Get ready to take flight as two certified flight instructors guide you through the pilot ratings as it is done in the real world, starting with Sport Pilot training, then Private Pilot, followed by the Instrument Rating, Commercial Pilot, and Air Transport Pilot. They cover the skills of flight, how to master Flight Simulator, and how to use the software as a learning tool towards your pilot’s license. More advanced topics demonstrate how Flight Simulator X can be used as a continuing learning tool and how to simulate real-world emergencies.
Fly toward pilot certification with these real-world scenario exercises Although PC-based flight simulations have been available for 30 years, many pilots, instructors, and flight schools don't understand how best to use these tools in real-world flight training and pilot proficiency programs. This invaluable reference bridges the gap between simulation tools and real-world situations by presenting hands-on, scenario-based exercises and training tips for the private pilot certificate and instrument rating. As the first of its kind based on FAA-Industry Training Standards (FITS), this book steers its focus on a scenario-based curriculum that emphasizes real-world situations. Experienced pilot and author Bruce Williams ultimately aims to engage the pilot, reinforce the "realistic" selling point of PC-based flight simulations, while also complementing the FAA-approved FITS syllabi. Serves as essential reading for pilots who want to make effective use of simulation in their training while expanding their skill level and enjoyment of flying Covers private pilot real-world scenarios and instrument rating scenarios Includes a guide to recommended websites and other resources Features helpful charts as well as a glossary You'll take off towards pilot certification with this invaluable book by your side.
How to automate AWS Cloud using Terraform IaC best practices KEY FEATURES ● Learn how to create and deploy AWS Cloud Resources using Terraform IaC. ● Manage large and complex AWS infrastructures. ● Manage diverse storage options like S3 and EBS for optimal performance and cost-efficiency. DESCRIPTION AWS Cloud Automation allows organizations to effortlessly organize and handle their cloud resources. Terraform, an open-source provisioning tool, transforms the old manual way of doing things by allowing users to define, deploy, and maintain infrastructure as code, ensuring consistency, scalability, and efficiency. This book explains AWS Cloud Automation using Terraform, which is a simple and clear syntax that lets users define the infrastructure needs. Terraform simplifies setting up and managing infrastructure, reducing errors and fostering team collaboration. It enables version control, letting you monitor changes and implement CI/CD pipelines, effortlessly. The book guides you in creating and managing AWS resources through a simple configuration file, allowing you to define virtual machines, networks, databases, and more. Discover how Terraform makes organizing infrastructure code easy, promoting reusability and simple maintenance with consistent patterns across projects and teams. This book will empower readers of AWS Cloud Automation to embrace a modern, scalable, and efficient approach to managing cloud infrastructure. By combining the power of Terraform with the flexibility of AWS. WHAT YOU WILL LEARN ● Implement automated workflows with Terraform in CI/CD pipelines, for consistent and reliable deployments. ● Secure your cloud environment with robust Identity and Access Management (IAM) policies. ● Build and deploy highly available and scalable applications using EC2, VPC, and ELB. ● Automate database deployments and backups with RDS and DynamoDB for worry-free data management. ● Implement serverless architectures with EKS and Fargate for agile and cost-effective development. WHO THIS BOOK IS FOR This book is crafted for both aspiring and seasoned infrastructure enthusiasts, cloud architects, solution architects , SysOps Administrators, and DevOps professionals ready to apply the power of Terraform as their AWS go-to Infrastructure as Code (IaC) tool. TABLE OF CONTENTS 1. AWS DevOps and Automation Tools Set 2. AWS Terraform Setup 3. IAM, Governance and Policies Administration 4. Automating AWS Storage Deployment and Configuration 5. VPC and Network Security Tools Automation 6. Automating EC2 Deployment of various Workloads 7. Automating ELB Deployment and Configurations 8. AWS Route53 Policy and Routing Automation 9. AWS EKS and Fargate Deployments 10. Databases and Backup Services Automation 11. Automating and Bootstrapping Monitoring Service
Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMaker Key FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook Description Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles. This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you'll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases. By the end of this book, you'll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle. What you will learnExplore data management, storage, and fast networking for HPC applicationsFocus on the analysis and visualization of a large volume of data using SparkTrain visual transformer models using SageMaker distributed trainingDeploy and manage ML models at scale on the cloud and at the edgeGet to grips with performance optimization of ML models for low latency workloadsApply HPC to industry domains such as CFD, genomics, AV, and optimizationWho this book is for The book begins with HPC concepts, however, it expects you to have prior machine learning knowledge. This book is for ML engineers and data scientists interested in learning advanced topics on using large datasets for training large models using distributed training concepts on AWS, deploying models at scale, and performance optimization for low latency use cases. Practitioners in fields such as numerical optimization, computation fluid dynamics, autonomous vehicles, and genomics, who require HPC for applying ML models to applications at scale will also find the book useful.
Explore real-world examples of issues with systems and find ways to resolve them using Amazon CloudWatch as a monitoring service Key FeaturesBecome well-versed with monitoring fundamentals such as understanding the building blocks and architecture of networkingLearn how to ensure your applications never face downtimeGet hands-on with observing serverless applications and servicesBook Description CloudWatch is Amazon's monitoring and observability service, designed to help those in the IT industry who are interested in optimizing resource utilization, visualizing operational health, and eventually increasing infrastructure performance. This book helps IT administrators, DevOps engineers, network engineers, and solutions architects to make optimum use of this cloud service for effective infrastructure productivity. You'll start with a brief introduction to monitoring and Amazon CloudWatch and its core functionalities. Next, you'll get to grips with CloudWatch features and their usability. Once the book has helped you develop your foundational knowledge of CloudWatch, you'll be able to build your practical skills in monitoring and alerting various Amazon Web Services, such as EC2, EBS, RDS, ECS, EKS, DynamoDB, AWS Lambda, and ELB, with the help of real-world use cases. As you progress, you'll also learn how to use CloudWatch to detect anomalous behavior, set alarms, visualize logs and metrics, define automated actions, and rapidly troubleshoot issues. Finally, the book will take you through monitoring AWS billing and costs. By the end of this book, you'll be capable of making decisions that enhance your infrastructure performance and maintain it at its peak. What you will learnUnderstand the meaning and importance of monitoringExplore the components of a basic monitoring systemUnderstand the functions of CloudWatch Logs, metrics, and dashboardsDiscover how to collect different types of metrics from EC2Configure Amazon EventBridge to integrate with different AWS servicesGet up to speed with the fundamentals of observability and the AWS services used for observabilityFind out about the role Infrastructure As Code (IaC) plays in monitoringGain insights into how billing works using different CloudWatch featuresWho this book is for This book is for developers, DevOps engineers, site reliability engineers, or any IT individual with hands-on intermediate-level experience in networking, cloud computing, and infrastructure management. A beginner-level understanding of AWS and application monitoring will also be helpful to grasp the concepts covered in the book more effectively.
Prepare for success on the AWS SysOps exam, your next job interview, and in the field with this handy and practical guide The newly updated Third Edition of AWS Certified SysOps Administrator Study Guide: Associate (SOA-C02) Exam prepares you for the Amazon Web Services SysOps Administrator certification and a career in the deployment, management, and operation of an AWS environment. Whether you’re preparing for your first attempt at the challenging SOA-C02 Exam, or you want to upgrade your AWS SysOps skills, this practical Study Guide delivers the hands-on skills and best practices instruction you need to succeed on the test and in the field. You’ll get: Coverage of all of the SOA-C02 exam’s domains, including monitoring, logging, remediation, reliability, business continuity, and more Instruction that’s tailor-made to achieve success on the certification exam, in an AWS SysOps job interview, and in your next role as a SysOps administrator Access to the Sybex online study tools, with chapter review questions, full-length practice exams, hundreds of electronic flashcards, and a glossary of key terms The AWS Certified SysOps Administrator Study Guide: Associate (SOA-C02) Exam includes all the digital and offline tools you need to supercharge your career as an AWS Certified SysOps Administrator.
Special edition of the Federal register, containing a codification of documents of general applicability and future effect as of April 1 ... with ancillaries.
