Lambda Update

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Programming AWS Lambda

Author : John Chapin
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492041009
Total Pages : 268 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Programming AWS Lambda by : John Chapin

Download or read book Programming AWS Lambda written by John Chapin and published by "O'Reilly Media, Inc.". This book was released on 2020-03-18 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Network Programming with Go

Author : Adam Woodbeck
Publisher : No Starch Press
ISBN 13 : 1718500882
Total Pages : 392 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis Network Programming with Go by : Adam Woodbeck

Download or read book Network Programming with Go written by Adam Woodbeck and published by No Starch Press. This book was released on 2021-03-25 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network Programming with Go teaches you how to write clean, secure network software with the programming language designed to make it seem easy. Build simple, reliable, network software Combining the best parts of many other programming languages, Go is fast, scalable, and designed for high-performance networking and multiprocessing. In other words, it’s perfect for network programming. Network Programming with Go will help you leverage Go to write secure, readable, production-ready network code. In the early chapters, you’ll learn the basics of networking and traffic routing. Then you’ll put that knowledge to use as the book guides you through writing programs that communicate using TCP, UDP, and Unix sockets to ensure reliable data transmission. As you progress, you’ll explore higher-level network protocols like HTTP and HTTP/2 and build applications that securely interact with servers, clients, and APIs over a network using TLS. You'll also learn: Internet Protocol basics, such as the structure of IPv4 and IPv6, multicasting, DNS, and network address translation Methods of ensuring reliability in socket-level communications Ways to use handlers, middleware, and multiplexers to build capable HTTP applications with minimal code Tools for incorporating authentication and encryption into your applications using TLS Methods to serialize data for storage or transmission in Go-friendly formats like JSON, Gob, XML, and protocol buffers Ways of instrumenting your code to provide metrics about requests, errors, and more Approaches for setting up your application to run in the cloud (and reasons why you might want to) Network Programming with Go is all you’ll need to take advantage of Go’s built-in concurrency, rapid compiling, and rich standard library. Covers Go 1.15 (Backward compatible with Go 1.12 and higher)

AWS Cloud Engineer Guide

Author : Sizwe Molefe
Publisher : BPB Publications
ISBN 13 : 9365899753
Total Pages : 396 pages
Book Rating : 4.3/5 (658 download)

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Book Synopsis AWS Cloud Engineer Guide by : Sizwe Molefe

Download or read book AWS Cloud Engineer Guide written by Sizwe Molefe and published by BPB Publications. This book was released on 2024-09-27 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Cloud computing provides a more efficient, reliable, secure, and cost-effective way to run applications. Cloud computing offers customers access to rapidly growing amounts of data storage and computation resources while centralizing IT operations in the cloud provider's datacenter or in colocation data centers. Understand AWS basics such as EC2, VPCs, S3, and IAM while learning to design secure and scalable cloud architectures. This book guides you through automating infrastructure with CloudFormation and exploring advanced topics like containers, continuous integration and continuous delivery (CI/CD) pipelines, and cloud migration. You will also discover serverless computing with Lambda, API Gateway, and DynamoDB, enabling you to build efficient, modern applications. With real-world examples and best practices, this resource helps you optimize your AWS environment for both performance and cost, ensuring you can build and maintain robust cloud solutions. By the end of this book, you will be able to confidently design, build, and operate scalable and secure cloud solutions on AWS. Gain the expertise to leverage the full potential of cloud computing and drive innovation in your organization. KEY FEATURES ● Learn about AWS cloud in-depth with real-world examples and scenarios. ● Expand your understanding of serverless and containerization compute technology on AWS. ● Explore API’s along with API Gateway and its different use cases. WHAT YOU WILL LEARN ● How to get started with and launch EC2 instances. ● Working with and simplifying VPC’s, security groups, and network access control lists on AWS. ● Learn how to secure your AWS environment through the use of IAM roles and policies. ● Learn how to build scalable and fault-tolerant database systems using AWS database services such as RDS and Aurora. ● Learn how to set up a CI/CD pipeline on AWS. WHO THIS BOOK IS FOR Whether you are a system administrator, cloud architect, solutions architect, cloud engineer, DevOps engineer, security engineer, or cloud professional, this book provides valuable insights and practical guidance to help you build and operate robust cloud solutions on AWS. TABLE OF CONTENTS 1. Creating an AWS Environment 2. Amazon Elastic Compute Cloud 3. Amazon Virtual Private Cloud 4. Amazon S3: Simple Storage Service 5. Amazon API Gateway 6. AWS Database Services 7. Elastic Load Balancing and Auto Scaling 8. Amazon Route 53 9. Decouple Applications 10. CloudFormation 11. AWS Monitoring 12. AWS Security and Encryption 13. AWS Containers 14. Automating Deployments with CI/CD in AWS 15. AWS Cloud Migrations

Modelling and implementation of a microscopic traffic simulation system

Author : Johannes Brügmann
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832541330
Total Pages : 242 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Modelling and implementation of a microscopic traffic simulation system by : Johannes Brügmann

Download or read book Modelling and implementation of a microscopic traffic simulation system written by Johannes Brügmann and published by Logos Verlag Berlin GmbH. This book was released on 2015-11-16 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents the foundations, the initial state, and the progress made in modelling and implementing a real-world and real-time online microscopic traffic simulation system for highway traffic. To successfully model and implement such a simulation system, this thesis recommends the use of a number of formal methods applied at the right places. As part of the recommendation, this thesis proposes a microscopic traffic simulation system. To explore the feasibility and the potential of the recommended methods, it observes and examines the proposed system from multiple views and under various different aspects. As part of the examination, this thesis provides a (semi-)formal specification, a model implementation, an implementation of a productive system, and the benefits that result from validating such a system. The results and any proper application of them have the potential to increase the reliability and the trustworthiness for any future implementation of the proposed simulation system. The presented results additionally motivate to apply the proposed approach to similar simulation systems. The thesis concludes the presentation of the results with some considerations for future implementations.

Programming AWS Lambda

Author : John Chapin
Publisher : O'Reilly Media
ISBN 13 : 1492041025
Total Pages : 278 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Programming AWS Lambda by : John Chapin

Download or read book Programming AWS Lambda written by John Chapin and published by O'Reilly Media. This book was released on 2020-03-18 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

A Concise Introduction to Machine Learning

Author : A.C. Faul
Publisher : CRC Press
ISBN 13 : 1351204742
Total Pages : 335 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis A Concise Introduction to Machine Learning by : A.C. Faul

Download or read book A Concise Introduction to Machine Learning written by A.C. Faul and published by CRC Press. This book was released on 2019-08-01 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques. The author's webpage for the book can be accessed here.

AIDS and the Law

Author : Allan H. Terl
Publisher : Taylor & Francis
ISBN 13 : 9781560322191
Total Pages : 212 pages
Book Rating : 4.3/5 (221 download)

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Book Synopsis AIDS and the Law by : Allan H. Terl

Download or read book AIDS and the Law written by Allan H. Terl and published by Taylor & Francis. This book was released on 1992 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for those who have no legal training, but who are interested in the legal aspects of AIDS, this work relates how AIDS and the human immuno- deficiency virus HIV have affected some legal isues. Discrimination permeates the issue and specific cases are cited.

Pipeline as Code

Author : Mohamed Labouardy
Publisher : Simon and Schuster
ISBN 13 : 163835037X
Total Pages : 750 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Pipeline as Code by : Mohamed Labouardy

Download or read book Pipeline as Code written by Mohamed Labouardy and published by Simon and Schuster. This book was released on 2021-11-23 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: Start thinking about your development pipeline as a mission-critical application. Discover techniques for implementing code-driven infrastructure and CI/CD workflows using Jenkins, Docker, Terraform, and cloud-native services. In Pipeline as Code, you will master: Building and deploying a Jenkins cluster from scratch Writing pipeline as code for cloud-native applications Automating the deployment of Dockerized and Serverless applications Containerizing applications with Docker and Kubernetes Deploying Jenkins on AWS, GCP and Azure Managing, securing and monitoring a Jenkins cluster in production Key principles for a successful DevOps culture Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You’ll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Follow this book's insightful best practices, and you’ll soon be delivering software that’s quicker to market, faster to deploy, and with less last-minute production bugs. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Treat your CI/CD pipeline like the real application it is. With the Pipeline as Code approach, you create a collection of scripts that replace the tedious web UI wrapped around most CI/CD systems. Code-driven pipelines are easy to use, modify, and maintain, and your entire CI pipeline becomes more efficient because you directly interact with core components like Jenkins, Terraform, and Docker. About the book In Pipeline as Code you’ll learn to build reliable CI/CD pipelines for cloud-native applications. With Jenkins as the backbone, you’ll programmatically control all the pieces of your pipeline via modern APIs. Hands-on examples include building CI/CD workflows for distributed Kubernetes applications, and serverless functions. By the time you’re finished, you’ll be able to swap manual UI-based adjustments with a fully automated approach! What's inside Build and deploy a Jenkins cluster on scale Write pipeline as code for cloud-native applications Automate the deployment of Dockerized and serverless applications Deploy Jenkins on AWS, GCP, and Azure Grasp key principles of a successful DevOps culture About the reader For developers familiar with Jenkins and Docker. Examples in Go. About the author Mohamed Labouardy is the CTO and co-founder of Crew.work, a Jenkins contributor, and a DevSecOps evangelist. Table of Contents PART 1 GETTING STARTED WITH JENKINS 1 What’s CI/CD? 2 Pipeline as code with Jenkins PART 2 OPERATING A SELF-HEALING JENKINS CLUSTER 3 Defining Jenkins architecture 4 Baking machine images with Packer 5 Discovering Jenkins as code with Terraform 6 Deploying HA Jenkins on multiple cloud providers PART 3 HANDS-ON CI/CD PIPELINES 7 Defining a pipeline as code for microservices 8 Running automated tests with Jenkins 9 Building Docker images within a CI pipeline 10 Cloud-native applications on Docker Swarm 11 Dockerized microservices on K8s 12 Lambda-based serverless functions PART 4 MANAGING, SCALING, AND MONITORING JENKINS 13 Collecting continuous delivery metrics 14 Jenkins administration and best practices

Hands-On Chatbot Development with Alexa Skills and Amazon Lex

Author : Sam Williams
Publisher : Packt Publishing Ltd
ISBN 13 : 1788992431
Total Pages : 254 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Hands-On Chatbot Development with Alexa Skills and Amazon Lex by : Sam Williams

Download or read book Hands-On Chatbot Development with Alexa Skills and Amazon Lex written by Sam Williams and published by Packt Publishing Ltd. This book was released on 2018-09-28 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will help you to discover important AWS services such as S3 and DyanmoDB. Gain practical experience building end-to-end application workflows using NodeJS and AWS Lambda for your Alexa Skills Kit. You will be able to build conversational interfaces using voice or text and deploy them to platforms like Alexa, Facebook Messenger and Slack.

Mastering Terraform

Author : Mark Tinderholt
Publisher : Packt Publishing Ltd
ISBN 13 : 1835088961
Total Pages : 494 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Mastering Terraform by : Mark Tinderholt

Download or read book Mastering Terraform written by Mark Tinderholt and published by Packt Publishing Ltd. This book was released on 2024-07-26 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn from Terraform expert Mark Tinderholt and excel in designing and automating your infrastructure and CI/CD pipelines with Terraform across major cloud platforms and paradigms Key Features Build comprehensive end-to-end solutions with Terraform using VMs, Kubernetes, and Serverless Integrate Terraform with other HashiCorp products and common tools such as Packer, Docker, Kubernetes, and Helm Streamline your operations using Gitflow powered by GitHub Actions CI/CD pipelines Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAdvancements made in cloud technology and automation tools have led to increased challenges in defining and managing your infrastructure or app environment as code on your chosen cloud platform, integrating security, managing microservices complexity, and so on. This book takes a learning-by-doing approach to teach you how to employ Terraform features to develop efficient cloud infrastructure using real-world scenarios and best practices. The book begins by introducing you to Terraform's architecture, both as a command-line tool and a programming language, HashiCorp Configuration Language (HCL). You’ll discover best practices, usage, and architectural patterns and implement Terraform on virtual machines (VMs), Docker/Kubernetes, serverless, and multiple cloud platforms such as AWS, Azure, and GCP. The chapters also show you how to industrialize your CI/CD pipeline by integrating Terraform with other popular technologies to build, provision, deploy, and manage cloud infrastructure. You’ll gain a clear understanding of security, monitoring, troubleshooting, and cost optimization and be able to apply the concepts you’ve learned when preparing for Terraform Associate certification exams. By the end of this book, you’ll be equipped to confidently build, automate, and deliver your infrastructure and CI/CD pipelines in cloud-based applications.What you will learn Explore Terraform architecture and configurations in depth Integrate Packer with Terraform for VM-based solutions Containerize apps with Docker and Kubernetes Explore GitOps and CI/CD deployment patterns Transform existing applications into serverless architectures Migrate and modernize legacy apps for the cloud Implement Terraform on AWS, Azure, and GCP Use Terraform with teams of varying size and responsibility Who this book is for This book is for Devops engineers, cloud engineers, platform engineers, infrastructure engineers, site reliability engineers, developers, and cloud architects who want to utilize Terraform to automate their cloud infrastructures and streamline software delivery. Prior knowledge of cloud architecture, infrastructure, and platforms, as well as Terraform basics, will help you understand the topics present in this book.

Programming Languages and Systems

Author : Pierpaolo Degano
Publisher : Springer
ISBN 13 : 3540365753
Total Pages : 428 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Programming Languages and Systems by : Pierpaolo Degano

Download or read book Programming Languages and Systems written by Pierpaolo Degano and published by Springer. This book was released on 2003-07-01 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th European Symposium on Programming, ESOP 2003, held in Warsaw, Poland, in April 2003. The 25 revised full papers presented together with two invited papers were carefully reviewed and selected from 99 submissions. Among the topics addressed are programming paradigms and their integration, program semantics, calculi of computation, security, advanced type systems, program analysis, program transformation, and practical algorithms based on theoretical developments.

The Scheme Programming Language, fourth edition

Author : R. Kent Dybvig
Publisher : MIT Press
ISBN 13 : 026251298X
Total Pages : 505 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis The Scheme Programming Language, fourth edition by : R. Kent Dybvig

Download or read book The Scheme Programming Language, fourth edition written by R. Kent Dybvig and published by MIT Press. This book was released on 2009-07-31 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thoroughly updated and expanded edition brings this popular introductory text and reference up to date with the current Scheme standard, the Revised6 Report on Scheme. Scheme is a general-purpose programming language, descended from Algol and Lisp, widely used in computing education and research and a broad range of industrial applications. This thoroughly updated edition of The Scheme Programming Language provides an introduction to Scheme and a definitive reference for standard Scheme, presented in a clear and concise manner. Written for professionals and students with some prior programming experience, it begins by leading the programmer gently through the basics of Scheme and continues with an introduction to some of the more advanced features of the language. The fourth edition has been substantially revised and expanded to bring the content up to date with the current Scheme standard, the Revised6 Report on Scheme. All parts of the book were updated and three new chapters were added, covering the language's new library, exception handling, and record-definition features. The book offers three chapters of introductory material with numerous examples, eight chapters of reference material, and one chapter of extended examples and additional exercises. All of the examples can be entered directly from the keyboard into an interactive Scheme session. Answers to many of the exercises, a complete formal syntax of Scheme, and a summary of forms and procedures are provided in appendixes. The Scheme Programming Language is the only book available that serves both as an introductory text in a variety of courses and as an essential reference for Scheme programmers.

Cloud Native Applications with Ballerina

Author : Dhanushka Madushan
Publisher : Packt Publishing Ltd
ISBN 13 : 1800206658
Total Pages : 498 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Cloud Native Applications with Ballerina by : Dhanushka Madushan

Download or read book Cloud Native Applications with Ballerina written by Dhanushka Madushan and published by Packt Publishing Ltd. This book was released on 2021-10-29 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AWS Certified Developer Official Study Guide, Associate Exam

Author : Nick Alteen
Publisher : John Wiley & Sons
ISBN 13 : 1119508215
Total Pages : 995 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis AWS Certified Developer Official Study Guide, Associate Exam by : Nick Alteen

Download or read book AWS Certified Developer Official Study Guide, Associate Exam written by Nick Alteen and published by John Wiley & Sons. This book was released on 2019-08-22 with total page 995 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword by Werner Vogels, Vice President and Corporate Technology Officer, Amazon The AWS exam has been updated. Your study guide should be, too. The AWS Certified Developer Official Study Guide–Associate Exam is your ultimate preparation resource for the latest exam! Covering all exam objectives, this invaluable resource puts a team of AWS experts at your side with expert guidance, clear explanations, and the wisdom of experience with AWS best practices. You’ll master core services and basic architecture, and equip yourself to develop, deploy, and debug cloud-based applications using AWS. The AWS Developer certification is earned by those who demonstrate the technical knowledge and skill associated with best practices for building secure, reliable cloud-based applications using AWS technology. This book is your official exam prep companion, providing everything you need to know to pass with flying colors. Study the AWS Certified Developer Exam objectives Gain expert insight on core AWS services and best practices Test your understanding of key concepts with challenging chapter questions Access online study tools including electronic flashcards, a searchable glossary, practice exams, and more Cloud computing offers businesses the opportunity to replace up-front capital infrastructure expenses with low, variable costs that scale as they grow. This customized responsiveness has negated the need for far-future infrastructure planning, putting thousands of servers at their disposal as needed—and businesses have responded, propelling AWS to the number-one spot among cloud service providers. Now these businesses need qualified AWS developers, and the AWS certification validates the exact skills and knowledge they’re looking for. When you’re ready to get serious about your cloud credentials, the AWS Certified Developer Official Study Guide–Associate Exam is the resource you need to pass the exam with flying colors. NOTE: As of October 7, 2019, the accompanying code for hands-on exercises in the book is available for downloading from the secure Resources area in the online test bank. You'll find code for Chapters 1, 2, 11, and 12.

Mastering AWS Serverless

Author : Miguel A. Calles
Publisher : BPB Publications
ISBN 13 : 9355516118
Total Pages : 532 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Mastering AWS Serverless by : Miguel A. Calles

Download or read book Mastering AWS Serverless written by Miguel A. Calles and published by BPB Publications. This book was released on 2024-04-29 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of designing and creating serverless architectures and applications KEY FEATURES ● Learn to create serverless applications that leverage serverless functions, databases, data stores, and application programming interfaces. ● Learn the serverless concepts needed to provide serverless solutions for websites, mobile apps, APIs, backends, notifications, Artificial Intelligence, and Machine Learning. ● Create serverless, event-driven architectures and designs through hands-on exercises throughout the book. DESCRIPTION Serverless computing is relatively new compared to server-based designs. Amazon Web Services launched its serverless computing offering by introducing AWS Lambda. Lambda has introduced a revolution in cloud computing, where servers could be excluded from architectures, and events could be used to trigger other resources. The AWS serverless services have allowed developers, startups, and large enterprises to focus more on developing and creating features and spend less time managing and securing servers. It covers key concepts like serverless architecture and AWS services. You will learn to create event-driven apps, launch websites, and build APIs with hands-on exercises. The book will explore storage options and data processing, including serverless Machine Learning. Discover best practices for architecture, security, and cost optimization. The book will cover advanced topics like AWS SAM and Lambda layers for complex workflows. Finally, get guidance on creating new serverless apps and migrating existing ones. The knowledge gained from this book will help you create a serverless website, application programming interface, and backend. In addition, the information covered in the book will help you process and analyze data using a serverless design. WHAT YOU WILL LEARN ● Creating a serverless website using Amazon S3 and CloudFront. ● Creating a serverless API using Amazon API Gateway. ● Create serverless functions with AWS Lambda. ● Save data using Amazon DynamoDB and Amazon S3. ● Perform authentication and authorization with Amazon Cognito. WHO THIS BOOK IS FOR The book targets professionals and students who want to gain experience in software development, cloud computing, web development, data processing, or Amazon Web Services. It is ideal for cloud architects, developers, and backend engineers seeking to leverage serverless services for scalable and cost-effective applications. TABLE OF CONTENTS 1. Introduction to AWS Serverless 2. Overview of Serverless Applications 3. Designing Serverless Architectures 4. Launching a Website 5. Creating an API 6. Saving and Using Data 7. Adding Authentication and Authorization 8. Processing Data using Automation and Machine Learning 9. Sending Notifications 10. Additional Automation Topics 11. Architecture Best Practices 12. Next Steps

Scala:Applied Machine Learning

Author : Pascal Bugnion
Publisher : Packt Publishing Ltd
ISBN 13 : 178712455X
Total Pages : 1265 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis Scala:Applied Machine Learning by : Pascal Bugnion

Download or read book Scala:Applied Machine Learning written by Pascal Bugnion and published by Packt Publishing Ltd. This book was released on 2017-02-23 with total page 1265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest features About This Book Build functional, type-safe routines to interact with relational and NoSQL databases with the help of the tutorials and examples provided Leverage your expertise in Scala programming to create and customize your own scalable machine learning algorithms Experiment with different techniques; evaluate their benefits and limitations using real-world financial applications Get to know the best practices to incorporate new Big Data machine learning in your data-driven enterprise and gain future scalability and maintainability Who This Book Is For This Learning Path is for engineers and scientists who are familiar with Scala and want to learn how to create, validate, and apply machine learning algorithms. It will also benefit software developers with a background in Scala programming who want to apply machine learning. What You Will Learn Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations Deploy scalable parallel applications using Apache Spark, loading data from HDFS or Hive Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters Apply key learning strategies to perform technical analysis of financial markets Understand the principles of supervised and unsupervised learning in machine learning Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet Construct reliable and robust data pipelines and manage data in a data-driven enterprise Implement scalable model monitoring and alerts with Scala In Detail This Learning Path aims to put the entire world of machine learning with Scala in front of you. Scala for Data Science, the first module in this course, is a tutorial guide that provides tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed building data science and data engineering solutions. The second course, Scala for Machine Learning guides you through the process of building AI applications with diagrams, formal mathematical notation, source code snippets, and useful tips. A review of the Akka framework and Apache Spark clusters concludes the tutorial. The next module, Mastering Scala Machine Learning, is the final step in this course. It will take your knowledge to next level and help you use the knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. By the end of this course, you will be a master at Scala machine learning and have enough expertise to be able to build complex machine learning projects using Scala. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Scala for Data Science, Pascal Bugnion Scala for Machine Learning, Patrick Nicolas Mastering Scala Machine Learning, Alex Kozlov Style and approach A tutorial with complete examples, this course will give you the tools to start building useful data engineering and data science solutions straightaway. This course provides practical examples from the field on how to correctly tackle data analysis problems, particularly for modern Big Data datasets.

Scala for Machine Learning

Author : Patrick R. Nicolas
Publisher : Packt Publishing Ltd
ISBN 13 : 178712620X
Total Pages : 740 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis Scala for Machine Learning by : Patrick R. Nicolas

Download or read book Scala for Machine Learning written by Patrick R. Nicolas and published by Packt Publishing Ltd. This book was released on 2017-09-26 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage Scala and Machine Learning to study and construct systems that can learn from data About This Book Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and updated source code in Scala Take your expertise in Scala programming to the next level by creating and customizing AI applications Experiment with different techniques and evaluate their benefits and limitations using real-world applications in a tutorial style Who This Book Is For If you're a data scientist or a data analyst with a fundamental knowledge of Scala who wants to learn and implement various Machine learning techniques, this book is for you. All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book! What You Will Learn Build dynamic workflows for scientific computing Leverage open source libraries to extract patterns from time series Write your own classification, clustering, or evolutionary algorithm Perform relative performance tuning and evaluation of Spark Master probabilistic models for sequential data Experiment with advanced techniques such as regularization and kernelization Dive into neural networks and some deep learning architecture Apply some basic multiarm-bandit algorithms Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters Apply key learning strategies to a technical analysis of financial markets In Detail The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering design, logistics, manufacturing, and trading strategies, to detection of genetic anomalies. The book is your one stop guide that introduces you to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits. You start by learning data preprocessing and filtering techniques. Following this, you'll move on to unsupervised learning techniques such as clustering and dimension reduction, followed by probabilistic graphical models such as Naive Bayes, hidden Markov models and Monte Carlo inference. Further, it covers the discriminative algorithms such as linear, logistic regression with regularization, kernelization, support vector machines, neural networks, and deep learning. You'll move on to evolutionary computing, multibandit algorithms, and reinforcement learning. Finally, the book includes a comprehensive overview of parallel computing in Scala and Akka followed by a description of Apache Spark and its ML library. With updated codes based on the latest version of Scala and comprehensive examples, this book will ensure that you have more than just a solid fundamental knowledge in machine learning with Scala. Style and approach This book is designed as a tutorial with hands-on exercises using technical analysis of financial markets and corporate data. The approach of each chapter is such that it allows you to understand key concepts easily.