Programowanie
Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger
Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs.You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code.This Learning Path includes content from the following Packt products:• Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta• Hands-On Data Structures and Algorithms with Rust by Claus Matzinger
Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger
Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs.You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code.This Learning Path includes content from the following Packt products:• Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta• Hands-On Data Structures and Algorithms with Rust by Claus Matzinger
Hafsa Asad, Vishwesh Ravi Shrimali, Nikhil Singh
Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities.Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods.By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems.
Mercury Learning and Information, Jean E. Tardy
This book delves into Generative AI and the potential for AI to achieve consciousness. It covers historical and modern perspectives on AI, from ancient myths to the Turing Test and current advancements. The book explores the theoretical and practical aspects of creating a conscious AI, including specifications for synthetic consciousness and integrating AI with human cognition. It questions whether generative AI can meet traditional criteria of consciousness.The journey begins with understanding consciousness, tracing AI's origins, and clarifying human cognition through AI. It examines early AI failures, fears of success, and the engineering of consciousness. The book also explores archaic AI representations, the intelligence of automatons, and the relevance of the Turing Test, concluding with strategies for achieving synthetic consciousness.These concepts are crucial for advancing AI towards synthetic consciousness. This book transitions readers from historical perspectives to modern AI challenges, blending theory with practical insights. It is an essential resource for understanding the future of AI and its potential to achieve consciousness.
Gururajan Govindan, Shubhangi Hora, Konstantin Palagachev
Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business.The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you’ll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data.By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst.
The Data Science Workshop. A New, Interactive Approach to Learning Data Science
Anthony So, Thomas V. Joseph, Robert Thas...
You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results.Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book.Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.
Anthony So, Thomas V. Joseph, Robert Thas...
Where there’s data, there’s insight. With so much data being generated, there is immense scope to extract meaningful information that’ll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you’ll open new career paths and opportunities.The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You’ll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you’ll get hands-on with approaches such as grid search and random search.Next, you’ll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You’ll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch.By the end of this book, you’ll have the skills to start working on data science projects confidently. By the end of this book, you’ll have the skills to start working on data science projects confidently.
Mario Döbler, Tim Großmann
Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data?The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities.Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you’ll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You’ll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you’ve ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you’ll use the Bokeh library to create dynamic visualizations that can be integrated into any web page.By the end of this workshop, you’ll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.
Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar
While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined.If you’re a beginner, then The Data Wrangling Workshop will help to break down the process for you. You’ll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques.This book starts by showing you how to work with data structures using Python. Through examples and activities, you’ll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you’ll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool.By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources.
Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat
New experiences can be intimidating, but not this one! This beginner’s guide to deep learning is here to help you explore deep learning from scratch with Keras, and be on your way to training your first ever neural networks.What sets Keras apart from other deep learning frameworks is its simplicity. With over two hundred thousand users, Keras has a stronger adoption in industry and the research community than any other deep learning framework.The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine learning using the scikit-learn package. After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. As you advance, you'll learn how to build multi-layer neural networks and recognize when your model is underfitting or overfitting to the training data. With the help of practical exercises, you’ll learn to use cross-validation techniques to evaluate your models and then choose the optimal hyperparameters to fine-tune their performance. Finally, you’ll explore recurrent neural networks and learn how to train them to predict values in sequential data.By the end of this book, you'll have developed the skills you need to confidently train your own neural network models.
Hyatt Saleh
Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you’re starting from scratch.It’s no surprise that deep learning’s popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you’ll use PyTorch to understand the complexity of neural network architectures.The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You’ll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you’ll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues.By the end of this book, you’ll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps.
Mirza Rahim Baig, Thomas V. Joseph, Nipun...
Are you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout.The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You’ll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you’ll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you’ll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis.By the end of this deep learning book, you’ll have learned the skills essential for building deep learning models with TensorFlow and Keras.
Steve (Satish) Sangapu, Dheeraj Panyam, Jason Marston
Legacy applications, which comprise 75–80% of all enterprise applications, often end up being stuck in data centers. Modernizing these applications to make them cloud-native enables them to scale in a cloud environment without taking months or years to start seeing the benefits. This book will help software developers and solutions architects to modernize their applications on Google Cloud and transform them into cloud-native applications.This book helps you to build on your existing knowledge of enterprise application development and takes you on a journey through the six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining. You'll learn how to modernize a legacy enterprise application on Google Cloud and build on existing assets and skills effectively. Taking an iterative and incremental approach to modernization, the book introduces the main services in Google Cloud in an easy-to-understand way that can be applied immediately to an application.By the end of this Google Cloud book, you'll have learned how to modernize a legacy enterprise application by exploring various interim architectures and tooling to develop a cloud-native microservices-based application.
Viktor Farcic
Building on The DevOps 2.0 Toolkit, The DevOps 2.1 Toolkit: Docker Swarm, and The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters, Viktor Farcic brings his latest exploration of the DevOps Toolkit as he takes you on a journey to explore the features of Kubernetes.The DevOps 2.3 Toolkit: Kubernetes is a book in the series that helps you build a full DevOps Toolkit. This book in the series looks at Kubernetes, the tool designed to, among other roles, make it easier in the creation and deployment of highly available and fault-tolerant applications at scale, with zero downtime.Within this book, Viktor will cover a wide range of emerging topics, including what exactly Kubernetes is, how to use both first and third-party add-ons for projects, and how to get the skills to be able to call yourself a “Kubernetes ninja.” Work with Viktor and dive into the creation and exploration of Kubernetes with a series of hands-on guides.
The DevOps Career Handbook. The ultimate guide to pursuing a successful career in DevOps
John Knight, Nate Swenson
DevOps is a set of practices that make up a culture, and practicing DevOps methods can make developers more productive and easier to work with. The DevOps Career Handbook is filled with hundreds of tips and tricks from experts regarding every step of the interview process, helping you save time and money by steering clear of avoidable mistakes.You’ll learn about the various career paths available in the field of DevOps, before acquiring the essential skills needed to begin working as a DevOps professional. If you are already a DevOps engineer, this book will help you to gain advanced skills to become a DevOps specialist. After getting to grips with the basics, you'll discover tips and tricks for preparing your resume and online profiles and find out how to build long-lasting relationships with the recruiters. Finally, you'll read through interviews which will give you an insight into a career in DevOps from the viewpoint of individuals at different career levels.By the end of this DevOps book, you’ll gain a solid understanding of what DevOps is, the various DevOps career paths, and how to prepare for your interview.
Vincent Sesto, Onur Yilmaz, Sathsara Sarathchandra, Aric...
No doubt Docker Containers are the future of highly-scalable software systems and have cost and runtime efficient supporting infrastructure. But learning it might look complex as it comes with many technicalities. This is where The Docker Workshop will help you.Through this workshop, you’ll quickly learn how to work with containers and Docker with the help of practical activities.? The workshop starts with Docker containers, enabling you to understand how it works. You’ll run third party Docker images and also create your own images using Dockerfiles and multi-stage Dockerfiles. Next, you’ll create environments for Docker images, and expedite your deployment and testing process with Continuous Integration. Moving ahead, you’ll tap into interesting topics and learn how to implement production-ready environments using Docker Swarm. You’ll also apply best practices to secure Docker images and to ensure that production environments are running at maximum capacity. Towards the end, you’ll gather skills to successfully move Docker from development to testing, and then into production. While doing so, you’ll learn how to troubleshoot issues, clear up resource bottlenecks and optimize the performance of services.By the end of this workshop, you’ll be able to utilize Docker containers in real-world use cases.
Rob Bos, Randy Pagels, April Yoho
Cross-functional product teams are under constant pressure to build and ship faster, but too much time is lost to manual coding, slow reviews, and fragmented workflows. GitHub Copilot streamlines day-to-day coding so your team can focus on delivering value to users while maintaining high quality on real projects.Written by industry experts Rob Bos and Randy Pagels, this book shows how GitHub Copilot supports your work from start to finish. You’ll learn how to turn ideas into tasks, write code with fewer hiccups, spot problems earlier, and understand errors when things go wrong. You’ll also see how Copilot suggests improvements in pull requests and helps fix common build issues, enabling teams to keep moving and ship with confidence.You’ll integrate GitHub Copilot into daily routines, share it across roles, and make it stick with simple checklists and clear examples. You’ll also track what works, set guardrails, and build an internal community.By the end, you’ll know when GitHub Copilot helps – and when it doesn’t – and you’ll be ready to write, review, and ship code with confidence on real projects.*Email sign-up and proof of purchase required
Delio D'Anna, Andrew Hayes, Sam Hennessy, Jeremy...
The Go Workshop will take the pain out of learning the Go programming language (also known as Golang). It is designed to teach you to be productive in building real-world software. Presented in an engaging, hands-on way, this book focuses on the features of Go that are used by professionals in their everyday work.Each concept is broken down, clearly explained, and followed up with activities to test your knowledge and build your practical skills.Your first steps will involve mastering Go syntax, working with variables and operators, and using core and complex types to hold data. Moving ahead, you will build your understanding of programming logic and implement Go algorithms to construct useful functions.As you progress, you'll discover how to handle errors, debug code to troubleshoot your applications, and implement polymorphism using interfaces. The later chapters will then teach you how to manage files, connect to a database, work with HTTP servers and REST APIs, and make use of concurrent programming.Throughout this Workshop, you'll work on a series of mini projects, including a shopping cart, a loan calculator, a working hours tracker, a web page counter, a code checker, and a user authentication system.By the end of this book, you'll have the knowledge and confidence to tackle your own ambitious projects with Go.
Irena Cronin, Robert Scoble, Steve Wozniak
What is Spatial Computing, and why are companies like Tesla, Apple, and Meta investing billions into it? In The Infinite Retina, Irena Cronin and Robert Scoble explore how spatial computing—where humans and machines interact in a digital–physical space—has progressed beyond theory into real-world applications.This second edition has many substantial updates, including two new chapters on the relevance of Generative AI in Spatial Computing and a new chapter on the impact of Apple Vision Pro. Each existing chapter has been updated to have the most current information and commentary. The book offers a fresh look at seven major industries, including healthcare and retail, featuring updated case studies, expert commentary, and real-world examples. Additionally, it addresses crucial risks and challenges, such as data privacy, automation's impact on employment, and ethical concerns. This edition moves beyond speculation to critically analyze what Spatial Computing means for businesses and individuals today.
Dr. Kevin Jellow D.H.L (h.c)
Organizations over the world are migrating partially or fully to the cloud, but with the whole slew of providers, tools, and platforms available, knowing where to start can be quite challenging. If you know Microsoft Azure VMware Solution, you know it is the quickest way to migrate to the cloud without needing application modernization or rework. You can retain the same VMware tools to manage your environment while moving to Azure. But how does it work? The Ins and Outs of Azure VMware Solution has the answer.This high-level, comprehensive yet concise guide to Azure VMware Solution starts by taking you through the architecture and its applicable use cases. It will help you hit the ground running by getting straight to the important steps: planning, deploying, configuring, and managing your Azure VMware Solution instance. You’ll be able to extend your existing knowledge of Azure and VMware by covering advanced topics such as SRM and governance, setting up a hybrid connection to your on-premises datacenter, and scaling up using disk pools.By the end of the VMware book, you’ll have gone over everything you need to transition to the cloud with ease using Azure VMware Solution.
David Cuartielles, Andreas Göransson, Eric Foster-Johnson
Java is a versatile, popular programming language used across a wide range of industries. Learning how to write effective Java code can take your career to the next level, and The Java Workshop will help you do just that. This book is designed to take the pain out of Java coding and teach you everything you need to know to be productive in building real-world software.The Workshop starts by showing you how to use classes, methods, and the built-in Collections API to manipulate data structures effortlessly. You’ll dive right into learning about object-oriented programming by creating classes and interfaces and making use of inheritance and polymorphism. After learning how to handle exceptions, you’ll study the modules, packages, and libraries that help you organize your code. As you progress, you’ll discover how to connect to external databases and web servers, work with regular expressions, and write unit tests to validate your code. You’ll also be introduced to functional programming and see how to implement it using lambda functions. By the end of this Workshop, you’ll be well-versed with key Java concepts and have the knowledge and confidence to tackle your own ambitious projects with Java.
Luca Massaron, Bojan Tunguz, Konrad Banachewicz, Anthony...
Kaggle has become the proving ground for millions of data enthusiasts worldwide, offering what no classroom tutorial can match: battle-tested skills built through real-world challenges and the hands-on experience that employers seek. Every competition sharpens your data analysis skills, expands your network within the data scientist community, and gives compelling proof of expertise to unlock career opportunities.The first book of its kind, The Kaggle Book brings together everything you need to excel in competitions, data science projects, and beyond. This new edition includes fresh content and new chapters on Kaggle Models, time series, and Generative AI competitions, with three Kaggle Grandmasters guiding you through modeling strategies and sharing hard-earned insights accumulated over years of competition.The book extends far past competition tactics, revealing techniques for tackling image, tabular, and textual data as well as reinforcement learning tasks. You’ll also discover tips for designing better validation schemes and working confidently with both standard and unconventional evaluation metrics.Whether you want to climb the Kaggle leaderboard, accelerate your data science career, or improve the accuracy of your models, this book is for you.Join our Discord community of over 1,000 members to learn, share, and grow together!
Nigel Poulton, Pushkar Joglekar
Kubernetes is a powerful container orchestration platform that enables efficient application deployment, scaling, and management. This book begins with foundational concepts, explaining Kubernetes architecture, control planes, worker nodes, and the declarative model. Readers will learn how to set up a Kubernetes environment using tools like Docker Desktop and cloud-based solutions.The book then covers core operational topics, including Pods, Deployments, Namespaces, and Services, providing hands-on exercises to reinforce learning. Networking, storage, and security are explored in depth, with real-world examples of managing applications, configuring RBAC, and using ConfigMaps and Secrets. Advanced topics such as StatefulSets, the Kubernetes API, and service discovery offer insights into optimizing and securing Kubernetes workloads.Security is a key focus, with chapters dedicated to API security, threat modeling, and real-world Kubernetes security practices. Readers will gain practical knowledge on securing clusters, managing access controls, and mitigating common threats. By the end, they will be equipped with the skills to deploy, scale, and secure Kubernetes environments effectively.
Nigel Poulton, Pushkar Joglekar
Kubernetes is a powerful container orchestration platform that enables efficient application deployment, scaling, and management. This book begins with foundational concepts, explaining Kubernetes architecture, control planes, worker nodes, and the declarative model. Readers will learn how to set up a Kubernetes environment using tools like Docker Desktop and cloud-based solutions.The book then covers core operational topics, including Pods, Deployments, Namespaces, and Services, providing hands-on exercises to reinforce learning. Networking, storage, and security are explored in depth, with real-world examples of managing applications, configuring RBAC, and using ConfigMaps and Secrets. Advanced topics such as StatefulSets, the Kubernetes API, and service discovery offer insights into optimizing and securing Kubernetes workloads.Security is a key focus, with chapters dedicated to API security, threat modeling, and real-world Kubernetes security practices. Readers will gain practical knowledge on securing clusters, managing access controls, and mitigating common threats. By the end, they will be equipped with the skills to deploy, scale, and secure Kubernetes environments effectively.
The Kubernetes Book. Navigate the world of Kubernetes with expertise - Second Edition
Nigel Poulton, Pushkar Joglekar
Containers transformed how we package and deploy applications, but they came with inherent challenges. Kubernetes is a platform for deploying and managing containerized applications at scale. It also abstracts underlying infrastructure, making it easier to deploy and manage applications across heterogenous clouds and on-premises environments. The Kubernetes Book offers a beginner-friendly approach to mastering Kubernetes architecture and core concepts such as Pods, Deployments, Services, StatefulSets, Ingress, & ConfigMaps. It also demystifies the Kubernetes API, teaches you how to secure Kubernetes, and brings you up to speed with important cloud-native concepts such as microservices, declarative configuration, desired state, & reconciliation. The book also serves as a comprehensive guide for software developers, systems administrators, cloud engineers, and architects to help them master Kubernetes. It offers the most precise explanations and is full of practical examples to help develop applications on a laptop and then deploy them to real-world Kubernetes environments. The Kubernetes Book is updated annually, meaning it's always up to date with the latest and greatest in the Kubernetes and cloud-native ecosystems.
The Kubernetes Book. The fastest way to get your head around Kubernetes
Nigel Poulton, Pushkar Joglekar
Kubernetes is the leading orchestrator of cloud-native apps. With knowledge of how to work with Kubernetes, you can easily deploy and manage applications on the cloud or in your on-premises data center. The book begins by introducing you to Kubernetes and showing you how to install it. You’ll learn how to use Kubernetes Services and bring stable and reliable networking to apps that are deployed on Kubernetes. You'll delve deep into the powerful storage subsystem of Kubernetes and learn how to leverage the variety of external storage backends in your applications. As the book progresses, it shows you how to use features such as DaemonSets, Helm, and RBAC to enhance your Kubernetes applications. You'll explore the six categories of identifying vulnerabilities and look at a few ways to prevent and mitigate them. You'll also look at ways to secure the software delivery pipeline by discussing some image-related best practices. The book ends by sharing with you some resources that’ll help take your Kubernetes knowledge to the next level.By the end of the book, you’ll have the confidence and skills to leverage all the features of Kubernetes to develop scalable applications.