Aws Automation Cookbook

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AWS Automation Cookbook

Author : Nikit Swaraj
Publisher : Packt Publishing Ltd
ISBN 13 : 1788392116
Total Pages : 379 pages
Book Rating : 4.7/5 (883 download)

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Book Synopsis AWS Automation Cookbook by : Nikit Swaraj

Download or read book AWS Automation Cookbook written by Nikit Swaraj and published by Packt Publishing Ltd. This book was released on 2017-11-24 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automate release processes, deployment, and continuous integration of your application as well as infrastructure automation with the powerful services offered by AWS About This Book Accelerate your infrastructure's productivity by implementing a continuous delivery pipeline within your environment Leverage AWS services and Jenkins 2.0 to perform complete application deployments on Linux servers This recipe-based guide that will help you minimize application deployment downtime Who This Book Is For This book is for developers and system administrators who are responsible for hosting their application and managing instances in AWS. It's also ideal for DevOps engineers looking to provide continuous integration, deployment, and delivery. A basic understanding of AWS, Jenkins, and some scripting knowledge is needed. What You Will Learn Build a sample Maven and NodeJS Application using CodeBuild Deploy the application in EC2/Auto Scaling and see how CodePipeline helps you integrate AWS services Build a highly scalable and fault tolerant CI/CD pipeline Achieve the CI/CD of a microservice architecture application in AWS ECS using CodePipeline, CodeBuild, ECR, and CloudFormation Automate the provisioning of your infrastructure using CloudFormation and Ansible Automate daily tasks and audit compliance using AWS Lambda Deploy microservices applications on Kubernetes using Jenkins Pipeline 2.0 In Detail AWS CodeDeploy, AWS CodeBuild, and CodePipeline are scalable services offered by AWS that automate an application's build and deployment pipeline. In order to deliver tremendous speed and agility, every organization is moving toward automating an entire application pipeline. This book will cover all the AWS services required to automate your deployment to your instances. You'll begin by setting up and using one of the AWS services for automation – CodeCommit. Next, you'll learn how to build a sample Maven and NodeJS Application using CodeBuild. After you've built the application, you'll see how to use CodeDeploy to deploy the application in EC2/Autoscaling. You'll also build a highly scalable and fault tolerant continuous integration (CI)/continuous deployment (CD) pipeline using some easy-to-follow recipes. Following this, you'll achieve CI/CD for Microservices application and reduce the risk within your software development lifecycle. You'll also learn to set up an infrastructure using CloudFormation Template and Ansible, and see how to automate AWS resources using AWS Lambda. Finally, you'll learn to automate instances in AWS and automate the deployment lifecycle of applications.By the end of this book, you'll be able to minimize application downtime and implement CI/CD, gaining total control over your software development lifecycle. Style and approach This book takes a "How to do it" approach, providing with easy solutions to automate common maintenance and deployment tasks.

Network Automation Cookbook

Author : Karim Okasha
Publisher : Packt Publishing Ltd
ISBN 13 : 1789951879
Total Pages : 472 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Network Automation Cookbook by : Karim Okasha

Download or read book Network Automation Cookbook written by Karim Okasha and published by Packt Publishing Ltd. This book was released on 2020-04-17 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take your network automation skills to the next level with practical recipes on managing network devices from a variety of vendors like Cisco, Juniper, and Arista Key FeaturesUse Ansible to automate network infrastructure with the help of step-by-step instructionsImplement network automation best practices to save cost, avoid critical errors, and reduce downtimeDeliver a robust automation framework by integrating Ansible with NAPALM, NetBox, and BatfishBook Description Network Automation Cookbook is designed to help system administrators, network engineers, and infrastructure automation engineers to centrally manage switches, routers, and other devices in their organization's network. This book will help you gain hands-on experience in automating enterprise networks and take you through core network automation techniques using the latest version of Ansible and Python. With the help of practical recipes, you'll learn how to build a network infrastructure that can be easily managed and updated as it scales through a large number of devices. You'll also cover topics related to security automation and get to grips with essential techniques to maintain network robustness. As you make progress, the book will show you how to automate networks on public cloud providers such as AWS, Google Cloud Platform, and Azure. Finally, you will get up and running with Ansible 2.9 and discover troubleshooting techniques and network automation best practices. By the end of this book, you'll be able to use Ansible to automate modern network devices and integrate third-party tools such as NAPALM, NetBox, and Batfish easily to build robust network automation solutions. What you will learnUnderstand the various components of AnsibleAutomate network resources in AWS, GCP, and Azure cloud solutionsUse IaC concepts to design and build network solutionsAutomate network devices such as Cisco, Juniper, Arista, and F5Use NetBox to build network inventory and integrate it with AnsibleValidate networks using Ansible and BatfishWho this book is for This Ansible network automation book is for network and DevOps engineers interested in automating complex network tasks. Prior understanding of networking and basic Linux knowledge is required.

Ansible 2 Cloud Automation Cookbook

Author : Aditya Patawari
Publisher : Packt Publishing Ltd
ISBN 13 : 1788298772
Total Pages : 191 pages
Book Rating : 4.7/5 (882 download)

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Book Synopsis Ansible 2 Cloud Automation Cookbook by : Aditya Patawari

Download or read book Ansible 2 Cloud Automation Cookbook written by Aditya Patawari and published by Packt Publishing Ltd. This book was released on 2018-02-28 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Orchestrate your cloud infrastructure Key Features Recipe-based approach to install and configure cloud resources using Ansible Covers various cloud-related modules and their functionalities Includes deployment of a sample application to the cloud resources that we create Learn the best possible way to manage and automate your cloud infrastructure Book Description Ansible has a large collection of inbuilt modules to manage various cloud resources. The book begins with the concepts needed to safeguard your credentials and explain how you interact with cloud providers to manage resources. Each chapter begins with an introduction and prerequisites to use the right modules to manage a given cloud provider. Learn about Amazon Web Services, Google Cloud, Microsoft Azure, and other providers. Each chapter shows you how to create basic computing resources, which you can then use to deploy an application. Finally, you will be able to deploy a sample application to demonstrate various usage patterns and utilities of resources. What you will learn Use Ansible Vault to protect secrets Understand how Ansible modules interact with cloud providers to manage resources Build cloud-based resources for your application Create resources beyond simple virtual machines Write tasks that can be reused to create resources multiple times Work with self-hosted clouds such as OpenStack and Docker Deploy a multi-tier application on various cloud providers Who this book is for If you are a system administrator, infrastructure engineer, or a DevOps engineer who wants to obtain practical knowledge about Ansible and its cloud deliverables, then this book is for you. Recipes in this book are designed for people who would like to manage their cloud infrastructures efficiently using Ansible, which is regarded as one of the best tools for cloud management and automation.

DevOps Automation Cookbook

Author : Ekambar Kumar Singirikonda
Publisher : BPB Publications
ISBN 13 : 9355519060
Total Pages : 437 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis DevOps Automation Cookbook by : Ekambar Kumar Singirikonda

Download or read book DevOps Automation Cookbook written by Ekambar Kumar Singirikonda and published by BPB Publications. This book was released on 2024-05-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automate, scale, and secure your DevOps workflows like a pro KEY FEATURES ● Master automation tools like Terraform, Ansible, Git, Jenkins, and more. ● Practical recipes for CI/CD pipelines, IaC, testing, and security. ● Leverage best practices to optimize and scale your DevOps processes. DESCRIPTION In the fast-paced world of software development, embracing DevOps practices is key to achieving rapid, reliable deployments. The DevOps Automation Cookbook equips you with a comprehensive toolkit to automate and streamline your workflows, from infrastructure provisioning to continuous integration and deployment. This book teaches readers how to automate infrastructure setup and deployment using IaC tools like Terraform and Ansible. It covers essential DevOps practices such as version control with Git, continuous integration with Jenkins or Travis, and automated testing with Selenium. The book also explains containerization with Docker and orchestration with Kubernetes for efficient app deployment. It highlights DevSecOps, focusing on security with Puppet, and explores using TeamCity for enforcing compliance policies in the DevOps workflow. Whether you are a seasoned DevOps practitioner or just starting your journey, the DevOps Automation Cookbook provides the insights and hands-on skills you need to take your automation game to the next level. Discover how to optimize your processes, scale your infrastructure, and deliver high-quality software faster than ever before. WHAT YOU WILL LEARN ● Automate infrastructure provisioning with Terraform and Ansible. ● Implement version control and collaboration with Git. ● Set up efficient CI/CD pipelines using Jenkins. ● Leverage containers with Docker and orchestrate with Kubernetes. ● Integrate automated testing and security into DevOps workflows. ● Apply configuration management using Puppet and Chef. WHO THIS BOOK IS FOR This book is for DevOps engineers, system administrators, and software developers seeking to automate infrastructure provisioning, deployment, and security within their workflows. TABLE OF CONTENTS 1. Introduction 2. Understanding Infrastructure as Code 3. Provisioning with Terraform 4. Version Control with Git 5. Introduction to Continuous Integration with Jenkins and Travis 6. Automated Testing in DevOps 7. Test Automation with Selenium 8. Understanding Containers and Orchestration 9. Deployment with Docker and Kubernetes 10. Introduction to Security in DevOps 11. Puppet and Security 12. Configuration Management with Chef 13. Ensuring Compliance with TeamCity 14. Implications and Future Directions

Chef Infrastructure Automation Cookbook - Second Edition

Author : Matthias Marschall
Publisher : Packt Publishing Ltd
ISBN 13 : 1785289012
Total Pages : 278 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Chef Infrastructure Automation Cookbook - Second Edition by : Matthias Marschall

Download or read book Chef Infrastructure Automation Cookbook - Second Edition written by Matthias Marschall and published by Packt Publishing Ltd. This book was released on 2015-05-29 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is for system engineers and administrators who have a fundamental understanding of information management systems and infrastructure. It helps if you've already played around with Chef; however, this book covers all the important topics you will need to know. If you don't want to dig through a whole book before you can get started, this book is for you, as it features a set of independent recipes you can try out immediately.

AWS SysOps Cookbook

Author : Eric Z. Beard
Publisher : Packt Publishing Ltd
ISBN 13 : 1838553916
Total Pages : 481 pages
Book Rating : 4.8/5 (385 download)

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Book Synopsis AWS SysOps Cookbook by : Eric Z. Beard

Download or read book AWS SysOps Cookbook written by Eric Z. Beard and published by Packt Publishing Ltd. This book was released on 2019-09-27 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become an AWS SysOps administrator and explore best practices to maintain a well-architected, resilient, and secure AWS environment Key FeaturesExplore AWS Cloud functionalities through a recipe-based approachGet to grips with a variety of techniques for automating your infrastructureDiscover industry-proven best practices for architecting reliable and efficient workloadsBook Description AWS is an on-demand remote computing service providing cloud infrastructure over the internet with storage, bandwidth, and customized support for APIs. This updated second edition will help you implement these services and efficiently administer your AWS environment. You will start with the AWS fundamentals and then understand how to manage multiple accounts before setting up consolidated billing. The book will assist you in setting up reliable and fast hosting for static websites, sharing data between running instances and backing up data for compliance. By understanding how to use compute service, you will also discover how to achieve quick and consistent instance provisioning. You’ll then learn to provision storage volumes and autoscale an app server. Next, you’ll explore serverless development with AWS Lambda, and gain insights into using networking and database services such as Amazon Neptune. The later chapters will focus on management tools like AWS CloudFormation, and how to secure your cloud resources and estimate costs for your infrastructure. Finally, you’ll use the AWS well-architected framework to conduct a technology baseline review self-assessment and identify critical areas for improvement in the management and operation of your cloud-based workloads. By the end of this book, you’ll have the skills to effectively administer your AWS environment. What you will learnSecure your account by creating IAM users and avoiding the use of the root loginSimplify the creation of a multi-account landing zone using AWS Control TowerMaster Amazon S3 for unlimited, cost-efficient storage of dataExplore a variety of compute resources on the AWS Cloud, such as EC2 and AWS LambdaConfigure secure networks using Amazon VPC, access control lists, and security groupsEstimate your monthly bill by using cost estimation toolsLearn to host a website with Amazon Route 53, Amazon CloudFront, and S3Who this book is for If you are an administrator, DevOps engineer, or an IT professional interested in exploring administrative tasks on the AWS Cloud, then this book is for you. Familiarity with cloud computing platforms and some understanding of virtualization, networking, and other administration-related tasks is assumed.

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.

AWS Cookbook

Author : John Culkin
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149209255X
Total Pages : 410 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis AWS Cookbook by : John Culkin

Download or read book AWS Cookbook written by John Culkin and published by "O'Reilly Media, Inc.". This book was released on 2021-12-02 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical guide provides over 70 self-contained recipes to help you creatively solve common AWS challenges you'll encounter on your cloud journey. If you're comfortable with rudimentary scripting and general cloud concepts, this cookbook provides what you need to address foundational tasks and create high-level capabilities. Authors John Culkin and Mike Zazon share real-world examples that incorporate best practices. Each recipe includes a diagram to visualize the components. Code is provided so that you can safely execute in an AWS account to ensure solutions work as described. From there, you can customize the code to help construct an application or fix an existing problem. Each recipe also includes a discussion to provide context, explain the approach, and challenge you to explore the possibilities further. Go beyond theory and learn the details you need to successfully build on AWS. The recipes help you: Redact personal identifiable information (PII) from text using Amazon Comprehend Automate password rotation for Amazon RDS databases Use VPC Reachability Analyzer to verify and troubleshoot network paths Lock down Amazon Simple Storage Service (S3) buckets Analyze AWS Identity and Access Management policies Autoscale a containerized service

Amazon Redshift Cookbook

Author : Shruti Worlikar
Publisher : Packt Publishing Ltd
ISBN 13 : 1800561849
Total Pages : 384 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Amazon Redshift Cookbook by : Shruti Worlikar

Download or read book Amazon Redshift Cookbook written by Shruti Worlikar and published by Packt Publishing Ltd. This book was released on 2021-07-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AWS Networking Cookbook

Author : Satyajit Das
Publisher : Packt Publishing Ltd
ISBN 13 : 178728624X
Total Pages : 361 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis AWS Networking Cookbook by : Satyajit Das

Download or read book AWS Networking Cookbook written by Satyajit Das and published by Packt Publishing Ltd. This book was released on 2017-08-24 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 50 recipes covering all you need to know about AWS networking About This Book Master AWS networking concepts with AWS Networking Cookbook. Design and implement highly available connectivity and multi-regioned AWS solutions A recipe-based guide that will eliminate the complications of AWS networking. A guide to automate networking services and features Who This Book Is For This book targets administrators, network engineers, and solution architects who are looking at optimizing their cloud platform's connectivity. Some basic understanding of AWS would be beneficial. What You Will Learn Create basic network in AWS Create production grade network in AWS Create global scale network in AWS Security and Compliance with AWS Network Troubleshooting, best practices and limitations of AWS network Pricing model of AWS network components Route 53 and Cloudfront concepts and routing policies VPC Automation using Ansible and CloudFormation In Detail This book starts with practical recipes on the fundamentals of cloud networking and gradually moves on to configuring networks and implementing infrastructure automation. This book then supplies in-depth recipes on networking components like Network Interface, Internet Gateways, DNS, Elastic IP addresses, and VPN CloudHub. Later, this book also delves into designing, implementing, and optimizing static and dynamic routing architectures, multi-region solutions, and highly available connectivity for your enterprise. Finally, this book will teach you to troubleshoot your VPC's network, increasing your VPC's efficiency. By the end of this book, you will have advanced knowledge of AWS networking concepts and technologies and will have mastered implementing infrastructure automation and optimizing your VPC. Style and approach A set of exciting recipes on using AWS Networking services more effectively.

Learning AWS

Author : Aurobindo Sarkar
Publisher : Packt Publishing Ltd
ISBN 13 : 1787289311
Total Pages : 401 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Learning AWS by : Aurobindo Sarkar

Download or read book Learning AWS written by Aurobindo Sarkar and published by Packt Publishing Ltd. This book was released on 2018-02-01 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover techniques and tools for building serverless applications with AWS Key Features Get well-versed with building and deploying serverless APIs with microservices Learn to build distributed applications and microservices with AWS Step Functions A step-by-step guide that will get you up and running with building and managing applications on the AWS platform Book Description Amazon Web Services (AWS) is the most popular and widely-used cloud platform. Administering and deploying application on AWS makes the applications resilient and robust. The main focus of the book is to cover the basic concepts of cloud-based development followed by running solutions in AWS Cloud, which will help the solutions run at scale. This book not only guides you through the trade-offs and ideas behind efficient cloud applications, but is a comprehensive guide to getting the most out of AWS. In the first section, you will begin by looking at the key concepts of AWS, setting up your AWS account, and operating it. This guide also covers cloud service models, which will help you build highly scalable and secure applications on the AWS platform. We will then dive deep into concepts of cloud computing with S3 storage, RDS and EC2. Next, this book will walk you through VPC, building realtime serverless environments, and deploying serverless APIs with microservices. Finally, this book will teach you to monitor your applications, and automate your infrastructure and deploy with CloudFormation. By the end of this book, you will be well-versed with the various services that AWS provides and will be able to leverage AWS infrastructure to accelerate the development process. What you will learn Set up your AWS account and get started with the basic concepts of AWS Learn about AWS terminology and identity access management Acquaint yourself with important elements of the cloud with features such as computing, ELB, and VPC Back up your database and ensure high availability by having an understanding of database-related services in the AWS cloud Integrate AWS services with your application to meet and exceed non-functional requirements Create and automate infrastructure to design cost-effective, highly available applications Who this book is for If you are an I.T. professional or a system architect who wants to improve infrastructure using AWS, then this book is for you. It is also for programmers who are new to AWS and want to build highly efficient, scalable applications.

Ansible DevOps Cookbook

Author : Thorne Montgomery
Publisher : GitforGits
ISBN 13 : 8119177738
Total Pages : 332 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Ansible DevOps Cookbook by : Thorne Montgomery

Download or read book Ansible DevOps Cookbook written by Thorne Montgomery and published by GitforGits. This book was released on 2024-07-08 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of over seventy-five solution-focused recipes, "Ansible DevOps Cookbook" will show you how to use Ansible to fix problems, simplify operations, and boost the efficiency of your DevOps practices. Clear, step-by-step directions are provided for every recipe in this cookbook, covering everything from basic setup to advanced techniques. You should start by creating an efficient inventory system, configuring control and managed nodes, and setting up your Ansible environment. You can implement effective solutions such as handling more complex playbook techniques, such as working with variables, facts, conditionals, loops, and more. You will be skillful to organize playbooks and create reusable automation with Ansible roles. You can increase your automation capabilities by accessing community-driven content through Ansible Galaxy, which is explained in the book. When it comes to cloud integration, the book goes into great detail on how to automate deployments on AWS, Azure, and GCP. These recipes show how to use Ansible modules for managing and provisioning cloud infrastructure, so you can manage resources efficiently and ensure high availability and performance. Ansible, Jenkins, and GitLab are among the many of the tools covered in this book, which teaches you to automate the build, test, and deployment pipeline as part of continuous integration and continuous delivery. From playbook errors to inventory management issues, this cookbook has solutions to fix it all. Ansible Tower and AWX are implemented in the last chapters to automate enterprise-grade tasks, including job scheduling, monitoring, and role-based access control. This book's practical, real-world solutions will help you improve your DevOps practices and maximize the effectiveness of Ansible in your automation processes. Key Learnings Gain the expertise and abilities needed to establish Ansible environments for efficient automation and management of DevOps processes. Discover sophisticated playbook strategies for optimizing task automation through the utilization of variables and handlers. Streamline cloud deployments on AWS, Azure, and GCP to ensure optimal availability and performance. Integrate Ansible with CI/CD tools such as Jenkins and GitLab to enable continuous delivery. Resolve playbook errors and address inventory management issues using effective solutions. Employ Ansible roles and Galaxy to implement scalable and reusable automation content. Deploy high-level automation using Ansible Tower and AWX, which includes robust role-based access control. Efficiently manage workflow by scheduling and monitoring Ansible jobs. Efficiently oversee both dynamic and static inventories, guaranteeing accurate allocation of resources. Table of Content Up and Running with Ansible Environment Writing and Running Playbooks Managing Inventories Advanced Playbook Techniques Ansible Plugins and Modules Provisioning on Windows and Mac Systems Ansible with AWS, Azure and GCP Managing CI/CD Ansible Tower and AWX

Machine Learning on Kubernetes

Author : Faisal Masood
Publisher : Packt Publishing Ltd
ISBN 13 : 1803231653
Total Pages : 385 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Machine Learning on Kubernetes by : Faisal Masood

Download or read book Machine Learning on Kubernetes written by Faisal Masood and published by Packt Publishing Ltd. This book was released on 2022-06-24 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a Kubernetes-based self-serving, agile data science and machine learning ecosystem for your organization using reliable and secure open source technologies Key Features Build a complete machine learning platform on Kubernetes Improve the agility and velocity of your team by adopting the self-service capabilities of the platform Reduce time-to-market by automating data pipelines and model training and deployment Book Description MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization. You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get hands-on experience in Kubernetes and open source tools, such as JupyterHub, MLflow, and Airflow. By the end of this book, you'll have learned how to effectively build, train, and deploy a machine learning model using the machine learning platform you built. What you will learn Understand the different stages of a machine learning project Use open source software to build a machine learning platform on Kubernetes Implement a complete ML project using the machine learning platform presented in this book Improve on your organization's collaborative journey toward machine learning Discover how to use the platform as a data engineer, ML engineer, or data scientist Find out how to apply machine learning to solve real business problems Who this book is for This book is for data scientists, data engineers, IT platform owners, AI product owners, and data architects who want to build their own platform for ML development. Although this book starts with the basics, a solid understanding of Python and Kubernetes, along with knowledge of the basic concepts of data science and data engineering will help you grasp the topics covered in this book in a better way.

Mastering GitLab 12

Author : Joost Evertse
Publisher : Packt Publishing Ltd
ISBN 13 : 1789534062
Total Pages : 586 pages
Book Rating : 4.7/5 (895 download)

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Book Synopsis Mastering GitLab 12 by : Joost Evertse

Download or read book Mastering GitLab 12 written by Joost Evertse and published by Packt Publishing Ltd. This book was released on 2019-08-02 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: An expert guide to helping you use DevOps techniques with the latest GitLab version to optimize and manage your software workflow Key FeaturesDelve into GitLab's architecture, and install and configure it to fit your environmentLearn about the underlying principles of Agile software development and DevOpsExplore Gitlab's features to manage enterprise cloud-native applications and servicesBook Description GitLab is an open source repository management and version control toolkit with functions for enterprises and personal software projects. It offers configurability options, extensions, and APIs that make it an ideal tool for enterprises to manage the software development life cycle. This book begins by explaining GitLab options and the components of the GitLab architecture. You will learn how to install and set up GitLab on-premises and in the cloud, along with understanding how to migrate code bases from different systems, such as GitHub, Concurrent Versions System, Team Foundation Version Control, and Subversion. Later chapters will help you implement DevOps culture by introducing the workflow management tools in GitLab and continuous integration/continuous deployment (CI/CD). In addition to this, the book will guide you through installing GitLab on a range of cloud platforms, monitoring with Prometheus, and deploying an environment with GitLab. You'll also focus on the GitLab CI component to assist you with creating development pipelines and jobs, along with helping you set up GitLab runners for your own project. Finally, you will be able to choose a high availability setup that fits your needs and helps you monitor and act on results obtained after testing. By the end of this book, you will have gained the expertise you need to use GitLab features effectively, and be able to integrate all phases in the development process. What you will learnInstall GitLab on premises and in the cloud using a variety of configurationsConduct data migration from the SVN, TFS, CVS, and GitHub platforms to GitLabUse GitLab runners to develop different types of configurations in software developmentPlan and perform CI/CD by using GitLab featuresMonitor and secure your software architecture using Prometheus and GrafanaImplement DevOps culture by introducing workflow management tools in GitLabWho this book is for If you are a software developer, DevOps professional, or any developer who wants to master GitLab for productive repository management in your day-to-day tasks, this book is for you. Basic understanding of the software development workflow is assumed.

AWS Administration Cookbook

Author : Lucas Chan
Publisher : Packt Publishing Ltd
ISBN 13 : 1787121526
Total Pages : 383 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis AWS Administration Cookbook by : Lucas Chan

Download or read book AWS Administration Cookbook written by Lucas Chan and published by Packt Publishing Ltd. This book was released on 2017-04-24 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build, automate, and manage your AWS-based cloud environments About This Book Install, configure, and administer computing, storage, and networking in the AWS cloud Automate your infrastructure and control every aspect of it through infrastructure as code Work through exciting recipes to administer your AWS cloud Who This Book Is For If you are an administrator, DevOps engineer, or an IT professional who is moving to an AWS-based cloud environment, then this book is for you. It assumes familiarity with cloud computing platforms, and that you have some understanding of virtualization, networking, and other administration-related tasks. What You Will Learn Discover the best practices to achieve an automated repeatable infrastructure in AWS Bring down your IT costs by managing AWS successfully and deliver high availability, fault tolerance, and scalability Make any website faster with static and dynamic caching Create monitoring and alerting dashboards using CloudWatch Migrate a database to AWS Set up consolidated billing to achieve simple and effective cost management with accounts Host a domain and find out how you can automate health checks In Detail Amazon Web Services (AWS) is a bundled remote computing service that provides cloud computing infrastructure over the Internet with storage, bandwidth, and customized support for application programming interfaces (API). Implementing these services to efficiently administer your cloud environments is a core task. This book will help you build and administer your cloud environment with AWS. We'll begin with the AWS fundamentals, and you'll build the foundation for the recipes you'll work on throughout the book. Next, you will find out how to manage multiple accounts and set up consolidated billing. You will then learn to set up reliable and fast hosting for static websites, share data between running instances, and back up your data for compliance. Moving on, you will find out how to use the compute service to enable consistent and fast instance provisioning, and will see how to provision storage volumes and autoscale an application server. Next, you'll discover how to effectively use the networking and database service of AWS. You will also learn about the different management tools of AWS along with securing your AWS cloud. Finally, you will learn to estimate the costs for your cloud. By the end of the book, you will be able to easily administer your AWS cloud. Style and approach This practical guide is packed with clear, practical, instruction-based recipes that will enable you to use and implement the latest features of AWS.

Technical Debt in Practice

Author : Neil Ernst
Publisher : MIT Press
ISBN 13 : 0262542110
Total Pages : 305 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Technical Debt in Practice by : Neil Ernst

Download or read book Technical Debt in Practice written by Neil Ernst and published by MIT Press. This book was released on 2021-08-17 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The practical implications of technical debt for the entire software lifecycle; with examples and case studies. Technical debt in software is incurred when developers take shortcuts and make ill-advised technical decisions in the initial phases of a project, only to be confronted with the need for costly and labor-intensive workarounds later. This book offers advice on how to avoid technical debt, how to locate its sources, and how to remove it. It focuses on the practical implications of technical debt for the entire software life cycle, with examples and case studies from companies that range from Boeing to Twitter. Technical debt is normal; it is part of most iterative development processes. But if debt is ignored, over time it may become unmanageably complex, requiring developers to spend all of their effort fixing bugs, with no time to add new features--and after all, new features are what customers really value. The authors explain how to monitor technical debt, how to measure it, and how and when to pay it down. Broadening the conventional definition of technical debt, they cover requirements debt, implementation debt, testing debt, architecture debt, documentation debt, deployment debt, and social debt. They intersperse technical discussions with "Voice of the Practitioner" sidebars that detail real-world experiences with a variety of technical debt issues.

Machine Learning with Amazon SageMaker Cookbook

Author : Joshua Arvin Lat
Publisher : Packt Publishing Ltd
ISBN 13 : 1800566123
Total Pages : 763 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Machine Learning with Amazon SageMaker Cookbook by : Joshua Arvin Lat

Download or read book Machine Learning with Amazon SageMaker Cookbook written by Joshua Arvin Lat and published by Packt Publishing Ltd. This book was released on 2021-10-29 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step solution-based guide to preparing building, training, and deploying high-quality machine learning models with Amazon SageMaker Key FeaturesPerform ML experiments with built-in and custom algorithms in SageMakerExplore proven solutions when working with TensorFlow, PyTorch, Hugging Face Transformers, and scikit-learnUse the different features and capabilities of SageMaker to automate relevant ML processesBook Description Amazon SageMaker is a fully managed machine learning (ML) service that helps data scientists and ML practitioners manage ML experiments. In this book, you'll use the different capabilities and features of Amazon SageMaker to solve relevant data science and ML problems. This step-by-step guide features 80 proven recipes designed to give you the hands-on machine learning experience needed to contribute to real-world experiments and projects. You'll cover the algorithms and techniques that are commonly used when training and deploying NLP, time series forecasting, and computer vision models to solve ML problems. You'll explore various solutions for working with deep learning libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers in Amazon SageMaker. You'll also learn how to use SageMaker Clarify, SageMaker Model Monitor, SageMaker Debugger, and SageMaker Experiments to debug, manage, and monitor multiple ML experiments and deployments. Moreover, you'll have a better understanding of how SageMaker Feature Store, Autopilot, and Pipelines can meet the specific needs of data science teams. By the end of this book, you'll be able to combine the different solutions you've learned as building blocks to solve real-world ML problems. What you will learnTrain and deploy NLP, time series forecasting, and computer vision models to solve different business problemsPush the limits of customization in SageMaker using custom container imagesUse AutoML capabilities with SageMaker Autopilot to create high-quality modelsWork with effective data analysis and preparation techniquesExplore solutions for debugging and managing ML experiments and deploymentsDeal with bias detection and ML explainability requirements using SageMaker ClarifyAutomate intermediate and complex deployments and workflows using a variety of solutionsWho this book is for This book is for developers, data scientists, and machine learning practitioners interested in using Amazon SageMaker to build, analyze, and deploy machine learning models with 80 step-by-step recipes. All you need is an AWS account to get things running. Prior knowledge of AWS, machine learning, and the Python programming language will help you to grasp the concepts covered in this book more effectively.