Programowanie
AWS: Security Best Practices on AWS. Learn to secure your data, servers, and applications with AWS
Albert Anthony
With organizations moving their workloads, applications, and infrastructure to the cloud at an unprecedented pace, security of all these resources has been a paradigm shift for all those who are responsible for security; experts, novices, and apprentices alike.This book focuses on using native AWS security features and managed AWS services to help you achieve continuous security. Starting with an introduction to Virtual Private Cloud (VPC) to secure your AWS VPC, you will quickly explore various components that make up VPC such as subnets, security groups, various gateways, and many more.You will also learn to protect data in the AWS platform for various AWS services by encrypting and decrypting data in AWS. You will also learn to secure web and mobile applications in AWS cloud.This book is ideal for all IT professionals, system administrators, security analysts, solution architects, and chief information security officers who are responsible for securing workloads in AWS for their organizations.This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. This book is repurposed for this specific learning experience from material from Packt's Mastering AWS Security, written by Albert Anthony.
Heartin Kanikathottu
As a security consultant, securing your infrastructure by implementing policies and following best practices is critical. This cookbook discusses practical solutions to the most common problems related to safeguarding infrastructure, covering services and features within AWS that can help you implement security models such as the CIA triad (confidentiality, integrity, and availability), and the AAA triad (authentication, authorization, and availability), along with non-repudiation.The book begins with IAM and S3 policies and later gets you up to speed with data security, application security, monitoring, and compliance. This includes everything from using firewalls and load balancers to secure endpoints, to leveraging Cognito for managing users and authentication. Over the course of this book, you'll learn to use AWS security services such as Config for monitoring, as well as maintain compliance with GuardDuty, Macie, and Inspector. Finally, the book covers cloud security best practices and demonstrates how you can integrate additional security services such as Glacier Vault Lock and Security Hub to further strengthen your infrastructure.By the end of this book, you'll be well versed in the techniques required for securing AWS deployments, along with having the knowledge to prepare for the AWS Certified Security – Specialty certification.
Eric Z. Beard , Rowan Udell, Lucas...
AWS is an on-demand remote computing service providing cloud infrastructure over the internet with storage, bandwidth, and customized support for APIs. This updated second edition will help you implement these services and efficiently administer your AWS environment.You will start with the AWS fundamentals and then understand how to manage multiple accounts before setting up consolidated billing. The book will assist you in setting up reliable and fast hosting for static websites, sharing data between running instances and backing up data for compliance. By understanding how to use compute service, you will also discover how to achieve quick and consistent instance provisioning. You’ll then learn to provision storage volumes and autoscale an app server. Next, you’ll explore serverless development with AWS Lambda, and gain insights into using networking and database services such as Amazon Neptune. The later chapters will focus on management tools like AWS CloudFormation, and how to secure your cloud resources and estimate costs for your infrastructure. Finally, you’ll use the AWS well-architected framework to conduct a technology baseline review self-assessment and identify critical areas for improvement in the management and operation of your cloud-based workloads.By the end of this book, you’ll have the skills to effectively administer your AWS environment.
Sjoukje Zaal
Azure Active Directory for Secure Application Development is your one-stop shop for learning how to develop secure applications using modern authentication techniques with Microsoft Azure AD. Whether you’re working with single-tenant, multi-tenant, or line-of-business applications, this book contains everything you need to secure them.The book wastes no time in diving into the practicalities of Azure AD. Right from the start, you’ll be setting up tenants, adding users, and registering your first application in Azure AD. The balance between grasping and applying theory is maintained as you move from the intermediate to the advanced: from the basics of OAuth to getting your hands dirty with building applications and registering them in Azure AD. Want to pin down the Microsoft Graph, Azure AD B2C, or authentication protocol best practices? We’ve got you covered. The full range of Azure AD functionality from a developer perspective is here for you to explore with confidence.By the end of this secure app development book, you’ll have developed the skill set that so many organizations are clamoring for. Security is mission-critical, and after reading this book, you will be too.
Peter T. Lee
Written by a seasoned solutions architect and Microsoft AI professional with over 25 years of IT experience, Azure AI-102 Certification Essentials will help you gain the skills and knowledge needed to confidently pass the Azure AI-102 certification exam and advance your career. This comprehensive guide covers all of the exam objectives, from designing AI solutions to integrating AI models into Azure services. By combining theoretical concepts with visual examples, hands-on exercises, and real-world use cases, the chapters teach you how to effectively apply your new-found knowledge.The book emphasizes responsible AI practices, addressing fairness, reliability, privacy, and security, while guiding you through testing AI models with diverse data and navigating legal considerations. Featuring the latest Azure AI tools and technologies, each chapter concludes with hands-on exercises to reinforce your learning, culminating in Chapter 11's comprehensive set of 45 mock questions that simulate the actual exam and help you assess your exam readiness.By the end of this book, you'll be able to confidently design, implement, and integrate AI solutions on Azure, while achieving this highly sought-after certification.*Email sign-up and proof of purchase required
Azure Architecture Explained. A comprehensive guide to building effective cloud solutions
David Rendón, Brett Hargreaves
Azure is a sophisticated technology that requires a detailed understanding to reap its full potential and employ its advanced features. This book provides you with a clear path to designing optimal cloud-based solutions in Azure, by delving into the platform's intricacies. You’ll begin by understanding the effective and efficient security management and operation techniques in Azure to implement the appropriate configurations in Microsoft Entra ID. Next, you’ll explore how to modernize your applications for the cloud, examining the different computation and storage options, as well as using Azure data solutions to help migrate and monitor workloads. You’ll also find out how to build your solutions, including containers, networking components, security principles, governance, and advanced observability. With practical examples and step-by-step instructions, you’ll be empowered to work on infrastructure-as-code to effectively deploy and manage resources in your environment. By the end of this book, you’ll be well-equipped to navigate the world of cloud computing confidently.
Sasa Kovacevic, Darren Dempsey
You've heard about the benefits of the cloud and you want to get on board, but you’re not sure where to start, what services to use, or how to make sure your data is safe. Making the decision to move to the cloud can be daunting and it's easy to get overwhelmed, but if you're not careful, you can easily make mistakes that cost you time and money.Azure Cloud Adoption Framework Handbook is here to help. This guide will take you step-by-step through the process of making the switch to the Microsoft Azure cloud. You’ll learn everything from foundational cloud concepts and planning workload migration through to upskilling and organization transformation. As you advance, you’ll find out how to identify and align your business goals with the most suitable cloud technology options available. The chapters are designed in a way to enable you to plan for a smooth transition, while minimizing disruption to your day-to-day operations. You’ll also discover how the cloud can help drive innovation in your business or enable modern software development practices such as microservices and CI/CD. Throughout the chapters, you’ll see how decision makers can interact with other internal stakeholders to achieve success through the power of collaboration. By the end of this book, you’ll be more informed and less overwhelmed about moving your business to the cloud.
Azure Cloud Projects. Learn Microsoft Azure through hands-on, real-world projects
Hamid Sadeghpour Saleh, Jonah C. Andersson, Sherry...
Want to get hands-on with Azure and boost your cloud solution skills by working on real-world projects? Azure Cloud Projects is your go-to resource. Written by a seasoned Microsoft Cloud Technologies Architect renowned for his expertise in crafting innovative solutions, this hands-on guide will empower you to build real-world applications using Microsoft Azure.Through hands-on projects, you’ll explore core cloud concepts and gain the experience needed to confidently launch your cloud career. The chapters help you build a strong foundation in cloud computing and Azure services, including how to set up your Azure account and navigate the portal. You’ll learn how to develop increasingly complex solutions as you progress—from configuring networks and deploying web apps to managing databases and containers. Advancing through the chapters, you’ll learn how to implement identity and access controls with Entra ID, automate workflows using Azure Functions, build a CI/CD pipeline with Azure DevOps, and optimize cloud costs for scalable growth.By the end of this book, you’ll have a solid grasp of Azure’s capabilities and a portfolio of practical projects that showcase your job-ready skills and set you up for success in entry-level cloud roles.
Wesley Haakman , Richard Hooper
Whether you’re working with a start-up or an enterprise, making decisions related to using different container technologies on Azure has a notable impact your app migration and modernization strategies. This is where companies face challenges, while choosing the right solutions and deciding when to move on to the next technology. Azure Containers Explained helps you make the right architectural choices for your solutions and get well-versed with the migration path to other platforms using practical examples.You’ll begin with a recap of containers as technology and where you can store them within Azure. Next, you’ll explore the different Microsoft Azure container technologies and understand how each platform, namely Azure Container Apps, Azure Kubernetes Service (AKS), Azure Container Instances (ACI), Azure Functions, and Azure App Services, work – you’ll learn to implement them by grasping their respective characteristics and use cases. Finally, you’ll build upon your own container solution on Azure using best practices from real-world examples and successfully transform your business from a start-up to a full-fledged enterprise.By the end of this book, you’ll be able to effectively cater to your business and application needs by selecting and modernizing your apps using various Microsoft Azure container services.
Newton Alex
Azure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other.Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you’ll work on sample questions and answers to familiarize yourself with the pattern of the exam.By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.
Giacinto Palmieri, Surendra Mettapalli, Newton Alex
One of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This comprehensive exam guide is designed for both beginners and seasoned professionals, aligned with the latest DP-203 certification exam, to help you pass the exam on your first try.The book provides a foundational understanding of IaaS, PaaS, and SaaS, starting with core concepts like virtual machines (VMs), VNETS, and App Services and progressing to advanced topics such as data storage, processing, and security. What sets this exam guide apart is its hands-on approach, seamlessly integrating theory with practice through real-world examples, practical exercises, and insights into Azure's evolving ecosystem. Additionally, you'll unlock lifetime access to supplementary practice material on an online platform, including mock exams, interactive flashcards, and exam tips, ensuring a comprehensive exam prep experience.By the end of this book, you’ll not only be ready to excel in the DP-203 exam, but also be equipped to tackle complex challenges as an Azure data engineer.
Ahmad Osama, Nagaraj Venkatesan
Data engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis.It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You’ll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer.By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.
Ahmad Osama, Nagaraj Venkatesan
Data engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis.It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You’ll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer.By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.
Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia...
Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running by showing you how to create and execute your first job in ADF. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines. This book will help you to discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage, which are frequently used for big data analytics. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premise infrastructure with cloud-native tools to get relevant business insights. As you advance, you’ll be able to integrate the most commonly used Azure Services into ADF and understand how Azure services can be useful in designing ETL pipelines. The book will take you through the common errors that you may encounter while working with ADF and show you how to use the Azure portal to monitor pipelines. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.By the end of this book, you’ll be able to use ADF as the main ETL and orchestration tool for your data warehouse or data platform projects.
Andreas Botsikas , Michael Hlobil
The Azure Data Scientist Associate Certification Guide helps you acquire practical knowledge for machine learning experimentation on Azure. It covers everything you need to pass the DP-100 exam and become a certified Azure Data Scientist Associate.Starting with an introduction to data science, you'll learn the terminology that will be used throughout the book and then move on to the Azure Machine Learning (Azure ML) workspace. You'll discover the studio interface and manage various components, such as data stores and compute clusters.Next, the book focuses on no-code and low-code experimentation, and shows you how to use the Automated ML wizard to locate and deploy optimal models for your dataset. You'll also learn how to run end-to-end data science experiments using the designer provided in Azure ML Studio.You'll then explore the Azure ML Software Development Kit (SDK) for Python and advance to creating experiments and publishing models using code. The book also guides you in optimizing your model's hyperparameters using Hyperdrive before demonstrating how to use responsible AI tools to interpret and debug your models. Once you have a trained model, you'll learn to operationalize it for batch or real-time inferences and monitor it in production.By the end of this Azure certification study guide, you'll have gained the knowledge and the practical skills required to pass the DP-100 exam.
Andreas Botsikas , Michael Hlobil
The Azure Data Scientist Associate Certification Guide helps you acquire practical knowledge for machine learning experimentation on Azure. It covers everything you need to pass the DP-100 exam and become a certified Azure Data Scientist Associate.Starting with an introduction to data science, you'll learn the terminology that will be used throughout the book and then move on to the Azure Machine Learning (Azure ML) workspace. You'll discover the studio interface and manage various components, such as data stores and compute clusters.Next, the book focuses on no-code and low-code experimentation, and shows you how to use the Automated ML wizard to locate and deploy optimal models for your dataset. You'll also learn how to run end-to-end data science experiments using the designer provided in Azure ML Studio.You'll then explore the Azure ML Software Development Kit (SDK) for Python and advance to creating experiments and publishing models using code. The book also guides you in optimizing your model's hyperparameters using Hyperdrive before demonstrating how to use responsible AI tools to interpret and debug your models. Once you have a trained model, you'll learn to operationalize it for batch or real-time inferences and monitor it in production.By the end of this Azure certification study guide, you'll have gained the knowledge and the practical skills required to pass the DP-100 exam.
Phani Raj, Vinod Jaiswal
Azure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse.The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD).By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.
Azure DevOps Explained. Get started with Azure DevOps and develop your DevOps practices
Sjoukje Zaal, Stefano Demiliani, Amit Malik
Developing applications for the cloud involves changing development methodologies and procedures. Continuous integration and continuous deployment (CI/CD) processes are a must today, but are often difficult to implement and adopt. Azure DevOps is a Microsoft Azure cloud service that enhances your application development life cycle and enables DevOps capabilities.Starting with a comprehensive product overview, this book helps you to understand Azure DevOps and apply DevOps techniques to your development projects. You'll find out how to adopt DevOps techniques for your development processes by using built-in Azure DevOps tools. Throughout the course of this book, you'll also discover how to manage a project with the help of project management techniques such as Agile and Scrum, and then progress toward development aspects such as source code management, build pipelines, code testing and artifacts, release pipelines, and GitHub integration. As you learn how to implement DevOps practices, this book will also provide you with real-world examples and scenarios of DevOps adoption.By the end of this DevOps book, you will have learned how to adopt and implement Azure DevOps features in your real-world development processes.