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Cloud Attack Vectors

网络安全, 英文图书, 软件  暂无评论 ⁄ 56 次阅读+
Cyberattacks continue to increase in volume and sophistication, targeting everything owned, managed, and serviced from the cloud. Today, there is widespread consensus–it is not a matter of if, but rather when an organization will be breached. Threat actors typically target the path of least resistance. With the accelerating adoption of cloud technologies and remote work, the path of least resistance is shifting in substantive ways. In recent years, attackers have realigned...
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Cloud and Fog Computing Platforms for Internet of Things

英文图书, 软件  暂无评论 ⁄ 187 次阅读+
Today, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network’s edge. Tradi...
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Azure AI Services at Scale for Cloud, Mobile, and Edge

人工智能, 英文图书, 软件  暂无评论 ⁄ 158 次阅读+
Description: Take advantage of the power of cloud and the latest AI techniques. Whether you’re an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book’s got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a han...
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Cloud Native DevOps with Kubernetes, 2nd Edition

英文图书, 软件  暂无评论 ⁄ 237 次阅读+
Description: Kubernetes has become the operating system of today’s cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show your development and operations staff what Kubernetes can do–and what you can do with it. This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday pro...
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Cloud Native Infrastructure with Azure

英文图书, 软件  暂无评论 ⁄ 403 次阅读+
The cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, maintaining and running these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development. With this practical book, Nishant Singh and Michael Kehoe show you how to build a true cloud ...
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Mastering Azure API Management

英文图书, 软件  暂无评论 ⁄ 312 次阅读+
Unsure of how or where to get started with Azure API Management, Microsoft’s managed service for securing, maintaining, and monitoring APIs?  Then this guide is for you.  Azure API Management integrates services like Azure Kubernetes Services (AKS), Function Apps, Logic Apps, and many others with the cloud and provides users with a single, unified, and well-structured façade in the cloud. Mastering Azure API Management is designed to help API developers and cloud engine...
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Hacking Kubernetes: Threat-Driven Analysis and Defense

网络安全, 英文图书, 软件  暂无评论 ⁄ 658 次阅读+
Description: Running cloud native workloads on Kubernetes can be challenging–keeping them secure is even more so. Kubernetes’s complexity offers malicious in-house users and external attackers alike a large assortment of attack vectors. Hacking Kubernetes reviews defaults and threat models and shows how to protect against attacks. Securing your workloads is both essential and urgent, so this invaluable hands-on guide is available to you in an early release edition b...
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OpenShift for Developers, 2nd Edition

英文图书, 软件  暂无评论 ⁄ 571 次阅读+
Description: Ready to build cloud native applications? Get a rapid, hands-on introduction to daily life as a developer whose code runs on OpenShift, the open source container application platform from Red Hat. Creating and containerizing your apps for deployment on modern distributed systems can be daunting. With this practical guide, developers will learn how to build, deploy, and manage a multitiered application on OpenShift. Authors Joshua Wood and Brian Tannous...
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Networking and Kubernetes: A Layered Approach

英文图书, 软件  暂无评论 ⁄ 718 次阅读+
Description: Kubernetes Networking is an essential guide for anyone who wants to deploy, manage, or troubleshoot a production-scale Kubernetes network. Understanding Kubernetes clusters isn’t enough to operate Kubernetes at scale. Every layer of the stack–the network, operating system, and Kubernetes–depends on the layer below. Successful administrators need to understand each layer and how it works across deployments on-premises, in the cloud, and with managed se...
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Hybrid Cloud Apps with OpenShift and Kubernetes

英文图书, 软件  暂无评论 ⁄ 677 次阅读+
Description: Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. To operate and scale OpenShift, you also need to know how to manage and expose resources to application teams and continuously deliver changes to the applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques for operationalizing OpenShift and Kubernetes in the enterprise. Industry expe...
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Cloud Native Go

英文图书, 软件  暂无评论 ⁄ 866 次阅读+
Description: What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go’s strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You’ll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectu...
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Cloud Native Machine Learning

人工智能, 英文图书, 软件  暂无评论 ⁄ 689 次阅读+
Description: Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system’s infrastructure. Deploying a machine learning model into a fully realized production system usually requires painstaking wo...
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