Designing APIs with Swagger and OpenAPI
Designing APIs with Swagger and OpenAPI is a comprehensive guide to designing and describing your first RESTful API using the most widely adopted standards. Following expert instruction from Swagger core contributor Josh Ponelat and API consultant Lukas Rosenstock, you'll spend each chapter progressively expanding the kind of APIs you'll want to build in the real world. You'll utilize OpenAPI and Swagger to help automate your workflow, and free up your time to work on more exciting features. Learn the syntax and structure of OpenAPI definitions, create and iterate on an API design with common tools, and release your API to the public. Create web APIs that customers and developers will love! Using Swagger, a collection of tools for defining and documenting REST APIs, you will build safe, controlled access to your software. And because Swagger implements the vendor-neutral OpenAPI specification, you'll be building to the same standards adopted by Google, Microsoft, and Amazon. Desi ...
Designing APIs with Swagger and OpenAPI is a comprehensive guide to designing and describing your first RESTful API using the most widely adopted standards. Following expert instruction from Swagger core contributor Josh Ponelat and API consultant Lukas Rosenstock, you'll spend each chapter progressively expanding the kind of APIs you'll want to build in the real world. You'll utilize OpenAPI and Swagger to help automate your workflow, and free up your time to work on more exciting features. Learn the syntax and structure of OpenAPI definitions, create and iterate on an API design with common tools, and release your API to the public. Create web APIs that customers and developers will love! Using Swagger, a collection of tools for defining and documenting REST APIs, you will build safe, controlled access to your software. And because Swagger implements the vendor-neutral OpenAPI specification, you'll be building to the same standards adopted by Google, Microsoft, and Amazon. Desi ...
Interpretable AI
Interpretable AI opens up the black box of your AI models. It teaches cutting-edge techniques and best practices that can make even complex AI systems interpretable. Each method is easy to implement with just Python and open source libraries. You'll learn to identify when you can utilize models that are inherently transparent, and how to mitigate opacity when your problem demands the power of a hard-to-interpret deep learning model. It's often difficult to explain how deep learning models work, even for the data scientists who create them. Improving transparency and interpretability in machine learning models minimizes errors, reduces unintended bias, and increases trust in the outcomes. This unique book contains techniques for looking inside "black box" models, designing accountable algorithms, and understanding the factors that cause skewed results. Interpretable AI teaches you to identify the patterns your model has learned and why it produces its results. As you read, you'll ...
Interpretable AI opens up the black box of your AI models. It teaches cutting-edge techniques and best practices that can make even complex AI systems interpretable. Each method is easy to implement with just Python and open source libraries. You'll learn to identify when you can utilize models that are inherently transparent, and how to mitigate opacity when your problem demands the power of a hard-to-interpret deep learning model. It's often difficult to explain how deep learning models work, even for the data scientists who create them. Improving transparency and interpretability in machine learning models minimizes errors, reduces unintended bias, and increases trust in the outcomes. This unique book contains techniques for looking inside "black box" models, designing accountable algorithms, and understanding the factors that cause skewed results. Interpretable AI teaches you to identify the patterns your model has learned and why it produces its results. As you read, you'll ...
Core Kubernetes
To build and operate reliable Kubernetes-based systems, you need to understand what's going on below the surface. Core Kubernetes is an in-depth guide to Kubernetes' internal workings written by Kubernetes contributors Chris Love and Jay Vyas. It's packed with experience-driven insights and advanced techniques you won't find anywhere else. You'll understand the unique security concerns of container-based applications, minimize costly unused capacity, and get pro tips for maximizing performance. Diagrams, labs, and hands-on examples ensure that the complex ideas are easy to understand and practical to apply. Real-world Kubernetes deployments are messy. Even small configuration errors or design problems can bring your system to its knees. In the real world, it pays to know how each component works so you can quickly troubleshoot, reset, and get on to the next challenge. This one-of-a-kind book includes the details, hard-won advice, and pro tips to keep your Kubernetes apps up and runn ...
To build and operate reliable Kubernetes-based systems, you need to understand what's going on below the surface. Core Kubernetes is an in-depth guide to Kubernetes' internal workings written by Kubernetes contributors Chris Love and Jay Vyas. It's packed with experience-driven insights and advanced techniques you won't find anywhere else. You'll understand the unique security concerns of container-based applications, minimize costly unused capacity, and get pro tips for maximizing performance. Diagrams, labs, and hands-on examples ensure that the complex ideas are easy to understand and practical to apply. Real-world Kubernetes deployments are messy. Even small configuration errors or design problems can bring your system to its knees. In the real world, it pays to know how each component works so you can quickly troubleshoot, reset, and get on to the next challenge. This one-of-a-kind book includes the details, hard-won advice, and pro tips to keep your Kubernetes apps up and runn ...
Microsoft Office 365
Office 365 is Microsoft's smart and simple answer to cloud computing. Using the various programs in Office 365, you can do all the tasks you're used to doing in your favorite Office applications - write documents, create presentations, check email, manage your calendar, crunch numbers, and more - and then share what you create in real time on a team site, design and publish a website, and even create and host live online meetings while you're traveling on the train, sitting in a coffee shop, or dialing in on your phone. This book shows you how you can use cloud computing - and �specifically, �Office 365 - to get more done, collaborate more easily, and work more �flexibly than you ever have before. From the necessary how-tos about �creating and administering your Office 365 account and working with the various Office 365 programs to sharing files with your team, creating a team site, using Office Web Apps, and holding online meetings, you'll discover how easy it is to work on ...
Office 365 is Microsoft's smart and simple answer to cloud computing. Using the various programs in Office 365, you can do all the tasks you're used to doing in your favorite Office applications - write documents, create presentations, check email, manage your calendar, crunch numbers, and more - and then share what you create in real time on a team site, design and publish a website, and even create and host live online meetings while you're traveling on the train, sitting in a coffee shop, or dialing in on your phone. This book shows you how you can use cloud computing - and �specifically, �Office 365 - to get more done, collaborate more easily, and work more �flexibly than you ever have before. From the necessary how-tos about �creating and administering your Office 365 account and working with the various Office 365 programs to sharing files with your team, creating a team site, using Office Web Apps, and holding online meetings, you'll discover how easy it is to work on ...
Introduction to Blender 3.0
Master the basics of 3D modeling for art, architecture, and design by exploring Blender 3.0. This book explains modeling, materials, lighting, painting, and more with Blender and other external tools. You will configure a 3D architectural environment and set up the workflow of an art and design project within Blender. You will use Blender's main tools - mesh modeling and sculpting - to create virtual objects and environments. And, you will explore building materials and light scenes, followed by drawing and virtual painting. Chapters cover rendering scenes and transforming them into 2D images or videos. You will learn to use Blender 3.0 for video editing as a compositor and video sequence editor (VSE or sequencer) with a wide range of effects available through the nodal system. On completing this book, you will have the knowledge to create art, design, and architecture with this 3D modeler. ...
Master the basics of 3D modeling for art, architecture, and design by exploring Blender 3.0. This book explains modeling, materials, lighting, painting, and more with Blender and other external tools. You will configure a 3D architectural environment and set up the workflow of an art and design project within Blender. You will use Blender's main tools - mesh modeling and sculpting - to create virtual objects and environments. And, you will explore building materials and light scenes, followed by drawing and virtual painting. Chapters cover rendering scenes and transforming them into 2D images or videos. You will learn to use Blender 3.0 for video editing as a compositor and video sequence editor (VSE or sequencer) with a wide range of effects available through the nodal system. On completing this book, you will have the knowledge to create art, design, and architecture with this 3D modeler. ...
The Design and Implementation of the Anykernel and Rump Kernels
The mission of the first edition of this book was to introduce the anykernel and rump kernels and motivate their existence. Additionally, we explored the characteristics of the technology through various experiments. The paramount, often criminally overlooked experiment was the one hiding in plain sight: is it possible to construct the system in a sustainable, real-world compatible fashion. That paramount experiment was shown to be a success, and that result has not changed since the original publication, only strengthened. The core technology is still almost identical to the one described in the original book. This new edition has been written to account for the practical experiences from new use cases, many of which were proposed in the first edition, but which have since become reality. To start off, we will look at operating systems in general: what one is, how they developed throughout history, where they are now, what the problem is, and why the time is now ripe for change. ...
The mission of the first edition of this book was to introduce the anykernel and rump kernels and motivate their existence. Additionally, we explored the characteristics of the technology through various experiments. The paramount, often criminally overlooked experiment was the one hiding in plain sight: is it possible to construct the system in a sustainable, real-world compatible fashion. That paramount experiment was shown to be a success, and that result has not changed since the original publication, only strengthened. The core technology is still almost identical to the one described in the original book. This new edition has been written to account for the practical experiences from new use cases, many of which were proposed in the first edition, but which have since become reality. To start off, we will look at operating systems in general: what one is, how they developed throughout history, where they are now, what the problem is, and why the time is now ripe for change. ...
Building Real-World Cloud Apps with Windows Azure
This book walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices. Developers who are curious about developing for the cloud, considering a move to the cloud, or are new to cloud development will find here a concise overview of the most important concepts and practices they need to know. The concepts are illustrated with concrete examples, and each chapter links to other resources for more in-depth information. The examples and the links to additional resources are for Microsoft frameworks and services, but the principles illustrated apply to other web development frameworks and cloud environments as well. Developers who are already developing for the cloud may find ideas here that will help make them more successful. Each chapter in the series can be read independently, so you can pick and choose topics that you're interested in. ...
This book walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices. Developers who are curious about developing for the cloud, considering a move to the cloud, or are new to cloud development will find here a concise overview of the most important concepts and practices they need to know. The concepts are illustrated with concrete examples, and each chapter links to other resources for more in-depth information. The examples and the links to additional resources are for Microsoft frameworks and services, but the principles illustrated apply to other web development frameworks and cloud environments as well. Developers who are already developing for the cloud may find ideas here that will help make them more successful. Each chapter in the series can be read independently, so you can pick and choose topics that you're interested in. ...
Designing Machine Learning Systems
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision-such as how to process and create training data, which features to use, how often to retrain models, and what to monitor-in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. This book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem; Automating the process for continually developing, evaluating, deploying ...
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision-such as how to process and create training data, which features to use, how often to retrain models, and what to monitor-in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. This book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem; Automating the process for continually developing, evaluating, deploying ...
SQL Server Advanced Troubleshooting and Performance Tuning
This practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server. Database engineers, including database developers and administrators, will learn how to identify performance issues, troubleshoot the system in a holistic fashion, and properly prioritize tuning efforts to attain the best system performance possible. Author Dmitri Korotkevitch, Microsoft Data Platform MVP and Microsoft Certified Master (MCM), explains the interdependencies between SQL Server database components. You'll learn how to quickly diagnose your system and discover the root cause of any issue. Techniques in this book are compatible with all versions of SQL Server and cover both on-premises and cloud-based SQL Server installations. Discover how performance issues present themselves in SQL Server; Learn about SQL Server diagnostic tools, methods, and technologies; Perform health checks on SQL Server installations; Learn the dependencies be ...
This practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server. Database engineers, including database developers and administrators, will learn how to identify performance issues, troubleshoot the system in a holistic fashion, and properly prioritize tuning efforts to attain the best system performance possible. Author Dmitri Korotkevitch, Microsoft Data Platform MVP and Microsoft Certified Master (MCM), explains the interdependencies between SQL Server database components. You'll learn how to quickly diagnose your system and discover the root cause of any issue. Techniques in this book are compatible with all versions of SQL Server and cover both on-premises and cloud-based SQL Server installations. Discover how performance issues present themselves in SQL Server; Learn about SQL Server diagnostic tools, methods, and technologies; Perform health checks on SQL Server installations; Learn the dependencies be ...
Practical Simulations for Machine Learning
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. You'll learn how to: Design an approach for solving ML and AI problems using simulations with the Unity engine; Use a game engine to synthesize images for use as training data; Create simulation environments designed for training deep reinforcement learning and imitation learning models; Us ...
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. You'll learn how to: Design an approach for solving ML and AI problems using simulations with the Unity engine; Use a game engine to synthesize images for use as training data; Create simulation environments designed for training deep reinforcement learning and imitation learning models; Us ...