Aws Lambda Quick Start Guide

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AWS Lambda Quick Start Guide

Author : Markus Klems
Publisher : Packt Publishing Ltd
ISBN 13 : 1789340608
Total Pages : 178 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis AWS Lambda Quick Start Guide by : Markus Klems

Download or read book AWS Lambda Quick Start Guide written by Markus Klems and published by Packt Publishing Ltd. This book was released on 2018-06-29 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover techniques and tools for building serverless applications with AWS Lambda Key Features Learn to write, run, and deploy Lambda functions in the AWS cloud Make the most of AWS Lambda functions to build scalable and cost-efficient systems A practical guide to developing serverless services and applications in Node.js, Java, Python, and C# Book Description AWS Lambda is a part of AWS that lets you run your code without provisioning or managing servers. This enables you to deploy applications and backend services that operate with no upfront cost. This book gets you up to speed on how to build scalable systems and deploy serverless applications with AWS Lambda. The book starts with the fundamental concepts of AWS Lambda, and then teaches you how to combine your applications with other AWS services, such as AmazonAPI Gateway and DynamoDB. This book will also give a quick walk through on how to use the Serverless Framework to build larger applications that can structure code or autogenerate boilerplate code that can be used to get started quickly for increased productivity. Toward the end of the book, you will learn how to write, run, and test Lambda functions using Node.js, Java, Python, and C#. What you will learn Understand the fundamental concepts of AWS Lambda Get to grips with the Serverless Framework and how to create a serverless project Testing and debugging Lambda functions Create a stateful, serverless backend with DynamoDB Program AWS Lambda with Java, Python, and C# Program a lambda function with Node.js Who this book is for This book is primarily for IT architects and developers who want to build scalable systems and deploy serverless applications with AWS Lambda. No prior knowledge of AWS is necessary.

AWS Lambda Quick Start Guide

Author : Markus Klems
Publisher : Packt Publishing Ltd
ISBN 13 : 1789340608
Total Pages : 178 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis AWS Lambda Quick Start Guide by : Markus Klems

AWS Lambda

Author : Curt Andrews
Publisher : Independently Published
ISBN 13 : 9781081117528
Total Pages : 82 pages
Book Rating : 4.1/5 (175 download)

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Book Synopsis AWS Lambda by : Curt Andrews

Download or read book AWS Lambda written by Curt Andrews and published by Independently Published. This book was released on 2019-07-17 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quickstart guide for AWS Amazon Web Services LambdaAWS Lambda is an incredibly versatile and powerful platform, but only if you know how to use it! Need to learn AWS Lambda fast?AWS Lambda is a serverless, event-driven cloud platform. With Lambda, your computing resources are as big as your imagination! Lower your infrastructure costs while deploying systems and applications that are infinitely scalable. Learn how to design and then build Lambda functions and master AWS Lambda with actual code and examples contained in this book. When you understand how to use Amazon Web Services and AWS Lambda specifically, you unlock a world of computing power and possibilities. Get the most out of AWS Lambda simply by following the easy instructions fully explained inside this guide. It doesn't matter if you have never used AWS before. This step-by-step guide gives you everything you need to know to do more with AWS Lambda than you ever thought possible!Fully up to dateThe world of cloud computing is changing constantly and yesterday's instructions are useless today. Save yourself the headache and frustration of trying to use a guide that just doesn't work anymore! Brand new and up to date, this guide shows you exactly what you need to do to get up and running on AWS Lambda today!Here is a preview of what you will learn in this guide: What is AWS Lambda? Why use AWS Lambda? How to begin using AWS Lambda Familiarizing yourself with the Serverless Framework Defining core concepts in the Serverless Framework Installing the Serverless Framework Setting Up Credentials Creating Amazon Web Services Access Keys Using Amazon Web Services Access Keys Quick Setup Using Amazon Web Services Profiles to Set up Using Services, Functions, and Events Services Functions Events Deployment Samples and Implementation And so much more! If you aren't a tech-savvy person, have no fear! With this guide in your hands that will not be a barrier for you any longer. Learn AWS Lambda quickly and easily when you grab this guide now!

Amazon Fargate Quick Start Guide

Author : Deepak Vohra
Publisher : Packt Publishing Ltd
ISBN 13 : 1789340055
Total Pages : 183 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Amazon Fargate Quick Start Guide by : Deepak Vohra

Download or read book Amazon Fargate Quick Start Guide written by Deepak Vohra and published by Packt Publishing Ltd. This book was released on 2018-07-24 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gets you started and gives you knowledge about AWS Fargate in order to successfully incorporate it in your ECS container application. Key Features Gives you a quick walk-through over the Amazon Elastic Container Services (ECS) Provides an in depth knowledge of the components that Amazon Fargate has to offer. Learn the practical aspects of Docker application development with a managed service Book Description Amazon Fargate is new launch type for the Amazon Elastic Container Service (ECS). ECS is an AWS service for Docker container orchestration. Docker is the de facto containerization framework and has revolutionized packaging and deployment of software. The introduction of Fargate has made the ECS platform serverless. The book takes you through how Amazon Fargate runs ECS services composed of tasks and Docker containers and exposes the containers to the user. Fargate has simplified the ECS platform. We will learn how Fargate creates an Elastic Network Interface (ENI) for each task and how auto scaling can be enabled for ECS tasks. You will also learn about using an IAM policy to download Docker images and send logs to CloudWatch. Finally, by the end of this book, you will have learned about how to use ECS CLI to create an ECS cluster and deploy tasks with Docker Compose. What you will learn Running Docker containers with a managed service Use Amazon ECS in Fargate launch mode Configure CloudWatch Logging with Fargate Use an IAM Role with Fargate Understand how ECS CLI is used with Fargate Learn how to use an Application Load Balancer with Fargate Learn about Auto Scaling with Fargate Who this book is for This book is for Docker users and developers who want to learn about the Fargate platform. Typical job roles for which the book is suitable are DevOps Architect, Docker Engineer, and AWS Cloud Engineer. Prior knowledge of AWS and ECS is helpful but not mandatory.

Datadog Cloud Monitoring Quick Start Guide

Author : Thomas Kurian Theakanath
Publisher : Packt Publishing Ltd
ISBN 13 : 1800563574
Total Pages : 318 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Datadog Cloud Monitoring Quick Start Guide by : Thomas Kurian Theakanath

Download or read book Datadog Cloud Monitoring Quick Start Guide written by Thomas Kurian Theakanath and published by Packt Publishing Ltd. This book was released on 2021-06-25 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to rolling out Datadog to monitor infrastructure and applications running in both cloud and datacenter environments Key FeaturesLearn Datadog to proactively monitor your infrastructure and cloud servicesUse Datadog as a platform for aggregating monitoring efforts in your organizationLeverage Datadog's alerting service to implement on-call and site reliability engineering (SRE) processesBook Description Datadog is an essential cloud monitoring and operational analytics tool which enables the monitoring of servers, virtual machines, containers, databases, third-party tools, and application services. IT and DevOps teams can easily leverage Datadog to monitor infrastructure and cloud services, and this book will show you how. The book starts by describing basic monitoring concepts and types of monitoring that are rolled out in a large-scale IT production engineering environment. Moving on, the book covers how standard monitoring features are implemented on the Datadog platform and how they can be rolled out in a real-world production environment. As you advance, you'll discover how Datadog is integrated with popular software components that are used to build cloud platforms. The book also provides details on how to use monitoring standards such as Java Management Extensions (JMX) and StatsD to extend the Datadog platform. Finally, you'll get to grips with monitoring fundamentals, learn how monitoring can be rolled out using Datadog proactively, and find out how to extend and customize the Datadog platform. By the end of this Datadog book, you will have gained the skills needed to monitor your cloud infrastructure and the software applications running on it using Datadog. What you will learnUnderstand monitoring fundamentals, including metrics, monitors, alerts, and thresholdsImplement core monitoring requirements using Datadog featuresExplore Datadog's integration with cloud platforms and toolsExtend Datadog using custom scripting and standards such as JMX and StatsDDiscover how proactive monitoring can be rolled out using various Datadog featuresUnderstand how Datadog can be used to monitor microservices in both Docker and Kubernetes environmentsGet to grips with advanced Datadog features such as APM and Security MonitoringWho this book is for This book is for DevOps engineers, site reliability engineers (SREs), IT Production engineers, software developers and architects, cloud engineers, system administrators, and anyone looking to monitor and visualize their infrastructure and applications with Datadog. Basic working knowledge of cloud and infrastructure is useful. Working experience of Linux distribution and some scripting knowledge is required to fully take advantage of the material provided in the book.

Machine Learning with Go Quick Start Guide

Author : Michael Bironneau
Publisher : Packt Publishing Ltd
ISBN 13 : 1838551654
Total Pages : 159 pages
Book Rating : 4.8/5 (385 download)

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Book Synopsis Machine Learning with Go Quick Start Guide by : Michael Bironneau

Download or read book Machine Learning with Go Quick Start Guide written by Michael Bironneau and published by Packt Publishing Ltd. This book was released on 2019-05-31 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exemplify common ML methods such as Classification, Regression, and Clustering Key FeaturesYour handy guide to building machine learning workflows in Go for real-world scenariosBuild predictive models using the popular supervised and unsupervised machine learning techniquesLearn all about deployment strategies and take your ML application from prototype to production readyBook Description Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go. The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced. The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum. The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring. At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones. What you will learnUnderstand the types of problem that machine learning solves, and the various approachesImport, pre-process, and explore data with Go to make it ready for machine learning algorithmsVisualize data with gonum/plot and GophernotesDiagnose common machine learning problems, such as overfitting and underfittingImplement supervised and unsupervised learning algorithms using Go librariesBuild a simple web service around a model and use it to make predictionsWho this book is for This book is for developers and data scientists with at least beginner-level knowledge of Go, and a vague idea of what types of problem Machine Learning aims to tackle. No advanced knowledge of Go (and no theoretical understanding of the math that underpins Machine Learning) is required.

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)

Hands-On Genetic Algorithms with Python

Author : Eyal Wirsansky
Publisher : Packt Publishing Ltd
ISBN 13 : 180512157X
Total Pages : 419 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis Hands-On Genetic Algorithms with Python by : Eyal Wirsansky

Download or read book Hands-On Genetic Algorithms with Python written by Eyal Wirsansky and published by Packt Publishing Ltd. This book was released on 2024-07-12 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the ever-growing world of genetic algorithms to build and enhance AI applications involving search, optimization, machine learning, deep learning, NLP, and XAI using Python libraries Key Features Learn how to implement genetic algorithms using Python libraries DEAP, scikit-learn, and NumPy Take advantage of cloud computing technology to increase the performance of your solutions Discover bio-inspired algorithms such as particle swarm optimization (PSO) and NEAT Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by Eyal Wirsansky, a senior data scientist and AI researcher with over 25 years of experience and a research background in genetic algorithms and neural networks, Hands-On Genetic Algorithms with Python offers expert insights and practical knowledge to master genetic algorithms. After an introduction to genetic algorithms and their principles of operation, you’ll find out how they differ from traditional algorithms and the types of problems they can solve, followed by applying them to search and optimization tasks such as planning, scheduling, gaming, and analytics. As you progress, you’ll delve into explainable AI and apply genetic algorithms to AI to improve machine learning and deep learning models, as well as tackle reinforcement learning and NLP tasks. This updated second edition further expands on applying genetic algorithms to NLP and XAI and speeding up genetic algorithms with concurrency and cloud computing. You’ll also get to grips with the NEAT algorithm. The book concludes with an image reconstruction project and other related technologies for future applications. By the end of this book, you’ll have gained hands-on experience in applying genetic algorithms across a variety of fields, with emphasis on artificial intelligence with Python.What you will learn Use genetic algorithms to solve planning, scheduling, gaming, and analytics problems Create reinforcement learning, NLP, and explainable AI applications Enhance the performance of ML models and optimize deep learning architecture Deploy genetic algorithms using client-server architectures, enhancing scalability and computational efficiency Explore how images can be reconstructed using a set of semi-transparent shapes Delve into topics like elitism, niching, and multiplicity in genetic solutions to enhance optimization strategies and solution diversity Who this book is for If you’re a data scientist, software developer, AI enthusiast who wants to break into the world of genetic algorithms and apply them to real-world, intelligent applications as quickly as possible, this book is for you. Working knowledge of the Python programming language is required to get started with this book.

The Scalyr Guide to Getting Started Logging as Quickly as Possible

Author : Scalyr
Publisher : HitSubscribe
ISBN 13 :
Total Pages : 157 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Scalyr Guide to Getting Started Logging as Quickly as Possible by : Scalyr

Download or read book The Scalyr Guide to Getting Started Logging as Quickly as Possible written by Scalyr and published by HitSubscribe. This book was released on 2019-04-07 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the almost constant scaling of applications and environments, the need for good logging practices has likewise scaled exponentially. This book will help you understand the value of logging, the best practices for logs and introduce you to a number of tech stacks including languages and frameworks. It’s the ultimate resource for jumping into a new language or discovering new tricks in a familiar one. And you’ll learn the value that centralized logging brings on scale. All proceeds from this book will be donated by Scalyr to Girls Who Code

AWS Certified Cloud Practitioner Study Guide with Online Labs

Author : Ben Piper
Publisher : John Wiley & Sons
ISBN 13 : 1119756707
Total Pages : 304 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis AWS Certified Cloud Practitioner Study Guide with Online Labs by : Ben Piper

Download or read book AWS Certified Cloud Practitioner Study Guide with Online Labs written by Ben Piper and published by John Wiley & Sons. This book was released on 2020-07-28 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtual, hands-on learning labs allow you to apply your technical skills in realistic environments. So Sybex has bundled AWS labs from XtremeLabs with our popular AWS Certified Cloud Practitioner Study Guide to give you the same experience working in these labs as you prepare for the Certified Cloud Practitioner Exam that you would face in a real-life application. These labs in addition to the book are a proven way to prepare for the certification and for work as an AWS Cloud Practitioner. The AWS Certified Cloud Practitioner Study Guide: Exam CLF-C01 provides a solid introduction to this industry-leading technology, relied upon by thousands of businesses across the globe, as well as the resources you need to prove your knowledge in the AWS Certification Exam. This guide offers complete and thorough treatment of all topics included in the exam, beginning with a discussion of what the AWS cloud is and its basic global infrastructure and architectural principles. Other chapters dive into the technical, exploring core characteristics of deploying and operating in the AWS Cloud Platform, as well as basic security and compliance aspects and the shared security model. In addition, the text identifies sources of documentation or technical assistance, such as white papers or support tickets. To complete their coverage, the authors discuss the AWS Cloud value proposition and define billing, account management, and pricing models. This includes describing the key services AWS can provide and their common use cases (e.g., compute, analytics, etc.). Distinguish yourself as an expert by obtaining a highly desirable certification in a widely used platform Hone your skills and gain new insights on AWS whether you work in a technical, managerial, sales, purchasing, or financial field Fully prepare for this new exam using expert content and real-world knowledge, key exam essentials, chapter review questions, and other textual resources Benefit from access to the Sybex online interactive learning environment and test bank, including chapter tests, practice exams, key term glossary, and electronic flashcards XtremeLabs virtual labs that run from your browser. The registration code is included with the book and gives you 6 months unlimited access to XtremeLabs AWS Certified Cloud Practitioner Labs with 8 unique lab modules based on the book. The AWS Certified Cloud Practitioner Study Guide is essential reading for any professional in IT or other fields that work directly with AWS, soon-to-be graduates studying in those areas, or anyone hoping to prove themselves as an AWS Certified Cloud Practitioner.

AWS Certified Cloud Practitioner Study Guide With 500 Practice Test Questions

Author : Ben Piper
Publisher : John Wiley & Sons
ISBN 13 : 139423564X
Total Pages : 394 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis AWS Certified Cloud Practitioner Study Guide With 500 Practice Test Questions by : Ben Piper

Download or read book AWS Certified Cloud Practitioner Study Guide With 500 Practice Test Questions written by Ben Piper and published by John Wiley & Sons. This book was released on 2023-11-28 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distinguish yourself by becoming a certified AWS Cloud Practitioner In the newly revised second edition of AWS Certified Cloud Practitioner Study Guide: Foundational (CLF-C02) Exam, a team of veteran IT professionals and educators delivers an up-to-date and easy-to-follow introduction to Amazon’s industry-leading cloud technology and the introductory certification exam that demonstrates your understanding of it. Used by thousands of companies across the globe, Amazon Web Services (AWS) is an integral part of business IT operations at firms in virtually every industry and sector. In this book, you’ll prepare to pass the recently updated AWS Certification Exam and prove your knowledge of critical AWS cloud technologies and capabilities. You’ll find complete and thorough coverage of every topic included on the exam, from infrastructure to architecture and cybersecurity. You’ll also discover comprehensive discussions of the AWS Cloud value proposition, as well as billing, account management, and pricing models. After reading and completing the practice questions provided by this book, you’ll be able to: Distinguish yourself as an AWS expert by obtaining a highly sought-after certification in a popular cloud platform Hone your skills and gain new insights on AWS Cloud you can use in your own profession, whether you work in a technical, managerial, sales, purchasing, or financial role Fully prepare for and succeed on the new exam using expert content based on real-world knowledge, key exam essentials, and chapter review questions Access the Sybex online interactive learning environment and test bank, including hundreds of practice questions, a key term glossary, and electronic flashcards The AWS Certified AWS Certified Cloud Practitioner Study Guide is an essential resource for any IT professional that works directly with Amazon Web Services, as well as students in IT fields, and non-technical professionals who work with and alongside technical experts.

Data Science Quick Reference Manual - Advanced Machine Learning and Deployment

Author : Mario A. B. Capurso
Publisher : Mario Capurso
ISBN 13 :
Total Pages : 278 pages
Book Rating : 4./5 ( download)

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Book Synopsis Data Science Quick Reference Manual - Advanced Machine Learning and Deployment by : Mario A. B. Capurso

Download or read book Data Science Quick Reference Manual - Advanced Machine Learning and Deployment written by Mario A. B. Capurso and published by Mario Capurso. This book was released on 2023-09-08 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work follows the 2021 curriculum of the Association for Computing Machinery for specialists in Data Sciences, with the aim of producing a manual that collects notions in a simplified form, facilitating a personal training path starting from specialized skills in Computer Science or Mathematics or Statistics. It has a bibliography with links to quality material but freely usable for your own training and contextual practical exercises. Part in a series of texts, it first summarizes the standard CRISP DM working methodology used in this work and in Data Science projects. As this text uses Orange for the application aspects, it describes its installation and widgets. The data modeling phase is considered from the perspective of machine learning by summarizing machine learning types, model types, problem types, and algorithm types. Advanced aspects associated with modeling are described such as loss and optimization functions such as gradient descent, techniques to analyze model performance such as Bootstrapping and Cross Validation. Deployment scenarios and the most common platforms are analyzed, with application examples. Mechanisms are proposed to automate machine learning and to support the interpretability of models and results such as Partial Dependence Plot, Permuted Feature Importance and others. The exercises are described with Orange and Python using the Keras/Tensorflow library. The text is accompanied by supporting material and it is possible to download the examples and the test data.

The Definitive Guide to AWS Application Integration

Author : Jyothi Prasad Buddha
Publisher : Apress
ISBN 13 : 1484254015
Total Pages : 363 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis The Definitive Guide to AWS Application Integration by : Jyothi Prasad Buddha

Download or read book The Definitive Guide to AWS Application Integration written by Jyothi Prasad Buddha and published by Apress. This book was released on 2019-12-17 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build reliable, asynchronous, and distributed applications using message queuing and task orchestration capabilities of Amazon Web Services (AWS) Application Integration. This book prepares you to build distributed applications and administrators, and manage queues, workflows, and state machines. You'll start by reviewing key AWS prerequisite services such as EC2, Lambda, S3, DynamoDB, CloudWatch, and IAM. Simple Queue Service (SQS) and SNS Simple Notification Service (SNS) are then covered to show how applications interact with each other in a reliable and resilient fashion. Next, workflow building with (Simple Workflow Service (SWF) for orchestration of tasks is explained and in the final chapter learn the techniques for building a state using Step Functions, Simple Workflow Service along with Flow Framework. The book illustrates all the concepts using numerous examples that work with SDK, CLI, and Console. Most of the code examples are in Java, followed by Python and JavaScript. What You Will LearnUnderstand the important prerequisites of AWS, such as EC2, Lambda, S3, and DynamoDB Work with SQS, SNS, and SWS functionsReview Step functions Who This Book Is For AWS developers and software developers proficient in Java, Python and JavaScript.

Aws Lambda

Author : Byron Francis
Publisher :
ISBN 13 : 9781540669803
Total Pages : 42 pages
Book Rating : 4.6/5 (698 download)

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Book Synopsis Aws Lambda by : Byron Francis

Download or read book Aws Lambda written by Byron Francis and published by . This book was released on 2016-11-27 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: AWS Lambda - The Complete Beginner's Guide ✮ ✬ ✮Free Bonus Included✮ ✬ ✮ This book is an exploration of the AWS Lambda. The first part is a guide for you on how to create a deployment package in the various programming languages such as Java, Node.JS, and Python. The concept of limits in AWS Lambda resources is discussed, and you will learn more about how to work with them. Due to concurrent execution, which you might need to support, you will be guided on how to override the defaults for these limits on the various resources. Event sources in AWS Lambda are also discussed in detail, and thus, you will learn more about them. The permissions which are necessary for us to use the various resources in AWS Lambda are also explored, so that you will learn how to grant these to your account. The AWS Lambda console is of great importance, but there are permissions which you must have for you to use it. These are examined in detail, as well as the Resource-Based Policies in AWS Lambda Actions. Here is a preview of what's inside: - Creation of a Deployment Package - AWS Lambda Limits - Event Sources in AWS Lambda - Managing Resource Access Permissions - Permissions Required for Using AWS Lambda Console - Resource-Based Policies in AWS Lambda Take Action Today and Learn AWS Lambda In No Time! Click the "Buy now with 1-Click" to the right and get this guide immediately.

Aws

Author : Dennis Hutten
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781977548177
Total Pages : 128 pages
Book Rating : 4.5/5 (481 download)

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Book Synopsis Aws by : Dennis Hutten

Download or read book Aws written by Dennis Hutten and published by Createspace Independent Publishing Platform. This book was released on 2017-09-22 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amazon Web Services (AWS) Lambda lets you run JavaScript (Node.js), Java & Python scripts/apps in Amazon's (virtually) infinately-scalable cloud environment without having provision VM instances or other "orquestration"; Everything is dynamically auto-scaled so if you have 1 user or 1 billion you pay for usage. AWS are effectively disrupting their (own) existing business with Lambda. Instead of forcing us to pay for EC2 instances in fixed increments and have complex application monitoring/scaling, AWS have built a much simpler way of building & running micro-services. Lambda also disrupts other Platform-as-a-Service ("PaaS") providers such as Heroku, Google App Engine, Azure or Modulus where you pay for a specific amount of compute power & RAM but have a scaling delay and scale in a fixed increment(instances).

AWS Certified Machine Learning Study Guide

Author : Shreyas Subramanian
Publisher : John Wiley & Sons
ISBN 13 : 1119821010
Total Pages : 382 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis AWS Certified Machine Learning Study Guide by : Shreyas Subramanian

Download or read book AWS Certified Machine Learning Study Guide written by Shreyas Subramanian and published by John Wiley & Sons. This book was released on 2021-11-19 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide As the most popular cloud service in the world today, Amazon Web Services offers a wide range of opportunities for those interested in the development and deployment of artificial intelligence and machine learning business solutions. The AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam delivers hyper-focused, authoritative instruction for anyone considering the pursuit of the prestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialist working within the AWS architecture. From exam to interview to your first day on the job, this study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. And with the practice exams and assessments, electronic flashcards, and supplementary online resources that accompany this Study Guide, you’ll be prepared for success in every subject area covered by the exam. You’ll also find: An intuitive and organized layout perfect for anyone taking the exam for the first time or seasoned professionals seeking a refresher on machine learning on the AWS Cloud Authoritative instruction on a widely recognized certification that unlocks countless career opportunities in machine learning and data science Access to the Sybex online learning resources and test bank, with chapter review questions, a full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam is an indispensable guide for anyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty exam or for a job interview in the field of machine learning, or who wishes to improve their skills in the field as they pursue a career in AWS machine learning.

Building Microservices with Micronaut®

Author : Nirmal Singh
Publisher : Packt Publishing Ltd
ISBN 13 : 1800567391
Total Pages : 363 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Building Microservices with Micronaut® by : Nirmal Singh

Download or read book Building Microservices with Micronaut® written by Nirmal Singh and published by Packt Publishing Ltd. This book was released on 2021-09-30 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore different aspects of building modular microservices such as development, testing, maintenance, and deployment using the Micronaut framework Key FeaturesLearn how to build scalable, fast, and resilient microservices with this concise guideExplore the many advantages of using reflection-free, compile-time dependency injections and aspect-oriented programmingBuild cloud-native applications easily with the Micronaut frameworkBook Description The open source Micronaut® framework is a JVM-based toolkit designed to create microservices quickly and easily. This book will help full-stack and Java developers build modular, high-performing, and reactive microservice-based apps using the Micronaut framework. You'll start by building microservices and learning about the core components, such as ahead-of-time compilation, reflection-less dependency injection, and reactive baked-in HTTP clients and servers. Next, you will work on a real-time microservice application and learn how to integrate Micronaut projects with different kinds of relational and non-relational databases. You'll also learn how to employ different security mechanisms to safeguard your microservices and integrate microservices using event-driven architecture in the Apache Kafka ecosystem. As you advance, you'll get to grips with automated testing and popular testing tools. The book will help you understand how you can easily handle microservice concerns in Micronaut projects, such as service discovery, API documentation, distributed configuration management, fallbacks, and circuit breakers. Finally, you'll explore the deployment and maintenance aspects of microservices and get up to speed with the Internet of Things (IoT) using the Framework. By the end of this book, you'll be able to build, test, deploy, and maintain your own microservice apps using the framework. What you will learnUnderstand why the Micronaut framework is best suited for building microservicesBuild web endpoints and services in the Micronaut frameworkSafeguard microservices using Session, JWT, and OAuth in Micronaut projectsGet to grips with event-driven architecture in Micronaut applicationsDiscover how to automate testing at various levels using built-in tools and testing frameworksDeploy your microservices to containers and cloud platformsBecome well-versed with distributed logging, tracing, and monitoring in Micronaut projectsGet hands-on with the IoT using Alexa and the Micronaut frameworkWho this book is for This book is for developers who have been building microservices on traditional frameworks such as Spring Boot and are looking for a faster alternative. Intermediate-level knowledge of Java programming and implementing web services development in Java is required.