Tabla de Contenidos: “…Machine generated contents note: Preface List of Abbreviations 1 Introduction 1.1 Forward Problem 1.2 Inverse Problem 1.3 Issues in Inverse Problem Solving 1.4 Linear, Nonlinear and Linearized Problems 2 Signal and System as Vectors 2.1 Vector Space 2.1.1 Vector Space and Subspace 2.1.2 Basis, Norm and Inner Product 2.1.3 Hilbert Space 2.2 Vector Calculus 2.2.1 Gradient 2.2.2 Divergence 2.2.3 Curl 2.2.4 Curve 2.2.5 Curvature 2.3 Taylor's Expansion 2.4 Linear System of Equations 2.4.1 Linear System and Transform 2.4.2 Vector Space of Matrix 2.4.3 Least Square Solution 2.4.4 Singular Value Decomposition (SVD) 2.4.5 Pseudo-inverse 2.5 Fourier Transform 2.5.1 Series Expansion 2.5.2 Fourier Transform 2.5.3 Discrete Fourier Transform (DFT) 2.5.4 Fast Fourier Transform (FFT) 2.5.5 Two-dimensional Fourier Transform References 3 Basics for Forward Problem 3.1 Understanding PDE using Images as Examples 3.2 Heat Equation 3.2.1 Formulation of Heat Equation 3.2.2 One-dimensional Heat Equation 3.2.3 Two-dimensional Heat Equation and Isotropic Diffusion 3.2.4 Boundary Conditions 3.3 Wave Equation 3.4 Laplace and Poisson Equations 3.4.1 Boundary Value Problem 3.4.2 Laplace Equation in a Circle 3.4.3 Laplace Equation in Three-dimensional Domain 3.4.4 Representation Formula for Poisson Equation References 4 Analysis for Inverse Problem 4.1 Examples of Inverse Problems in Medical Imaging 4.1.1 Electrical Property Imaging 4.1.2 Mechanical Property Imaging 4.1.3 Image Restoration 4.2 Basic Analysis 4.2.1 Sobolev Space 4.2.2 Some Important Estimates 4.2.3 Helmholtz Decomposition 4.3 Variational Problems 4.3.1 Lax-Milgram Theorem 4.3.2 Ritz Approach 4.3.3 Euler-Lagrange Equations 4.3.4 Regularity Theory and Asymptotic Analysis 4.4 Tikhonov Regularization and Spectral Analysis 4.4.1 Overview of Tikhonov Regularization 4.4.2 Bounded Linear Operators in Banach Space 4.4.3 Regularization in Hilbert Space or Banach Space 4.5 Basics of Real Analysis 4.5.1 Riemann Integrable 4.5.2 Measure Space 4.5.3 Lebesgue Measurable Function 4.5.4 Pointwise, Uniform, Norm Convergence and Convergence in Measure 4.5.5 Differentiation Theory References 5 Numerical Methods 5.1 Iterative Method for Nonlinear Problem 5.2 Numerical Computation of One-dimensional Heat equation 5.2.1 Explicit Scheme 5.2.2 Implicit Scheme 5.2.3 Crank-Nicolson Method 5.3 Numerical Solution of Linear System of Equations 5.3.1 Direct Method using LU Factorization 5.3.2 Iterative Method using Matrix Splitting 5.3.3 Iterative Method using Steepest Descent Minimization 5.3.4 Conjugate Gradient (CG) Method 5.4 Finite Difference Method (FDM) 5.4.1 Poisson Equation 5.4.2 Elliptic Equation 5.5 Finite Element Method (FEM) 5.5.1 One-dimensional Model 5.5.2 Two-dimensional Model 5.5.3 Numerical Examples References 6 CT, MRI and Image Processing Problems 6.1 X-ray CT 6.1.1 Inverse Problem 6.1.2 Basic Principle and Nonlinear Effects 6.1.3 Inverse Radon Transform 6.1.4 Artifacts in CT 6.2 MRI 6.2.1 Basic Principle 6.2.2 K-space Data 6.2.3 Image Reconstruction 6.3 Image Restoration 6.3.1 Role of p in (6.35) 6.3.2 Total Variation Restoration 6.3.3 Anisotropic Edge-preserving Diffusion 6.3.4 Sparse Sensing 6.4 Segmentation 6.4.1 Active Contour Method 6.4.2 Level Set Method 6.4.3 Motion Tracking for Echocardiography References 7 Electrical Impedance Tomography 7.1 Introduction 7.2 Measurement Method and Data 7.2.1 Conductivity and Resistance 7.2.2 Permittivity and Capacitance 7.2.3 Phasor and Impedance 7.2.4 Admittivity and Trans-impedance 7.2.5 Electrode Contact Impedance 7.2.6 EIT System 7.2.7 Data Collection Protocol and Data Set 7.2.8 Linearity between Current and Voltage 7.3 Representation of Physical Phenomena 7.3.1 Derivation of Elliptic PDE 7.3.2 Elliptic PDE for Four-electrode Method 7.3.3 Elliptic PDE for Two-electrode Method 7.3.4 Min-max Property of Complex Potential 7.4 Forward Problem and Model 7.4.1 Continuous Neumann-to-Dirichlet Data 7.4.2 Discrete Neumann-to-Dirichlet Data 7.4.3 Nonlinearity between Admittivity and Voltage 7.5 Uniqueness Theory and Direct Reconstruction Method 7.5.1 Calderon's Approach 7.5.2 Uniqueness and Three-dimensional Reconstruction: Infinite Measurements 7.5.3 Nachmann's D-bar Method in Two Dimension 7.6 Backprojection Algorithm 7.7 Sensitivity and Sensitivity Matrix 7.7.1 Perturbation and Sensitivity 7.7.2 Sensitivity Matrix 7.7.3 Linearization 7.7.4 Quality of Sensitivity Matrix 7.8 Inverse Problem of EIT 7.8.1 Inverse Problem of RC Circuit 7.8.2 Formulation of EIT Inverse Problem 7.8.3 Ill-posedness of EIT Inverse Problem 7.9 Static Imaging 7.9.1 Iterative Data Fitting Method 7.9.2 Static Imaging using 4-channel EIT System 7.9.3 Regularization 7.9.4 Technical Difficulty of Static Imaging 7.10 Time-difference Imaging 7.10.1 Data Sets for Time-difference Imaging 7.10.2 Equivalent Homogeneous Admittivity 7.10.3 Linear Time-difference Algorithm using Sensitivity Matrix 7.10.4 Interpretation of Time-difference Image 7.11 Frequency-difference Imaging 7.11.1 Data Sets for Frequency-difference Imaging 7.11.2 Simple Difference Ft,ω2− Ft,ω1 7.11.3 Weighted Difference Ft,ω2− [alpha] Ft,ω1 7.11.4 Linear Frequency-difference Algorithm using Sensitivity Matrix 7.11.5 Interpretation of Frequency-difference Image References 8 Anomaly Estimation and Layer Potential Techniques 8.1 Harmonic Analysis and Potential Theory 8.1.1 Layer Potentials and Boundary Value Problems for Laplace Equation 8.1.2 Regularity for Solution of Elliptic Equation along Boundary of Inhomogeneity 8.2 Anomaly Estimation using EIT 8.2.1 Size Estimation Method 8.2.2 Location Search Method 8.3 Anomaly Estimation using Planar Probe 8.3.1 Mathematical Formulation 8.3.2 Representation Formula References 9 Magnetic Resonance Electrical Impedance Tomography 9.1 Data Collection using MRI 9.1.1 Measurement of Bz 9.1.2 Noise in Measured Bz Data 9.1.3 Measurement of B = (Bx,By,Bz) 9.2 Forward Problem and Model Construction 9.2.1 Relation between J , Bz and σ 9.2.2 Three Key Observations 9.2.3 Data Bz Traces σ∇u © e z-directional Change of σ 9.2.4 Mathematical Analysis toward MREIT Model 9.3 Inverse Problem Formulation using B or J 9.4 Inverse Problem Formulation using Bz 9.4.1 Model with Two Linearly Independent Currents 9.4.2 Uniqueness 9.4.3 Defected Bz Data in a Local Region 9.5 Image Reconstruction Algorithm 9.5.1 J-substitution Algorithm 9.5.2 Harmonic Bz Algorithm 9.5.3 Gradient Bz Decomposition and Variational Bz Algorithm 9.5.4 Local Harmonic Bz Algorithm 9.5.5 Sensitivity Matrix Based Algorithm 9.5.6 Anisotropic Conductivity Reconstruction Algorithm 9.5.7 Other Algorithms 9.6 Validation and Interpretation 9.6.1 Image Reconstruction Procedure using Harmonic Bz Algorithm 9.6.2 Conductivity Phantom Imaging 9.6.3 Animal Imaging 9.6.4 Human Imaging 9.7 Applications References 10 Magnetic Resonance Elastography 10.1 Representation of Physical Phenomena 10.1.1 Overview of Hooke's Law 10.1.2 Strain Tensor in Lagrangian Coordinates 10.2 Forward Problem and Model 10.3 Inverse Problem in MRE 10.4 Reconstruction Algorithms 10.4.1 Reconstruction of [mu] with the Assumption of Local Homogeneity 10.4.2 Reconstruction of [mu] without the Assumption of Local Homogeneity 10.4.3 Anisotropic Elastic Moduli Reconstruction 10.5 Technical Issues in MRE References…”

Tabla de Contenidos: “…Chapter 6 Software Composition Analysis in the Automotive Industry -- 6.1 Software Composition Analysis: Benefits and Usage Scenarios -- 6.2 Problem Statement: Analysis of Automotive Software Open‐Source Software Risks -- 6.2.1 Analysis Results -- 6.2.1.1 zlib -- 6.2.1.2 libpng -- 6.2.1.3 OpenSSL -- 6.2.1.4 curl -- 6.2.1.5 Linux Kernel -- 6.2.2 Discussion -- 6.3 Solution: Countermeasures on Process and Technical Levels -- 6.3.1 Fully Inventory Open‐Source Software -- 6.3.2 Use Appropriate Software Composition Analysis Approaches -- 6.3.3 Map Open‐Source Software to Known Security Vulnerabilities -- 6.3.4 Identify License, Quality, and Security Risks -- 6.3.5 Create and Enforce Open‐Source Software Risk Policies -- 6.3.6 Continuously Monitor for New Security Threats and Vulnerabilities -- 6.3.7 Define and Follow Processes for Addressing Vulnerabilities in Open‐Source Software -- 6.3.8 How to Get Started -- 6.4 Chapter Summary -- References -- Chapter 7 Overview of Automotive Security Testing Approaches -- 7.1 Practical Security Testing -- 7.1.1 Security Functional Testing -- 7.1.2 Vulnerability Scanning -- 7.1.3 Fuzz Testing -- 7.1.4 Penetration Testing -- 7.2 Frameworks for Security Testing -- 7.3 Focus on Fuzz Testing -- 7.3.1 Fuzz Engine -- 7.3.2 Injector -- 7.3.3 Monitor -- 7.4 Chapter Summary -- References -- Chapter 8 Automating Fuzz Testing of In‐Vehicle Systems by Integrating with Automotive Test Tools -- 8.1 Overview of HIL Systems -- 8.2 Problem Statement: SUT Requires External Input and Monitoring -- 8.3 Solution: Integrating Fuzz Testing Tools with HIL Systems -- 8.3.1 White‐Box Approach for Fuzz Testing Using HIL System -- 8.3.1.1 Example Test Setup Using an Engine ECU -- 8.3.1.2 Fuzz Testing Setup for the Engine ECU -- 8.3.1.3 Fuzz Testing Setup Considerations -- 8.3.2 Black‐Box Approach for Fuzz Testing Using HIL System…”

Tabla de Contenidos: “…Cover -- Preface -- Acknowledgements -- Brief Contents -- Contents -- Introduction -- Frequency Spectrum of Electromagnetic Waves -- Chapter 1: Mathematical Preliminaries -- 1.1 Fundamentals of Scalars and Vectors -- 1.2 Coordinate Systems -- 1.2.1 Cartesian Coordinate System -- 1.2.2 Cylindrical Coordinate System -- 1.2.3 Spherical Coordinate System -- 1.3 Del Operator -- 1.4 Gradiant of a Scalar V -- 1.5 Divergence of a Vector A -- 1.6 Curl of a Vector A -- 1.6.1 Vector Identities -- 1.7 Laplacian Operator -- 1.8 Dirac Delta -- 1.9 Decibel and Neper Concepts -- 1.10 Complex Numbers -- 1.10.1 Properties of Complex Numbers -- 1.11 Logarithmic Series and Identities -- 1.12 Quadratic Equations -- 1.13 Cubic Equations -- 1.14 Determinants -- 1.14.1 The Minor of Determinant -- 1.14.2 Properties of Determinants -- 1.15 Matrices -- 1.15.1 Applications of Matrices -- 1.15.2 Types of Matrices -- 1.15.3 Properties of Matrices -- 1.16 Factorial -- 1.17 Permulations -- 1.18 Combinations -- 1.19 Basic Series -- 1.20 Exponential Series -- 1.21 Sine and Cosine Series -- 1.22 Sinh and Cosh Series -- 1.23 Hyperbolic Functions -- 1.24 Sine, Cosine, Tan and Cot Functions -- 1.25 Some Special Functions -- 1.25.1 Gamma Function -- 1.25.2 Beta Function -- 1.25.3 Error Function -- 1.25.4 Bessel Function -- 1.25.5 Fresnel Integral -- 1.25.6 Sine Integral -- 1.25.7 Cosine Integral -- 1.25.8 Exponential Integral -- 1.25.9 Logarithmic Integral -- 1.26 Partial Derivative -- 1.27 Some Differentiation Formulae -- 1.28 Some Useful Integration Formulae -- 1.29 Radian and Steradian -- 1.30 Integral Theorems -- 1.30.1 Stokes' Theorem -- 1.30.2 Divergence Theorem -- Points to Remember -- Solved Problems -- Objective Questions -- Exercise Problem -- Chapter 2: Maxwell's Equations and Electromagnetic Waves -- 2.1 Introduction…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface to Second Edition -- Preface to First Edition -- Introduction to Second Edition -- Chapter 1 Introduction -- Chapter 2 Basics of Thermoforming and Thermoplastics -- 2.1 THERMOFORMING METHODS -- 2.2 POSITIVE FORMING -- 2.3 NEGATIVE FORMING -- 2.4 ADVANTAGES AND DISADVANTAGES OF THERMOFORMING -- 2.5 THERMOFORMING MACHINES -- 2.5.1 Sheet-Processing Machines -- 2.5.2 Roll-Fed Machines -- 2.5.3 Skin and Blister Machines -- 2.5.4 Forming, Filling, and Sealing Machines -- 2.6 SEMIFINISHED THERMOPLASTIC PRODUCTS -- 2.6.1 Free Shrinkage -- 2.6.2 Mold Shrinkage -- Chapter 3 Production of Semifinished Products, Extrusion, and Coextrusion -- 3.1 EXTRUSION -- 3.1.1 No Thermoforming without Extrusion -- 3.1.2 Description: Volumetric/Gravimetric -- 3.1.3 Feed Section -- 3.1.4 Transition or Compression Section -- 3.1.5 Metering Section -- 3.1.6 Venting Section -- 3.1.7 Second Transition Section -- 3.1.8 Second Metering Section -- 3.1.9 Mixing Section -- 3.1.10 Screw Materials and Tolerances -- 3.1.11 The Barrel -- 3.1.12 The Vent -- 3.1.13 The Drive -- 3.1.14 Breaker Plate and Screen Pack -- 3.1.15 The Die -- 3.1.16 Static and Dynamic Mixers -- 3.1.17 Gear Pumps -- 3.1.18 Granulation and Material Feed Issues -- 3.1.19 The Output (Flow) of an Extruder -- 3.1.20 Sheet Roll Stack and Take-Away Equipment -- 3.1.21 The Polishing Roll Stack -- 3.1.22 Sideways Curling -- 3.1.23 Effects of a Rolling Bank -- 3.1.24 The Slitting Unit and Draw Rolls -- 3.1.25 The Finishing Section -- 3.1.26 Typical Barrel Temperature Profile for Polystyrene -- 3.1.27 Effect of Regrind on Extruder Output -- 3.2 COEXTRUSION -- Chapter 4 Introduction to Technical Parts -- Chapter 5 Antenna Radome Manufacturing -- 5.1 WEATHER-RESISTANT HIGH-IMPACT POLYSTYRENE -- 5.2 THE EFFECT OF UV LIGHT -- 5.3 WETTING RESISTANCE…”

“…Hackles bristle discreetly, lips curl ever-so politely, and every breach of good taste is carefully recorded, as social aspirant Lily Bart launches a desperate bid for a place on the city's elite social register…”
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Tabla de Contenidos: “…10.3.1 Defining API requests and responses -- 10.3.2 From user stories to CRUD design -- 10.4 API operations for PetSitter -- 10.4.1 User operations -- 10.4.2 Job operations -- 10.4.3 JobApplication operations -- Summary -- 11 Building a change workflow around API design-first -- 11.1 The problem -- 11.2 Communicating and reacting to change -- 11.3 GitHub as our workflow engine -- 11.3.1 A single source of truth -- 11.3.2 Suggesting a change -- 11.3.3 Agreeing on a change -- 11.3.4 A way of viewing changes (based on an older version) -- 11.4 Tying the GitHub workflow together -- 11.4.1 Setting up GitHub and the source of truth -- 11.4.2 Steps in our GitHub workflow -- 11.5 A practical look at the workflow -- 11.5.1 Creating and suggesting DELETE /jobs/{id} -- 11.5.2 Reviewing and accepting changes -- 11.5.3 Comparing older branches to the latest -- 11.5.4 What we've done -- Summary -- 12 Implementing frontend code and reacting to changes -- 12.1 The problem -- 12.2 Setting up Prism -- 12.2.1 Installing Prism -- 12.2.2 Verifying that Prism works -- 12.3 Building a frontend based on a mock server -- 12.3.1 Adding multiple examples into your OpenAPI definition -- 12.3.2 Using examples in Prism -- 12.4 Identifying a missing API operation -- 12.4.1 Due diligence for adding the operation -- 12.4.2 Designing the new operation -- 12.4.3 Choosing which mock data response to get from Prism -- 12.4.4 Formalizing and suggesting the change -- 12.4.5 Extra curl examples -- Summary -- 13 Building a backend with Node.js and Swagger Codegen -- 13.1 The problem -- 13.2 Introducing Swagger Codegen -- 13.2.1 Client code generation -- 13.2.2 Server code generation -- 13.2.3 Swagger Generator -- 13.3 The backend structure -- 13.3.1 Generating the backend -- 13.3.2 Investigating the structure -- 13.3.3 OpenAPI changes -- 13.4 Updating OpenAPI for the backend…”

“…Code snippets are written mostly in bash using cURL, so they?re easily translatable to other languages…”

“…The combination of Linux, Apache, MySQL, and PHP is popular because of interaction, flexibility, customization, and-most importantly-the cost effectiveness of its componentsHelps LAMP professionals take their skills to the next level with in-depth discussions of OOP; extensions of PHP such as PEAR, GD, XML, and CURL; improving site security; and advanced tools available to the coderThose proficient in other languages such as Java, C++, Perl and ASP will find this guide invaluable when transitioning to the LAMP environmentThe Web site includes sample scripts created in the c…”

Tabla de Contenidos: “…B.13 Background() -- B.14 BackgroundDetect() -- B.15 Bridge() -- B.16 Busy() -- B.17 ChangeMonitor() -- B.18 ChanIsAvail() -- B.19 ChannelRedirect() -- B.20 ChanSpy() -- B.21 CheckGroup() -- B.22 ClearHash() -- B.23 Congestion() -- B.24 ContinueWhile() -- B.25 ControlPlayback() -- B.26 Curl() -- B.27 Cut() -- B.28 DAHDIBarge() -- B.29 DAHDIRAS() -- B.30 DAHDIScan() -- B.31 DAHDISendKeypadFacility() -- B.32 DateTime() -- B.33 DBdel() -- B.34 DBdeltree() -- B.35 DBget() -- B.36 DBput() -- B.37 DeadAGI() -- B.38 Dial() -- B.39 Dictate() -- B.40 DigitTimeout() -- B.41 Directory() -- B.42 DISA() -- B.43 DumpChan() -- B.44 DUNDiLookup() -- B.45 EAGI() -- B.46 Echo() -- B.47 EndWhile() -- B.48 EnumLookup() -- B.49 Eval() -- B.50 Exec() -- B.51 ExecIf() -- B.52 ExecIfTime() -- B.53 ExitWhile() -- B.54 ExtenSpy() -- B.55 ExternalIVR() -- B.56 FastAGI() -- B.57 Festival() -- B.58 Flash() -- B.59 FollowMe() -- B.60 ForkCDR() -- B.61 GetCPEID() -- B.62 GetGroupCount() -- B.63 GetGroupMatchCount() -- B.64 Gosub() -- B.65 GosubIf() -- B.66 Goto() -- B.67 GotoIf() -- B.68 GotoIfTime() -- B.69 Hangup() -- B.70 HasNewVoicemail() -- B.71 HasVoicemail() -- B.72 IAX2Provision() -- B.73 ICES() -- B.74 ImportVar() -- B.75 Incomplete() -- B.76 JabberSend() -- B.77 JabberStatus() -- B.78 KeepAlive() -- B.79 Log() -- B.80 LookupBlacklist() -- B.81 LookupCIDName() -- B.82 Macro() -- B.83 MacroExclusive() -- B.84 MacroExit() -- B.85 MacroIf() -- B.86 mailboxExists() -- B.87 Math() -- B.88 MD5() -- B.89 MD5Check() -- B.90 MeetMe() -- B.91 MeetMeAdmin() -- B.92 MeetMeChannelAdmin() -- B.93 MeetMeCount() -- B.94 Milliwatt() -- B.95 MinivmAccMess() -- B.96 MinivmDelete() -- B.97 MinivmGreet() -- B.98 MinivmNotify() -- B.99 MinivmRecord() -- B.100 MixMonitor() -- B.101 Monitor() -- B.102 Morsecode() -- B.103 MP3Player() -- B.104 MSet() -- B.105 MusicOnHold() -- B.106 NBScat()…”

“…The Mote of Mark appears to have first attracted the attention of antiquaries in the late eighteenth century, and first assumed national importance with Alexander Curle's major work in 1913. After the interruption of the First World War, the site was left largely alone until it was re-excavated in the 1970s. …”

“…Imagine being able to add a luscious mane of long, flowing hair to your Maya-created action heroine--and then being able to braid it, curl it, and style it to your heat's desire. With Maya 6 and this task-based guide, you can do that and a lot more on the way to creating ever more sophisticated 3D worlds with Alias' newly updated modeling and animation software. …”

“…He presents poems of extraordinary rigour and riddles of wit that are solved by "lifetime" insights - a dialectical poetry that still observes a phenomenological toehold but transcends the limits of locality in recognizing the curled-up-but-everywhere world of media and markets - á la Fredric Jameson. …”

“…Learn to build greedy algorithms, then convert them to microservices and finally containerized them and deploy to AWS with App Runner. 00:00 Intro 00:38 Github Code Repo of Traveling Salesman Problem 02:00 Overview of Cities in Problem 04:50 Launching Github Codespaces to work on problem 06:30 Cleaning up the code and fixing Makefile and Lint 09:30 Running simulations and minimizing the cost 14:00 Pinning version numbers in requirements.txt 16:00 Setup Github Actions 19:00 Fixing Python Black error 21:32 Create Github Actions Status Badge 25:00 Creating FastAPI Microservice 28:00 Building Greedy Coin Change Microservice 36:00 Deploying Python FastAPI Microservice to AWS with App Runner 46:00 Theory of logic to containerization 51:00 Building Containerized C# Service in AWS Cloud9 and App Runner 01:03:44 Testing via Curl in AWS CloudShell 01:06:00 Building Containerized FastAPI Service in AWS Cloud9 and App Runner 01:11:03 Pushing to Amazon ECR 01:14:00 Testing via FastAPI App Runner API with Swagger UI…”

“…Furthermore, a refresher chapter on vector algebra, including gradient, divergence and curl operation is included. Throughout the book ample examples of employing the derived theory are given and all chapters are concluded with problems, giving the reader the opportunity to test his/her acquired knowledge. …”

“…You will: Discover interface and feature changes in FileMaker 17-19 Create and maintain healthy files Plan and create custom tables, fields, relationships Write calculations using built-in and custom functions Build recursive and repeating formulas Discover advanced features using cURL, JSON, SQL, ODBC and FM URL Manipulate data files in the computer directory with scripts Deploy solutions to a server and share with desktop, iOS and web clients …”

“…You'll learn the main components of Kubernetes, bootstrap a cluster, investigate which components run where, explore the API, use basic curl commands to interact with the system, use the Kubernetes client kubectl, and see a demo of the custom resource definition, the API used to extend Kubernetes. …”