Search results for ""APress""

This book will teach you the core concepts of blockchain technology in a concise manner through straightforward, concrete examples using a range of programming languages, including Python and Solidity. The 50 programs presented in this book are all you need to gain a firm understanding of blockchain and how to implement it. The book begins with an introduction to the fundamentals of blockchain technology, followed by a review of its types, framework, applications and challenges. Moving ahead, you will learn basic blockchain programming with hash functions, authentication code, and Merkle trees. You will then dive into the basics of bitcoin, including wallets, digital keys, transactions, digital signatures, and more. This is followed by a crash course on Ethereum programming, its network, and ecosystem. As you progress through the book, you will also learn about Hyperledger and put your newly-gained knowledge to work through case studies and example applications. After reading this book, you will understand blockchain’s underlying concepts and its common implementations. What You Will Learn Master theoretical and practical implementations of various blockchain components using Python Implement hashing, Merkel trees, and smart contracts using the Solidity programming language for various applications Grasp the internal structure of EVM and its implementation in smart contracts Understand why blockchain plays an essential role in cryptocurrencies and identify possible applications beyond cryptocurrencies Investigate and apply alternative blockchain solutions using Hyperledger, including its integration and deployment Explore research opportunities through case studies and gain an overview of implementation using various languages Who Is This Book For: Anyone who is new to blockchain and wants to gain an an understanding of how it works and can be implemented.

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Know the basic principles of ethical hacking. This book is designed to provide you with the knowledge, tactics, and tools needed to prepare for the Certified Ethical Hacker(CEH) exam—a qualification that tests the cybersecurity professional’s baseline knowledge of security threats, risks, and countermeasures through lectures and hands-on labs. You will review the organized certified hacking mechanism along with: stealthy network re-con; passive traffic detection; privilege escalation, vulnerability recognition, remote access, spoofing; impersonation, brute force threats, and cross-site scripting. The book covers policies for penetration testing and requirements for documentation. This book uses a unique “lesson” format with objectives and instruction to succinctly review each major topic, including: footprinting and reconnaissance and scanning networks, system hacking, sniffers and social engineering, session hijacking, Trojans and backdoor viruses and worms, hacking webservers, SQL injection, buffer overflow, evading IDS, firewalls, and honeypots, and much more. What You Will learn Understand the concepts associated with Footprinting Perform active and passive reconnaissance Identify enumeration countermeasures Be familiar with virus types, virus detection methods, and virus countermeasures Know the proper order of steps used to conduct a session hijacking attack Identify defensive strategies against SQL injection attacks Analyze internal and external network traffic using an intrusion detection system Who This Book Is For Security professionals looking to get this credential, including systems administrators, network administrators, security administrators, junior IT auditors/penetration testers, security specialists, security consultants, security engineers, and more

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New to Oracle Global Data Services? You’ve come to the right place. This book will show you how to leverage the power of Oracle GDS to ensure runtime load balancing, region affinity, replication lag tolerance-based workload routing, and inter-database service failover. In particular, you will see how to maximize the utilization of replication investments with Oracle GDS. The book starts by guiding you through the installation and configuration of GDS and provides details for each component in the GDS framework. Next, you’ll learn how to configure various components of Oracle GDS in standalone environments. Hands-on exercises that explore the advantages of GDS with different test cases utilizing Active Data Guard (ADG), Oracle GoldenGate (OGG), and Oracle Real Application Clusters (RAC) will help you put your learning in context. The book concludes with a demonstration of how to add Oracle GDS to OEM for monitoring and troubleshooting. You’ll also see how to monitor Oracle GDS in a centralized location using Oracle Enterprise Manager Cloud Control. After completing this book, you will understand the architecture, components, and implementation strategies of GDS using ADG and OGG in mission-critical environments. What You Will Learn Understand Oracle Global Data Services architecture and its various components Install and configure Oracle Global Data Services Use Global Data Services with Active Data Guard and Oracle Golden Gate. Monitor Global Data Services using Oracle Enterprise Manager Cloud Control. Troubleshoot issues in Global Data Services Who This Book Is For Oracle database administrators, Oracle database architects, Oracle technical managers, Oracle application business analysts, and Oracle data engineers.

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Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures. The book starts with the base concepts of SRE operations and developer needs, followed by definitions and acronyms of Service Level Agreements in real-world scenarios. Moving forward, you will learn how to build resilient IaaS solutions, PaaS solutions, and microservices architecture in Azure. Here you will go through Azure reference architecture for high-available storage, networking and virtual machine computing, describing Availability Sets and Zones and Scale Sets as main scenarios. You will explore similar reference architectures for Platform Services such as App Services with Web Apps, and work with data solutions like Azure SQL and Azure Cosmos DB. Next, you will learn automation to enable SRE with Azure DevOps Pipelines and GitHub Actions. You’ll also gain an understanding of how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads. You’ll be exposed to incent management and monitoring practices, by making use of Azure Monitor/Log Analytics/Grafana, which forms the foundation of monitoring Azure and Hybrid-running workloads. As an extra, the book covers two new testing solutions: Azure Chaos Studio and Azure Load Testing. These solutions will make it easier to test the resilience of your services. After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud.What Will You Learn: Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBF Understand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on Azure Understand resiliency and how to design resilient solutions in Azure for different architecture types and services Master core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHub Utilize Azure observability tools like Azure Monitor, Application Insights, KQL or Grafana Understand Incident Response and Blameless Post-Mortems and how to improve collaboration using ChatOps practices with Microsoft tools Who Is This Book For:IT operations administrators, engineers, security team members, as well as developers or DevOps engineers.

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Navigate through the Kubernetes landscape to create and deploy container-based applications. This book will show you how to choose between the various available container-based operating systems, and how to design a better continuous integration pipeline for your container images, where to store them, and how to scan and secure them. In the first half of the book, you'll learn the practical tips on how to setup the system for visibility and troubleshooting, how to reduce the attack vector and reduce risks. The second half of the book focuses on Kubernetes, the popular container orchestration system. You'll see how to setup your Kubernetes for practical applications such as show/chargeback using tagging, efficient use of namespaces and pods, various isolation layers. It also shows you how to integrate with popular implementations of K8S such as AWS EKS (Elastic Container Service), GCP Google Kubernetes Engine (GKE) in touch points such as authentication and authorization, optimization, logging and troubleshooting tools, etc. By practicing the scenarios given in this book, you will be able to make better design choices that are appropriate for the constraints you are working with. Deploy Container Applications Using Kubernetes is your go-to resource for an optimal deployment of workloads using containers and Kubernetes in both public and private cloud settings. What You'll Learn Understand the various design choices, their pros and cons Build a better CI/CD pipeline for your containers and Kubernetes Deploy your first container application in a public cloud K8S engine Improve your existing K8S deployment for efficiency and elegance Who This Book Is ForIT Platform Architects, System Engineers/, and System Administrators

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Chapter 1: Virtual Threads.- Chapter 2: Structured Concurrency.- Chapter 3: Scoped Values.- Chapter 4: Concurrency Patterns.

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Use Java to do whatever you want to do with the Raspberry Pi and the devices you need for your project. In theory, it should be possible, and even easy, to work with on the Pi. Unfortunately, reality is a bit different. This book features an extensive set of techniques that allow you to get close to bringing this theory to fruition.You'll review some limitations on using Java imposed by the Raspberry Pi and Raspberry Pi OS, and even Java itself, and examine which ones might apply to your projects and your devices. You'll also explore solutions to address the limitations and l look at efficient development of Java for the Raspberry Pi. Java on the Raspberry Pi shows how to interact with a range of devices useful in robotics and IOT, overcoming the hurdles in doing so. It also covers off-loading work from the Raspberry Pi to an Arduino, leveraging its close-to-real time capabilities. What You'll Learn Develop with Java remotely using NetBeans Leverage available libraries to enable device interaction, and what to do if they don’t work Implement multi-processing, using an Arduino as a co-processor Build sophisticated projects with multiple threads of execution, multiple processes, and even multiple systems Who This Book Is ForExperienced programmers who appreciate the benefits of Java and world class tools for application development and want to build robotics or IOT projects using the low cost, low power, and portability of the Raspberry Pi.

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Master the features of C++ that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and numerical libraries. This book also covers new features introduced in C++20 and other recent standard releases: modules, concepts, spaceship operators, and smart pointers. You will explore how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. These include advanced C++ concepts as well as the basic building libraries used by modern C++ developers, such as the STL and Boost, while also leveraging knowledge of object-oriented and template-based programming.  Options and Derivatives Programming in C++ provides a great value for readers who are trying to use their current programming knowledge in order to become proficient in the style of programming used in large banks, hedge funds, and other investment institutions. The

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This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform.Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of data science services that can be used to store, process, and analyze large datasets, and train and deploy machine learning models.The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics. Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for data science and big data projects.Readers will learn how to set up a Google Colaboratory account and run Jupyter notebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy machine learning models using Vertex AI. The book also covers how to visualize data using Looker Data Studio, run data processing pipelines using Google Cloud Dataflow and Dataprep, and store data using Google Cloud Storage and SQL.What You Will Learn Set up a GCP account and project Explore BigQuery and its use cases, including machine learning Understand Google Cloud AI Platform and its capabilities Use Vertex AI for training and deploying machine learning models Explore Google Cloud Dataproc and its use cases for big data processing Create and share data visualizations and reports with Looker Data Studio Explore Google Cloud Dataflow and its use cases for batch and stream data processing Run data processing pipelines on Cloud Dataflow Explore Google Cloud Storage and its use cases for data storage Get an introduction to Google Cloud SQL and its use cases for relational databases Get an introduction to Google Cloud Pub/Sub and its use cases for real-time data streaming Who This Book Is ForData scientists, machine learning engineers, and analysts who want to learn how to use Google Cloud Platform (GCP) for their data science and big data projects

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This book will show you how to harness the power of Appsmith, an open-source low-code platform with a large set of integration tools and an active community. The book begins with an introduction to Appsmith and its features. As you explore the platform, you will learn about widgets, UI Canvas, and data stores, among other things. Authors Rahul Sharma and Rajat Arora then show you how to build customizations and navigation workflows, as well as how to handle error handling, debugging, and troubleshooting with Appsmith. You will also learn efficient monitoring and authentication for deploying production-ready systems. Low-Code Development with AppSmith provides examples, realistic scenarios, and explanations of the tools you'll need to build successful low-code apps, helping you gain practical skills. Upon completing this book, you will be able to use Appsmith to build low-code solutions that suit your business requirements. What You Will Learn Understand low-code development and the factors driving its adoption Solve your business's most pressing issues with Appsmith Gain an understanding of the key concepts of app development, such as data management, APIs, troubleshooting, and debugging Model different design patterns for low-code development Who This Book Is For Anyone interested in designing technical solutions with minimal programming. This book assumes a basic understanding of object-oriented programming and JavaScript.

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This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries. It will guide you through the fundamentals of technical decision making, including planning, building, optimizing, packaging, and deploying end-to-end, reliable, and robust stochastic workflows using the language of data science. MLOps Lifecycle Toolkit walks you through the principles of software engineering, assuming no prior experience. It addresses the perennial “why” of MLOps early, along with insight into the unique challenges of engineering stochastic systems. Next, you’ll discover resources to learn software craftsmanship, data-driven testing frameworks, and computer science. Additionally, you will see how to transition from Jupyter notebooks to code editors, and leverage infrastructure and cloud services to take control of the entire machine learning lifecycle. You’ll gain insight into the technical and architectural decisions you’re likely to encounter, as well as best practices for deploying accurate, extensible, scalable, and reliable models. Through hands-on labs, you will build your own MLOps “toolkit” that you can use to accelerate your own projects. In later chapters, author Dayne Sorvisto takes a thoughtful, bottom-up approach to machine learning engineering by considering the hard problems unique to industries such as high finance, energy, healthcare, and tech as case studies, along with the ethical and technical constraints that shape decision making. After reading this book, whether you are a data scientist, product manager, or industry decision maker, you will be equipped to deploy models to production, understand the nuances of MLOps in the domain language of your industry, and have the resources for continuous delivery and learning. What You Will Learn Understand the principles of software engineering and MLOps Design an end-to-end machine learning system Balance technical decisions and architectural trade-offs Gain insight into the fundamental problems unique to each industry and how to solve them Who This Book Is For Data scientists, machine learning engineers, and software professionals.

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Learn the fundamentals of serverless applications and how to take advantage of time-tested Amazon Web Services (AWS) to build scalable apps. This book shows you how to work with the key features of your applications with minimum code, simple CLI commands and one-click deployments. You'll see how to manage authentication, standard UI components, database storage, filesystem, CI/CD pipeline and more. You'll also examine the architecture, strengths, scalability, and limitations of serverless, and how to use AWS Amplify effectively. You will use tools including React, Cognito, GraphQL, DynamoDB, Kinesis, and Sagemaker. AWS Amplify is the fastest and easiest way to build serverless web and mobile apps at scale, comprising tools and services that work independently and can be wired together to build scalable apps. What You'll Learn Build GraphQL and REST APIs Model data with Amplify Datastores Set up a CI/CD pipeline with Amplify Record and make sense of user data analytics with Kinesis Boost your application with AI/ML capability using Sagemaker Who This Book Is ForDevelopers who have worked on web technologies and want to learn how to build serverless applications and developers interested in making powerful applications using AWS that can then be wired using AWS Amplify.

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Cyberattacks are becoming more commonplace and the Open Web Application Security Project (OWASP), estimates 94% of sites have flaws in their access control alone. Attacks evolve to work around new defenses, and defenses must evolve to remain effective. Developers need to understand the fundamentals of attacks and defenses in order to comprehend new techniques as they become available. This book teaches you how to write secure web applications.The focus is highlighting how hackers attack applications along with a broad arsenal of defenses. This will enable you to pick appropriate techniques to close vulnerabilities while still providing users with their needed functionality.Topics covered include:A framework for deciding what needs to be protected and how stronglyConfiguring services such as databases and web serversSafe use of HTTP methods such as GET, POST, etc, cookies and use of HTTPSSafe REST APIsServer-side attacks and defenses such as injection and cross-site scriptingClient-side attacks and defenses such as cross-site request forgerySecurity techniques such as CORS, CSPPassword management, authentication and authorization, including OAuth2Best practices for dangerous operations such as password change and resetUse of third-party components and supply chain security (Git, CI/CD etc)What You'll Learn Review the defenses that can used to prevent attacks Model risks to better understand what to defend and how Choose appropriate techniques to defend against attacks Implement defenses in Python/Django applications Who This Book Is For Developers who already know how to build web applications but need to know more about security Non-professional software engineers, such as scientists, who must develop web tools and want to make their algorithms available to a wider audience. Engineers and managers who are responsible for their product/company technical security policy

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Learn best practices and the proper use of Azure management tools, such as Azure Portal, Azure PowerShell, Azure CLI, and ARM templates, which are time-saving tools that support daily administration tasks such as monitoring, alerting, backups, security, and more. This book explores common Azure services, including Azure networking, virtual machines, app services, backup, monitoring, and other tools of the trade that IT professionals use on a regular basis. And you will come away with a strong understanding of these services and how to use them.While Microsoft Azure is no longer “the new cloud on the block,” it continues to be one of the fastest-growing platforms with regard to features, integrations, and capabilities. Over the last decade, it has undergone significant changes and amassed a large following, but many of its users, especially those who transitioned from traditional admin tasks to modern cloud computing, are not reaping its full benefits.Management in the cloud, while seemingly simpler in some ways, is not without its own set of complexities and headaches. Admins want to streamline it where it makes sense and allocate the right resources to the right job in order to keeps cost in check, but where does one begin? Pro Azure Administration and Automation is a comprehensive guide that is chock full of time-saving recipes and scripts you can rely on to learn about day-to-day Azure administration and automation. What You Will Learn Attain theoretical and practical knowledge on deploying and managing Azure Gain an understanding of services, their relationship with other services, and their configuration parameters Adopt a modern mindset, transitioning from a traditional IT admin mindset to a cloud admin pro Understand how everything in the cloud is billable and learn how to factor it into choices Apply in-chapter PowerShell scripts and ARM templates which can be re-purposed Know when it makes sense to be more involved in tasks (for example, automation and scripting) Who This Book Is For IT professionals who are responsible for the day-to-day tasks in Azure as well as cloud management and planning

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Learn how to define strategies for cloud adoption of your Oracle database landscape. Understand private cloud, public cloud, and hybrid cloud computing in order to successfully design and manage databases in the cloud.The Cloud DBA-Oracle provides an overview of Database-as-a-Service (DBaaS) that you can use in defining your cloud adoption strategy. In-depth details of various cloud service providers for Oracle database are given, including Oracle Cloud and Amazon Web Services (AWS). Database administration techniques relevant to hosting databases in the cloud are shown in the book as well as the technical details needed to perform all database administration tasks and activities, such as migration to the cloud, backup in the cloud, and new database setup in the cloud.You will learn from real-world business cases and practical examples of administration of Oracle database in the cloud, highlighting the challenges faced and solutions implemented.What you will learn: Cloud computing concepts from the DBA perspective, such as private cloud, public cloud, hybrid cloud Technical details of all aspects of cloud database administration Challenges faced during setup of databases in private cloud or database migration to public cloud Key points to be kept in mind during database administration in the cloud Practical examples of successful Oracle database cloud migration and support Who Is This Book For All levels of IT professionals, from executives responsible for determining database strategies to database administrators and database architects who manage and design databases.

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