Build, deploy, test, and run cloud-native serverless applications using AWS Lambda and other popular AWS services Key FeaturesLearn how to write, run, and deploy serverless applications in Amazon Web ServicesMake the most of AWS Lambda functions to build scalable and cost-efficient systemsBuild and deploy serverless applications with Amazon API Gateway and AWS Lambda functionsBook Description Serverless computing is a way to run your code without having to provision or manage servers. Amazon Web Services provides serverless services that you can use to build and deploy cloud-native applications. Starting with the basics of AWS Lambda, this book takes you through combining Lambda with other services from AWS, such as Amazon API Gateway, Amazon DynamoDB, and Amazon Step Functions. You’ll learn how to write, run, and test Lambda functions using examples in Node.js, Java, Python, and C# before you move on to developing and deploying serverless APIs efficiently using the Serverless Framework. In the concluding chapters, you’ll discover tips and best practices for leveraging Serverless Framework to increase your development productivity. By the end of this book, you’ll have become well-versed in building, securing, and running serverless applications using Amazon API Gateway and AWS Lambda without having to manage any servers. What you will learnUnderstand the core concepts of serverless computing in AWSCreate your own AWS Lambda functions and build serverless APIs using Amazon API GatewayExplore best practices for developing serverless applications at scale using Serverless FrameworkDiscover the DevOps patterns in a modern CI/CD pipeline with AWS CodePipelineBuild serverless data processing jobs to extract, transform, and load dataEnforce resource tagging policies with continuous compliance and AWS ConfigCreate chatbots with natural language understanding to perform automated tasksWho this book is for This AWS book is for cloud architects and developers who want to build and deploy serverless applications using AWS Lambda. A basic understanding of AWS is required to get the most out of this book.

This is the eBook version of the print title. Note that the eBook does not provide access to the practice test software that accompanies the print book. Learn, prepare, and practice for AWS Certified Solutions Architect - Associate (SAA-C01) exam success with this Cert Guide from Pearson IT Certification, a leader in IT Certification learning. Master AWS Certified Solutions Architect - Associate (SAA-C01) exam topics Assess your knowledge with chapter-ending quizzes Review key concepts with exam preparation tasks AWS Certified Solutions Architect - Associate (SAA-C01) Cert Guide is a best-of-breed exam study guide. Best-selling author and expert instructor Anthony Sequeira shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics. The book presents you with an organized test-preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. Review questions help you assess your knowledge, and a final preparation chapter guides you through tools and resources to help you craft your final study plan. Well regarded for its level of detail, assessment features, and challenging review questions and exercises, this study guide helps you master the concepts and techniques that will enable you to succeed on the exam the first time. The study guide helps you master all the topics on the AWS Certified Solutions Architect - Associate exam, including how to · Design resilient architectures that ensure storage high availability while providing for decoupling mechanisms, multitier infrastructure, and high availability · Define performant architectures with efficient storage and databases, caching optimizations, and improved elasticity · Specify secure applications and architectures, encompassing application tiers, data, and networking infrastructure · Design cost-optimized architectures, addressing both storage and compute · Define operationally excellent architectures, and understand their characteristics

Database Management Using AI: A Comprehensive Guide is a professional yet accessible exploration of how artificial intelligence (AI) is reshaping the world of database management. Designed for database administrators, data scientists, and tech enthusiasts, this book walks readers through the transformative impact of AI on modern data systems. The guide begins with the fundamentals of database management, covering key concepts such as data models, SQL, and the principles of database design. From there, it delves into the powerful role AI plays in optimizing database performance, enhancing security, and automating complex tasks like data retrieval, query optimization, and schema design. The book doesn't stop at theory. It brings AI to life with practical case studies showing how AI-driven database systems are being used in industries such as e-commerce, healthcare, finance, and logistics. These real-world examples demonstrate AI's role in improving efficiency, reducing errors, and driving intelligent decision-making. Key topics covered include: Introduction to Database Systems: Fundamentals of database management, from relational databases to modern NoSQL systems. AI Integration: How AI enhances database performance, automates routine tasks, and strengthens security. Real-World Applications: Case studies from diverse sectors like healthcare, finance, and retail, showcasing the practical impact of AI in database management. Predictive Analytics and Data Mining: How AI tools leverage data to make accurate predictions and uncover trends. Future Trends: Explore cutting-edge innovations like autonomous databases and cloud-based AI solutions that are shaping the future of data management. With its clear explanations and actionable insights, Database Management Using AI equips readers with the knowledge to navigate the fast-evolving landscape of AI-powered databases, making it a must-have resource for those looking to stay ahead in the digital age.

Learn, prepare, and practice for AWS Certified Cloud Practitioner CLF-C02 exam success with this Cert Guide from Pearson IT Certification, a leader in IT Certification learning. AWS Certified Cloud Practitioner CLF-C02 Cert Guide from Pearson IT Certification helps you prepare to succeed on the AWS Certified Cloud Practitioner CLF-C02 exam by directly addressing the exam’s objectives as stated by AWS. Leading cloud instructor Anthony Sequeira shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. This complete study package includes Complete coverage of the exam objectives and a test-preparation routine designed to help you pass the exams Do I Know This Already? quizzes, which allow you to decide how much time you need to spend on each section Chapter-ending Key Topic tables, which help you drill on key concepts you must know thoroughly The powerful Pearson Test Prep Practice Test software, complete with hundreds of well-reviewed, exam-realistic questions, customization options, and detailed performance reports An online, interactive Flash Cards application to help you drill on Key Terms by chapter A final preparation chapter, which guides you through tools and resources to help you craft your review and test-taking strategies Study plan suggestions and templates to help you organize and optimize your study time Well regarded for its level of detail, study plans, assessment features, and challenging review questions and exercises, this study guide helps you master the concepts and techniques that ensure your exam success. This study guide helps you master all the topics on the AWS Certified Cloud Practitioner CLF-C02 exam, deepening your knowledge of: Cloud Concepts: benefits; design principles; migration strategies; cloud economics Security and Compliance: AWS shared responsibility model; security, governance, and compliance concepts; access management; security features and services Cloud Technology and Services: deploying and operating in the AWS Cloud; AWS global infrastructure; compute, database, network, and storage services; AWS AI/ML services and analytics services Billing, Pricing, and Support: pricing models; billing, budget, and cost management; technical resources and support options

This is the eBook version of the print title and might not provide access to the practice test software that accompanies the print book. Learn, prepare, and practice for CompTIA Cybersecurity Analyst (CySA+) CS0-002 exam success with this Cert Guide from Pearson IT Certification, a leader in IT certification learning. Master the CompTIA Cybersecurity Analyst (CySA+) CS0-002 exam topics: * Assess your knowledge with chapter-ending quizzes * Review key concepts with exam preparation tasks * Practice with realistic exam questions * Get practical guidance for next steps and more advanced certifications CompTIA Cybersecurity Analyst (CySA+) CS0-002 Cert Guide is a best-of-breed exam study guide. Leading IT certification instructor Troy McMillan shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics. CompTIA Cybersecurity Analyst (CySA+) CS0-002 Cert Guide presents you with an organized test preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. Review questions help you assess your knowledge, and a final preparation chapter guides you through tools and resources to help you craft your final study plan. Well regarded for its level of detail, assessment features, and challenging review questions and exercises, this study guide helps you master the concepts and techniques that will allow you to succeed on the exam the first time. The study guide helps you master all the topics on the CompTIA Cybersecurity Analyst (CySA+) CS0-002 exam, including * Vulnerability management activities * Implementing controls to mitigate attacks and software vulnerabilities * Security solutions for infrastructure management * Software and hardware assurance best practices * Understanding and applying the appropriate incident response * Applying security concepts in support of organizational risk mitigation

Master architecting and implementing advanced security strategies across complex enterprise networks with this hands-on guide Key Features Learn how to apply industry best practices and earn the CASP+ certification Explore over 400 CASP+ questions to test your understanding of key concepts and help you prepare for the exam Discover over 300 illustrations and diagrams that will assist you in understanding advanced CASP+ concepts Book DescriptionCompTIA Advanced Security Practitioner (CASP+) ensures that security practitioners stay on top of the ever-changing security landscape. The CompTIA CASP+ CAS-004 Certification Guide offers complete, up-to-date coverage of the CompTIA CAS-004 exam so you can take it with confidence, fully equipped to pass on the first attempt. Written in a clear, succinct way with self-assessment questions, exam tips, and mock exams with detailed explanations, this book covers security architecture, security operations, security engineering, cryptography, governance, risk, and compliance. You'll begin by developing the skills to architect, engineer, integrate, and implement secure solutions across complex environments to support a resilient enterprise. Moving on, you'll discover how to monitor and detect security incidents, implement incident response, and use automation to proactively support ongoing security operations. The book also shows you how to apply security practices in the cloud, on-premises, to endpoints, and to mobile infrastructure. Finally, you'll understand the impact of governance, risk, and compliance requirements throughout the enterprise. By the end of this CASP study guide, you'll have covered everything you need to pass the CompTIA CASP+ CAS-004 certification exam and have a handy reference guide.What you will learn Understand Cloud Security Alliance (CSA) and the FedRAMP programs Respond to Advanced Persistent Threats (APT) by deploying hunt teams Understand the Cyber Kill Chain framework as well as MITRE ATT&CK and Diamond Models Deploy advanced cryptographic solutions using the latest FIPS standards Understand compliance requirements for GDPR, PCI, DSS, and COPPA Secure Internet of Things (IoT), Industrial control systems (ICS), and SCADA Plan for incident response and digital forensics using advanced tools Who this book is for This CompTIA book is for CASP+ CAS-004 exam candidates who want to achieve CASP+ certification to advance their career. Security architects, senior security engineers, SOC managers, security analysts, IT cybersecurity specialists/INFOSEC specialists, and cyber risk analysts will benefit from this book. Experience in an IT technical role or CompTIA Security+ certification or equivalent is assumed.

This book explores how advances in graphic processing units (GPUs), programmable logic devices (TPUs), and field-programmable gate arrays have altered the serverless computing landscape (FPGAs). Distributed system architectures and implementations have undergone significant changes due to the popularity of serverless computing. Making and releasing product applications, doing market research, and maintaining customer interactions might all benefit from the reduced infrastructure expenses made possible by serverless computing. This book is a great resource for teachers and students interested in learning more about serverless computing. Some of the main questions surrounding serverless technology, such as scalability and performance distribution, are answered. Concepts and fundamentals of computing performance such as cost-free operation, good time and resource management, fairness, and interoperability are discussed. Serverless is at the forefront of this shift, which has made data-intensive, distributed applications, and open-source platforms essential for any modern computer to function. Data-centric queuing, real-time logging and monitoring, querying, and alarms are all examples of serverless services.