Tabla de Contenidos: “…Cover -- Title page -- Copyright and credits -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1: Docker and Kubernetes -- Chapter 1: Getting Started with Containers -- Technical requirements -- Container architecture -- Installing Docker -- Windows -- macOS -- Linux -- Getting started with Docker images -- hello-world -- NGINX -- Julia -- Building your own image -- Batch processing job -- API service -- Summary -- Chapter 2: Kubernetes Architecture -- Technical requirements -- Kubernetes architecture -- Control plane -- Node components -- Pods -- Deployments -- StatefulSets -- Jobs -- Services -- ClusterIP Service -- NodePort Service -- LoadBalancer Service -- Ingress and Ingress Controller -- Gateway -- Persistent Volumes -- StorageClasses -- ConfigMaps and Secrets -- ConfigMaps -- Secrets -- Summary -- Chapter 3: Getting Hands-On with Kubernetes -- Technical requirements -- Installing kubectl -- Deploying a local cluster using Kind -- Installing kind -- Deploying the cluster -- Deploying an AWS EKS cluster -- Deploying a Google Cloud GKE cluster -- Deploying an Azure AKS cluster -- Running your API on Kubernetes -- Creating the deployment -- Creating a service -- Using an ingress to access the API -- Running a data processing job in Kubernetes -- Summary -- Part 2: Big Data Stack -- Chapter 4: The Modern Data Stack -- Data architectures -- The Lambda architecture -- The Kappa architecture -- Comparing Lambda and Kappa -- Data lake design for big data -- Data warehouses -- The rise of big data and data lakes -- The rise of the data lakehouse -- Implementing the lakehouse architecture -- Batch ingestion -- Storage -- Batch processing -- Orchestration -- Batch serving -- Data visualization -- Real-time ingestion -- Real-time processing -- Real-time serving -- Real-time data visualization -- Summary…”

Tabla de Contenidos: “…Summary -- Part 4 - Productionalizing Data Engineering Pipelines - Orchestration and Tuning -- Chapter 10: Data Pipeline Orchestration -- Technical requirements -- Understanding the basics of orchestration -- Understanding core features of Apache Airflow -- Apache Airflow's extensibility -- Extending beyond operators -- Monitoring and UI -- Hosting and deployment options -- Designing data pipelines with Airflow -- Working with Argo Workflows -- Installing Argo Workflows -- Understanding the core components of Argo Workflows -- Taking a short detour -- Creating an Argo workflow -- Using Databricks Workflows -- Leveraging Azure Data Factory -- Primary components of ADF -- Summary -- Chapter 11: Performance Tuning -- Introducing the Spark UI -- Navigating the Spark UI -- The Jobs tab - overview of job execution -- Leveraging the Spark UI for performance tuning -- Identifying performance bottlenecks -- Optimizing data shuffling -- Memory management and garbage collection -- Scaling resources -- Analyzing SQL query performance -- Right-sizing compute resources -- Understanding the basics -- Understanding data skewing, indexing, and partitioning -- Data skew -- Indexing and partitioning -- Summary -- Part 5 - End-to-End Data Pipelines -- Chapter 12: Building Batch Pipelines Using Spark and Scala -- Understanding our business use case -- What's our marketing use case? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1 - Part Fundamentals -- Chapter 1: Business Central and Power Platform - Better Together -- Technical requirements -- How Business Central and Power Platform are better together -- Setting up your development environment -- Business use case - the K&amp -- S Solutions Inc. company -- The Business Central and Power Platform ecosystem -- Power Pages -- Power Virtual Agents -- Power Automate -- Power Apps -- Summary -- Chapter 2: Getting to Know Business Central APIs -- Technical requirements -- An introduction to Business Central APIs -- How to connect to Business Central APIs -- Configuring Azure Active Directory for OAuth use with Postman and Business Central -- Adding API permissions -- Creating your first GET request in Postman -- Exercise 2.1 - using Postman to call an API in Business Central -- What are the limits of working with APIs? …”

Tabla de Contenidos: “…Deploying with Cloud-based Services -- Cloud versus traditional hosting -- Infrastructure as a Service (IaaS) versus Platform as a Service (PaaS) -- Introduction to Git -- Deploying your application -- Nodejitsu -- Heroku -- Amazon Web Services (AWS) -- Create a MongoLab account and database -- Create and configure the AWS environment -- Microsoft Azure -- Digital Ocean -- Summary -- 11. Single Page Applications with Popular Frontend Frameworks -- What is a Single Page Application? …”

Tabla de Contenidos: “…-- Using AWS for deep learning -- A brief introduction to AWS -- Creating a deep learning GPU instance in AWS -- Creating a deep learning AMI in AWS -- Using Azure for deep learning -- Using Google Cloud for deep learning -- Using Paperspace for deep learning -- Summary -- Chapter 11: The Next Level in Deep Learning -- Image classification models -- Building a complete image classification solution -- Creating the image data -- Building the deep learning model -- Using the saved deep learning model -- The ImageNet dataset -- Loading an existing model -- Transfer learning -- Deploying TensorFlow models -- Other deep learning topics -- Generative adversarial networks -- Reinforcement learning -- Additional deep learning resources -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…-- Introducing distributed tracing -- Span -- Tracing - building blocks -- Reviewing context propagation -- In-process propagation -- Out-of-process propagation -- Ensuring consistency and structure -- Building application topology -- Resource attributes -- Performance analysis overview -- The baseline -- Investigating performance issues -- Summary -- Questions -- Further reading -- Chapter 2: Native Monitoring in .NET -- Technical requirements -- Building a sample application -- Log correlation -- On-demand logging with dotnet-monitor -- Monitoring with runtime counters -- Enabling auto-collection with OpenTelemetry -- Installing and configuring OpenTelemetry -- Exploring auto-generated telemetry -- Debugging -- Performance -- Summary -- Questions -- Chapter 3: The .NET Observability Ecosystem -- Technical requirements -- Configuring cloud storage -- Using instrumentations for popular libraries -- Instrumenting application -- Leveraging infrastructure -- Configuring secrets -- Configuring observability on Dapr -- Tracing -- Metrics -- Instrumenting serverless environments -- AWS Lambda -- Azure Functions -- Summary -- Questions -- Chapter 4: Low-Level Performance Analysis with Diagnostic Tools -- Technical requirements -- Investigating common performance problems -- Memory leaks -- Thread pool starvation -- Profiling -- Inefficient code -- Debugging locks -- Using diagnostics tools in production -- Continuous profiling -- The dotnet-monitor tool -- Summary -- Questions -- Part 2: Instrumenting .NET Applications…”

Tabla de Contenidos: “…Consuming XML SOAP Web Services -- Integrating with REST services -- Integrating with the cloud -- The Delphi Cloud API -- Moving the ToDo List app to Azure -- Using the AWS SDK for Delphi -- Summary -- Chapter 12: Building Mobile Backends -- Technical requirements -- Delphi and multi-tier architectures -- Working at a low level with WebBroker -- Generating a standalone project -- The Standalone WebBroker server -- Adding Apache support -- Adding a client application -- Building the web module -- Creating a new ToDo item -- Reading the data and other operations -- A client for the REST API -- Do-it-yourself with DataSnap -- Building the DataSnap server -- Implementing the DataSnap server functionality -- Building a DataSnap client -- Summary -- Chapter 13: Easy REST API Publishing with RAD Server -- Technical requirements -- RAD Server setup -- Building RAD Server resources -- The ToDo list in RAD Server -- Creating a client app for RAD Server -- Summary -- Chapter 14: App Deployment -- Technical requirements -- Deploying to app stores -- Apps artwork -- Apps orientation -- Publishing on the Apple iOS App Store -- Publishing your Android apps to the Google Play Store -- Monetizing with ads and in-app purchases -- Automate the development process -- App versioning -- Practical version control -- Sleeping well with unit testing -- Summary -- Chapter 15: The Road Ahead -- Review of what we have learned -- Trends in mobile development -- A single screen is not your limit -- Serverless backends and NoSQL databases -- The AI revolution -- Ideas for new and innovative apps for you to build -- Summary -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…1.13.6 Applying Cognition to Develop Health and Wellness -- 1.13.7 Welltok -- 1.13.8 CaféWell Concierge in Action -- 1.14 Advantages of Cognitive Computing -- 1.15 Features of Cognitive Computing -- 1.16 Limitations of Cognitive Computing -- 1.17 Conclusion -- References -- 2 Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges -- 2.1 Introduction -- 2.2 Cyber-Physical System Architecture -- 2.3 Human-in-the-Loop Cyber-Physical Systems (HiLCPS) -- 2.4 Machine Learning Applications in CPS -- 2.4.1 K-Nearest Neighbors (K-NN) in CPS -- 2.4.2 Support Vector Machine (SVM) in CPS -- 2.4.3 Random Forest (RF) in CPS -- 2.4.4 Decision Trees (DT) in CPS -- 2.4.5 Linear Regression (LR) in CPS -- 2.4.6 Multi-Layer Perceptron (MLP) in CPS -- 2.4.7 Naive Bayes (NB) in CPS -- 2.5 Use of IoT in CPS -- 2.6 Use of Big Data in CPS -- 2.7 Critical Analysis -- 2.8 Conclusion -- References -- 3 HemoSmart: A Non-Invasive Device and Mobile App for Anemia Detection -- 3.1 Introduction -- 3.1.1 Background -- 3.1.2 Research Objectives -- 3.1.3 Research Approach -- 3.1.4 Limitations -- 3.2 Literature Review -- 3.3 Methodology -- 3.3.1 Methodological Approach -- 3.3.2 Methods of Analysis -- 3.4 Results -- 3.4.1 Impact of Project Outcomes -- 3.4.2 Results Obtained During the Methodology -- 3.5 Discussion -- 3.6 Originality and Innovativeness of the Research -- 3.6.1 Validation and Quality Control of Methods -- 3.6.2 Cost-Effectiveness of the Research -- 3.7 Conclusion -- References -- 4 Advanced Cognitive Models and Algorithms -- 4.1 Introduction -- 4.2 Microsoft Azure Cognitive Model -- 4.2.1 AI Services Broaden in Microsoft Azure -- 4.3 IBM Watson Cognitive Analytics -- 4.3.1 Cognitive Computing -- 4.3.2 Defining Cognitive Computing via IBM Watson Interface -- 4.3.3 IBM Watson Analytics -- 4.4 Natural Language Modeling…”

Tabla de Contenidos: “…Development environment setup -- A.1 Setting up an IDE -- A.1.1 Visual Studio -- A.1.2 Visual Studio Code -- A.1.3 JetBrains Rider -- A.2 Setting up the dotnet command-line interface -- A.3 Setting up REST client in VS Code -- A.4 Docker and Kubernetes -- A.5 Azure CLI -- further reading -- index -- inside back cover…”

Tabla de Contenidos: “…4.1.1 Data at rest vs. data in motion -- 4.1.2 Plain secrets -- 4.1.3 Encrypting secrets -- 4.1.4 Creating the secret -- 4.2 Key management server -- 4.2.1 Kubernetes and KMS provider -- 4.2.2 Creating the secret -- Summary -- 5 HashiCorp Vault and Kubernetes -- 5.1 Managing application secrets using HashiCorp Vault -- 5.1.1 Deploying Vault to Kubernetes -- 5.1.2 Deploying an application to access Vault -- 5.2 Kubernetes auth method -- 5.2.1 Configuring Kubernetes auth -- 5.2.2 Testing and validating Kubernetes auth -- 5.3 The Vault Agent Injector -- 5.3.1 Configurations to support Kubernetes Vault Agent injection -- Summary -- 6 Accessing cloud secrets stores -- 6.1 The Container Storage Interface and Secrets Store CSI Driver -- 6.1.1 Container Storage Interface -- 6.1.2 Container Storage Interface and Kubernetes -- 6.1.3 CSI and secrets -- 6.1.4 Installing prerequisites -- 6.1.5 Installing the Secrets Store CSI Driver -- 6.1.6 Consuming HashiCorp Vault secrets via the Secrets Store CSI Driver and the HashiCorp Vault provider -- 6.2 Synchronizing CSI secrets as Kubernetes Secrets -- 6.2.1 Preparing the namespace -- 6.2.2 Defining a SecretProviderClass resource with secretObjects -- 6.3 Autorotating secrets to improve security posture -- 6.3.1 Preparing the namespace -- 6.3.2 Deploying the Pod with a secret mounted -- 6.3.3 Updating the secret -- 6.4 Consuming secrets from cloud secrets stores -- 6.4.1 Azure Key Vault -- 6.4.2 GCP Secret Manager -- 6.4.3 AWS Secrets Manager -- Summary -- Part 3. …”

Tabla de Contenidos: “…-- How Ansible manages networking devices -- How to enable network automation -- The available Ansible networking modules -- Connecting to network devices -- Environment variables for network devices -- Custom conditional statements for networking devices -- Summary -- Questions -- Further reading -- Chapter 11: Container and Cloud Management -- Technical requirements -- Automating Docker and Podman with Ansible -- Managing Docker -- Managing Podman -- Managing Kubernetes with Ansible -- Installing Ansible Kubernetes dependencies -- Listing Kubernetes namespaces with Ansible -- Creating a Kubernetes namespace with Ansible -- Creating a Kubernetes service with Ansible -- Exploring container-focused modules -- Automating with Amazon Web Services -- Installation -- Authentication -- Creating your first machine -- Complementing Google Cloud Platform with automation -- Installation -- Authentication -- Creating your first machine -- Seamless automation integration with Azure -- Installation -- Authentication -- Creating your first machine -- Using Ansible to orchestrate OpenStack -- Installation -- Authentication -- Creating your first machine -- Summary -- Questions -- Further reading -- Chapter 12: Troubleshooting and Testing Strategies -- Technical requirements -- Digging into playbook execution problems -- Using host facts to diagnose failures -- Testing with a playbook…”

Tabla de Contenidos: “…-- The bring your own device model -- The choose your own device model -- Key considerations -- Comparing options -- Protection and governance options -- Identity and access management -- Information protection -- Device configuration -- Application management -- Storage sync options -- OneDrive for Business -- Work Folders -- Alternative EUC delivery options -- Windows 365 Cloud PC and Azure Virtual Desktop -- Enabling virtual private networks -- Publishing applications via proxy -- End user behavior analytics -- Summary -- Chapter 8: Windows 11 Security -- Introducing security posture -- Zero trust -- Defense in depth -- Ensuring hardware security -- TPM -- Microsoft Pluton security processor -- Windows Defender System Guard -- Hypervisor-protected Code Integrity -- Ensuring that we operate system security -- Introducing Secure Boot and Trusted Boot -- Exploring the Windows Security app -- Using BitLocker for encryption -- Security baselines -- Ensuring user identity security -- Windows Hello for Business -- Microsoft Defender Credential Guard -- Summary -- Chapter 9: Advanced Configurations -- Virtual desktops -- On-prem virtual desktop best practices -- VDI configurations -- The Windows Configuration Designer -- Windows 11 Kiosk Mode -- Windows Autopilot -- The Set up School PCs application -- Device lockdown -- Windows Subsystem for Linux -- Group Policy Editor -- Remote Desktop Protocol -- Windows Hello and Windows Hello for Business -- Windows Firewall with Advanced Security -- Hyper-V -- Windows Task Scheduler -- Enabling BitLocker drive encryption -- Storage Spaces Direct -- Windows Defender Application Guard -- Summary -- Chapter 10: Windows 11 21H2 and 22H2 Changes (versus Windows 10) -- New Start menu and taskbar…”

Tabla de Contenidos: “…Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 A Look at IIoT: The Perspective of IoT Technology Applied in the Industrial Field -- 1.1 Introduction -- 1.2 Relationship Between Artificial Intelligence and IoT -- 1.2.1 AI Concept -- 1.2.2 IoT Concept -- 1.3 IoT Ecosystem -- 1.3.1 Industry 4.0 Concept -- 1.3.2 Industrial Internet of Things -- 1.4 Discussion -- 1.5 Trends -- 1.6 Conclusions -- References -- 2 Analysis on Security in IoT Devices- An Overview -- 2.1 Introduction -- 2.2 Security Properties -- 2.3 Security Challenges of IoT -- 2.3.1 Classification of Security Levels -- 2.3.1.1 At Information Level -- 2.3.1.2 At Access Level -- 2.3.1.3 At Functional Level -- 2.3.2 Classification of IoT Layered Architecture -- 2.3.2.1 Edge Layer -- 2.3.2.2 Access Layer -- 2.3.2.3 Application Layer -- 2.4 IoT Security Threats -- 2.4.1 Physical Device Threats -- 2.4.1.1 Device-Threats -- 2.4.1.2 Resource Led Constraints -- 2.4.2 Network-Oriented Communication Assaults -- 2.4.2.1 Structure -- 2.4.2.2 Protocol -- 2.4.3 Data-Based Threats -- 2.4.3.1 Confidentiality -- 2.4.3.2 Availability -- 2.4.3.3 Integrity -- 2.5 Assaults in IoT Devices -- 2.5.1 Devices of IoT -- 2.5.2 Gateways and Networking Devices -- 2.5.3 Cloud Servers and Control Devices -- 2.6 Security Analysis of IoT Platforms -- 2.6.1 ARTIK -- 2.6.2 GiGA IoT Makers -- 2.6.3 AWS IoT -- 2.6.4 Azure IoT -- 2.6.5 Google Cloud IoT (GC IoT) -- 2.7 Future Research Approaches -- 2.7.1 Blockchain Technology -- 2.7.2 5G Technology -- 2.7.3 Fog Computing (FC) and Edge Computing (EC) -- References -- 3 Smart Automation, Smart Energy, and Grid Management Challenges -- 3.1 Introduction -- 3.2 Internet of Things and Smart Grids -- 3.2.1 Smart Grid in IoT -- 3.2.2 IoT Application -- 3.2.3 Trials and Imminent Investigation Guidelines…”

Tabla de Contenidos: “…-- The promise of deep learning -- Building a better digit classifier -- Generating images -- Style transfer and image transformation -- Fake news and chatbots -- Sound composition -- The rules of the game -- Unique challenges of generative models -- Summary -- References -- Chapter 2: Setting Up a TensorFlow Lab -- Deep neural network development and TensorFlow -- TensorFlow 2.0 -- VSCode -- Docker: A lightweight virtualization solution -- Important Docker commands and syntax -- Connecting Docker containers with docker-compose -- Kubernetes: Robust management of multi-container applications -- Important Kubernetes commands -- Kustomize for configuration management -- Kubeflow: an end-to-end machine learning lab -- Running Kubeflow locally with MiniKF -- Installing Kubeflow in AWS -- Installing Kubeflow in GCP -- Installing Kubeflow on Azure -- Installing Kubeflow using Terraform -- A brief tour of Kubeflow's components -- Kubeflow notebook servers -- Kubeflow pipelines -- Using Kubeflow Katib to optimize model hyperparameters -- Summary -- References -- Chapter 3: Building Blocks of Deep Neural Networks -- Perceptrons - a brain in a function -- From tissues to TLUs -- From TLUs to tuning perceptrons -- Multi-layer perceptrons and backpropagation -- Backpropagation in practice -- The shortfalls of backpropagation -- Varieties of networks: Convolution and recursive -- Networks for seeing: Convolutional architectures -- Early CNNs -- AlexNet and other CNN innovations -- AlexNet architecture…”

Tabla de Contenidos: “…Boarding Pipe-and-Filter architectures -- Use cases for Pipe-and-Filter architecture -- Spring Batch -- Implementing pipes with Spring Batch -- Summary -- Chapter 8: Microservices -- Principles of microservices -- Size -- Autonomous -- Working well together -- Advantages -- Alignment to the single responsibility principle -- Continuous releases -- Independent scalability -- Increased adoption of new technologies -- Drawbacks -- Too many options -- Slow at the beginning -- Monitoring -- Transactions and eventual consistency -- Modeling microservices -- Speeding up -- Accelerating the development process -- Embracing tests -- Going to production -- Implementing microservices -- Dynamic configuration -- Implementing a configuration server -- Implementing a configuration client -- Service discovery and registration -- Introducing Eureka -- Implementing a Netflix Eureka service registry -- Implementing a service registry client -- Netflix Ribbon -- Edge services -- Introducing Zuul -- CAP theorem -- Consistency -- High availability -- Partition tolerance -- Circuit breaker -- Hystrix -- Summary -- Chapter 9: Serverless Architectures -- An introduction to serverless architecture -- Infrastructure and file storage -- Benefits and pitfalls -- Backend as a service -- Function as a service -- Concerns about serverless architectures -- Vendor lock-in -- Security -- Framework support -- Troubleshooting -- Examples and common use cases -- Adopting serverless architectures for SPA -- Implementing FaaS with Spring Cloud Functions -- Functions with Spring -- Coding the example -- Adapters -- AWS Lambda adapter -- Azure adapter -- Summary -- Chapter 10: Containerizing Your Applications -- Containers -- Basic concepts -- Containers and images -- Basic commands -- Running containers -- Working with containers -- Working with images -- Building your own images…”

Tabla de Contenidos: “…-- ESP-IDF versus the Arduino ESP32 core -- Understanding RTOS use cases and features -- FreeRTOS -- FreeRTOS example using the Arduino IDE -- PlatformIO - an alternative to the Arduino IDE -- Using PlatformIO to upload code to ESP32 -- Enterprise clouds -- AWS IoT services -- Azure IoT services -- A complete IoT embedded and software roadmap -- Roadmap for IoT embedded development…”

Tabla de Contenidos: “…Create and configure the AWS environment -- Microsoft Azure -- Digital Ocean -- Summary -- Chapter 11: Popular Node.js Web Frameworks -- Koa -- Meteor -- Sails -- Flatiron -- total.js -- LoopBack -- Hapi -- Kick starting Hapi.js -- Scaffolding the Hapi app -- Setting up a server -- Creating APIs -- Creating a configuration-based architecture -- Summary -- Chapter 12: Single Page Applications with Popular Frontend Frameworks -- Why use a frontend framework? …”

Tabla de Contenidos: “…Choosing a sustainable cloud service provider -- Microsoft Azure -- Google Cloud -- Amazon Web Services -- Alibaba Cloud -- Oracle -- Tencent Cloud -- IBM -- Cloud vendor report cards -- The power of alliances -- Summary -- Further reading -- Bibliography -- Chapter 5: Application and Data -- The world runs on software -- Transforming Enterprise Architecture to help achieve sustainability targets -- Turning a sustainability strategy into action with Enterprise Architecture -- Transforming business architecture with the UN's SDGs -- Optimizing application and data architectures in the cloud using best practice frameworks -- A pragmatic Enterprise Architecture framework for sustainability tracking -- Application portfolio management -- Application rationalization process -- Application assessment criteria -- TIME analysis -- Sustainable software development -- Choosing energy-efficient programming languages -- Sustainable SDLC -- Measuring your CO2 spend in the cloud -- Summary -- Further reading -- Bibliography -- Chapter 6: IT Hardware Management -- Understanding the impact of IT hardware equipment -- Product design and manufacturing -- Product lifetime expansion -- Energy consumption -- Finite resources and hazardous substances -- End-of-life management -- Circular IT hardware management -- Social responsibility - a key unlocking circular transition -- Making a business case for change -- ITAD - the rise of a new circular industry -- Services -- Global footprint and service availability -- Process -- Data sanitization -- Why and how does ITAD fit with the Electrolux sustainability strategy? …”

Tabla de Contenidos: “…11.2.1 Adopt an automated description tool -- 11.2.2 Describe endpoints and input parameters -- 11.2.3 Add XML documentation support -- 11.2.4 Work with Swashbuckle annotations -- 11.2.5 Describe responses -- 11.2.6 Add request and response samples -- 11.2.7 Group endpoints into sections -- 11.2.8 Exclude reserved endpoints -- 11.3 Filter-based Swagger customization -- 11.3.1 Emphasizing the authorization requirements -- 11.3.2 Changing the application title -- 11.3.3 Adding a warning text for passwords -- 11.3.4 Adding custom key/value pairs -- 11.4 Exercises -- 11.4.1 Use XML documentation -- 11.4.2 Use Swashbuckle annotations -- 11.4.3 Exclude some endpoints -- 11.4.4 Add a custom filter -- 11.4.5 Add custom key/value pairs -- Summary -- 12 Release and deployment -- 12.1 Prepublishing tasks -- 12.1.1 Considering security -- 12.1.2 Choosing a domain name -- 12.1.3 Setting up a CDN -- 12.1.4 Fine-tuning our APP -- 12.1.5 Understanding the .NET publishing modes -- 12.2 Creating a Windows VM server -- 12.2.1 Accessing Azure -- 12.2.2 Creating and setting up the Windows VM -- 12.2.3 Working with the VM public IP address -- 12.2.4 Creating an SSL/TLS origin certificate -- 12.2.5 Setting Cloudflare Encryption Mode to Full -- 12.3 Configuring the Windows VM server -- 12.3.1 Installing IIS -- 12.3.2 Installing the ASP.NET Core hosting bundle -- 12.3.3 Installing the Web Deploy component -- 12.3.4 Opening the 8172 TCP port -- 12.3.5 Configuring IIS -- 12.3.6 Creating the production database -- 12.3.7 Creating the appsettings.Production.json file -- 12.4 Publishing and deploying -- 12.4.1 Introducing Visual Studio publish profiles -- 12.4.2 Creating an Azure VM publish profile -- 12.4.3 Configuring the publish profile -- 12.4.4 Publishing, deployment, and testing -- 12.4.5 Final thoughts -- Summary -- appendix A. -- A.1 Installing SQL Server…”

Tabla de Contenidos: “…Deploying to Kubernetes -- A short peek into Azure's container offerings -- A short peek into Google's container offerings -- Summary -- Questions -- Further reading -- Assessment -- Other Books You May Enjoy -- Index…”