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Author: Scott Patterson
Publisher: Packt Publishing Ltd
ISBN: 1789959950
Category : Computers
Languages : en
Pages : 367
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Book Description
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.
Author: Scott Patterson
Publisher: Packt Publishing Ltd
ISBN: 1789959950
Category : Computers
Languages : en
Pages : 367
Get Book Here
Book Description
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.
Author: Scott Patterson
Publisher: Packt Publishing Ltd
ISBN: 1789959950
Category : Computers
Languages : en
Pages : 367
Get Book Here
Book Description
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.
Author: Eidivandi Omid
Publisher: Orange Education Pvt Ltd
ISBN: 9348107240
Category : Computers
Languages : en
Pages : 335
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Book Description
TAGLINE Design and Build Scalable Solutions on the AWS Serverless Ecosystem. KEY FEATURES ● In-depth exploration of AWS Lambda Integration within serverless architecture. ● Expert tips and guidance on choosing compute services for peak performance. ● Practical Techniques for achieving observability, governance, and reliability. DESCRIPTION AWS Lambda, a key component of AWS Serverless Computing, has transformed application development by allowing developers to focus on code rather than infrastructure. [Mastering Serverless Computing with AWS Lambda] is a must-have guide for leveraging AWS Lambda to build efficient, cost-effective serverless cloud solutions. This book guides readers from serverless basics to advanced deployment, offering practical approaches to building resilient, scalable applications. Beginning with an introduction to serverless computing, the book explores AWS Lambda fundamentals, covering invocation models, service integrations, and event-driven design. Practical insights into hyper-scaling, instrumentation, and designing for failure empower readers to create robust, production-ready solutions. This guide covers core concepts of serverless computing, including optimizations, automation, and strategies to navigate potential pitfalls. It emphasizes AWS Lambda’s resiliency, scalability, and disaster recovery, using real-world examples to showcase best practices. Each chapter offers in-depth examples, edge computing scenarios, and proven patterns to help readers develop optimized serverless architectures. By the end, readers will gain a comprehensive understanding of AWS Lambda, equipping them to design sophisticated systems that meet modern cloud demands and drive innovation within their organizations. WHAT WILL YOU LEARN ● Gain a solid understanding of serverless architecture and how AWS Lambda fits into the serverless ecosystem. ● Learn the core components of AWS Lambda, from function creation and triggers to its role in cloud-native development. ● Discover techniques for leveraging Lambda’s automatic scaling to handle fluctuating workloads while optimizing costs. ● Learn best practices for creating resilient Lambda functions designed to withstand failures and ensure high availability. ● Apply industry-tested patterns, architectural best practices, and real-world scenarios to build robust, scalable, and cost-effective serverless applications with AWS Lambda. WHO IS THIS BOOK FOR? This book is for software developers, architects, and leaders looking to enhance their skills in the AWS serverless ecosystem and streamline distributed communication in their designs. Readers should have a solid understanding of distributed systems, microservices, inter-service communication patterns, and the pillars of high availability and reliability. TABLE OF CONTENTS 1. Introduction to Serverless Computing 2. AWS Lambda Basics 3. Invocation Models and Service Integrations 4. Event-Driven Design with Lambda 5. Hyper-Scaling with Lambda 6. Instrumenting Lambda 7. Resiliency and Design for Failure 8. Lambda-Less Design 9. Edge Computing 10. Patterns and Practices Index
Author: Mani Khanuja
Publisher: Packt Publishing Ltd
ISBN: 1803244445
Category : Computers
Languages : en
Pages : 382
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Book Description
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.
Author: Dhanushka Madushan
Publisher: Packt Publishing Ltd
ISBN: 1800206658
Category : Computers
Languages : en
Pages : 498
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Book Description
Learn how to build scalable cloud native applications with the new-generation Ballerina language using expert tips and best practices Key FeaturesWork with code samples based on the Ballerina Swan Lake Beta1 versionExplore the in-built networking protocol support in Ballerina to develop secure distributed appsBuild a Ballerina app with an automated CI/CD pipeline with observability to simplify maintenance and deploymentBook Description The Ballerina programming language was created by WSO2 for the modern needs of developers where cloud native development techniques have become ubiquitous. Ballerina simplifies how programmers develop and deploy cloud native distributed apps and microservices. Cloud Native Applications with Ballerina will guide you through Ballerina essentials, including variables, types, functions, flow control, security, and more. You'll explore networking as an in-built feature in Ballerina, which makes it a first-class language for distributed computing. With this app development book, you'll learn about different networking protocols as well as different architectural patterns that you can use to implement services on the cloud. As you advance, you'll explore multiple design patterns used in microservice architecture and use serverless in Amazon Web Services (AWS) and Microsoft Azure platforms. You will also get to grips with Docker, Kubernetes, and serverless platforms to simplify maintenance and the deployment process. Later, you'll focus on the Ballerina testing framework along with deployment tools and monitoring tools to build fully automated observable cloud applications. By the end of this book, you will have learned how to apply the Ballerina language for building scalable, resilient, secured, and easy-to-maintain cloud native Ballerina projects and applications. What you will learnUnderstand the concepts and models in cloud native architectureGet to grips with the high-level concepts of building applications with the Ballerina languageUse cloud native architectural design patterns to develop cloud native Ballerina applicationsDiscover how to automate, maintain, and observe cloud native Ballerina applicationsUse a container to deploy and maintain a Ballerina application with Docker and KubernetesExplore serverless architecture and use Microsoft Azure and the AWS platform to build serverless applicationsWho this book is for This Ballerina Swan Lake book is for cloud developers, integration developers, and microservices developers who are facing challenges with legacy tooling and are looking for the latest tools and technologies to solve them. Beginner-level programming knowledge is required before getting started with this Ballerina book.
Author: Thomas Smart
Publisher: Partridge Publishing Singapore
ISBN: 1543761666
Category : Technology & Engineering
Languages : en
Pages : 287
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Book Description
This book describes how Serverless and cloud-native systems work, their benefits and roles in automating and optimising organisations, and the challenges to be considered. Anyone interested in Serverless architecture will benefit from this book regardless of their level of technical understanding. 'Serverless - Beyond the buzzword' explains many related terms such as microservices, cloud-native, architecture, several relevant AWS services and how it all works together to produce cost-effective, scalable solutions in the cloud. For the less-technical decisionmaker, an essential part of the book is that it helps you understand how Serverless might affect finance, security, people and compliance. It touches on important decisions, such as selecting and working with external or internal specialists and teams, finding them, evaluating, training, and the flexibility and dynamics within digital projects. Deployment automation and DevOps also feature heavily in this book, and towards the end of the book, you can find some real use cases and examples of Serverless architecture to get you started. It's worth noting that this book is not a development guide; it gives you a comprehensive understanding of what Serverless is so you can make informed decisions for your organisation and projects.
Author: Adam Jones
Publisher: Walzone Press
ISBN:
Category : Computers
Languages : en
Pages : 163
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Book Description
"Advanced AWS Lambda: Comprehensive Guide to Serverless Computing" is an essential resource for developers, system administrators, and IT professionals eager to leverage the full power of serverless computing through AWS Lambda. Whether you're a newcomer to AWS Lambda or looking to refine your expertise in serverless architecture, this book provides an exhaustive examination of AWS Lambda's potential, best practices, and sophisticated functionalities. Explore in-depth the foundational concepts of AWS Lambda, including triggers, event sources, security protocols, performance enhancement strategies, and cost management techniques. Gain insights into designing, deploying, and maintaining efficient, secure, and scalable serverless applications with practical examples, thorough explanations, and step-by-step guidance. The book delves into topics ranging from setting up your initial function to intricacies like integrating AWS Lambda with other AWS services, troubleshooting common problems, and architecting complex serverless solutions. With "Advanced AWS Lambda," you'll unlock the vast possibilities of serverless computing, minimize operational overhead, and construct applications that are scalable, reliable, and cost-effective. Embark on your journey to mastering AWS Lambda and revolutionize the way you develop and deploy applications in the cloud.
Author: John Chapin
Publisher: O'Reilly Media
ISBN: 1492041025
Category : Computers
Languages : en
Pages : 278
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Book Description
Serverless revolutionizes the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their experience in the new world of serverless computing. You’ll discover how this cloud computing execution model can drastically decrease the complexity in developing and operating applications while reducing costs and time to market. Engineering leaders John Chapin and Mike Roberts guide you through the process of developing these applications using AWS Lambda, Amazon’s event-driven, serverless computing platform. You’ll learn how to prepare the development environment, program Lambda functions, and deploy and operate your serverless software. The chapters include exercises to help you through each aspect of the process. Get an introduction to serverless, functions as a service, and AWS Lambda Learn how to deploy working Lambda functions to the cloud Program Lambda functions and learn how the Lambda platform integrates with other AWS services Build and package Java-based Lambda code and dependencies Create serverless applications by building a serverless API and data pipeline Test your serverless applications using automated techniques Apply advanced techniques to build production-ready applications Understand both the gotchas and new opportunities of serverless architecture
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031540530
Category :
Languages : en
Pages : 721
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Book Description
Author: Anshul Saxena
Publisher: Packt Publishing Ltd
ISBN: 1804614874
Category : Business & Economics
Languages : en
Pages : 292
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Book Description
Achieve optimized solutions for real-world financial problems using quantum machine learning algorithms Key Features Learn to solve financial analysis problems by harnessing quantum power Unlock the benefits of quantum machine learning and its potential to solve problems Train QML to solve portfolio optimization and risk analytics problems Book DescriptionQuantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems. This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you’ll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing. By the end of this book, you’ll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.What you will learn Explore framework, model and technique deployed for Quantum Computing Understand the role of QC in financial modeling and simulations Apply Qiskit and Pennylane framework for financial modeling Build and train models using the most well-known NISQ algorithms Explore best practices for writing QML algorithms Use QML algorithms to understand and solve data mining problems Who this book is for This book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.
