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Deploying A Simple App With Aws

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Deploying A Simple App With Aws

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Author : Ryan Keeler
language : en
Publisher: Ryan Keeler
Release Date : 2024-02-23

Deploying A Simple App With Aws written by Ryan Keeler and has been published by Ryan Keeler this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-23 with Architecture categories.

The document titled "Deploying A Simple Application With AWS" by Ryan Keeler, published on February 23, 2024, serves as a comprehensive guide to leveraging Amazon Web Services (AWS) for deploying applications effectively and efficiently. It begins with an introduction to cloud computing, emphasizing AWS's pivotal role in this sector due to its expansive, reliable, and diverse range of services. The text details various aspects of AWS, including its scalable resources, cost-effectiveness, security measures, and global infrastructure which supports a pay-as-you-go pricing model ideal for businesses of all sizes. Significantly, the guide outlines the procedural steps for setting up an AWS account, and configuring the AWS Management Console—a crucial platform for managing AWS services. It covers core AWS services like Amazon EC2 for scalable computing, Amazon S3 for storage, and Amazon RDS for relational database management, emphasizing their roles in application deployment. Furthermore, the document delves into best practices for AWS usage, from security and compliance to cost management, underscoring the importance of AWS's support and resources in streamlining application development and deployment. With a focus on practical application, the guide offers instructions on navigating the AWS Management Console, setting up environments, and deploying applications using various AWS services. This manual is an essential tool for developers looking to harness AWS's capabilities for deploying applications, managing costs, and ensuring security and compliance effectively.

Deploying A Simple App With Aws

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Author : Ryan Keeler
language : en
Publisher: Ryan Keeler
Release Date : 2024-02-23

Encyclopedia Of Bioinformatics And Computational Biology

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Author :
language : en
Publisher: Elsevier
Release Date : 2018-08-21

Encyclopedia Of Bioinformatics And Computational Biology written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Medical categories.

Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Machine Learning Engineering On Aws

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Author : Joshua Arvin Lat
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-10-27

Machine Learning Engineering On Aws written by Joshua Arvin Lat and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Computers categories.

Work seamlessly with production-ready machine learning systems and pipelines on AWS by addressing key pain points encountered in the ML life cycle Key FeaturesGain practical knowledge of managing ML workloads on AWS using Amazon SageMaker, Amazon EKS, and moreUse container and serverless services to solve a variety of ML engineering requirementsDesign, build, and secure automated MLOps pipelines and workflows on AWSBook Description There is a growing need for professionals with experience in working on machine learning (ML) engineering requirements as well as those with knowledge of automating complex MLOps pipelines in the cloud. This book explores a variety of AWS services, such as Amazon Elastic Kubernetes Service, AWS Glue, AWS Lambda, Amazon Redshift, and AWS Lake Formation, which ML practitioners can leverage to meet various data engineering and ML engineering requirements in production. This machine learning book covers the essential concepts as well as step-by-step instructions that are designed to help you get a solid understanding of how to manage and secure ML workloads in the cloud. As you progress through the chapters, you'll discover how to use several container and serverless solutions when training and deploying TensorFlow and PyTorch deep learning models on AWS. You'll also delve into proven cost optimization techniques as well as data privacy and model privacy preservation strategies in detail as you explore best practices when using each AWS. By the end of this AWS book, you'll be able to build, scale, and secure your own ML systems and pipelines, which will give you the experience and confidence needed to architect custom solutions using a variety of AWS services for ML engineering requirements. What you will learnFind out how to train and deploy TensorFlow and PyTorch models on AWSUse containers and serverless services for ML engineering requirementsDiscover how to set up a serverless data warehouse and data lake on AWSBuild automated end-to-end MLOps pipelines using a variety of servicesUse AWS Glue DataBrew and SageMaker Data Wrangler for data engineeringExplore different solutions for deploying deep learning models on AWSApply cost optimization techniques to ML environments and systemsPreserve data privacy and model privacy using a variety of techniquesWho this book is for This book is for machine learning engineers, data scientists, and AWS cloud engineers interested in working on production data engineering, machine learning engineering, and MLOps requirements using a variety of AWS services such as Amazon EC2, Amazon Elastic Kubernetes Service (EKS), Amazon SageMaker, AWS Glue, Amazon Redshift, AWS Lake Formation, and AWS Lambda -- all you need is an AWS account to get started. Prior knowledge of AWS, machine learning, and the Python programming language will help you to grasp the concepts covered in this book more effectively.

Building Data Driven Applications With Llamaindex

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Author : Andrei Gheorghiu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-10

Building Data Driven Applications With Llamaindex written by Andrei Gheorghiu and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-10 with Computers categories.

Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications Key Features Examine text chunking effects on RAG workflows and understand security in RAG app development Discover chatbots and agents and learn how to build complex conversation engines Build as you learn by applying the knowledge you gain to a hands-on project Book DescriptionDiscover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.What you will learn Understand the LlamaIndex ecosystem and common use cases Master techniques to ingest and parse data from various sources into LlamaIndex Discover how to create optimized indexes tailored to your use cases Understand how to query LlamaIndex effectively and interpret responses Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit Customize a LlamaIndex configuration based on your project needs Predict costs and deal with potential privacy issues Deploy LlamaIndex applications that others can use Who this book is for This book is for Python developers with basic knowledge of natural language processing (NLP) and LLMs looking to build interactive LLM applications. Experienced developers and conversational AI developers will also benefit from the advanced techniques covered in the book to fully unleash the capabilities of the framework.

Hands On Artificial Intelligence On Amazon Web Services

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Author : Subhashini Tripuraneni
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-10-04

Hands On Artificial Intelligence On Amazon Web Services written by Subhashini Tripuraneni and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with Computers categories.

Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly Key FeaturesExplore popular machine learning and deep learning services with their underlying algorithmsDiscover readily available artificial intelligence(AI) APIs on AWS like Vision and Language ServicesDesign robust architectures to enable experimentation, extensibility, and maintainability of AI appsBook Description From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS. With this book, you’ll work through hands-on exercises and learn to use these services to solve real-world problems. You’ll even design, develop, monitor, and maintain machine and deep learning models on AWS. The book starts with an introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services. You’ll then get to grips with detecting and translating text with Amazon Rekognition and Amazon Translate. The book will assist you in performing speech-to-text with Amazon Transcribe and Amazon Polly. Later, you’ll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. You will also understand the key capabilities of Amazon SageMaker such as wrangling big data, discovering topics in text collections, and classifying images. Finally, you’ll cover sales forecasting with deep learning and autoregression, before exploring the importance of a feedback loop in machine learning. By the end of this book, you will have the skills you need to implement AI in AWS through hands-on exercises that cover all aspects of the ML model life cycle. What you will learnGain useful insights into different machine and deep learning modelsBuild and deploy robust deep learning systems to productionTrain machine and deep learning models with diverse infrastructure specificationsScale AI apps without dealing with the complexity of managing the underlying infrastructureMonitor and Manage AI experiments efficientlyCreate AI apps using AWS pre-trained AI servicesWho this book is for This book is for data scientists, machine learning developers, deep learning researchers, and artificial intelligence enthusiasts who want to harness the power of AWS to implement powerful artificial intelligence solutions. A basic understanding of machine learning concepts is expected.

Aws Devops Engineer Professional Certification Guide

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Author : Sumit Kapoor
language : en
Publisher: BPB Publications
Release Date : 2024-04-21

Aws Devops Engineer Professional Certification Guide written by Sumit Kapoor and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-21 with Computers categories.

Crack the exam and become an expert in provisioning, operating, and managing distributed application systems on the AWS platform KEY FEATURES ● This book offers real-world and hands-on examples that will prepare you to take the exam with confidence. ● Enhance your abilities for efficient interdepartmental communication, fostering cost-effective business solutions. ● Includes mock exams with explanations for self-assessment and boosting confidence. DESCRIPTION The AWS DevOps Engineer Professional Certification Guide is highly challenging and can significantly boost one's career. It features scenario-based questions with lengthy descriptions, making comprehension tough. This book focuses extensively on AWS Developer Tools, CloudFormation, Elastic Beanstalk, OpsWorks, and other crucial topics, representing the exam's domain. The readers can easily prepare for the AWS Certified DevOps Engineer - Professional exam with this guide drafted with a focus on managing infrastructure and applications on AWS. It covers secure version control with CodeCommit, automated code building with CodeBuild, and streamlined updates with CodeDeploy and CodePipeline. You will learn to create secure CI/CD pipelines and define AWS infrastructure and applications with CloudFormation. The readers will explore the management of multiple AWS accounts, security tools, and automation with OpsWorks and Elastic Beanstalk. You will also discover strategies for scalability, disaster recovery, monitoring with CloudWatch, and performance analysis with Kinesis Data Streams. Finally, you will learn to implement automated responses and security best practices with AWS Config and Inspector. Successfully passing this exam will help you gain advanced technical skills needed to become a DevOps subject matter expert and earn a good remuneration in the IT industry. WHAT YOU WILL LEARN ● Set up automated code building, testing, and deployment. ● Automate the configuration and deployment in AWS for efficiency. ● Design infrastructure and applications on AWS that handle high traffic and unexpected situations. ● Gain insights into infrastructure and application performance on AWS with advanced monitoring tools. ● Learn about best practices for securing infrastructure and applications on AWS, like access control, encryption, vulnerability scanning, and incident response procedures. WHO THIS BOOK IS FOR This book is ideal for IT professionals, like cloud engineers, DevOps engineers, and system administrators, who want to build and manage secure, scalable websites on AWS. It equips them with the knowledge to become a certified AWS DevOps Engineer - Professional. TABLE OF CONTENTS 1. Continuous Integration with CodeCommit and CodeBuild 2. Continuous Delivery with CodeDeploy and CodePipeline 3. Cross-Account CI/CD Pipelines and Testing 4. Infrastructure as Code Using CloudFormation 5. Automated Account Management and Security in AWS 6. Automation Using OpsWorks and Elastic Beanstalk 7. Implement High Availability, Scalability, and Fault Tolerance 8. Design and Automate Disaster Recovery Strategies 9. Automate Monitoring and Event Management 10. Auditing, Logging and Monitoring Containers and Applications 11. Troubleshooting and Restoring Operations 12. Setup Event-Driven Automated Actions 13. Implement Governance Strategies and Cost Optimization 14. Advanced Security, Access Control, and Identity Management 15. Mock Exam: 1 16. Mock Exam: 2

Web App Development Made Simple With Streamlit

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Author : Rosario Moscato
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-02-09

Web App Development Made Simple With Streamlit written by Rosario Moscato and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-09 with Computers categories.

Unlock the full potential of Streamlit, mastering web app development from setup to deployment with practical guidance, advanced techniques, and real-world examples Key Features Identify and overcome web development challenges, crafting dedicated application skeletons using Streamlit Understand how Streamlit's widgets and components work to implement any kind of web app Manage web application development and deployment with ease using the Streamlit Cloud service Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book is a comprehensive guide to the Streamlit open-source Python library and simplifying the process of creating web applications. Through hands-on guidance and realistic examples, you’ll progress from crafting simple to sophisticated web applications from scratch. This book covers everything from understanding Streamlit's central principles, modules, basic features, and widgets to advanced skills such as dealing with databases, hashes, sessions, and multipages. Starting with fundamental concepts like operation systems virtualization, IDEs, development environments, widgets, scripting, and the anatomy of web apps, the initial chapters set the groundwork. You’ll then apply this knowledge to develop some real web apps, gradually advancing to more complex apps, incorporating features like natural language processing (NLP), computer vision, dashboards with interactive charts, file uploading, and much more. The book concludes by delving into the implementation of advanced skills and deployment techniques. By the end of this book, you’ll have transformed into a proficient developer, equipped with advanced skills for handling databases, implementing secure login processes, managing session states, creating multipage applications, and seamlessly deploying them on the cloud.What you will learn Develop interactive web apps with Streamlit and deploy them seamlessly on the cloud Acquire in-depth theoretical and practical expertise in using Streamlit for app development Use themes and customization for visually appealing web apps tailored to specific needs Implement advanced features including secure login, signup processes, file uploaders, and database connections Build a catalog of scripts and routines to efficiently implement new web apps Attain autonomy in adopting new Streamlit features rapidly and effectively Who this book is for This book is for Python programmers, web developers, computer science students, and IT enthusiasts with a foundation in Python (or any programming language) who have a passion for creating visually appealing applications. If you already know how to write programs, this book will help you evolve into an adept web application developer skilled at converting command-line tools into impressive, cloud-hosted applications.

Aws For Solutions Architects

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Author : Alberto Artasanchez
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-02-19

Aws For Solutions Architects written by Alberto Artasanchez and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-19 with Computers categories.

Apply cloud design patterns to overcome real-world challenges by building scalable, secure, highly available, and cost-effective solutions Key Features Apply AWS Well-Architected Framework concepts to common real-world use cases Understand how to select AWS patterns and architectures that are best suited to your needs Ensure the security and stability of a solution without impacting cost or performance Book DescriptionOne of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects. AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You'll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples. By the end of this AWS book, you'll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization's technological and business requirements.What you will learn Rationalize the selection of AWS as the right cloud provider for your organization Choose the most appropriate service from AWS for a particular use case or project Implement change and operations management Find out the right resource type and size to balance performance and efficiency Discover how to mitigate risk and enforce security, authentication, and authorization Identify common business scenarios and select the right reference architectures for them Who this book is for This book is for application and enterprise architects, developers, and operations engineers who want to become well-versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, and cost-effective solutions in the cloud. Although existing AWS users will find this book most useful, it will also help potential users understand how leveraging AWS can benefit their organization.

Amazon Redshift Cookbook

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Author : Shruti Worlikar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-07-23

Amazon Redshift Cookbook written by Shruti Worlikar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-23 with Computers categories.

Discover how to build a cloud-based data warehouse at petabyte-scale that is burstable and built to scale for end-to-end analytical solutions Key FeaturesDiscover how to translate familiar data warehousing concepts into Redshift implementationUse impressive Redshift features to optimize development, productionizing, and operations processesFind out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queriesBook Description Amazon Redshift is a fully managed, petabyte-scale AWS cloud data warehousing service. It enables you to build new data warehouse workloads on AWS and migrate on-premises traditional data warehousing platforms to Redshift. This book on Amazon Redshift starts by focusing on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll then learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. Because of the massive amount of data involved in data warehousing, designing your database for analytical processing lets you take full advantage of Redshift's columnar architecture and managed services. As you advance, you'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, which help minimize the operational efforts that you have to invest in managing regular ETL pipelines and ensure the timely and accurate refreshing of your data warehouse. Finally, you'll gain a clear understanding of Redshift use cases, data ingestion, data management, security, and scaling so that you can build a scalable data warehouse platform. By the end of this Redshift book, you'll be able to implement a Redshift-based data analytics solution and have understood the best practice solutions to commonly faced problems. What you will learnUse Amazon Redshift to build petabyte-scale data warehouses that are agile at scaleIntegrate your data warehousing solution with a data lake using purpose-built features and services on AWSBuild end-to-end analytical solutions from data sourcing to consumption with the help of useful recipesLeverage Redshift's comprehensive security capabilities to meet the most demanding business requirementsFocus on architectural insights and rationale when using analytical recipesDiscover best practices for working with big data to operate a fully managed solutionWho this book is for This book is for anyone involved in architecting, implementing, and optimizing an Amazon Redshift data warehouse, such as data warehouse developers, data analysts, database administrators, data engineers, and data scientists. Basic knowledge of data warehousing, database systems, and cloud concepts and familiarity with Redshift will be beneficial.

Deploying A Simple App With Aws

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