Cloud computing Books

Book SynopsisLearn Anthos directly from the Google development team! Anthos delivers a consistent management platform for deploying and operating Linux and Windows applications anywhere—multicloud, edge, on-prem, bare metal, or VMware. In Google Anthos in Action you will learn: How Anthos reduces your dependencies and stack-bloat Running applications across multiple clouds and platforms Handling different workloads and data Adding automation to speed up code delivery Modernizing infrastructure with microservices and Service Mesh Policy management for enterprises Security and observability at scale In a cloud-centric world, all deployment is becoming hybrid deployment. Anthos is a modern, Kubernetes-based cloud platform that enables you to run your software in multicloud, hybrid, or on-premises deployments using the same operations tools and approach. With powerful automation features, it boosts your efficiency along the whole development lifecycle. Google Anthos in Action demystifies Anthos with practical examples of Anthos at work and invaluable insights from the Google team that built it. about the technology Anthos is built on a simple concept: write once, and run anywhere—whether that's on-prem, in any public cloud, on the edge, or all three. As the first truly multicloud platform from a major provider, Anthos was designed with the practical goals of balancing cost, efficiency, security, and performance. Anthos lets you simplify your stack, deliver software faster with cloud-native tooling, and automatically integrate high levels of security into your deployments. about the book Google Anthos in Action comes directly from the Anthos team at Google. This comprehensive book takes a true DevOps mindset, considering Google-tested patterns for how an application is designed, built, deployed, managed, monitored, and scaled. Developers will love how having a consistent platform across clouds brings a massive performance boost by standardizing the application across deployment targets, as well as how Anthos makes it easy to modernize legacy applications to cloud native infrastructure. Operations pros will appreciate how simple it is to integrate Anthos with CI/CD pipelines, automate security and policy management, and work with enterprise-level Kubernetes. Each concept is fully illustrated with exercises and hands-on examples, so you can see the power of Anthos in action. RETAIL SELLING POINTS • How Anthos reduces your dependencies and stack-bloat • Running applications across multiple clouds and platforms • Handling different workloads and data • Adding automation to speed up code delivery • Modernizing infrastructure with microservices and Service Mesh • Policy management for enterprises • Security and observability at scale AUDIENCE For software and cloud engineers with knowledge of Kubernetes. Table of Contentstable of contents detailed TOC READ IN LIVEBOOK 1OVERVIEW OF GOOGLE ANTHOS READ IN LIVEBOOK 2CLOUD IS A NEW COMPUTING STACK READ IN LIVEBOOK 3ANTHOS, THE ONE SINGLE PANE-OF-GLASS READ IN LIVEBOOK 4ANTHOS, THE COMPUTING ENVIRONMENT BUILT ON KUBERNETES READ IN LIVEBOOK 5ANTHOS SERVICE MESH: SECURITY AND OBSERVABILITY AT SCALE READ IN LIVEBOOK 6OPERATIONS MANAGEMENT IN ANTHOS 7 BRINGING IT ALL TOGETHER READ IN LIVEBOOK 8HYBRID APPLICATIONS IN ANTHOS READ IN LIVEBOOK 9ANTHOS, THE COMPUTE ENVIRONMENT RUNNING ON VMWARE 10 ANTHOS, AT THE EDGE AND TELCO WORLD READ IN LIVEBOOK 11KNATIVE SERVERLESS EXTENSION READ IN LIVEBOOK 12ANTHOS - THE NETWORKING ENVIRONMENT READ IN LIVEBOOK 13ANTHOS CONFIG MANAGEMENT 14 ANTHOS, INTEGRATIONS WITH CI/CD 15 ANTHOS, DATA AND ANALYTICS 16 USING ANTHOS FOR SECURITY AND POLICIES 17 GOOGLE CLOUD MARKETPLACE 18 MIGRATE FOR ANTHOS AND GKE 19 ANTHOS FOR BREAKING THE MONOLITH 20 ANTHOS AN END-TO-END EXAMPLE OF ML APPLICATION 21 ANTHOS ON BARE METAL 22 ANTHOS ON WINDOWS 23 LESSONS FROM THE FIELD

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Book SynopsisDiscover your complete guide to designing, deploying, and managing OpenStack-based clouds in mid-to-large IT infrastructures with best practices, expert understanding, and moreAbout This Book Design and deploy an OpenStack-based cloud in your mid-to-large IT infrastructure using automation tools and best practices Keep yourself up-to-date with valuable insights into OpenStack components and new services in the latest OpenStack release Discover how the new features in the latest OpenStack release can help your enterprise and infrastructureWho This Book Is ForThis book is for system administrators, cloud engineers, and system architects who would like to deploy an OpenStack-based cloud in a mid-to-large IT infrastructure. This book requires a moderate level of system administration and familiarity with cloud concepts. What You Will Learn Explore the main architecture design of OpenStack components and core-by-core services, and how they work together Design different high availability scenarios and plan for a no-single-point-of-failure environment Set up a multinode environment in production using orchestration tools Boost OpenStack's performance with advanced configuration Delve into various hypervisors and container technology supported by OpenStack Get familiar with deployment methods and discover use cases in a real production environment Adopt the DevOps style of automation while deploying and operating in an OpenStack environment Monitor the cloud infrastructure and make decisions on maintenance and performance improvementIn DetailIn this second edition, you will get to grips with the latest features of OpenStack. Starting with an overview of the OpenStack architecture, you'll see how to adopt the DevOps style of automation while deploying and operating in an OpenStack environment. We'll show you how to create your own OpenStack private cloud. Then you'll learn about various hypervisors and container technology supported by OpenStack. You'll get an understanding about the segregation of compute nodes based on reliability and availability needs. We'll cover various storage types in OpenStack and advanced networking aspects such as SDN and NFV. Next, you'll understand the OpenStack infrastructure from a cloud user point of view. Moving on, you'll develop troubleshooting skills, and get a comprehensive understanding of services such as high availability and failover in OpenStack. Finally, you will gain experience of running a centralized logging server and monitoring OpenStack services. The book will show you how to carry out performance tuning based on OpenStack service logs. You will be able to master OpenStack benchmarking and performance tuning. By the end of the book, you'll be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies. Style and approachThis book will help you understand the flexibility of OpenStack by showcasing integration of several out-of-the-box solutions in order to build a large-scale cloud environment.. It will also cover detailed discussions on the various design and deployment strategies for implementing a fault-tolerant and highly available cloud infrastructure.

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Book SynopsisOver 100 effective recipes to help you design, implement, and troubleshoot manage the software-defined and massively scalable Ceph storage system. About This Book • Implement a Ceph cluster successfully and learn to manage it. • Recipe based approach in learning the most efficient software defined storage system • Implement best practices on improving efficiency and security of your storage cluster • Learn to troubleshoot common issues experienced in a Ceph cluster Who This Book Is For This book is targeted at storage and cloud engineers, system administrators, or anyone who is interested in building software defined storage, to power your cloud or virtual infrastructure. If you have basic knowledge of GNU/Linux and storage systems, with no experience of software defined storage solutions and Ceph, but eager to learn then this book is for you What You Will Learn • Understand, install, configure, and manage the Ceph storage system • Get to grips with performance tuning and benchmarking, and learn practical tips to help run Ceph in production • Integrate Ceph with OpenStack Cinder, Glance, and Nova components • Deep dive into Ceph object storage, including S3, Swift, and Keystone integration • Configure a disaster recovery solution with a Ceph Multi-Site V2 gateway setup and RADOS Block Device mirroring • Gain hands-on experience with Ceph Metrics and VSM for cluster monitoring • Familiarize yourself with Ceph operations such as maintenance, monitoring, and troubleshooting • Understand advanced topics including erasure-coding, CRUSH map, cache pool, and general Ceph cluster maintenance In Detail Ceph is a unified distributed storage system designed for reliability and scalability. This technology has been transforming the software-defined storage industry and is evolving rapidly as a leader with its wide range of support for popular cloud platforms such as OpenStack, and CloudStack, and also for virtualized platforms. Ceph is backed by Red Hat and has been developed by community of developers which has gained immense traction in recent years. This book will guide you right from the basics of Ceph , such as creating blocks, object storage, and filesystem access, to advanced concepts such as cloud integration solutions. The book will also cover practical and easy to implement recipes on CephFS, RGW, and RBD with respect to the major stable release of Ceph Jewel. Towards the end of the book, recipes based on troubleshooting and best practices will help you get to grips with managing Ceph storage in a production environment. By the end of this book, you will have practical, hands-on experience of using Ceph efficiently for your storage requirements. Style and approach This step-by-step guide is filled with practical tutorials, making complex scenarios easy to understand.

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Book SynopsisThis book constitutes the refereed proceedings of the 11th International Conference on Cloud Computing and Services Science, CLOSER 2021, Virtual Event, during April 28–30, 2021. The 5 full papers included in this book were carefully reviewed and selected from 51 submissions. The proceedings deal with the topics of data processing, cloud computing environments, and services science.Table of ContentsTailoring Technology-agnostic Deployment Models to Production-ready Deployment Technologies.- Toward Secure VMs Allocation: Analysis of VMs Allocation Behaviours in the Cloud Computing Environments.- Risk Analysis Automation Process in IT Security for Cloud Applications.- AI Quality Engineering for Machine Learning based IoT Data Processing.- Quality of Service Support through a Self-adaptive System in Edge Computing Environments.

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Book SynopsisChapter 1 Introduction to Cloud Computing and Microservices.- Chapter 2 Sharing of computer resources.- Chapter 3 Distributed Computing.- Chapter 4 Decentralized Computing.- Chapter 5 Virtualization and Cloud Computing.- Chapter 6 Microservice.

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Book SynopsisThis book demystifies how Kubernetes networking actually works by walking through a simple but practical simulation that mirrors reality as closely as possible, while skipping the gory details.Widespread adoption of container orchestration platforms like Kubernetes have spawned a whole field of industry products, startups and academic research in the field of container networking, typically termed as cloud-native networking. But, what is cloud-native networking? What are the various pieces and how do they fit together?Over recent years, most applications have been deployed on cloud infrastructure. Kubernetes has been the widely adopted orchestrator for these clouds. Application developers in most cases are unaware of the underlying plumbing in Kubernetes that holds their applications running as containers. Networking is an integral part of any Kubernetes environment and efficiently drives the various abstractions provided by it. Needless to say, it greatly effects the performance of applications, which in general have a humongous amount of inter-microservice communication. The impact is even more profound in multiple cloud environments.Table of Contents1. Introduction to Kubernetes Concepts 2. Workers and Containers 3. Container–Container Networking 4. Services 5. Exposing Services 6. Multi-cluster Networking

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Book SynopsisSecure Azure compute and virtual networks with policies and controls. Implement data encryption, masking, and auditing in Azure. Protect workloads with Microsoft Defender for Cloud services. Apply Zero Trust principles to users and applications.

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Book SynopsisFrom its humble beginnings a container orchestration system, Kubernetes has become the de facto infrastructure for cloud native applications. Kubernetes impacts every aspect of the application development lifecycle, from design through deployment. To build and operate reliable cloud native systems, you need to understand what's going on below the surface. Core Kubernetes is packed with experience-driven insights and practical techniques, and takes you inside Kubernetes to teach you what you'll need to know to keep your system running like a well-oiled machine and prevent those panicked 3 AM phone calls. about the technologyKubernetes is a platform-independent layer for deploying scalable container-based applications. Kubernetes provides abstractions for clustering, replicating, and scaling system components in real time. It's especially well-suited for microservices applications, where you can easily balance the load among services. Kubernetes has become a core component of cloud native applications, and all major cloud vendors now offer hosted versions of Kubernetes. Kubernetes was initially developed by Google and is now governed as an open source project by the Cloud Native Computing Foundation (CNCF). about the bookCore Kubernetes is a reference guide designed to teach operators, SREs, and developers how to improve reliability and performance of Kubernetes-based systems. In it, Kubernetes experts Chris Love and Jay Vyas provide a guided tour through all major aspects of Kubernetes, from managing iptables to setting up dynamically scaled clusters that respond to changes in load. You'll understand the unique security concerns of container-based applications, discover tips to minimize costly unused capacity, and get pro tips for maximizing performance. This awesome collection of undocumented internals, expert techniques, and practical guidance has invaluable information you won't find anywhere else. what's inside- Kubernetes base components- Kubernetes networking- Storage and the Container Storage Interface- External load balancing and ingress- Kubernetes security- Different ways of creating a Kubernetes cluster- Configuring Kubernetes to use a GPU about the readerWritten for readers with a working knowledge of Kubernetes and microservices applications. about the authorAfter earning his PhD, Jay Vyas started his career contributing to Kubernetes' core features at RedHat, and next, he focused on helping multiple companies migrate to Cloud-Native solutions. He now resides at VMWare, once again contributing to Kubernetes and associated projects. When not coding, Jay likes to play with his video games, his synthesizers, and hang out in his Pod. As a thought leader in the Kubernetes and DevOps segment, Chris Love is a founder of multiple technology companies with over 20 years' experience in software engineering. A Google Cloud Certified Fellow, Chris has contributed to several open-source projects including Kubernetes, Bazel, and Terraform. He enjoys speaking around the world about DevOps and Kubernetes and practices martial arts in his free time.

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Book SynopsisFor nearly 25 years this best seller has been the go-to guide for JavaScript programmers. The seventh edition is fully updated to cover the 2020 version of JavaScript, and new chapters cover classes, modules, iterators, generators, Promises, async/await, and metaprogramming.

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Book SynopsisTake full advantage of Heroku's cloud-based hosting services. This guide takes you through the inner workings of this PaaS platform and delivers practical advice for architecting your application to work as efficiently as possible.

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Book SynopsisUsing Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced.

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Book SynopsisRyan Chaney, the lead author on this book, started his Cisco journey in his early 20s, completing his first CCIE (R+S) at the age of 25, before completing his second CCIE (Security) just 2 years later. Before joining Cisco, he worked in a variety of networking roles across the world, including time as a network architect for Visa in London. Ryan spent the first 10 years of his 15 years at Cisco as a systems engineer, educating customers, designing, and building IT solutions. His first experience with Meraki came while volunteering at the Royal Far West Centre for Country Kids, where he designed and built the network for their new headquarters in Manly, Sydney. At the time, no books had been published on Meraki. This experience and wanting to share his learnings with fellow network engineers, like you, became the inspiration for this book. Ryan lives in Bondi Beach, Australia. Simerjit Singh, the contributing author on this book, is a seasoned

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Book SynopsisTable of ContentsChapter 1: What is the Cloud Visual language: minimalist. Cartoon characters on white background. Images are goofy and memorable, such as a Roomba chasing a cat Content: Covers the ubiquity of the cloud in real life (connected/smart home devices, online services, etc) and sets the tone for why we should care that a book is dedicated to this topic. Asks the big questions that will be answered throughout the text: What is the cloud? How does it work? Why should I care? Now that I know that, what should I do? Chapter 2: Evolution of the Cloud (A Prehistory) Visual language: This section will take place in a prehistoric jungle. Tangled vines, volcanoes, dinosaurs, etc. Content: Covers the background of computing, from mainframes through the client/server era up to virtualization Chapter 3: The Internet: A Series of Tubes Visual language: A steampunk mad scientist’s laboratory, with lots of Rube Goldberg-esque tubes and gears Content: Covers the basics of how data gets from you to the cloud and back again, including remote servers, DNS, IP, etc. Chapter 4: Cloud Architecture Visual language: A construction job site. Bricks and mortar. Think Bob the Builder Content: Covers the core building blocks of cloud architecture. Cloud storage, databases, compute. High availability, scalability, and elasticity. Explains why these things are desirable and, in some cases, revolutionary. Chapter 5: Cloud Security Visual language: Noir (black and white, heavy shadows, stark silhouettes) Content: Covers some of the key risks associated with placing your data in the cloud, both personally and professionally. Uses a fictionalized breach to illustrate what can go wrong Chapter 6: The Internet of Things Visual language: Cubist, non-representational Content: Explains the Internet of Things, including why a smart device isn’t always better (lower security, risk of it not being supported) Chapter 7: Artificial Intelligence Visual language: Used future. Think Blade Runner or Terminator. Red-eyed robots, smog, and neon Content: Covers some basics of how the cloud accelerates AI and machine learning through the centralization of data. Gives examples of when that’s good and when it can be bad (for example, reinforcing conscious or unconscious biases) Chapter 8: What Now? Visual language: Minimalist (same as the opening section; ties everything together) Content: Looks ahead to the future of the cloud, particularly increasing levels of abstraction like serverless, voice programming, and automation. Strikes a hopeful tone and finishes by encouraging the reader to go out and build a better cloud.

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Book SynopsisGet started with Azure Cognitive Services and its APIs that expose machine learning as a service. This book introduces the suite of Azure Cognitive Services and helps you take advantage of the proven machine learning algorithms that have been developed by experts and made available through Cognitive Services, easily integrating those algorithms into your own applications without having to develop the algorithms from scratch. The book also shows you how to use the algorithms provided by Cognitive Services to accelerate data analysis and development within your organization.   The authors begin by introducing the tools and describing the steps needed to invoke libraries to analyze structured and unstructured text, speech, and pictures, and you will learn to create interactive chatbots using the Cognitive Services libraries. Each chapter contains the information you need to implement artificial intelligence (AI) via Azure Cognitive Services in your peTable of Contents1. Introducing Cognitive Services2. Prerequisites and Tools3. Vision4. Language in Cognitive Services5. Speech Services6. Power Platform & Cognitive Services7. Chatbots8. Ethics in AI

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Book SynopsisGain insights into the different challenges that can be solved using Go, with a focus on containers, Linux, security, networking, user interfaces and other relevant cloud based topics. This book reviews the necessary tools to create container-based cloud solutions with Go, a programming language that was born out of the need to address scalable, high availability cloud computing architecture needs inside Google. Go, also known as Golang, has been adopted across different industries and products with many popular Open Source projects that power cloud computing technologies such as Docker and Kubernetes being written with Go. As the complexity of cloud technology increases, so does the need for people to understand how things work under-the-hood and to fix them when they''re broken. What You Will Learn Understand how the various components of a container-based system works Tackle complex technical isTable of ContentsSoftware Development with Go Part 1: System Programming Chapter 1 - System Calls Chapter 2 - System Calls Using Go Chapter 3 - Accessing proc File System Part 2: Containers Chapter 4 - Simple Containers Chapter 5 - Containers with Networking Chapter 6 - Docker Security Part 3: Application Security Chapter 7 - Gosec and AST Chapter 8 – Scorecard Part 4: Networking Chapter 9 - Simple Networking Chapter 10 - System Networking Chapter 11 - Google gopacket Chapter 12 - Epoll Library Part 5: Securing Linux Chapter 13 - Vulnerability Scanner Chapter 14 – CrowdSec Part 6: Terminal User Interface Chapter 15 - ANSI and UI Chapter 16 - TUI Framework Part 7: Linux System Chapter 17 – systemd Chapter 18 – cadvisor

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Book SynopsisGet ready to develop microservices using open source Eclipse MicroProfile and Jakarta EE, and deploy them on Kubernetes/Docker. This book covers best practices for developing cloud-native applications with MicroProfile and Jakarta EE. This book introduces you to cloud-native applications and teaches you how to set up your development environment. You'll learn about the various components of MicroProfile, such as fault tolerance, config, health check, metrics, and JWT auth. You'll develop a RESTful web service made up of some microservices. You'll deploy your application on Docker and Kubernetes. After reading this book, you'll come away with the fundamentals you need to build and deploy your first cloud-native Java-based app. What You'll LearnBuild your first cloud-native Java-based app with the open source MicroProfile platform, and Jakarta EE 10 APIsDevelop a RESTful web service using MicroProfile and Jakarta EEDiscover and explore the key components of the MicroProfile fraTable of Contents1. Introduction to Cloud-Native Applications1.1. What are Cloud-Native Applications?1.2. Why Use Cloud-Native Applications?1.3. What are the Benefits of Using Cloud-Native Applications?2. Setting Up Your Development Environment2.1. Prerequisites2.2. Installing Java SE 172.3. Installing Kubernetes2.4. Installing Docker3. Creating a Config Component3.1. What is a Config Component?3.2. Setting Up the Config Component3.3. Accessing the Configuration Data in Your Application 4. Using the Fault Tolerance Component4.1. What is the Fault Tolerance Component?4.2. Configuring the Fault Tolerance Component4.3. Handling Failures in Your Application5. Using the Health Check Component5.1. What is the Health Check Component?5.2. Configuring the Health Check Component5.3. Checking the Health of Your Application6. Using the Metrics Component6.1. What is the Metrics Component?6.2. Collecting Metrics Data in Your Application 7. Using the JWT Authentication Component7.1. What is the JWT Authentication Component?7.2. Configuring the JWT Authentication Component7.3. Authenticating Users in Your Application8. Developing a RESTful Web Service8.1. What is a RESTful Web Service?8.2. Developing a RESTful Web Service8.3. Implementing the HTTP Methods9. Deploying an Application on Kubernetes/Docker9.1. What is Kubernetes?9.2. What is Docker?9.3. Installing Kubernetes9.4. Creating a Kubernetes Cluster9.5. Installing Docker on Kubernetes9.6. Deploying an Application on Kubernetes/Docker9.7. Benefits of using Jakarta EE and Kubernetes/Docker for developing cloud-native applications.

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Book SynopsisAudience Level: Intermediate to AdvancedTable of ContentsPart I. Getting Started1. The Core Essentials2. AWS Tools for .NET3. Additional ToolsPart II. Hosting Your Applications4. Virtual Machines5. Containers6. ServerlessPart III. Storing Your Data7. S3 Object Storage8. Microsoft SQL Server9. Other RDS Databases10. NoSQL Databases and AWS11. Purpose-built DatabasesPart IV. Moving Existing Apps to AWS12. Moving to Virtual Machines.13. Containerizing 14. Migrating your Data15. Re-platforming and RefactoringPart V. Building Cloud Native Applications16. Events and Messaging17. Monitoring and Observability

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Book SynopsisIntermediate to AdvancedTable of Contents1. Why Spring Cloud FunctionsThis chapter takes the reader through the need for Spring Cloud Functions and KNative. The rationale for Spring Cloud Functions will be elucidated through example implementation on on-prem and cloud infrastructures. The chapter highlights the “code once deploy anywhere” characteristic of Spring Cloud Functions. Subtitles1. Writing functions and deploying to any hyperscaler2. Example code3. Spring Cloud Functions on AWS (EKS, Fargate)4. Spring Cloud Functions on Azure (AKS)5. Spring Cloud Functions on Google (Cloud Run)6. Spring Cloud Functions on VMWare Tanzu (TKG, PKS)7. Spring Cloud Functions on RedHat OpenShift (OCP)2. Getting Started with Spring Cloud FunctionsThis chapter walks the reader through the steps required to get started with Spring Serverless on their platform of choice, either locally, on-prem or on the cloud. Step by Step instructions take the reader through the process of getting the environment set up for coding.Subtitles1. Step by Step: Setup locally with Kubernetes and KNative with Spring Cloud Functions2. Step by Step: Setup on AWS with EKS and KNative with Spring Cloud Functions3. Step by Step: Setup on GCP with Cloud Run/GKE and KNative with Spring Cloud Functions4. Step by Step: Setup on Azure with AKS and KNative with Spring Cloud Functions5. Step by Step: Setup on VMWare Tanzu TKG and KNative6. Step by Step: Setup on RedHat Openshift and KNative3. Coding, testing, and deploying with Spring Cloud FunctionsThis chapter covers the coding, testing, and deploying using your favorite IDE like Eclipse, Eclipse Che, Intelij IDEA, Redhat Code Ready Workspace. The reader will build an example and deploy to their favorite platforma. Building a simple example with Spring Cloud Functionsb. Testing the example will sample datac. Setting up a CI/CD pipeline for deploying to a target platformd. Deploying to the target platfomi. AWSii. GCPiii. Azureiv. VMWare Tanzuv. RedHat Openshift4. Building Event Driven Data pipelines with Spring Cloud FunctionsEvent Driven data pipelines act as a conduit to flow of data based on a specific event. The event can be a purchase order triggered on the website that initiate a data flow chain that includes aggregation of data from various data sources and splitting the data to various consumers. This chapter will discuss the various ways that Spring Spring Serverless can be implemented in the various Cloud providersSubtitles1. Spring Cloud Functions and Spring Cloud Data Flow and Spring Cloud Streams2. Spring Cloud Functions and AWS Glue3. Spring Cloud Functions and Google Cloud Data Flow4. Spring Cloud Functions and Azure Data Factory5. AI/ML Trained Serverless Endpoints with Spring Cloud FunctionsConversational AI models are one of the complex implementations that may lead to heavy use of resources in the cloud. Leveraging Serverless infra and functions can help alleviate the costs by being invoked only when needed. This chapter will help layout the blueprint of how to leverage Spring Serverless with on-prem or cloud-based AI/ML environmentsSubtitles1. Spring Cloud Functions with Google Cloud Functions and Tensor Flow2. Spring Cloud Functions with AWS Glue and AWS Sage or AI/ML3. Spring Cloud Functions with Azure Data Factory and Azure ML4. Spring Cloud Functions with Apache AI/ML on-prem VMWare Tanzu and Openshift6. Spring Cloud Functions and IOTThis chapter will take the reader through blueprints and architect diagrams of how Spring serverless works in conjunction with IOT on various Hyperscalers (Cloud Providers) or SaaS IOT Gateway providers. Subtitles1. Spring Cloud Functions on the Cloud with AWS IOT2. Spring Cloud Functions on the cloud with Azure IOT3. Spring Cloud Functions on the cloud with GCP IOT4. Spring Cloud Functions on-prem with IOT gateway on a SaaS provider (Eg, SmartSense)7. Industry specific examples with Spring Cloud FunctionsThis chapter will provide industry specific examples and use cases that will help the reader understand how Spring Serverless can be leveraged within their specific business use case1. Oil/ Natural gas pipeline tracking with Spring Cloud Functions, IOT and Spring Cloud Data Flow2. Enabling ubiquitous health care with Spring Cloud Functions and Big Data Pipelines3. Connected vehicles with Spring Cloud Functions4. Conversational AI in Retail with Spring Cloud Functions

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Book SynopsisIntermediate user levelTable of Contents1. Getting Started with MySQL in the Cloud2. Oracle Cloud Infrastructure3. A Brief Tutorial of MySQL4. MySQL Database Service5. Backup and Restore6. Point-in-Time Recovery7. Data Import and Export8. High Availability9. OCI Command-Line Interface and Application Programming Interfaces10. Migrating to MDS

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Book SynopsisExplore the serverless world using Amazon Web Services (AWS) and develop various architectures, including those for event-driven and disaster recovery designs. This book will give you an understanding of different distributed serverless architectures and how to build them using AWS components. You will begin with an introduction to serverless components and architectures, before progressing to data platforms and containers. Next, you''ll dig deeper into these serverless architectures and how they leverage AWS components through practical use cases. You will also explore designing systems in a multi-cloud paradigm. Author Jithin Jude Paul then demonstrates how efficient serverless architectures are, and the benefits of designing distributed systems globally in a cost-effective way while incorporating a microservices architectural style. Distributed Serverless Architectures with AWS concludes with a discussion of current and future trends in serverlTable of ContentsChapter 1: Introduction to Serveless ArchitecturesChapter Goal: Introduction to serverless components and architectureNo of pages 20Sub -Topics1. Serverless description2. Significance of serverless architectures3. Serverless vs containerized environments4. Main components of serverless architectureChapter 2: Distributed Serverless ArchitecturesChapter Goal: Overview of types of serverless architecturesNo of pages: 40Sub - Topics 1. Event driven architectures2. Disaster recovery architectures3. High availability architectures4. Global and cross region architectures5. Database and backend architectures6. Hybrid serverless architectureChapter 3: Event Driven ArchitecturesChapter Goal: In depth view of Event Driven ArchitecturesNo of pages : 30Sub - Topics: 1.General architecture and AWS components used 2.Explanation 3. Use cases where event driven architecture can be utilized4. Security and performance of this architecture5. QuickStart template (CloudFormation/ Terraform/ Serverless Framework)Chapter 4: Disaster Recovery ArchitecturesChapter Goal: Designing resilient architectures so that in the event of a disaster, the system keeps runningNo of pages: 40Sub - Topics: 1. General architecture and AWS components used 2. Explanation 3. Use cases where disaster recovery architecture can be implemented4. Active – active and active – passive configurations using this architecture5. Security and performance of this architecture6. QuickStart template(CloudFormation/ Terraform/ Serverless Framework)Chapter 5: High Availability ArchitecturesChapter Goal: Architect highly available systems using serverless Pages: 30 1. The general architecture and AWS components used 2. Explanation 3. Use cases where disaster recovery architecture can be implemented4. Active-active and active-passive configurations using this architecture5. Security and performance of this architecture6. QuickStart template(CloudFormation/ Terraform/ Serverless Framework)Chapter 6: Global and Cross Region ArchitecturesChapter Goal: Architect globally/ multi region systems using serverlessPages: 30 1. The general architecture and AWS components used 2. Explanation 3. Use cases where disaster recovery architecture can be implemented4. Active-active and active-passive configurations using this architecture5. Security and performance of this architecture6. QuickStart template(CloudFormation/ Terraform/ Serverless Framework)Chapter 7: Authentication, CICD and Databases in Serverless Chapter Goal: Describe authentication components, CICD Pipeline and databases for serverless architecturesPages: 40 1.Architecting authentication modules a) Overview and implementation of different Auth modulesb) Use cases of different Auth modules2. Using the correct database for serverless architecturesa) Stateful vs serverless databasesb) Implementation of serverless databases in AWS c) Use cases for various database available in AWS3. Designing CICD for serverless architecture4. QuickStart template(CloudFormation/ Terraform/ Serverless Framework)Chapter 7: Hybrid Serverless ArchitecturesChapter Goal: How serverless can co exist with traditional architectures with stateful componentsPages: 30 1. Need for hybrid architectures 2. Integrating serverless components into an existing environment3.Use cases of hybrid architectures4.Scaling of serverless and Non serverless components in a hybrid architecture5. Security and performance of this architecture6. QuickStart Template(CloudFormation/ Terraform/ Serverless Framework)Chapter 8: Microservices Architecture using ServerlessChapter Goal: How to utilize serverless environment to architect microservices architecturesPages: 20 1. Need for microservices based architecture 2. General pointers while architecting microservices using serverless components3.Use cases and advantages of this architecture4. QuickStart Template(CloudFormation/ Terraform/ Serverless Framework)Chapter 9: Looking through the Well Architected Framework lensChapter Goal: How well do serverless architectures fare when looking through AWS’ Well Architected Framework toolPages: 30 1. Serverless components used to achieve operational excellence pillar2. Serverless components used to achieve security pillar3. Serverless components used to achieve reliability pillar4. Serverless components used to achieve performance efficiency pillar5. Serverless components used to achieve cost optimization pillarChapter 10: Looking AheadChapter Goal: Discuss the latest and future trends in serverlessPages: 5-101. Latest and future trends in serverless

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Book SynopsisImprove your odds of passing one of the most highly sought-after exams for developers working with Microsoft''s cloud platform: Exam AZ-204: Developing Solutions for Microsoft Azure. This book guides you through practical examples of each of the technologies covered by the exam while exposing you to the settings and interactions between platform solutions that you will need to be in command of to prepare for the exam and to use on your job in Azure development. Chapters in this book correspond directly to the exam skills outline and are delivered in a from-the-ground-up approach, allowing you to build your knowledge as you go. This approach serves to help even novice developers get up to speed quickly, while allowing more experienced developers to find the exact topics and scenarios they need to hone their skill sets as they both prepare for the exam and reference information for real-world solutions. As you work through each chapTable of ContentsIntroductionPart I. Develop for Azure1. Develop Solutions that Use Blob Storage2. Develop Solutions that Use Cosmos DB StoragePart II. Develop Azure Compute Solutions3. Implement IaaS Solutions4. Create Azure App Service Web Apps5. Azure Container Ecosystem6. Implement Azure FunctionsPart III. Implement Azure Security7. Implement User Authentication and Authorization8. Implement Secure Cloud SolutionsPart IV. Monitor, Troubleshoot, and Optimize Azure Solutions9. Implement Caching for Solutions10. Troubleshoot Solutions by Using Metrics and Log Data Part V. Connect to and Consume Azure Services and Third-Party Services11. Implement API Management12. Develop Event-Based Solutions13. Develop Message-Based Solutions

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Book SynopsisLearn how to use Google Cloud Platform (GCP) and its services to design, build, and deploy applications. This book includes best practices, practical examples, and code snippets written in Java, making it a key resource for developers seeking hands-on experience with GCP.You'll begin with an introduction to GCP services and a review of what Java offers while developing applications for GCP. Next, you'll be walked through how to set up Google App Engine, Google Storage Cloud, and Google Cloud SQL with use cases, as well as application development and deployment. As the book progresses, you'll be exposed to advanced GCP services, deploying and scaling applications on GCP services, and troubleshooting and optimization of Java applications on GCP. The book uses real-world examples to help you understand how GCP services can solve everyday problems. After completing this book, you will understand Google Cloud Platform and its services, and will have the knowledge needed to design, build, Table of ContentsChapter 1: Introduction to Google Cloud Platform.- Chapter 2: Setting up the Development Environment.- Chapter 3: Google App Engine.- Chapter 4: Data Storage in Google Cloud.- 5: Google Cloud SQL.- Chapter 6: Advanced GCP Services.- Chapter 7: Deployment and Scaling.- Chapter 8: Troubleshooting and Optimization.- Chapter 9: Conclusion.

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Book SynopsisLearn how to deploy information assurance risk management strategies that align with the National Institute of Standards and Technology's recommendations. This book will show you how to implement information assurance risk management strategies within your organization.Aimed at system administrators and cybersecurity practitioners, author Bradley Fowler first walks you through how to assess known risks in your organization, understand why using a risk mitigation security strategy control profile is essential, and how to create one for your organization. You will then learn how to develop a risk factor table, outlining descriptions for each risk factor within your organization and which software applications you'll need to rely on for daily business communication and operations. You will also see how to assess and categorize the level of risk within each technology tool, as well as the impact of an information security breach on the organization.As you progress through the book, you'll Table of Contents

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Book SynopsisTransform your datacenter for breakthrough flexibility, agility, and scalability! Using public, private, and hybrid cloud services, you can transform your datacenter to serve fast-changing workloads, process and analyze enormous amounts of data, and achieve unprecedented flexibility and value. In this guide, two world-renowned experts in Microsoft datacenter technology show how to effectively leverage current legacy systems as you incorporate your optimal mix of cloud services. Drawing on extensive experience implementing Microsoft cloud solutions, they walk you step-by-step through your entire transition: strategy, deployment, security, identity protection, management, PowerShell automation, and more. Two concluding chapters offer indispensable advice for maximizing datacenter efficiency and supporting future innovation. Two leading enterprise cloud and Windows Server experts show how to: Move from legacy IT models to an agile service structure Implement managed self-service, iteration-based software updates, immutable infrastructure, and other elements of a modern IT environment Plan and smoothly integrate on-premises, Azure, Azure Stack, and Hybrid Cloud components Fortify IT security now and in the future Safeguard identities via new models and tools, including Remote Credential Guard Protect the OS, on premises and in the cloud Optimize datacenter efficiency via enterprise-class virtualization and other advanced technologies Promote innovation via microservices, DevOps, and NanoServer containerization Table of Contents1. Introduction: This book is for you... 2. Modern IT-the coming inflection point 3. Azure and the Azure Stack 4. Upping your security game 5. Application migration 6. Delivering datacenter efficiency 7. Supporting Innovation

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Book SynopsisCloud computing enables on-demand access to shared computing resources providing services more quickly and at a lower cost than having agencies maintain these resources themselves. Chapter 1 discusses selected agencies' progress in implementing cloud services, the extent to which those agencies increased cloud service spending and achieved savings or cost avoidances, and examples of agency-reported cloud investments with notable benefits. The Office of Management and Budget (OMB) has developed a new strategy to accelerate agency adoption of cloud-based solutions: Cloud Smart. Chapter 2 reports on the strategy of successful cloud adoption: security, procurement, and workforce. The Department of Defense (DoD) has entered the modern age of warfighting where the battlefield exists as much in the digital world as it does in the physical. Cloud is a fundamental component of the global infrastructure that will empower the warfighter with data and is critical to maintaining our military's technological advantage as reported in chapter 3. Chapter 4 discusses accelerated adoption of the Joint Enterprise Defense Infrastructure (JEDI) Cloud program. In the Clarifying Lawful Overseas Use of Data (CLOUD) Act, Congress enacted one of the first major changes in years to U.S. law governing cross-border access to electronic communications held by private companies. Chapter 5 reports on the major components of the CLOUD Act. Chapter 6 discusses United States v. Microsoft Corp as it pertains to the CLOUD Act.Table of ContentsPrefaceCloud Computing: Agencies Have Increased Usage and Realized Benefits, but Cost and Savings Data Need to Be Better TrackedFederal Cloud Computing StrategyDoD Cloud StrategyThe DoDs JEDI Cloud ProgramCross-Border Data Sharing Under the CLOUD ActSupreme Court to Hear Digital Privacy Case: Can the Government Obtain Emails Stored Abroad?Index.

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Book Synopsis

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Book SynopsisA step-by-step guide that will help you create, share, and deploy applications across your organization using MS PowerAppsKey Features Create apps with rich user experiences without paying for costly developers Improve productivity with business process automation using Microsoft Power Automate Build enterprise-grade apps with MS PowerApps’ built-in storage space, Common Data Service Book DescriptionMicrosoft PowerApps provides a modern approach to building business applications for mobile, tablet, and browser. Learn Microsoft PowerApps will guide you in creating powerful and productive apps that will add value to your organization by helping you transform old and inefficient processes and workflows.Starting with an introduction to PowerApps, this book will help you set up and configure your first application. You’ll explore a variety of built-in templates and understand the key difference between types of applications such as canvas and model-driven apps, which are used to create apps for specific business scenarios. In addition to this, you’ll learn how to generate and integrate apps directly with SharePoint, and gain an understanding of PowerApps key components such as connectors and formulas. As you advance, you’ll be able to use various controls and data sources, including technologies such as GPS, and combine them to create an iterative app. Finally, the book will help you understand how PowerApps can use several Microsoft Power Automate and Azure functionalities to improve your applications.By the end of this PowerApps book, you’ll be ready to confidently develop lightweight business applications with minimal code.What you will learn Design an app by simply dragging and dropping elements onto your canvas Understand how to store images within PowerApps Explore the use of GPS and how you can use GPS data in PowerApps Get to grips with using barcodes and QR codes in your apps Share your applications with the help of Microsoft Teams and SharePoint Use connectors to share data between your app and Microsoft’s app ecosystem Who this book is forThis book is ideal for business analysts, IT professionals, and both developers and non-developers alike. If you want to meet business needs by creating high productivity apps, this book is for you. Don’t worry if you have no experience or knowledge of PowerApps, this book simplifies PowerApps for beginners.Table of ContentsTable of Contents Introducing PowerApps Creating Your First Canvas PowerApp Creating Apps from SharePoint Publishing and Leveraging PowerApps Exploring Controls Exploring Formulas Working with Data Introducing Connectors Using GPS in PowerApps Working with Images and Barcodes Securing Your PowerApps Working Offline Using Power Automate with PowerApps Using Azure with PowerApps Introducing Model-Driven Apps Creating Model-Driven Apps Exploring Environments within Our Tenancy

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Book SynopsisLearn how to design, implement, configure, and manage your Azure Virtual Desktop environmentKey Features Learn everything about designing and deploying an Azure Virtual Desktop environment Gain in-depth insights into Azure Virtual Desktop and prepare successfully for the AZ-140 exam Explore best practices and expert tips on how to set up Azure Virtual Desktop Book DescriptionAzure Virtual Desktop is a cloud desktop virtualization platform that securely delivers virtual desktops and remote apps. Mastering Azure Virtual Desktop will guide you through designing, implementing, configuring, and maintaining an Azure Virtual Desktop environment effectively. This book can also be used as an exam preparation guide to help you sit the Microsoft AZ-140 exam.You'll start with an introduction to the essentials of Azure Virtual Desktop. Next, you'll get to grips with planning an Azure Virtual Desktop architecture before learning how to implement an Azure Virtual Desktop environment. Moving ahead, you'll learn how to manage and control access as well as configure security controls on your Azure Virtual Desktop environment. As you progress, you'll understand how to manage user environments and configure MSIX app attach and other Azure Virtual Desktop features to enhance the user experience. You'll also learn about the Azure Active Directory (AD) join and getting started feature. Finally, you'll discover how to monitor and maintain an Azure Virtual Desktop environment to help you support your users and diagnose issues when they occur.By the end of this Microsoft Azure book, you'll have covered all the essential topics you need to know to design and manage Azure Virtual Desktop and prepare for the AZ-140 exam.What you will learn Design Azure Virtual Desktop and user identities and profiles Implement networking and storage for Azure Virtual Desktop Create and configure session host images and host pools Manage access and security for MS Azure Virtual Desktop Implement FSLogix Profile Containers and FSLogix Cloud Cache Configure user experience and Azure Virtual Desktop features Plan and implement business continuity and disaster recovery Automate Azure Virtual Desktop tasks Who this book is forIf you are an IT professional, workspace administrator, architect, or consultant looking to learn about designing, implementing, and managing Azure Virtual Desktop, this book is for you. You'll also find this book helpful if you're preparing for the Microsoft AZ-140 exam.Table of ContentsTable of Contents An Introduction to Azure Virtual Desktop Design the Azure Virtual Desktop Architecture Design for User Identities and Profiles Implement and Manage Networking for Azure Virtual Desktop Implement and Manage Storage for Azure Virtual Desktop Create and Configure Host Pools and Session Hosts Configure Azure Virtual Desktop Host Pools Azure AD Join for Azure Virtual Desktop Create and Manage Session Host Images Manage Access Manage Security Implement and Manage FSLogix Configure User Experience Settings MSIX App Attach Configure Apps on a Session Host Plan and Implement Business Continuity and Disaster Recovery Automate Azure Virtual Desktop Management Tasks Monitor and Manage Performance and Health Azure Virtual Desktop's Getting Started Feature Microsoft and Community Resources Practice Exam

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Book SynopsisHarness the power of this popular declarative configuration management tool to automate your infrastructure configuration Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand the core concepts and best approaches to the latest version of the Puppet language Learn the key components of the Puppet platform and see how they deploy and apply Puppet code to infrastructure Discover approaches to collaborative working by using the right structure of code and deployment Book DescriptionAs DevOps and platform engineering drive the demand for robust internal development platforms, the need for infrastructure configuration tools has never been greater. Puppet, a powerful configuration management tool, is widely used by leading enterprises and boasts a thriving open source community. This book provides a comprehensive explanation of both the Puppet language and the platform. It begins by helping you grasp the basic concepts and approach of Puppet as a stateful language, and then builds up to explaining how to structure Puppet code to scale and allow flexibility and collaboration among teams. As you advance, you’ll find out how the Puppet platform allows the management and reporting of infrastructure configuration. The book also shows you how the platform can be integrated with other tooling, such as ServiceNow and Splunk. The concluding chapters help you implement Puppet to fit in heavily regulated and audited environments as well as modern hybrid cloud environments. By the end of this book, you’ll have gained a solid understanding of the capabilities of both the Puppet language and platform, and you will have learned how to structure and scale Puppet to create a platform to provide enterprise-grade infrastructure configuration.What you will learn Find out how to structure Puppet code and data to scale and be secure Discover the core components of the Puppet platform and how to achieve performance Get to grips with classifying infrastructure and deploying code for different environments Understand how Bolt can provide procedural orchestration alongside Puppet code Use Puppet’s integrations and Forge modules that allow Puppet to integrate with other systems Adopt approaches to adoption to ensure your Puppet implementation will succeed in regulated environments, the cloud, and with change control Who this book is forThis book is for DevOps engineers looking to automate infrastructure with Puppet as a configuration management tool. It will allow both beginners and current Puppet users to understand the full power of the Puppet language and platform. A basic understanding of Unix system administration and Windows systems and core development concepts such as revision control tools like git, virtualization, testing, and coding tooling like vi or Visual Studio code is a prerequisite.Table of ContentsTable of Contents Puppet Concepts and Practices Major Changes, Useful Tools, and References Puppet Classes, Resource Types, and Providers Variables and Data Types Facts and Functions Relationships, Ordering, and Scope Templating, Iterating, and Conditionals Developing and Managing Modules Handling Data with Puppet Puppet Platform Parts and Functions Classification and Release Management Bolt for Orchestration Taking Puppet Server Further A Brief Overview of Puppet Enterprise Approaches to Adoption

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Book SynopsisBuild, ship, and run containers from scratch with Docker and Kubernetes be it on premise or in the cloud Key Features Master Docker container setup, operation, and debugging Use Docker compose for managing multi-service applications Navigate orchestrators like Kubernetes and Docker swarmkit Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Ultimate Docker Container Book, 3rd edition enables you to leverage Docker containers for streamlined software development. You’ll uncover Docker fundamentals and how containers improve software supply chain efficiency and enhance security. You’ll start by learning practical skills such as setting up Docker environments, handling stateful components, running and testing code within containers, and managing Docker images. You’ll also explore how to adapt legacy applications for containerization and understand distributed application architecture. Next, you’ll delve into Docker's networking model, software-defined networks for secure applications, and Docker compose for managing multi-service applications along with tools for log analysis and metrics. You’ll further deepen your understanding of popular orchestrators like Kubernetes and Docker swarmkit, exploring their key concepts, and deployment strategies for resilient applications. In the final sections, you’ll gain insights into deploying containerized applications on major cloud platforms, including Azure, AWS, and GCE and discover techniques for production monitoring and troubleshooting. By the end of this book, you’ll be well-equipped to manage and scale containerized applications effectively.What you will learn Understand the benefits of using containers Manage Docker containers effectively Create and manage Docker images Explore data volumes and environment variables Master distributed application architecture Deep dive into Docker networking Use Docker Compose for multi-service apps Deploy apps on major cloud platforms Who this book is forThis book is for Linux professionals, system administrators, operations engineers, DevOps engineers, software architects, and developers looking to work with Docker and Kubernetes from scratch. A basic understanding of Docker containers is recommended, but no prior knowledge of Kubernetes is required. Familiarity with scripting tools such as Bash or PowerShell will be advantageous.Table of ContentsTable of Contents What Are Containers and Why Should I Use Them? Setting Up a Working Environment Mastering Containers Creating and Managing Container Images Data Volumes and Configuration Debugging Code Running in Containers Testing Applications Running in Containers Increasing Productivity with Docker Tips and Tricks Learning about Distributed Application Architecture Using Single-Host Networking Managing Containers with Docker Compose Shipping Logs and Monitoring Containers Introducing Container Orchestration Introducing Docker Swarm Deploying and Running a Distributed Application on Docker Swarm Exploring Kubernetes Deploying, Updating, and Securing an Application with Kubernetes Running a Containerized Application in the Cloud Monitoring and Troubleshooting an Application Running in Production

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Book SynopsisTake your penetration testing career to the next level by discovering how to set up and exploit cost-effective hacking lab environments on AWS, Azure, and GCP Key Features Explore strategies for managing the complexity, cost, and security of running labs in the cloud Unlock the power of infrastructure as code and generative AI when building complex lab environments Learn how to build pentesting labs that mimic modern environments on AWS, Azure, and GCP Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe significant increase in the number of cloud-related threats and issues has led to a surge in the demand for cloud security professionals. This book will help you set up vulnerable-by-design environments in the cloud to minimize the risks involved while learning all about cloud penetration testing and ethical hacking. This step-by-step guide begins by helping you design and build penetration testing labs that mimic modern cloud environments running on AWS, Azure, and Google Cloud Platform (GCP). Next, you’ll find out how to use infrastructure as code (IaC) solutions to manage a variety of lab environments in the cloud. As you advance, you’ll discover how generative AI tools, such as ChatGPT, can be leveraged to accelerate the preparation of IaC templates and configurations. You’ll also learn how to validate vulnerabilities by exploiting misconfigurations and vulnerabilities using various penetration testing tools and techniques. Finally, you’ll explore several practical strategies for managing the complexity, cost, and risks involved when dealing with penetration testing lab environments in the cloud. By the end of this penetration testing book, you’ll be able to design and build cost-effective vulnerable cloud lab environments where you can experiment and practice different types of attacks and penetration testing techniques.What you will learn Build vulnerable-by-design labs that mimic modern cloud environments Find out how to manage the risks associated with cloud lab environments Use infrastructure as code to automate lab infrastructure deployments Validate vulnerabilities present in penetration testing labs Find out how to manage the costs of running labs on AWS, Azure, and GCP Set up IAM privilege escalation labs for advanced penetration testing Use generative AI tools to generate infrastructure as code templates Import the Kali Linux Generic Cloud Image to the cloud with ease Who this book is forThis book is for security engineers, cloud engineers, and aspiring security professionals who want to learn more about penetration testing and cloud security. Other tech professionals working on advancing their career in cloud security who want to learn how to manage the complexity, costs, and risks associated with building and managing hacking lab environments in the cloud will find this book useful.Table of ContentsTable of Contents Getting Started with Penetration Testing Labs in the Cloud Preparing Our First Vulnerable Cloud Lab Environment Succeeding with Infrastructure as Code Tools and Strategies Setting Up Isolated Penetration Testing Lab Environments on GCP Setting Up Isolated Penetration Testing Lab Environments on Azure Setting Up Isolated Penetration Testing Lab Environments on AWS Setting Up an IAM Privilege Escalation Lab Designing and Building a Vulnerable Active Directory Lab Recommended Strategies and Best Practices

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Book SynopsisExplore techniques to design and implement low latency applications and study the impact of latency reduction Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand the impact application performance latencies have on different business use cases Develop a deep understanding of C++ features for low latency applications through real-world examples and performance data Learn how to build all the components of a C++ electronic trading system from scratch Book DescriptionC++ is meticulously designed with efficiency, performance, and flexibility as its core objectives. However, real-time low latency applications demand a distinct set of requirements, particularly in terms of performance latencies. With this book, you’ll gain insights into the performance requirements for low latency applications and the C++ features critical to achieving the required performance latencies. You’ll also solidify your understanding of the C++ principles and techniques as you build a low latency system in C++ from scratch. You’ll understand the similarities between such applications, recognize the impact of performance latencies on business, and grasp the reasons behind the extensive efforts invested in minimizing latencies. Using a step-by-step approach, you’ll embark on a low latency app development journey by building an entire electronic trading system, encompassing a matching engine, market data handlers, order gateways, and trading algorithms, all in C++. Additionally, you’ll get to grips with measuring and optimizing the performance of your trading system. By the end of this book, you’ll have a comprehensive understanding of how to design and build low latency applications in C++ from the ground up, while effectively minimizing performance latencies. What you will learn Gain insights into the nature of low latency applications across various industries Understand how to design and implement low latency applications Explore C++ design paradigms and features for low latency development Discover which C++ features are best avoided in low latency development Implement best practices and C++ features for low latency Measure performance and improve latencies in the trading system Who this book is forThis book is for C++ developers who want to gain expertise in low latency applications and effective design and development strategies. C++ software engineers looking to apply their knowledge to low latency trading systems such as HFT will find this book useful to understand which C++ features matter and which ones to avoid. Quantitative researchers in the trading industry eager to delve into the intricacies of low latency implementation will also benefit from this book. Familiarity with Linux and the C++ programming language is a prerequisite for this book.Table of ContentsTable of Contents Product Information Document Introducing Low Latency Application Development in C++ Designing Some Common Low Latency Applications in C++ Exploring C++ Concepts from A Low-Latency Application’s Perspective Building the C++ Building Blocks for Low Latency Applications Designing Our Trading Ecosystem Building the C++ Matching Engine Communicating with Market Participants Processing Market Data and Sending Orders to the Exchange in C++ Building the C++ Trading Algorithm’s Building Blocks Building the C++ Market Making and Liquidity Taking Algorithms Adding Instrumentation and Measuring Performance Analyzing and Optimizing the Performance of Our C++ System

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Book SynopsisThis book constitutes the refereed proceedings of the 8th IFIP WG 2.14 European Conference on Service-Oriented and Cloud Computing, ESOCC 2020, held in Heraklion, Crete, Greece, in September 2020. The 6 full and 8 short papers presented in this volume were carefully reviewed and selected from 20 submissions. The main event mapped to the main research track which focused on the presentation of cutting-edge research in both the service-oriented and cloud computing areas. In conjunction, an industrial track was also held attempting to bring together academia and industry through showcasing the application of service-oriented and cloud computing research, especially in the form of case studies, in the industry.The chapters ‘Identification of Comparison Key Elements and their Relationships for Cloud Service Selection’ and ‘Technology-Agnostic Declarative Deployment Automation of Cloud Applications’ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsFormal Methods.- Testing conformance in multi-component enterprise application management.- Formalizing Event-Driven Behavior of Serverless Applications.- Probabilistic Verification of Outsourced Computation Based on Novel Reversible PUFs.- Cloud Service and Platform Selection.- Multiplayer game backends: A Comparison of commodity cloud-based approaches.- Are Cloud Platforms Ready for Multi-Cloud?.- Identification of Comparison Key Elements and their Relationships for Cloud Service Selection.- Deployment and Workflows.- Deployable Self-Contained Workflow Models.- Technology-Agnostic Declarative Deployment Automation of Cloud Applications.- Blockchain-Based Healthcare Workflows in Federated Hospital Clouds.- Monitoring.- Monitoring Behavioral Compliance with Architectural Patterns based on Complex Event Processing.- Towards Real-Time Monitoring of Data Centers using Edge Computing.- Modeling Users' Performance: Predictive Analytics in an IoT Cloud Monitoring System.- Data Distribution and Analytics.- Multi-Source Distributed System Data for AI-powered Analytics.- Blockchain- and IPFS-based Data Distribution for the Internet of Things.

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