --- cost modelling --- urban preservation programming --- building works programming --- natural hazard --- earthquake --- dam spillway --- psychology --- cyber-infrastructure

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The information infrastructure – comprising computers, embedded devices, networks and software systems – is vital to day-to-day operations in every sector: information and telecommunications, banking and finance, energy, chemicals and hazardous materials, agriculture, food, water, public health, emergency services, transportation, postal and shipping, government and defense. Global business and industry, governments, indeed society itself, cannot function effectively if major components of the critical information infrastructure are degraded, disabled or destroyed. Critical Infrastructure Protection III describes original research results and innovative applications in the interdisciplinary field of critical infrastructure protection. Also, it highlights the importance of weaving science, technology and policy in crafting sophisticated, yet practical, solutions that will help secure information, computer and network assets in the various critical infrastructure sectors. Areas of coverage include: Risk Management Control Systems Security Infrastructure Security Infrastructure Modeling and Simulation This book is the third volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.10 on Critical Infrastructure Protection, an international community of scientists, engineers, practitioners and policy makers dedicated to advancing research, development and implementation efforts focused on infrastructure protection. The book contains a selection of seventeen edited papers from the Third Annual IFIP WG 11.10 International Conference on Critical Infrastructure Protection held at Dartmouth College, Hanover, New Hampshire, USA in the spring of 2009. Critical Infrastructure Protection III is an important resource for researchers, faculty members and graduate students, as well as for policy makers, practitioners and other individuals with interests in homeland security. Charles Palmer is a Senior Technical Advisor with the Institute for Information Infrastructure Protection, Dartmouth College, Hanover, New Hampshire, USA. Sujeet Shenoi is the F.P. Walter Professor of Computer Science at the University of Tulsa, Tulsa, Oklahoma, USA.

Computer networks -- Security measures -- Congresses. --- Computer security -- Congresses. --- Information networks -- Security measures -- Congresses. --- Computer networks --- Computer security --- Information networks --- Cyberinfrastructure --- Computer Science --- Telecommunications --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Security measures --- Computer science. --- Computer programming. --- Data structures (Computer science). --- Coding theory. --- User interfaces (Computer systems). --- Management information systems. --- Computer Science. --- Programming Techniques. --- Coding and Information Theory. --- User Interfaces and Human Computer Interaction. --- Data Structures, Cryptology and Information Theory. --- Management of Computing and Information Systems. --- Computer Science, general. --- Data structures (Computer scienc. --- Information Systems. --- Data Structures and Information Theory. --- Data compression (Telecommunication) --- Digital electronics --- Information theory --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Informatics --- Science --- Information theory. --- Communication theory --- Communication --- Cybernetics --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Communication systems --- Programming --- Cyber-based information systems --- Cyber-infrastructure --- Information technology --- Computer systems --- Distributed databases --- High performance computing --- Automated information networks --- Networks, Information --- Information services --- Information storage and retrieval systems --- Distributed processing --- Human-computer interaction. --- IT Operations. --- Management. --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Human engineering --- User-centered system design --- User interfaces (Computer systems)