Ecr Eks And Nodejs Docker Images
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| Author | : Matthew Casperson |
| Publisher | : Matthew Casperson |
| Total Pages | : 48 |
| Release | : |
| Genre | : Computers |
| ISBN | : |
As container technologies steadily gained in popularity, there was an increasing need for a platform to orchestrate their deployment and monitor their execution. Multiple platforms exist to fulfill this role, but Kubernetes has become the de-facto standard. Every major cloud provider offers a hosted Kubernetes solution, and on AWS, that service is called Elastic Kubernetes Service (EKS). Kubernetes is only part of the solution. The Docker images deployed to a Kubernetes cluster are hosted in a Docker registry. In AWS, the Elastic Container Registry (ECR) provides a service for hosting Docker images. Combining ECR and EKS provides a complete Kubernetes solution for running containerized applications at scale. In this book, we document the process of creating a Node.js Docker image, pushing it to ECR, and deploying it to EKS.
| Author | : Matthew Casperson |
| Publisher | : Matthew Casperson |
| Total Pages | : 51 |
| Release | : 2020-01-26 |
| Genre | : Computers |
| ISBN | : |
A step by step guide to deploying to Kubernetes in AWS.
| Author | : Erol Kavas |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 260 |
| Release | : 2023-12-29 |
| Genre | : Computers |
| ISBN | : 1803244372 |
Accelerate your business growth by employing Terraform for AWS projects with this comprehensive guide packed with practical implementation tips for start-ups, enterprises, and personal projects Key Features Learn Terraform on AWS from 12x AWS certified trainer Improve reusability and governance for large-scale Terraform projects Use infrastructure as code practices to fully automate AWS workloads Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionInfrastructure as code (IaC) and Terraform have become essential tools for managing cloud infrastructure and automating deployment processes. Mastering Terraform on AWS presents a step-by-step approach on how to master these tools and build a secure and scalable AWS infrastructure. The book starts with an introduction to patterns and anti-patterns of IaC and Terraform, explaining the common mistakes and pitfalls you must avoid. You’ll then learn about the importance of planning and designing infrastructure projects in AWS and making informed decisions for projects in AWS Terraform. You’ll find out how to implement Terraform in your projects and deploy serverless projects. Next, you’ll be able to deploy containers in AWS with Terraform, exploring the best practices for Terraform IaC projects. You’ll understand how you can leverage Terraform for enterprises, build Git workflows for IaC and Terraform projects, and automate deployment of Terraform projects. The last set of chapters will teach you how to govern AWS with Terraform and build a secure infrastructure. Finally, you’ll discover how to achieve a perfect AWS infrastructure with Terraform. By the end of this book, you’ll have gained a comprehensive understanding of the various aspects of Terraform and IaC, along with the knowledge required to build, manage, and deploy complex infrastructures on AWS.What you will learn Get to grips with Terraform frameworks and best practices Use Terraform providers and modules Develop your first AWS resource in Terraform Build an infrastructure project with Terraform Govern an infrastructure project in Terraform Deploy Terraform projects to AWS with CI/CD Who this book is for This book is for cloud and DevOps engineers, developers, and architects responsible for writing or designing infrastructure as code to deploy resources in AWS. You are expected to have a basic understanding of AWS and should have experience deploying resources through the user interface (UI).
| Author | : Shimon Ifrah |
| Publisher | : Apress |
| Total Pages | : 377 |
| Release | : 2019-10-15 |
| Genre | : Computers |
| ISBN | : 1484251016 |
Start deploying, managing, and scaling containerized applications into AWS container infrastructure using Docker on Amazon EC2, Amazon Elastic Container Service (ECS), and AWS Elastic Kubernetes Service (EKS). This step by step practical book will cover all the available container services on AWS and review the usage of each one based on your required scale and cost. Further, you will see how to set up each environment and finally deploy, manage, and scale containerized applications on each one. In the chapter about Elastic Kubernetes Service (EKS), you will learn the process of building and managing Kubernetes clusters on AWS and see how to provision hosts in a matter of minutes, while deploying containers in seconds and making them available globally. Deploy Containers on AWS shows you how to get started with AWS container offerings and manage production or test environments of containerized applications using a hands-on approach with step-by-step instructions. What You Will LearnDeploy and manage containers with Docker on Amazon EC2Store and retrieve container images using the Amazon EC2 container registryOrchestrate containers with Amazon Elastic Container Service (ECS)Run Kubernetes-managed infrastructure on AWS (EKS)Monitor, manage, back up, and restore containers on AWS Who This Book Is ForDevelopers, cloud and systems administrators, and architects
| Author | : Bhargav Bachina |
| Publisher | : Orange Education Pvt Ltd |
| Total Pages | : 802 |
| Release | : 2024-07-19 |
| Genre | : Computers |
| ISBN | : 8197651175 |
TAGLINE Craft Production-Grade Web Apps with MEVN on AWS, Azure, & GCP KEY FEATURES ● Gain an in-depth understanding of MongoDB, Express.js, Vue.js, and Node.js, and its integration to build full-stack applications. ● Develop a complete project from scratch, covering all aspects of the MEVN stack with detailed, step-by-step instructions. ● Learn how to deploy your MEVN stack applications on popular cloud platforms like AWS, Azure, and GCP. DESCRIPTION Embark on a journey into modern web development with the Ultimate Full Stack Web Development with MEVN to build robust, scalable applications using MongoDB, Express.js, Vue.js, and Node.js. Starting with fundamental concepts and installation steps, this book progresses to advanced topics and hands-on coding exercises, culminating in the creation of a comprehensive project that spans the entire stack. The book will dive into Vue.js for crafting seamless dynamic user interfaces and explore Node.js modules and components to effectively structure applications. Next, it will delve deeper into MongoDB for efficient data management and seamless integration within your MEVN stack. It will navigate UI development intricacies and explore essential logging options to refine Node.js API development practices. In the concluding section, you'll learn essential techniques for deploying MEVN applications effectively in production environments. The book will cover Docker's capabilities for consistent application containerization across varied deployment settings and critical unit testing and end-to-end testing strategies to boost application reliability and performance. By the end of the book, you will be able to deploy and scale your MEVN apps on cloud platforms like Google Cloud, AWS, and Azure. WHAT WILL YOU LEARN ● Integrate MongoDB, Express.js, Vue.js, and Node.js to build robust and scalable applications. ● Utilize MongoDB Atlas and Mongoose for efficient data storage and management. ● Build interactive user interfaces with component-based architecture and state management using Vuex. ● Use Node.js and Express.js to create and deploy efficient, scalable server-side applications. ● Learn Docker fundamentals to containerize and manage applications consistently across environments. ● Deploy, scale, and manage applications on AWS, Azure, and GCP with best practices. ● Add functionalities like user authentication, CRUD operations, and API integrations through hands-on projects. ● Solve real-world problems with coding exercises and scenarios, solidifying your full-stack development expertise. WHO IS THIS BOOK FOR? This book is tailored for aspiring and current developers, including software engineers, web developers, and full-stack developers, who already have a basic understanding of web technologies and programming principles. Familiarity with JavaScript, HTML, and CSS would be a plus. If you are eager to deepen your skills in full stack MEVN development and learn about deploying applications on major cloud platforms like AWS, Azure, and GCP, this book is for you. TABLE OF CONTENTS 1. Introduction 2. Prerequisites 3. Exploring Vue.js 4. Node.js Modules and Components 5. Setting Up Development Environment 6. Backend Development With TypeScript 7. Getting Familiar With MongoDB and Integration 8. UI Development 9. Logging Options in Node.js API 10. Building MEVN Stack for Production 11. Running MEVN Stack on Docker 12. Unit Testing 13. End-to-End Testing 14. MEVN Stack Container Options on Google Cloud 15. MEVN Stack Container Options on AWS 16. MEVN Stack Container Options on Azure Index
| Author | : Viktor Farcic |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 533 |
| Release | : 2019-08-30 |
| Genre | : Computers |
| ISBN | : 1789138809 |
Discover DevOps secrets from leading experts. Viktor Farcic interviews DevOps industries voices including Mike Kail, Greg Bledsoe, Jeff Sussna, James Turnbull, Kohsuke Kawaguchi, Liz Keogh, and more. Key FeaturesLeading DevOps experts share their insights into modern DevOps practiceEngage with the real-world challenges of putting DevOps to workStrengthen your DevOps practices now and prepare for future DevOps trendsBook Description DevOps promises to break down silos, uniting organizations to deliver high quality output in a cross-functional way. In reality it often results in confusion and new silos: pockets of DevOps practitioners fight the status quo, senior decision-makers demand DevOps paint jobs without committing to true change. Even a clear definition of what DevOps is remains elusive. In DevOps Paradox, top DevOps consultants, industry leaders, and founders reveal their own approaches to all aspects of DevOps implementation and operation. Surround yourself with expert DevOps advisors. Viktor Farcic draws on experts from across the industry to discuss how to introduce DevOps to chaotic organizations, align incentives between teams, and make use of the latest tools and techniques. With each expert offering their own opinions on what DevOps is and how to make it work, you will be able to form your own informed view of the importance and value of DevOps as we enter a new decade. If you want to see how real DevOps experts address the challenges and resolve the paradoxes, this book is for you. What you will learn Expert opinions on: Introducing DevOps into real-world, chaotic business environmentsDeciding between adopting cutting edge tools or sticking with tried-and-tested methodsInitiating necessary business change without positional powerManaging and overcoming fear of change in DevOps implementationsAnticipating future trends in DevOps and how to prepare for themGetting the most from Kubernetes, Docker, Puppet, Chef, and AnsibleCreating the right incentives for DevOps success across an organizationThe impact of new techniques, such as Lambda, serverless, and schedulers, on DevOps practiceWho this book is for Anybody interested in DevOps will gain a lot from this book. If you want to get beyond the simplistic ideals and engage with the deep challenges of putting DevOps to work in the real world, this book is for you.
| Author | : Richard Bullington-McGuire |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 468 |
| Release | : 2020-09-14 |
| Genre | : Computers |
| ISBN | : 178953948X |
Learn how to deploy and test Linux-based Docker containers with the help of real-world use cases Key FeaturesUnderstand how to make a deployment workflow run smoothly with Docker containersLearn Docker and DevOps concepts such as continuous integration and continuous deployment (CI/CD)Gain insights into using various Docker tools and librariesBook Description Docker is the de facto standard for containerizing apps, and with an increasing number of software projects migrating to containers, it is crucial for engineers and DevOps teams to understand how to build, deploy, and secure Docker environments effectively. Docker for Developers will help you understand Docker containers from scratch while taking you through best practices and showing you how to address security concerns. Starting with an introduction to Docker, you'll learn how to use containers and VirtualBox for development. You'll explore how containers work and develop projects within them after you've explored different ways to deploy and run containers. The book will also show you how to use Docker containers in production in both single-host set-ups and in clusters and deploy them using Jenkins, Kubernetes, and Spinnaker. As you advance, you'll get to grips with monitoring, securing, and scaling Docker using tools such as Prometheus and Grafana. Later, you'll be able to deploy Docker containers to a variety of environments, including the cloud-native Amazon Elastic Kubernetes Service (Amazon EKS), before finally delving into Docker security concepts and best practices. By the end of the Docker book, you'll be able to not only work in a container-driven environment confidently but also use Docker for both new and existing projects. What you will learnGet up to speed with creating containers and understand how they workPackage and deploy your containers to a variety of platformsWork with containers in the cloud and on the Kubernetes platformDeploy and then monitor the health and logs of running containersExplore best practices for working with containers from a security perspectiveBecome familiar with scanning containers and using third-party security tools and librariesWho this book is for If you're a software engineer new to containerization or a DevOps engineer responsible for deploying Docker containers in the cloud and building DevOps pipelines for container-based projects, you'll find this book useful. This Docker containers book is also a handy reference guide for anyone working with a Docker-based DevOps ecosystem or interested in understanding the security implications and best practices for working in container-driven environments.
| Author | : Mani Khanuja |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 382 |
| Release | : 2022-12-30 |
| Genre | : Computers |
| ISBN | : 1803244445 |
Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMaker Key FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook Description Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles. This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you'll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases. By the end of this book, you'll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle. What you will learnExplore data management, storage, and fast networking for HPC applicationsFocus on the analysis and visualization of a large volume of data using SparkTrain visual transformer models using SageMaker distributed trainingDeploy and manage ML models at scale on the cloud and at the edgeGet to grips with performance optimization of ML models for low latency workloadsApply HPC to industry domains such as CFD, genomics, AV, and optimizationWho this book is for The book begins with HPC concepts, however, it expects you to have prior machine learning knowledge. This book is for ML engineers and data scientists interested in learning advanced topics on using large datasets for training large models using distributed training concepts on AWS, deploying models at scale, and performance optimization for low latency use cases. Practitioners in fields such as numerical optimization, computation fluid dynamics, autonomous vehicles, and genomics, who require HPC for applying ML models to applications at scale will also find the book useful.
| Author | : Jaime Buelta |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 396 |
| Release | : 2019-11-22 |
| Genre | : Computers |
| ISBN | : 1838822550 |
A step-by-step guide to building microservices using Python and Docker, along with managing and orchestrating them with Kubernetes Key FeaturesLearn to use Docker containers to create, operate, and deploy your microservicesCreate workflows to manage independent deployments on coordinating services using CI and GitOps through GitHub, Travis CI, and FluxDevelop a REST microservice in Python using the Flask framework and Postgres databaseBook Description Microservices architecture helps create complex systems with multiple, interconnected services that can be maintained by independent teams working in parallel. This book guides you on how to develop these complex systems with the help of containers. You’ll start by learning to design an efficient strategy for migrating a legacy monolithic system to microservices. You’ll build a RESTful microservice with Python and learn how to encapsulate the code for the services into a container using Docker. While developing the services, you’ll understand how to use tools such as GitHub and Travis CI to ensure continuous delivery (CD) and continuous integration (CI). As the systems become complex and grow in size, you’ll be introduced to Kubernetes and explore how to orchestrate a system of containers while managing multiple services. Next, you’ll configure Kubernetes clusters for production-ready environments and secure them for reliable deployments. In the concluding chapters, you’ll learn how to detect and debug critical problems with the help of logs and metrics. Finally, you’ll discover a variety of strategies for working with multiple teams dealing with different microservices for effective collaboration. By the end of this book, you’ll be able to build production-grade microservices as well as orchestrate a complex system of services using containers. What you will learnDiscover how to design, test, and operate scalable microservicesCoordinate and deploy different services using KubernetesUse Docker to construct scalable and manageable applications with microservicesUnderstand how to monitor a complete system to ensure early detection of problemsBecome well versed with migrating from an existing monolithic system to a microservice oneUse load balancing to ensure seamless operation between the old monolith and the new serviceWho this book is for This book is for developers, engineers, or software architects who are trying to move away from traditional approaches for building complex multi-service systems by adopting microservices and containers. Although familiarity with Python programming is assumed, no prior knowledge of Docker is required.
| Author | : Abhishek Singh |
| Publisher | : Apress |
| Total Pages | : 399 |
| Release | : 2019-09-13 |
| Genre | : Computers |
| ISBN | : 1484250346 |
Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud. By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. What You Will LearnIdentify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning Who This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.
