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Author: Matthew Casperson
Publisher: Matthew Casperson
ISBN:
Category : Computers
Languages : en
Pages : 51
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Book Description
A step by step guide to deploying to Kubernetes in AWS.
Author: Matthew Casperson
Publisher: Matthew Casperson
ISBN:
Category : Computers
Languages : en
Pages : 51
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Book Description
A step by step guide to deploying to Kubernetes in AWS.
Author: Malcolm Orr
Publisher: Packt Publishing Ltd
ISBN: 1803234822
Category : Computers
Languages : en
Pages : 448
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Book Description
Leverage AWS EKS to optimally manage Kubernetes deployment, scaling, and monitoring for your containerized applications Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Seamlessly deploy and run Kubernetes applications on AWS Overcome security and networking issues in Kubernetes to improve the performance of your apps Scale and provision resources to meet the dynamic needs of the cluster using AWS EKS Book Description Kubernetes has emerged as the de facto standard for container orchestration, with recent developments making it easy to deploy and handle a Kubernetes cluster. However, a few challenges such as networking, load balancing, monitoring, and security remain. To address these issues, Amazon EKS offers a managed Kubernetes service to improve the performance, scalability, reliability, and availability of AWS infrastructure and integrate with AWS networking and security services with ease. You'll begin by exploring the fundamentals of Docker, Kubernetes, Amazon EKS, and its architecture along with different ways to set up EKS. Next, you'll find out how to manage Amazon EKS, encompassing security, cluster authentication, networking, and cluster version upgrades. As you advance, you'll discover best practices and learn to deploy applications on Amazon EKS through different use cases, including pushing images to ECR and setting up storage and load balancing. With the help of several actionable practices and scenarios, you'll gain the know-how to resolve scaling and monitoring issues. Finally, you will overcome the challenges in EKS by developing the right skill set to troubleshoot common issues with the right logic. By the end of this Kubernetes book, you'll be able to effectively manage your own Kubernetes clusters and other components on AWS. What you will learn Understand Amazon EKS architecture and how every component works Effectively manage Kubernetes cluster on AWS with Amazon EKS Build a Docker image and push it to AWS ECR Efficiently scale and provision resources leveraging Amazon EKS Dive deep into security and networking with Amazon EKS Understand Fargate serverless and apply it to the workload Who this book is for This book is for cloud architects and cloud engineers who want to efficiently manage Kubernetes with Amazon EKS. Basic knowledge of containerization, Kubernetes, Docker, and AWS services is needed to grasp the content present in this book.
Author: Alberto Artasanchez
Publisher: Packt Publishing Ltd
ISBN: 1789539145
Category : Computers
Languages : en
Pages : 454
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Book Description
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.
Author: Paul Iusztin
Publisher: Packt Publishing Ltd
ISBN: 1836200064
Category : Computers
Languages : en
Pages : 523
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Book Description
Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Key Features Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications Book DescriptionArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.What you will learn Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine it with the help of hands-on examples Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring Perform supervised fine-tuning and LLM evaluation Deploy end-to-end LLM solutions using AWS and other tools Design scalable and modularLLM systems Learn about RAG applications by building a feature and inference pipeline Who this book is for This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios
Author: Mani Khanuja
Publisher: Packt Publishing Ltd
ISBN: 1803244445
Category : Computers
Languages : en
Pages : 382
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Book Description
Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMaker Key FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook Description Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles. This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you'll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases. By the end of this book, you'll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle. What you will learnExplore data management, storage, and fast networking for HPC applicationsFocus on the analysis and visualization of a large volume of data using SparkTrain visual transformer models using SageMaker distributed trainingDeploy and manage ML models at scale on the cloud and at the edgeGet to grips with performance optimization of ML models for low latency workloadsApply HPC to industry domains such as CFD, genomics, AV, and optimizationWho this book is for The book begins with HPC concepts, however, it expects you to have prior machine learning knowledge. This book is for ML engineers and data scientists interested in learning advanced topics on using large datasets for training large models using distributed training concepts on AWS, deploying models at scale, and performance optimization for low latency use cases. Practitioners in fields such as numerical optimization, computation fluid dynamics, autonomous vehicles, and genomics, who require HPC for applying ML models to applications at scale will also find the book useful.
Author: Mohamed Labouardy
Publisher: Packt Publishing Ltd
ISBN: 1801079552
Category : Computers
Languages : en
Pages : 482
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Book Description
An effective guide to learning how to build a large-scale distributed application using the wide range of functionalities in Gin Key FeaturesExplore the commonly used functionalities of Gin to build web applicationsBecome well-versed with rendering HTML templates with the Gin engineSolve commonly occurring challenges such as scaling, caching, and deploymentBook Description Gin is a high-performance HTTP web framework used to build web applications and microservices in Go. This book is designed to teach you the ins and outs of the Gin framework with the help of practical examples. You'll start by exploring the basics of the Gin framework, before progressing to build a real-world RESTful API. Along the way, you'll learn how to write custom middleware and understand the routing mechanism, as well as how to bind user data and validate incoming HTTP requests. The book also demonstrates how to store and retrieve data at scale with a NoSQL database such as MongoDB, and how to implement a caching layer with Redis. Next, you'll understand how to secure and test your API endpoints with authentication protocols such as OAuth 2 and JWT. Later chapters will guide you through rendering HTML templates on the server-side and building a frontend application with the React web framework to consume API responses. Finally, you'll deploy your application on Amazon Web Services (AWS) and learn how to automate the deployment process with a continuous integration/continuous delivery (CI/CD) pipeline. By the end of this Gin book, you will be able to design, build, and deploy a production-ready distributed application from scratch using the Gin framework. What you will learnBuild a production-ready REST API with the Gin frameworkScale web applications with event-driven architectureUse NoSQL databases for data persistenceSet up authentication middleware with JWT and Auth0Deploy a Gin-based RESTful API on AWS with Docker and KubernetesImplement a CI/CD workflow for Gin web appsWho this book is for This book is for Go developers who are comfortable with the Go language and seeking to learn REST API design and development with the Gin framework. Beginner-level knowledge of the Go programming language is required to make the most of this book.
Author: Shimon Ifrah
Publisher: Apress
ISBN: 1484251016
Category : Computers
Languages : en
Pages : 377
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Book Description
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: John Carnell
Publisher: Simon and Schuster
ISBN: 1617296953
Category : Computers
Languages : en
Pages : 446
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Book Description
By dividing large applications into separate self-contained units, Microservices are a great step toward reducing complexity and increasing flexibility. Spring Microservices in Action, Second Edition teaches you how to build microservice-based applications using Java and the Spring platform. This second edition is fully updated for the latest version of Spring, with expanded coverage of API routing with Spring Cloud Gateway, logging with the ELK stack, metrics with Prometheus and Grafana, security with the Hashicorp Vault, and modern deployment practices with Kubernetes and Istio. about the technology Microservices break up your code into independent interconnected services that require careful forethought and design. Fortunately, Spring Boot, Spring Cloud, and Spring Cloud Gateway simplify the tedious plumbing and infrastructure setup required for microservice applications. Spring Boot removes the boilerplate code involved with writing a REST-based service. Spring Cloud provides a suite of tools for the discovery, routing, and deployment of microservices to the enterprise and the cloud. Spring Cloud Gateway provides a clear and effective routing to APIs, with a single entry point into a system. Together, they make it a snap to spin up Spring applications as microservices and wire them together into a reliable, scalable system. about the book Fully updated and upgraded for the latest version of Spring, Spring Microservices in Action, Second Edition is an expanded revision of a Manning bestseller. In it, you''ll learn how to build microservice-based applications using Java and the Spring platform and how to efficiently monitor and log your microservices operations. Throughout the book, carefully selected real-life examples expose microservice-based patterns for configuring, routing, scaling, and deploying your services. You''ll see how Spring''s intuitive tooling can help augment and refactor existing applications with microservices and how Spring Cloud Gateway makes it easy to handle multiple APIs with a single tool. You''ll also pick up best practices for using Spring with modern deployment platforms based on Kubernetes and Istio. what''s inside Core microservice design principles Microservices best practices Using docker containers to run microservices Managing configuration with Spring Cloud Config and Hashicorp Vault for sensitive information Client-side resiliency with Hystrix, and Ribbon Managing application metrics with Prometheus and Grafana Intelligent routing using Spring Cloud Gateway Distributed tracing with Spring Cloud Sleuth, Zipkin and ELK Stack Deploying Spring Cloud applications with Kubernetes and Istio about the reader This book is written for developers with Java and Spring experience. about the authors John Carnell is a senior cloud engineer with twenty years of experience in Java. Illary Huaylupo Sánchez is a software engineer with an MBA in IT management and over twelve years of experience in Java.
Author: Viktor Farcic
Publisher: Packt Publishing Ltd
ISBN: 1789138809
Category : Computers
Languages : en
Pages : 533
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Book Description
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: Justin Menga
Publisher: Packt Publishing Ltd
ISBN: 1788622723
Category : Computers
Languages : en
Pages : 812
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Book Description
Run Docker on AWS and build real-world, secure, and scalable container platforms on cloud Key Features Configure Docker for the ECS environment Integrate Docker with different AWS tools Implement container networking and deployment at scale Book Description Over the last few years, Docker has been the gold standard for building and distributing container applications. Amazon Web Services (AWS) is a leader in public cloud computing, and was the first to offer a managed container platform in the form of the Elastic Container Service (ECS). Docker on Amazon Web Services starts with the basics of containers, Docker, and AWS, before teaching you how to install Docker on your local machine and establish access to your AWS account. You'll then dig deeper into the ECS, a native container management platform provided by AWS that simplifies management and operation of your Docker clusters and applications for no additional cost. Once you have got to grips with the basics, you'll solve key operational challenges, including secrets management and auto-scaling your infrastructure and applications. You'll explore alternative strategies for deploying and running your Docker applications on AWS, including Fargate and ECS Service Discovery, Elastic Beanstalk, Docker Swarm and Elastic Kubernetes Service (EKS). In addition to this, there will be a strong focus on adopting an Infrastructure as Code (IaC) approach using AWS CloudFormation. By the end of this book, you'll not only understand how to run Docker on AWS, but also be able to build real-world, secure, and scalable container platforms in the cloud. What you will learn Build, deploy, and operate Docker applications using AWS Solve key operational challenges, such as secrets management Exploit the powerful capabilities and tight integration of other AWS services Design and operate Docker applications running on ECS Deploy Docker applications quickly, consistently, and reliably using IaC Manage and operate Docker clusters and applications for no additional cost Who this book is for Docker on Amazon Web Services is for you if you want to build, deploy, and operate applications using the power of containers, Docker, and Amazon Web Services. Basic understanding of containers and Amazon Web Services or any other cloud provider will be helpful, although no previous experience of working with these is required.
