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| docker commands cheat sheet: Mastering Docker Cybellium Ltd, Unleash the Potential of Containerization for Modern Applications In the dynamic landscape of software development and deployment, containerization has emerged as a transformative technology. Mastering Docker is your ultimate guide to understanding and harnessing the power of Docker—a platform that simplifies the way you build, ship, and run applications across various environments with unparalleled efficiency. About the Book: As applications become more complex and require flexible deployment strategies, Docker has become an essential tool for developers and IT professionals alike. Mastering Docker provides a comprehensive exploration of Docker—a revolutionary containerization platform. This book caters to both beginners and experienced practitioners looking to enhance their containerization skills. Key Features: Docker Fundamentals: Begin by grasping the core concepts of Docker. Understand how containers work and how they revolutionize the deployment process. Containerization Benefits: Dive into the advantages of containerization, including isolation, portability, and scalability. Learn how Docker streamlines the development and deployment lifecycle. Docker Images and Containers: Explore the creation of Docker images and containers. Learn how to package applications, dependencies, and configuration into portable containers. Orchestration with Docker Compose: Grasp the art of orchestrating multi-container applications using Docker Compose. Learn how to define and manage complex application setups. Docker Networking: Delve into Docker networking concepts. Understand how containers communicate with each other and with external systems using various network modes. Container Security: Explore best practices for securing Docker containers. Learn about isolation, image scanning, and techniques to minimize vulnerabilities. Scaling and Load Balancing: Grasp the techniques for scaling containerized applications using Docker Swarm and Kubernetes. Learn how to distribute workloads and ensure high availability. Continuous Integration and Deployment: Understand how Docker integrates into CI/CD pipelines. Explore strategies for automating testing, building, and deploying containers. Why This Book Matters: In an era where agility, scalability, and reliability are paramount, mastering Docker offers a competitive advantage. Mastering Docker empowers developers, DevOps engineers, and technology enthusiasts to leverage Docker's potential, enabling them to build, deploy, and manage applications that thrive in diverse environments. Unleash the Power of Containerization: In the landscape of modern software development, Docker has become synonymous with streamlined deployment and scalability. Mastering Docker equips you with the knowledge needed to leverage Docker's capabilities, enabling you to build efficient, portable, and scalable applications that thrive in the era of containerization. Whether you're an experienced practitioner or new to the field, this book will guide you in building a solid foundation for effective containerization. Your journey to mastering Docker starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com |
| docker commands cheat sheet: Learn Docker – Fundamentals of Docker 19.x Gabriel N. Schenker, 2020-03-13 Explore the core functionality of containerizing your applications and making them production-ready Key FeaturesGrasp basic to advanced Docker concepts with this comprehensive guideGet acquainted with Docker containers, Docker images, orchestrators, cloud integration, and networkingLearn to simplify dependencies and deploy and test containers in productionBook Description Containers enable you to package an application with all the components it needs, such as libraries and other dependencies, and ship it as one package. Docker containers have revolutionized the software supply chain in both small and large enterprises. Starting with an introduction to Docker fundamentals and setting up an environment to work with it, you’ll delve into concepts such as Docker containers, Docker images, and Docker Compose. As you progress, the book will help you explore deployment, orchestration, networking, and security. Finally, you’ll get to grips with Docker functionalities on public clouds such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP), and learn about Docker Enterprise Edition features. Additionally, you’ll also discover the benefits of increased security with the use of containers. By the end of this Docker book, you’ll be able to build, ship, and run a containerized, highly distributed application on Docker Swarm or Kubernetes, running on-premises or in the cloud. What you will learnContainerize your traditional or microservice-based applicationsDevelop, modify, debug, and test an application running inside a containerShare or ship your application as an immutable container imageBuild a Docker Swarm and a Kubernetes cluster in the cloudRun a highly distributed application using Docker Swarm or KubernetesUpdate or rollback a distributed application with zero downtimeSecure your applications with encapsulation, networks, and secretsTroubleshoot a containerized, highly distributed application in the cloudWho this book is for This book is for Linux professionals, system administrators, operations engineers, DevOps engineers, and developers or stakeholders who are interested in getting started with Docker from scratch. No prior experience with Docker containers is required. Users with a Linux system would be able to take full advantage of this book. |
| docker commands cheat sheet: Learn Docker - Fundamentals of Docker 18.x Gabriel N. Schenker, 2018-04-26 Enhance your software deployment workflow using containers Key Features ●Get up-and-running with basic to advanced concepts of Docker ●Get acquainted with concepts such as Docker containers, Docker images, orchestrators and so on. ●Practical test-based approach to learning a prominent containerization tool Book Description Docker containers have revolutionized the software supply chain in small and big enterprises. Never before has a new technology so rapidly penetrated the top 500 enterprises worldwide. Companies that embrace containers and containerize their traditional mission-critical applications have reported savings of at least 50% in total maintenance cost and a reduction of 90% (or more) of the time required to deploy new versions of those applications. Furthermore they are benefitting from increased security just by using containers as opposed to running applications outside containers. This book starts from scratch, introducing you to Docker fundamentals and setting up an environment to work with it. Then we delve into concepts such as Docker containers, Docker images, Docker Compose, and so on. We will also cover the concepts of deployment, orchestration, networking, and security. Furthermore, we explain Docker functionalities on public clouds such as AWS. By the end of this book, you will have hands-on experience working with Docker containers and orchestrators such as SwarmKit and Kubernetes. What you will learn ●Containerize your traditional or microservice-based application ●Share or ship your application as an immutable container image ●Build a Docker swarm and a Kubernetes cluster in the cloud ●Run a highly distributed application using Docker Swarm or Kubernetes ●Update or rollback a distributed application with zero downtime ●Secure your applications via encapsulation, networks, and secrets ●Know your options when deploying your containerized app into the cloud Who this book is for This book is targeted at system administrators, operations engineers, DevOps engineers, and developers or stakeholders who are interested in getting started with Docker from scratch. No prior experience with Docker Containers is required. |
| docker commands cheat sheet: The Ultimate Docker Container Book Dr. Gabriel N. Schenker, 2023-08-31 Build, ship, and run containers from scratch with Docker and Kubernetes be it on premise or in the cloud Key Features Master Docker container setup, operation, and debugging Use Docker compose for managing multi-service applications Navigate orchestrators like Kubernetes and Docker swarmkit Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Ultimate Docker Container Book, 3rd edition enables you to leverage Docker containers for streamlined software development. You’ll uncover Docker fundamentals and how containers improve software supply chain efficiency and enhance security. You’ll start by learning practical skills such as setting up Docker environments, handling stateful components, running and testing code within containers, and managing Docker images. You’ll also explore how to adapt legacy applications for containerization and understand distributed application architecture. Next, you’ll delve into Docker's networking model, software-defined networks for secure applications, and Docker compose for managing multi-service applications along with tools for log analysis and metrics. You’ll further deepen your understanding of popular orchestrators like Kubernetes and Docker swarmkit, exploring their key concepts, and deployment strategies for resilient applications. In the final sections, you’ll gain insights into deploying containerized applications on major cloud platforms, including Azure, AWS, and GCE and discover techniques for production monitoring and troubleshooting. By the end of this book, you’ll be well-equipped to manage and scale containerized applications effectively.What you will learn Understand the benefits of using containers Manage Docker containers effectively Create and manage Docker images Explore data volumes and environment variables Master distributed application architecture Deep dive into Docker networking Use Docker Compose for multi-service apps Deploy apps on major cloud platforms Who this book is for This book is for Linux professionals, system administrators, operations engineers, DevOps engineers, software architects, and developers looking to work with Docker and Kubernetes from scratch. A basic understanding of Docker containers is recommended, but no prior knowledge of Kubernetes is required. Familiarity with scripting tools such as Bash or PowerShell will be advantageous. |
| docker commands cheat sheet: Getting Started with Containerization Gabriel N. Schenker, Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu, 2019-03-27 Choose the smarter way to learn about containerizing your applications and running them in production. Key FeaturesDeploy and manage highly scalable, containerized applications with KubernetesBuild high-availability Kubernetes clustersSecure your applications via encapsulation, networks, and secretsBook Description Kubernetes is an open source orchestration platform for managing containers in a cluster environment. This Learning Path introduces you to the world of containerization, in addition to providing you with an overview of Docker fundamentals. As you progress, you will be able to understand how Kubernetes works with containers. Starting with creating Kubernetes clusters and running applications with proper authentication and authorization, you'll learn how to create high-availability Kubernetes clusters on Amazon Web Services (AWS), and also learn how to use kubeconfig to manage different clusters. Whether it is learning about Docker containers and Docker Compose, or building a continuous delivery pipeline for your application, this Learning Path will equip you with all the right tools and techniques to get started with containerization. By the end of this Learning Path, you will have gained hands-on experience of working with Docker containers and orchestrators, including SwarmKit and Kubernetes. This Learning Path includes content from the following Packt products: Kubernetes Cookbook - Second Edition by Hideto Saito, Hui-Chuan Chloe Lee, and Ke-Jou Carol HsuLearn Docker - Fundamentals of Docker 18.x by Gabriel N. SchenkerWhat you will learnBuild your own container clusterRun a highly distributed application with Docker Swarm or KubernetesUpdate or rollback a distributed application with zero downtimeContainerize your traditional or microservice-based applicationBuild a continuous delivery pipeline for your applicationTrack metrics and logs for every container in your clusterImplement container orchestration to streamline deploying and managing applicationsWho this book is for This beginner-level Learning Path is designed for system administrators, operations engineers, DevOps engineers, and developers who want to get started with Docker and Kubernetes. Although no prior experience with Docker is required, basic knowledge of Kubernetes and containers will be helpful. |
| docker commands cheat sheet: Jakarta EE Cookbook Elder Moraes, 2020-05-29 An enterprise Java developer's guide to learning JAX-RS, context and dependency injection, JavaServer Faces (JSF), and microservices with Eclipse MicroProfile using the latest features of Jakarta EE Key FeaturesExplore Jakarta EE's latest features and API specifications and discover their benefitsBuild and deploy microservices using Jakarta EE 8 and Eclipse MicroProfileBuild robust RESTful web services for various enterprise scenarios using the JAX-RS, JSON-P, and JSON-B APIsBook Description Jakarta EE is widely used around the world for developing enterprise applications for a variety of domains. With this book, Java professionals will be able to enhance their skills to deliver powerful enterprise solutions using practical recipes. This second edition of the Jakarta EE Cookbook takes you through the improvements introduced in its latest version and helps you get hands-on with its significant APIs and features used for server-side development. You'll use Jakarta EE for creating RESTful web services and web applications with the JAX-RS, JSON-P, and JSON-B APIs and learn how you can improve the security of your enterprise solutions. Not only will you learn how to use the most important servers on the market, but you'll also learn to make the best of what they have to offer for your project. From an architectural point of view, this Jakarta book covers microservices, cloud computing, and containers. It allows you to explore all the tools for building reactive applications using Jakarta EE and core Java features such as lambdas. Finally, you'll discover how professionals can improve their projects by engaging with and contributing to the community. By the end of this book, you'll have become proficient in developing and deploying enterprise applications using Jakarta EE. What you will learnWork with Jakarta EE's most commonly used APIs and features for server-side developmentEnable fast and secure communication in web applications with the help of HTTP2Build enterprise applications with reusable componentsBreak down monoliths into microservices using Jakarta EE and Eclipse MicroProfileImprove your enterprise applications with multithreading and concurrencyRun applications in the cloud with the help of containersGet to grips with continuous delivery and deployment for shipping your applications effectivelyWho this book is for This book is for Java EE developers who want to build enterprise applications or update their legacy apps with Jakarta EE's latest features and specifications. Some experience of working with Java EE and knowledge of web and cloud computing will assist with understanding the concepts covered in this book. |
| docker commands cheat sheet: How to Hack Like a Ghost Sparc Flow, 2021-05-11 How to Hack Like a Ghost takes you deep inside the mind of a hacker as you carry out a fictionalized attack against a tech company, teaching cutting-edge hacking techniques along the way. Go deep into the mind of a master hacker as he breaks into a hostile, cloud-based security environment. Sparc Flow invites you to shadow him every step of the way, from recon to infiltration, as you hack a shady, data-driven political consulting firm. While the target is fictional, the corporation’s vulnerabilities are based on real-life weaknesses in today’s advanced cybersecurity defense systems. You’ll experience all the thrills, frustrations, dead-ends, and eureka moments of his mission first-hand, while picking up practical, cutting-edge techniques for penetrating cloud technologies. There are no do-overs for hackers, so your training starts with basic OpSec procedures, using an ephemeral OS, Tor, bouncing servers, and detailed code to build an anonymous, replaceable hacking infrastructure guaranteed to avoid detection. From there, you’ll examine some effective recon techniques, develop tools from scratch, and deconstruct low-level features in common systems to gain access to the target. Spark Flow’s clever insights, witty reasoning, and stealth maneuvers teach you how to think on your toes and adapt his skills to your own hacking tasks. You'll learn: How to set up and use an array of disposable machines that can renew in a matter of seconds to change your internet footprint How to do effective recon, like harvesting hidden domains and taking advantage of DevOps automation systems to trawl for credentials How to look inside and gain access to AWS’s storage systems How cloud security systems like Kubernetes work, and how to hack them Dynamic techniques for escalating privileges Packed with interesting tricks, ingenious tips, and links to external resources, this fast-paced, hands-on guide to penetrating modern cloud systems will help hackers of all stripes succeed on their next adventure. |
| docker commands cheat sheet: DevOps for Data Science Alex Gold, 2024-06-19 Data Scientists are experts at analyzing, modelling and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter. Born out of the agile software movement, DevOps is a set of practices, principles and tools that help software engineers reliably deploy work to production. This book takes the lessons of DevOps and aplies them to creating and delivering production-grade data science projects in Python and R. This book’s first section explores how to build data science projects that deploy to production with no frills or fuss. Its second section covers the rudiments of administering a server, including Linux, application, and network administration before concluding with a demystification of the concerns of enterprise IT/Administration in its final section, making it possible for data scientists to communicate and collaborate with their organization’s security, networking, and administration teams. Key Features: • Start-to-finish labs take readers through creating projects that meet DevOps best practices and creating a server-based environment to work on and deploy them. • Provides an appendix of cheatsheets so that readers will never be without the reference they need to remember a Git, Docker, or Command Line command. • Distills what a data scientist needs to know about Docker, APIs, CI/CD, Linux, DNS, SSL, HTTP, Auth, and more. • Written specifically to address the concern of a data scientist who wants to take their Python or R work to production. There are countless books on creating data science work that is correct. This book, on the otherhand, aims to go beyond this, targeted at data scientists who want their work to be than merely accurate and deliver work that matters. |
| docker commands cheat sheet: Bootstrapping Microservices with Docker, Kubernetes, and Terraform Ashley Davis, 2021-01-23 Summary The best way to learn microservices development is to build something! Bootstrapping Microservices with Docker, Kubernetes, and Terraform guides you from zero through to a complete microservices project, including fast prototyping, development, and deployment. You’ll get your feet wet using industry-standard tools as you learn and practice the practical skills you’ll use for every microservices application. Following a true bootstrapping approach, you’ll begin with a simple, familiar application and build up your knowledge and skills as you create and deploy a real microservices project. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Taking microservices from proof of concept to production is a complex, multi-step operation relying on tools like Docker, Terraform, and Kubernetes for packaging and deployment. The best way to learn the process is to build a project from the ground up, and that’s exactly what you’ll do with this book! About the book In Bootstrapping Microservices with Docker, Kubernetes, and Terraform, author Ashley Davis lays out a comprehensive approach to building microservices. You’ll start with a simple design and work layer-by-layer until you’ve created your own video streaming application. As you go, you’ll learn to configure cloud infrastructure with Terraform, package microservices using Docker, and deploy your finished project to a Kubernetes cluster. What's inside Developing and testing microservices applications Working with cloud providers Applying automated testing Implementing infrastructure as code and setting up a continuous delivery pipeline Monitoring, managing, and troubleshooting About the reader Examples are in JavaScript. No experience with microservices, Kubernetes, Terraform, or Docker required. About the author Ashley Davis is a software developer, entrepreneur, stock trader, and the author of Manning’s Data Wrangling with JavaScript. Table of Contents 1 Why microservices? 2 Creating your first microservice 3 Publishing your first microservice 4 Data management for microservices 5 Communication between microservices 6 Creating your production environment 7 Getting to continuous delivery 8 Automated testing for microservices 9 Exploring FlixTube 10 Healthy microservices 11 Pathways to scalability |
| docker commands cheat sheet: Java EE 8 Cookbook Elder Moraes, 2018-04-09 A practical guide for building effective enterprise solutions with Java EE 8 Key Features Recipes to get you up-and-running with Java EE 8 application development Learn how to apply the major Java EE 8 APIs and specifications Implement microservices and Reactive programming with Java EE 8 Book Description Java EE is a collection of technologies and APIs to support Enterprise Application development. The choice of what to use and when can be dauntingly complex for any developer. This book will help you master this. Packed with easy to follow recipes, this is your guide to becoming productive with Java EE 8. You will begin by seeing the latest features of Java EE 8, including major Java EE 8 APIs and specifications such as JSF 2.3, and CDI 2.0, and what they mean for you. You will use the new features of Java EE 8 to implement web-based services for your client applications. You will then learn to process the Model and Streaming APIs using JSON-P and JSON-B and will learn to use the Java Lambdas support offered in JSON-P. There are more recipes to fine-tune your RESTful development, and you will learn about the Reactive enhancements offered by the JAX-RS 2.1 specification. Later on, you will learn about the role of multithreading in your enterprise applications and how to integrate them for transaction handling. This is followed by implementing microservices with Java EE and the advancements made by Java EE for cloud computing. The final set of recipes shows you how take advantage of the latest security features and authenticate your enterprise application. At the end of the book, the Appendix shows you how knowledge sharing can change your career and your life. What you will learn Actionable information on the new features of Java EE 8 Using the most important APIs with real and working code Building server side applications, web services, and web applications Deploying and managing your application using the most important Java EE servers Building and deploying microservices using Java EE 8 Building Reactive application by joining Java EE APIs and core Java features Moving your application to the cloud using containers Practical ways to improve your projects and career through community involvement Who this book is for This book is for developers who want to become proficient with Java EE 8 for their enterprise application development. Basic knowledge of Java is assumed |
| docker commands cheat sheet: Kubernetes and Docker - An Enterprise Guide Scott Surovich, Marc Boorshtein, 2020-11-06 Apply Kubernetes beyond the basics of Kubernetes clusters by implementing IAM using OIDC and Active Directory, Layer 4 load balancing using MetalLB, advanced service integration, security, auditing, and CI/CD Key Features Find out how to add enterprise features to a Kubernetes cluster with theory and exercises to guide you Understand advanced topics including load balancing, externalDNS, IDP integration, security, auditing, backup, and CI/CD Create development clusters for unique testing requirements, including running multiple clusters on a single server to simulate an enterprise environment Book DescriptionContainerization has changed the DevOps game completely, with Docker and Kubernetes playing important roles in altering the flow of app creation and deployment. This book will help you acquire the knowledge and tools required to integrate Kubernetes clusters in an enterprise environment. The book begins by introducing you to Docker and Kubernetes fundamentals, including a review of basic Kubernetes objects. You’ll then get to grips with containerization and understand its core functionalities, including how to create ephemeral multinode clusters using kind. As you make progress, you’ll learn about cluster architecture, Kubernetes cluster deployment, and cluster management, and get started with application deployment. Moving on, you’ll find out how to integrate your container to a cloud platform and integrate tools including MetalLB, externalDNS, OpenID connect (OIDC), pod security policies (PSPs), Open Policy Agent (OPA), Falco, and Velero. Finally, you will discover how to deploy an entire platform to the cloud using continuous integration and continuous delivery (CI/CD). By the end of this Kubernetes book, you will have learned how to create development clusters for testing applications and Kubernetes components, and be able to secure and audit a cluster by implementing various open-source solutions including OpenUnison, OPA, Falco, Kibana, and Velero.What you will learn Create a multinode Kubernetes cluster using kind Implement Ingress, MetalLB, and ExternalDNS Configure a cluster OIDC using impersonation Map enterprise authorization to Kubernetes Secure clusters using PSPs and OPA Enhance auditing using Falco and EFK Back up your workload for disaster recovery and cluster migration Deploy to a platform using Tekton, GitLab, and ArgoCD Who this book is for This book is for anyone interested in DevOps, containerization, and going beyond basic Kubernetes cluster deployments. DevOps engineers, developers, and system administrators looking to enhance their IT career paths will also find this book helpful. Although some prior experience with Docker and Kubernetes is recommended, this book includes a Kubernetes bootcamp that provides a description of Kubernetes objects to help you if you are new to the topic or need a refresher. |
| docker commands cheat sheet: Introducing Azure Kubernetes Service Steve Buchanan, Janaka Rangama, Ned Bellavance, 2019-12-09 Go from zero to sixty deploying and running a Kubernetes cluster on Microsoft Azure! This hands-on practical guide to Microsoft’s Azure Kubernetes Service (AKS), a managed container orchestration platform, arms you with the tools and knowledge you need to easily deploy and operate on this complex platform. Take a journey inside Docker containers, container registries, Kubernetes architecture, Kubernetes components, and core Kubectl commands. Drawing on hard-earned experience in the field, the authors provide just enough theory to help you grasp important concepts, teaching the practical straightforward knowledge you need to start running your own AKS cluster. You will dive into topics related to the deployment and operation of AKS, including Rancher for management, security, networking, storage, monitoring, backup, scaling, identity, package management with HELM, and AKS in CI/CD. What You Will Learn Develop core knowledge of Docker containers, registries, and KubernetesGain AKS skills for Microsoft’s fastest growing services in the cloud Understand the pros and cons of deploying and operating AKSDeploy and manage applications on the AKS platform Use AKS within a DevOps CI/CD process Who This Book Is For IT professionals who work with DevOps, the cloud, Docker, networking, storage, Linux, or Windows. Experience with cloud, DevOps, Docker, or application development is helpful. |
| docker commands cheat sheet: Hands-On Docker for Microservices with Python Jaime Buelta, 2019-11-22 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. |
| docker commands cheat sheet: An Atypical ASP.NET Core 6 Design Patterns Guide Carl-Hugo Marcotte, Abdelhamid Zebdi, 2022-03-28 The professional developer's essential guide to building robust, maintainable, and flexible web apps by leveraging C# 10 and .NET 6 features and component- and application-scale design patterns Key FeaturesApply the SOLID architectural principles and software design patterns effectively with a focus on dependency injectionDiscover modern application architectures such as vertical slice, clean architecture, and event-driven microservicesExplore full-stack ASP.NET Core with an overview of BlazorBook Description An Atypical ASP.NET Core 6 Design Patterns Guide, Second Edition approaches programming like playing with LEGO®: snapping small pieces together to create something beautiful. Thoroughly updated for ASP.NET Core 6, with further coverage of microservices patterns, data contracts, and event-driven architecture, this book gives you the tools to build and glue reliable components together to improve your programmatic masterpieces. The chapters are organized based on scale and topic, allowing you to start small and build on a strong base, the same way that you would develop a program. You will begin by exploring basic design patterns, SOLID architectural principles, dependency injection, and other ASP.NET Core 6 mechanisms. You will explore component-scale patterns, and then move to higher level application-scale patterns and techniques to better structure your applications. Finally, you'll advance to the client side to connect the dots with tools like Blazor and make ASP.NET Core a viable full-stack web development framework. You will supplement your learning with practical use cases and best practices, exploring a range of significant Gang of Four (GoF) design patterns along the way. By the end of the book, you will be comfortable combining and implementing patterns in different ways, and crafting software solutions of any scale. What you will learnApply the SOLID principles for building flexible and maintainable softwareGet to grasp .NET dependency InjectionWork with GoF design patterns such as strategy, decorator, facade, and compositeExplore the MVC patterns for designing web APIs and web applications using RazorDiscover layering techniques and tenets of clean architectureBecome familiar with CQRS and vertical slice architecture as an alternate to layeringUnderstand microservices and when they can benefit your applicationsBuild an ASP.NET user interfaces from server-side to client-side BlazorWho this book is for The book is intended for intermediate software and web developers with an understanding of .NET who want to write flexible, maintainable, and robust code for building scalable web applications. Knowledge of C# programming and an understanding of web concepts like HTTP is necessary. |
| docker commands cheat sheet: Django in Production Arghya Saha, 2024-04-05 Enhance your Django skills and elevate your employability by mastering the tools and practices employed by seasoned senior developers Key Features Gain a comprehensive understanding of the available deployment strategies for Django applications Explore techniques and best practices to enhance the efficiency and performance of your Django application Troubleshoot common production issues through efficient error logging and handling techniques Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionYou may have got your first Django developer job after a six-week bootcamp or online course, and that’s great, but what’s next? In small companies, mentorship can be hard to come by and gaining the traits of a senior developer without that can take a long time. This is precisely where Django in Production comes into play. This book will first delve into the true meaning of good practice and help you understand the rationale behind industry professionals building websites in specific ways to develop a solid foundation for your Django projects. Next, you will uncover hidden Django secrets through hands-on exploration, leveraging the power of Docker and version control to your advantage. You will gain insights into mastering Git hooks for efficient code maintenance, establishing a robust CI pipeline, and harnessing the capabilities of AWS Beanstalk. These tools will empower you to develop highly scalable products—an essential skill set for aspiring developers transitioning from junior to senior roles. Later, you will understand the significance of monitoring and be introduced to industry-standard tools utilized by professionals for effective monitoring practices. By the end of this book, you will have set yourself apart from the crowd, equipped with the knowledge and expertise to thrive as a seasoned Django developer.What you will learn Write scalable and maintainable code like a Django expert Become proficient in Docker for Django and experience platform-agnostic development Explore intelligent practices for continuous integration Leverage the power of AWS to seamlessly deploy your application in a production environment Optimize unstable systems through effective performance monitoring Effortlessly handle authentication and authorization issues Automate repetitive tasks by creating custom middleware Thoroughly test your code using factory_boy and craft comprehensive API tests Who this book is for This book is for Python and Django developers who aspire to elevate their Django skills to an advanced level. It assumes an intermediate level of proficiency in Python and Django programming and aims to impart comprehensive knowledge on optimizing the production environment and utilizing associated toolsets. By implementing these best practices, you will enhance the efficiency, robustness, and scalability of your production systems, thereby accelerating your career growth and professional development. |
| docker commands cheat sheet: The Software Developer's Guide to Linux David Cohen, Christian Sturm, 2024-01-29 A must-read for software developers lacking command-line skills, focusing on Linux. It provides transferable command-line proficiency for use in Mac OS, Unix, and Windows with WSL Key Features A practical, no-nonsense guide specifically written for developers (not sysadmins) who need to quickly learn command-line skills Expand your practical skills and look like a wizard on the command line Build practical skills to work effectively with the most common CLI tools on Unix-like systems Book DescriptionDevelopers are always looking to raise their game to the next level, yet most are completely lost when it comes to the Linux command line. This book is the bridge that will take you to the next level in your software development career. Most of the skills in the book can be immediately put to work to make you a more efficient developer. It’s written specifically for software engineers, not Linux system administrators, so each chapter will equip you with just enough theory to understand what you’re doing before diving into practical commands that you can use in your day-to-day work as a software developer. As you work through the book, you’ll quickly absorb the basics of how Linux works while you get comfortable moving around the command line. Once you’ve got the core skills, you’ll see how to apply them in different contexts that you’ll come across as a software developer: building and working with Docker images, automating boring build tasks with shell scripts, and troubleshooting issues in production environments. By the end of the book, you’ll be able to use Linux and the command line comfortably and apply your newfound skills in your day-to-day work to save time, troubleshoot issues, and be the command-line wizard that your team turns to.What you will learn Learn useful command-line tricks and tools that make software development, testing, and troubleshooting easy Understand how Linux and command line environments actually work Create powerful, customized tools and save thousands of lines of code with developer-centric Linux utilities Gain hands-on experience with Docker, SSH, and Shell scripting tasks that make you a more effective developer Get comfortable searching logs and troubleshooting problems on Linux servers Handle common command-line situations that stump other developers Who this book is for This book is for software developers who want to build practical Command-Line (CLI) and Linux skills and who want to quickly fill the gap to advance their skills and their career. Basic knowledge of editing text, working with files and folders, having some idea of what “operating systems” are, installing software, and using a development environment is assumed. |
| docker commands cheat sheet: Cloud Native Microservices with Spring and Kubernetes Rajiv Srivastava, 2021-07-03 Build and deploy scalable cloud native microservices using the Spring framework and Kubernetes. KEY FEATURES ● Complete coverage on how to design, build, run, and deploy modern cloud native microservices. ● Includes numerous sample code exercises on microservices, Spring and Kubernetes. ● Develop a stronghold on Kubernetes, Spring, and the microservices architecture. ● Complete guide of application containerization on Kubernetes containers. ● Coverage on managing modern applications and infrastructure using observability tools. DESCRIPTION The main objective of this book is to give an overview of cloud native microservices, their architecture, design patterns, best practices, real use cases and practical coverage of modern applications. This book covers a strong understanding of the fundamentals of microservices, API first approach, Testing, observability, API Gateway, Service Mesh and Kubernetes alternatives of Spring Cloud. This book covers the implementation of various design patterns of developing cloud native microservices using Spring framework docker and Kubernetes libraries. It covers containerization concepts and hands-on lab exercises like how to build, run and manage microservices applications using Kubernetes. After reading this book, the readers will have a holistic understanding of building, running, and managing cloud native microservices applications on Kubernetes containers. WHAT YOU WILL LEARN ● Learn fundamentals of microservice and design patterns. ● Learn microservices development using Spring Boot and Kubernetes. ● Learn to develop reactive, event-driven, and batch microservices. ● Perform end-to-end microservices testing using Cucumber. ● Implement API gateway,authentication & authorization,load balancing, caching, rate limiting. ● Learn observability and monitoring techniques of microservices. WHO THIS BOOK IS FOR This book is for the Spring Developers, Microservice Developers, Cloud Engineers, DevOps Consultants, Technical Architect and Solution Architects, who have some familiarity with application development, Docker and Kubernetes containers. TABLE OF CONTENTS 1. Overview of Cloud Native microservices 2. Microservice design patterns 3. API first approach 4. Build microservices using the Spring Framework 5. Batch microservices 6. Build reactive and event-driven microservices 7. The API gateway, security, and distributed caching with Redis 8. Microservices testing and API mocking 9. Microservices observability 10. Containers and Kubernetes overview and architecture 11. Run microservices on Kubernetes 12. Service Mesh and Kubernetes alternatives of Spring Cloud |
| docker commands cheat sheet: Certified Kubernetes Application Developer (CKAD) Study Guide Benjamin Muschko, 2021-02-02 Developers with the ability to operate, troubleshoot, and monitor applications in Kubernetes are in high demand today. To meet this need, the Cloud Native Computing Foundation created a certification exam to establish a developer's credibility and value in the job market to work in a Kubernetes environment. The Certified Kubernetes Application Developer (CKAD) exam is different from the typical multiple-choice format of other certifications. Instead, the CKAD is a performance-based exam that requires deep knowledge of the tasks under immense time pressure. This study guide walks you through all the topics you need to fully prepare for the exam. Author Benjamin Muschko also shares his personal experience with preparing for all aspects of the exam. Learn when and how to apply Kubernetes concepts to manage an application Understand the objectives, abilities, tips, and tricks needed to pass the CKAD exam Explore the ins and outs of the kubectl command-line tool Demonstrate competency for performing the responsibilities of a Kubernetes application developer Solve real-world Kubernetes problems in a hands-on command-line environment Navigate and solve questions during the CKAD exam |
| docker commands cheat sheet: CompTIA CySA+ Practice Tests Mike Chapple, David Seidl, 2023-07-11 The best way to prep for the CS0-003 CySA+ certification exam and hone your practical cybersecurity skillset In the newly updated 3rd edition of the CompTIA CySA+ Practice Tests: Exam CS0-003, veteran information security experts and educators Mike Chapple and David Seidl deliver an effective and efficient collection of study resources for the challenging CompTIA Cybersecurity Analyst+ (CySA+) certification exam. In the book, you’ll find 1000 practice questions, complete with answers and explanations, covering every domain tested by Exam CS0-003. You’ll hone your skills in security operations, vulnerability management, incident response and management, and reporting and communication, improving your ability to detect and respond to malicious activity on the job and dramatically increasingly your chances of success on the CySA+ exam. You’ll also get: Techniques for threat hunting and the collection of threat intelligence Strategies for effective incident response processes and activities, ensuring you’re able to react appropriately to cybersecurity incidents at work Complimentary access to Sybex’s superior online test bank, including all the practice questions you need to review and test your knowledge before you walk into the exam room Perfect for anyone studying for the CompTIA CySA+ CS0-003 certification exam, CompTIA CySA+ Practice Tests: Exam CS0-003, Third Edition, will also benefit IT security practitioners looking to test and improve their skillset. |
| docker commands cheat sheet: The Docker Book James Turnbull, 2014-07-14 Updated for Docker Community Edition v18.09! Docker book designed for SysAdmins, SREs, Operations staff, Developers and DevOps who are interested in deploying the open source container service Docker. In this book, we'll walk you through installing, deploying, managing, and extending Docker. We're going to do that by first introducing you to the basics of Docker and its components. Then we'll start to use Docker to build containers and services to perform a variety of tasks. We're going to take you through the development lifecycle, from testing to production, and see where Docker fits in and how it can make your life easier. We'll make use of Docker to build test environments for new projects, demonstrate how to integrate Docker with continuous integration workflow, and then how to build application services and platforms. Finally, we'll show you how to use Docker's API and how to extend Docker yourself. We'll teach you how to: * Install Docker. * Take your first steps with a Docker container. * Build Docker images. * Manage and share Docker images. * Run and manage more complex Docker containers. * Deploy Docker containers as part of your testing pipeline. * Build multi-container applications and environments. * Learn about orchestration using Compose and Swarm for the orchestration of Docker containers and Consul for service discovery. * Explore the Docker API. * Getting Help and Extending Docker. |
| docker commands cheat sheet: Kubeflow Operations Guide Josh Patterson, Michael Katzenellenbogen, Austin Harris, 2020-12-04 Building models is a small part of the story when it comes to deploying machine learning applications. The entire process involves developing, orchestrating, deploying, and running scalable and portable machine learning workloads--a process Kubeflow makes much easier. This practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes workflows portable and scalable. Authors Josh Patterson, Michael Katzenellenbogen, and Austin Harris demonstrate how this open source platform orchestrates workflows by managing machine learning pipelines. You'll learn how to plan and execute a Kubeflow platform that can support workflows from on-premises to cloud providers including Google, Amazon, and Microsoft. Dive into Kubeflow architecture and learn best practices for using the platform Understand the process of planning your Kubeflow deployment Install Kubeflow on an existing on-premises Kubernetes cluster Deploy Kubeflow on Google Cloud Platform step-by-step from the command line Use the managed Amazon Elastic Kubernetes Service (EKS) to deploy Kubeflow on AWS Deploy and manage Kubeflow across a network of Azure cloud data centers around the world Use KFServing to develop and deploy machine learning models |
| docker commands cheat sheet: Security Chaos Engineering Kelly Shortridge, Aaron Rinehart, 2023-03-30 Cybersecurity is broken. Year after year, attackers remain unchallenged and undeterred, while engineering teams feel pressure to design, build, and operate secure systems. Failure can't be prevented, mental models of systems are incomplete, and our digital world constantly evolves. How can we verify that our systems behave the way we expect? What can we do to improve our systems' resilience? In this comprehensive guide, authors Kelly Shortridge and Aaron Rinehart help you navigate the challenges of sustaining resilience in complex software systems by using the principles and practices of security chaos engineering. By preparing for adverse events, you can ensure they don't disrupt your ability to innovate, move quickly, and achieve your engineering and business goals. Learn how to design a modern security program Make informed decisions at each phase of software delivery to nurture resilience and adaptive capacity Understand the complex systems dynamics upon which resilience outcomes depend Navigate technical and organizational trade-offsthat distort decision making in systems Explore chaos experimentation to verify critical assumptions about software quality and security Learn how major enterprises leverage security chaos engineering |
| docker commands cheat sheet: Learning Spark Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee, 2020-07-16 Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow |
| docker commands cheat sheet: DevOps Tools for Java Developers Stephen Chin, Melissa McKay, Ixchel Ruiz, Baruch Sadogursky, 2022-04-15 With the rise of DevOps, low-cost cloud computing, and container technologies, the way Java developers approach development today has changed dramatically. This practical guide helps you take advantage of microservices, serverless, and cloud native technologies using the latest DevOps techniques to simplify your build process and create hyperproductive teams. Stephen Chin, Melissa McKay, Ixchel Ruiz, and Baruch Sadogursky from JFrog help you evaluate an array of options. The list includes source control with Git, build declaration with Maven and Gradle, CI/CD with CircleCI, package management with Artifactory, containerization with Docker and Kubernetes, and much more. Whether you're building applications with Jakarta EE, Spring Boot, Dropwizard, MicroProfile, Micronaut, or Quarkus, this comprehensive guide has you covered. Explore software lifecycle best practices Use DevSecOps methodologies to facilitate software development and delivery Understand the business value of DevSecOps best practices Manage and secure software dependencies Develop and deploy applications using containers and cloud native technologies Manage and administrate source control repositories and development processes Use automation to set up and administer build pipelines Identify common deployment patterns and antipatterns Maintain and monitor software after deployment |
| docker commands cheat sheet: Data Pipelines with Apache Airflow Julian de Ruiter, Bas Harenslak, 2021-04-05 An Airflow bible. Useful for all kinds of users, from novice to expert. - Rambabu Posa, Sai Aashika Consultancy Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, keeping every process along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. Apache Airflow provides a single platform you can use to design, implement, monitor, and maintain your pipelines. Its easy-to-use UI, plug-and-play options, and flexible Python scripting make Airflow perfect for any data management task. About the book Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You’ll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practical guide covers every aspect of the directed acyclic graphs (DAGs) that power Airflow, and how to customize them for your pipeline’s needs. What's inside Build, test, and deploy Airflow pipelines as DAGs Automate moving and transforming data Analyze historical datasets using backfilling Develop custom components Set up Airflow in production environments About the reader For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills. About the author Bas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies. Bas is also an Airflow committer. Table of Contents PART 1 - GETTING STARTED 1 Meet Apache Airflow 2 Anatomy of an Airflow DAG 3 Scheduling in Airflow 4 Templating tasks using the Airflow context 5 Defining dependencies between tasks PART 2 - BEYOND THE BASICS 6 Triggering workflows 7 Communicating with external systems 8 Building custom components 9 Testing 10 Running tasks in containers PART 3 - AIRFLOW IN PRACTICE 11 Best practices 12 Operating Airflow in production 13 Securing Airflow 14 Project: Finding the fastest way to get around NYC PART 4 - IN THE CLOUDS 15 Airflow in the clouds 16 Airflow on AWS 17 Airflow on Azure 18 Airflow in GCP |
| docker commands cheat sheet: Building Large-Scale Web Applications with Angular Chandermani Arora, Kevin Hennessy, Christoffer Noring, Doguhan Uluca, 2018-12-21 A definitive guide on frontend development with Angular from design to deployment Key FeaturesDevelop web applications from scratch using Angular and TypeScriptExplore reactive programming principles and RxJS to develop and test apps easilyStudy continuous integration and deployment on the AWS cloudBook Description If you have been burnt by unreliable JavaScript frameworks before, you will be amazed by the maturity of the Angular platform. Angular enables you to build fast, efficient, and real-world web apps. In this Learning Path, you'll learn Angular and to deliver high-quality and production-grade Angular apps from design to deployment. You will begin by creating a simple fitness app, using the building blocks of Angular, and make your final app, Personal Trainer, by morphing the workout app into a full-fledged personal workout builder and runner with an advanced directive building - the most fundamental and powerful feature of Angular. You will learn the different ways of architecting Angular applications using RxJS, and some of the patterns that are involved in it. Later you’ll be introduced to the router-first architecture, a seven-step approach to designing and developing mid-to-large line-of-business apps, along with popular recipes. By the end of this book, you will be familiar with the scope of web development using Angular, Swagger, and Docker, learning patterns and practices to be successful as an individual developer on the web or as a team in the Enterprise. This Learning Path includes content from the following Packt products: Angular 6 by Example by Chandermani Arora, Kevin HennessyArchitecting Angular Applications with Redux, RxJS, and NgRx by Christoffer NoringAngular 6 for Enterprise-Ready Web Applications by Doguhan UlucaWhat you will learnDevelop web applications from scratch using Angular and TypeScriptExplore reactive programming principles, RxJS to develop and test apps efficientlyStudy continuous integration and deployment your Angular app on the AWS cloudWho this book is for If you're a JavaScript or frontend developer looking to gain comprehensive experience of using Angular for end-to-end enterprise-ready applications, this Learning Path is for you. |
| docker commands cheat sheet: Bootstrapping Microservices with Docker, Kubernetes, and Terraform Ashley Davis, 2021-03-09 Summary The best way to learn microservices development is to build something! Bootstrapping Microservices with Docker, Kubernetes, and Terraform guides you from zero through to a complete microservices project, including fast prototyping, development, and deployment. You’ll get your feet wet using industry-standard tools as you learn and practice the practical skills you’ll use for every microservices application. Following a true bootstrapping approach, you’ll begin with a simple, familiar application and build up your knowledge and skills as you create and deploy a real microservices project. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Taking microservices from proof of concept to production is a complex, multi-step operation relying on tools like Docker, Terraform, and Kubernetes for packaging and deployment. The best way to learn the process is to build a project from the ground up, and that’s exactly what you’ll do with this book! About the book In Bootstrapping Microservices with Docker, Kubernetes, and Terraform, author Ashley Davis lays out a comprehensive approach to building microservices. You’ll start with a simple design and work layer-by-layer until you’ve created your own video streaming application. As you go, you’ll learn to configure cloud infrastructure with Terraform, package microservices using Docker, and deploy your finished project to a Kubernetes cluster. What's inside Developing and testing microservices applications Working with cloud providers Applying automated testing Implementing infrastructure as code and setting up a continuous delivery pipeline Monitoring, managing, and troubleshooting About the reader Examples are in JavaScript. No experience with microservices, Kubernetes, Terraform, or Docker required. About the author Ashley Davis is a software developer, entrepreneur, stock trader, and the author of Manning’s Data Wrangling with JavaScript. Table of Contents 1 Why microservices? 2 Creating your first microservice 3 Publishing your first microservice 4 Data management for microservices 5 Communication between microservices 6 Creating your production environment 7 Getting to continuous delivery 8 Automated testing for microservices 9 Exploring FlixTube 10 Healthy microservices 11 Pathways to scalability |
| docker commands cheat sheet: Angular for Enterprise-Ready Web Applications Doguhan Uluca, 2020-05-29 Revised and updated second edition of the bestselling hands-on guide to building enterprise-ready web apps using an evergreen Angular platform Key FeaturesUpdated examples, projects, and a new overview of tools – including NgRX and Ivy, automated testing, and Firebase authenticationNew chapter summarizing history of web frameworks and Angular version updatesAll-new RESTful API implementation leveraging the MEAN stack with MongoDB, Express.js, Angular and Node.jsBook Description This second edition of Angular for Enterprise-Ready Web Applications is updated with in-depth coverage of the evergreen Angular platform. You’ll start by mastering Angular programming fundamentals. Using the Kanban method and GitHub tools, you’ll build great-looking apps with Angular Material and also leverage reactive programming patterns with RxJS, discover the flux pattern with NgRx, become familiar with automated testing, utilize continuous integration using CircleCI, and deploy your app to the cloud using Vercel Now and GCloud. You will then learn how to design and develop line-of-business apps using router-first architecture with observable data anchors, demonstrated through oft-used recipes like master/detail views, and data tables with pagination and forms. Next, you’ll discover robust authentication and authorization design demonstrated via integration with Firebase, API documentation using Swagger, and API implementation using the MEAN stack. Finally, you will learn about DevOps using Docker, build a highly available cloud infrastructure on AWS, capture user behavior with Google Analytics, and perform load testing. By the end of the book, you’ll be familiar with the entire gamut of modern web development and full-stack architecture, learning patterns and practices to be successful as an individual developer on the web or as a team in the enterprise. What you will learnAdopt a minimalist, value-first approach to delivering web appsMaster Angular development fundamentals, RxJS, CLI tools, GitHub, and DockerDiscover the flux pattern and NgRxImplement a RESTful APIs using Node.js, Express.js, and MongoDBCreate secure and efficient web apps for any cloud provider or your own serversDeploy your app on highly available cloud infrastructure using DevOps, CircleCI, and AWSWho this book is for This book is for developers who want to confidently deliver high-quality and production-grade Angular apps from design to deployment. Developers that have prior experience in writing a RESTful APIs will also benefit, as well as developers who will gain greater awareness of how they fit into the larger picture of delivering a web application. Prior experience with RESTful APIs is desired. |
| docker commands cheat sheet: Using Docker Adrian Mouat, 2015-12-09 Docker containers offer simpler, faster, and more robust methods for developing, distributing, and running software than previously available. With this hands-on guide, you’ll learn why containers are so important, what you’ll gain by adopting Docker, and how to make it part of your development process. Ideal for developers, operations engineers, and system administrators—especially those keen to embrace a DevOps approach—Using Docker will take you from Docker and container basics to running dozens of containers on a multi-host system with networking and scheduling. The core of the book walks you through the steps needed to develop, test, and deploy a web application with Docker. Get started with Docker by building and deploying a simple web application Use Continuous Deployment techniques to push your application to production multiple times a day Learn various options and techniques for logging and monitoring multiple containers Examine networking and service discovery: how do containers find each other and how do you connect them? Orchestrate and cluster containers to address load-balancing, scaling, failover, and scheduling Secure your system by following the principles of defense-in-depth and least privilege |
| docker commands cheat sheet: Docker for Developers, 2nd Edition Chris Tankersley, 2015 |
| docker commands cheat sheet: DevOps Troubleshooting Kyle Rankin, 2012-11-09 “If you’re a developer trying to figure out why your application is not responding at 3 am, you need this book! This is now my go-to book when diagnosing production issues. It has saved me hours in troubleshooting complicated operations problems.” –Trotter Cashion, cofounder, Mashion DevOps can help developers, QAs, and admins work together to solve Linux server problems far more rapidly, significantly improving IT performance, availability, and efficiency. To gain these benefits, however, team members need common troubleshooting skills and practices. In DevOps Troubleshooting: Linux Server Best Practices, award-winning Linux expert Kyle Rankin brings together all the standardized, repeatable techniques your team needs to stop finger-pointing, collaborate effectively, and quickly solve virtually any Linux server problem. Rankin walks you through using DevOps techniques to troubleshoot everything from boot failures and corrupt disks to lost email and downed websites. You’ll master indispensable skills for diagnosing high-load systems and network problems in production environments. Rankin shows how to Master DevOps’ approach to troubleshooting and proven Linux server problem-solving principles Diagnose slow servers and applications by identifying CPU, RAM, and Disk I/O bottlenecks Understand healthy boots, so you can identify failure points and fix them Solve full or corrupt disk issues that prevent disk writes Track down the sources of network problems Troubleshoot DNS, email, and other network services Isolate and diagnose Apache and Nginx Web server failures and slowdowns Solve problems with MySQL and Postgres database servers and queries Identify hardware failures–even notoriously elusive intermittent failures |
| docker commands cheat sheet: Learn Docker in a Month of Lunches Elton Stoneman, 2020-08-04 Summary Go from zero to production readiness with Docker in 22 bite-sized lessons! Learn Docker in a Month of Lunches is an accessible task-focused guide to Docker on Linux, Windows, or Mac systems. In it, you’ll learn practical Docker skills to help you tackle the challenges of modern IT, from cloud migration and microservices to handling legacy systems. There’s no excessive theory or niche-use cases—just a quick-and-easy guide to the essentials of Docker you’ll use every day. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology The idea behind Docker is simple: package applications in lightweight virtual containers that can be easily installed. The results of this simple idea are huge! Docker makes it possible to manage applications without creating custom infrastructures. Free, open source, and battle-tested, Docker has quickly become must-know technology for developers and administrators. About the book Learn Docker in a Month of Lunches introduces Docker concepts through a series of brief hands-on lessons. Following a learning path perfected by author Elton Stoneman, you’ll run containers by chapter 2 and package applications by chapter 3. Each lesson teaches a practical skill you can practice on Windows, macOS, and Linux systems. By the end of the month you’ll know how to containerize and run any kind of application with Docker. What's inside Package applications to run in containers Put containers into production Build optimized Docker images Run containerized apps at scale About the reader For IT professionals. No previous Docker experience required. About the author Elton Stoneman is a consultant, a former architect at Docker, a Microsoft MVP, and a Pluralsight author. Table of Contents PART 1 - UNDERSTANDING DOCKER CONTAINERS AND IMAGES 1. Before you begin 2. Understanding Docker and running Hello World 3. Building your own Docker images 4. Packaging applications from source code into Docker Images 5. Sharing images with Docker Hub and other registries 6. Using Docker volumes for persistent storage PART 2 - RUNNING DISTRIBUTED APPLICATIONS IN CONTAINERS 7. Running multi-container apps with Docker Compose 8. Supporting reliability with health checks and dependency checks 9. Adding observability with containerized monitoring 10. Running multiple environments with Docker Compose 11. Building and testing applications with Docker and Docker Compose PART 3 - RUNNING AT SCALE WITH A CONTAINER ORCHESTRATOR 12. Understanding orchestration: Docker Swarm and Kubernetes 13. Deploying distributed applications as stacks in Docker Swarm 14. Automating releases with upgrades and rollbacks 15. Configuring Docker for secure remote access and CI/CD 16. Building Docker images that run anywhere: Linux, Windows, Intel, and Arm PART 4 - GETTING YOUR CONTAINERS READY FOR PRODUCTION 17. Optimizing your Docker images for size, speed, and security 18. Application configuration management in containers 19. Writing and managing application logs with Docker 20. Controlling HTTP traffic to containers with a reverse proxy 21. Asynchronous communication with a message queue 22. Never the end |
| docker commands cheat sheet: Building Enterprise JavaScript Applications Daniel Li, 2018-09-29 Strengthen your applications by adopting Test-Driven Development (TDD), the OpenAPI Specification, Continuous Integration (CI), and container orchestration. Key FeaturesCreate production-grade JavaScript applications from scratchBuild microservices and deploy them to a Docker container for scaling applicationsTest and deploy your code with confidence using Travis CIBook Description With the over-abundance of tools in the JavaScript ecosystem, it's easy to feel lost. Build tools, package managers, loaders, bundlers, linters, compilers, transpilers, typecheckers - how do you make sense of it all? In this book, we will build a simple API and React application from scratch. We begin by setting up our development environment using Git, yarn, Babel, and ESLint. Then, we will use Express, Elasticsearch and JSON Web Tokens (JWTs) to build a stateless API service. For the front-end, we will use React, Redux, and Webpack. A central theme in the book is maintaining code quality. As such, we will enforce a Test-Driven Development (TDD) process using Selenium, Cucumber, Mocha, Sinon, and Istanbul. As we progress through the book, the focus will shift towards automation and infrastructure. You will learn to work with Continuous Integration (CI) servers like Jenkins, deploying services inside Docker containers, and run them on Kubernetes. By following this book, you would gain the skills needed to build robust, production-ready applications. What you will learnPractice Test-Driven Development (TDD) throughout the entire bookUse Cucumber, Mocha and Selenium to write E2E, integration, unit and UI testsBuild stateless APIs using Express and ElasticsearchDocument your API using OpenAPI and SwaggerBuild and bundle front-end applications using React, Redux and WebpackContainerize services using DockerDeploying scalable microservices using KubernetesWho this book is for If you're a JavaScript developer looking to expand your skillset and become a senior JavaScript developer by building production-ready web applications, then this book is for you. |
| docker commands cheat sheet: Docker in Action, Second Edition Jeffrey Nickoloff, Stephen Kuenzli, 2019-10-28 Summary Docker in Action, Second Edition teaches you the skills and knowledge you need to create, deploy, and manage applications hosted in Docker containers. This bestseller has been fully updated with new examples, best practices, and a number of entirely new chapters. About the technology The idea behind Docker is simple—package just your application and its dependencies into a lightweight, isolated virtual environment called a container. Applications running inside containers are easy to install, manage, and remove. This simple idea is used in everything from creating safe, portable development environments to streamlining deployment and scaling for microservices. In short, Docker is everywhere. About the book Docker in Action, Second Edition teaches you to create, deploy, and manage applications hosted in Docker containers running on Linux. Fully updated, with four new chapters and revised best practices and examples, this second edition begins with a clear explanation of the Docker model. Then, you go hands-on with packaging applications, testing, installing, running programs securely, and deploying them across a cluster of hosts. With examples showing how Docker benefits the whole dev lifecycle, you’ll discover techniques for everything from dev-and-test machines to full-scale cloud deployments. What's inside Running software in containers Packaging software for deployment Securing and distributing containerized applications About the reader Written for developers with experience working with Linux. About the author Jeff Nickoloff and Stephen Kuenzli have designed, built, deployed, and operated highly available, scalable software systems for nearly 20 years. |
| docker commands cheat sheet: Graph Algorithms Mark Needham, Amy E. Hodler, 2019-05-16 Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark |
| docker commands cheat sheet: Learning OpenCV Gary R. Bradski, Adrian Kaehler, 2008 本书介绍了计算机视觉,例证了如何迅速建立使计算机能“看”的应用程序,以及如何基于计算机获取的数据作出决策. |
| docker commands cheat sheet: Docker Deep Dive Nigel Poulton, 2023-06-28 The demand for Docker skills and professionals who can develop and manage cloud-native microservices apps is skyrocketing. This book will get you ahead of the curve, providing you with everything you need — from containerizing apps to executing in the cloud. You'll learn: - How to build and run apps as containers - How to deploy and manage multi-container apps with Compose and Swarm - How to build secure, efficient production-grade containers for multiple architectures - How to work with containers and WebAssembly (Wasm) - All the latest Docker technologies, including Docker Desktop, Docker Debug, Docker Init, Docker Scout, and more If you're looking for a comprehensive book to help you master Docker for the real world, you've found it! You'll learn all the theory and practical skills to succeed with containers in the real world. Whether you're a seasoned developer or just getting started, Docker Deep Dive is the number one resource that will take your Docker skills to the next level. |
| docker commands cheat sheet: Linux in Action David Clinton, 2018-08-19 Summary Linux in Action is a task-based tutorial that will give you the skills and deep understanding you need to administer a Linux-based system. This hands-on book guides you through 12 real-world projects so you can practice as you learn. Each chapter ends with a review of best practices, new terms, and exercises. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology You can't learn anything without getting your hands dirty including Linux. Skills like securing files, folders, and servers, safely installing patches and applications, and managing a network are required for any serious user, including developers, administrators, and DevOps professionals. With this hands-on tutorial, you'll roll up your sleeves and learn Linux project by project. About the Book Linux in Action guides you through 12 real-world projects, including automating a backup-and-restore system, setting up a private Dropbox-style file cloud, and building your own MediaWiki server. You'll try out interesting examples as you lock in core practices like virtualization, disaster recovery, security, backup, DevOps, and system troubleshooting. Each chapter ends with a review of best practices, new terms, and exercises. What's inside Setting up a safe Linux environment Managing secure remote connectivity Building a system recovery device Patching and upgrading your system About the Reader No prior Linux admin experience is required. About the Author David Clinton is a certified Linux Server Professional, seasoned instructor, and author of Manning's bestselling Learn Amazon Web Services in a Month of Lunches. Table of Contents Welcome to Linux Linux virtualization: Building a Linux working environment Remote connectivity: Safely accessing networked machines Archive management: Backing up or copying entire file systems Automated administration: Configuring automated offsite backups Emergency tools: Building a system recovery device Web servers: Building a MediaWiki server Networked file sharing: Building a Nextcloud file-sharing server Securing your web server Securing network connections: Creating a VPN or DMZ System monitoring: Working with log files Sharing data over a private network Troubleshooting system performance issues Troubleshooting network issues Troubleshooting peripheral devices DevOps tools: Deploying a scripted server environment using Ansible |
| docker commands cheat sheet: Python Crash Course Eric Matthes, 2015-11-01 Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you’ll learn how to: –Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal –Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses –Work with data to generate interactive visualizations –Create and customize Web apps and deploy them safely online –Deal with mistakes and errors so you can solve your own programming problems If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Uses Python 2 and 3 |
| docker commands cheat sheet: Container Security Liz Rice, 2020-04-06 To facilitate scalability and resilience, many organizations now run applications in cloud native environments using containers and orchestration. But how do you know if the deployment is secure? This practical book examines key underlying technologies to help developers, operators, and security professionals assess security risks and determine appropriate solutions. Author Liz Rice, Chief Open Source Officer at Isovalent, looks at how the building blocks commonly used in container-based systems are constructed in Linux. You'll understand what's happening when you deploy containers and learn how to assess potential security risks that could affect your deployments. If you run container applications with kubectl or docker and use Linux command-line tools such as ps and grep, you're ready to get started. Explore attack vectors that affect container deployments Dive into the Linux constructs that underpin containers Examine measures for hardening containers Understand how misconfigurations can compromise container isolation Learn best practices for building container images Identify container images that have known software vulnerabilities Leverage secure connections between containers Use security tooling to prevent attacks on your deployment |
Docker - a way to give access to a host USB or serial device?
Jun 15, 2014 · docker@default:~$ docker run -it --privileged -v /dev:/dev ubuntu bash Note, I had to use /dev instead of /dev/bus/usb in some cases to capture a device like /dev/sg2. I can only …
How to list containers in Docker - Stack Overflow
May 30, 2013 · docker stack ls docker service ls docker image ls docker container ls Teaching the aliases first is confusing. Once you understand what's going on, they can save some keystrokes: …
Steps for limiting outside connections to docker container with ...
Jul 9, 2015 · -N DOCKER -N DOCKER-ISOLATION -N DOCKER-USER -A DOCKER-ISOLATION -j RETURN -A DOCKER-USER -i eth0 -p tcp -m tcp --dport 3306 -j DROP -A DOCKER-USER -j …
docker - Difference between RUN and CMD in a Dockerfile - Stack …
May 26, 2016 · So RUN uses the files from your build environment (development box) used to CREATE the docker image, while CMD defines the startup commnand when the docker image is …
What is docker run -it flag? - Stack Overflow
Jan 21, 2018 · -it are flags for command docker run or docker container run (they are aliases). Suggest you know what are flags and go forward:-i or --interactive: When you type docker run -i …
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* * * * * docker exec mysupercont foo >> /var/log/foo.log 2>&1 * * * * * docker exec mysupercont bar >> /var/log/bar.log 2>&1 I find this solution nice as we get to rely on the ancient and proven …
What is the use of Docker Desktop? - Stack Overflow
Nov 14, 2019 · In addition, Docker can be referenced as Docker Platform, an open platform for developing, shipping, and running applications where it had all these things: A container image …
Docker: adding a file from a parent directory - Stack Overflow
from the Docker documentation: "When copying source files from the build context, their paths are interpreted as relative to the root of the context.
Configuring Docker to not use the 172.17.0.0 range - Server Fault
Jun 16, 2018 · However it is still only created at docker swarm init time, so if you need to change it later, you'll need to shut down swarm mode entirely with docker swarm leave -f; delete the …
Run a Docker image as a container - Stack Overflow
Aug 26, 2020 · docker images Then you can run in detached mode so your terminal is still usable. You have several options to run it using a repository name (with or without a tag) or image ID: …
Docker Cheat Sheet - Red Hat
Volume related commands docker volume [CMD] [OPTS] create Create a volume inspect Return lowlevel information on a volume ls List volumes rm Remove a volume Related commands …
Kubernetes (k8s) Cheat Sheet - Cheatography.com
Docker helps in creation of containers that includes apps and its binaries. Pods A Pod is the basic building block of Kubern et e s–the smallest and simplest unit in the Kubernetes object model …
Docker Swarm Cheat Sheet - Cheatography.com
docker swarm commands docker swarm init Initialize a swarm docker swarm join --toke n 10.1.0.2:2377 Join an existing swarm as manager node docker swarm join --toke …
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It allows you to run commands against K8s clusters. For example, you can use kubectl to deploy applications, inspect and manage cluster resources, and view ... KUBERNETES CHEAT …
Docker commands Cheat Sheet - Cheatography.com
Title: Docker commands Cheat Sheet by angel_ceed - Cheatography.com Created Date: 20240703015152Z
PowerShell: A CHEAT SHEET - Clemson University
This cheat sheet will be updated when Microsoft releases new information throughout PowerShell’s development ... includes commands called cmdlets that add functionality to the …
OSINT Cheat Sheet - Compass Security
Compass Security OSINT Cheat Sheet Social Networks "happy hour" near:"san Facebook Search bar: allows searching for all profiles, which have been created using a given email address or …
Docker commands Cheat Sheet - Cheatography.com
Title: Docker commands Cheat Sheet by angel_ceed - Cheatography.com Created Date: 20240703015152Z
Linux Cheat Sheet - LinuxSimply
Linux Cheat Sheet For DevOps ls€ Lists ... commands free Displays the amount of free and used memory in the system ... route Access the Linux kernel's routing tables docker ps Lists all …
Cheat sheet Podman - tizinga.com
Cheat sheet This cheat sheet covers the commands used for working with Podman, a popular tool for managing containers. ... Podman commands are mostly compatible with Docker. As stated …
Kubectl Cheat Sheet BY JESSICA CHERRY - Opensource.com
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Docker Cheat Sheet - ma.ttias.be
Docker Cheat Sheet ORCHESTRATE Initialize swarm mode and listen on a specific interface Create a service from an image exposed on a specific docker swarm init advertiseaddr port …
Docker Compose Cheat Sheet - Cheatography.com
Need to good to yml file directory to succes sfully run the docker -co ‐ mpose commands. docker -co mpose start wordpr ess_db :it will only start 1 service but docker -co mpose start : will start …
docker cheat sheet - instructorc.github.io
Docker Cheat Sheet Build ... All commands below are called as options to the base docker command. Run docker --help for more information on a particular command. …
rpk cheat sheet - Redpanda
rpk cheat sheet Quick start Start/stop Redpanda rpk container start -n [number]: Quickly set up Redpanda on your local machine using Docker rpk container stop: Stop Redpanda on your …
devCodeCamp Docker Commands (Inclusive) Cheat Sheet
Jan 28, 2022 · Basic Docker commands docker --help Displays basic help options and commands docker --help Display detailed help for a specific command docker ps List of " liv …
Docker Cheat Sheet - Cheatography.com
RUN Execute build commands Build image build Build an image from a Dockerfile build-t Name and optionally a tag in the name:tag format Volumes run -v Bind mount a volume volume …
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DOCKER Docker ejecuta los procesos de forma aislada, pero en tu propia maquina, de forma "mágica" con los groups y namespaces Dockerfiles y docker- Docker cache compose …
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Docker Commands Cheat Sheet (Download Only)
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Docker Commands Cheat Sheet (Download Only)
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Docker Commands Cheat Sheet (Download Only)
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Helm Cheat Sheet - dav1ds.github.io
Docker Cheat Sheet Container Management docker ps docker ps -a docker create [image] docker create -it [image] docker rename [container] [new-name] docker rm [container] docker rm -f …
JFROG CLI
CHEAT SHEET JFrog CLI includes integration with different build packages such as Maven, Gradle, Pypi and Docker. The example below lists the commands for a Maven build, that …
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CLI Cheat Sheet - docs.docker.net.tw
docker inspect (or ) To list currently running containers: docker ps List all docker containers (running and stopped): docker ps --all View resource usage stats …
PSQL 8.3 Cheatsheet - Postgres OnLine
POSTGRESQL 8.3 PSQL CHEAT SHEET psql is located in the bin folder of the PostgreSQL install and PgAdmin III install. This is psql 8.3.5, the PostgreSQL interactive terminal. ... help …
File management Search and replace Keyboard shortcuts for …
General Ctrl+Shift+P, F1 Show Command Palette Ctrl+P Quick Open, Go to File… Ctrl+Shift+N New window/instance Ctrl+Shift+W Close window/instance
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Batfish questions Batfish cheat sheet
Batfish cheat sheet Batfish builds vendor independent models from vendor configs. The models cover configuration settings as well as network behaviors such as packet forwarding and …
dotnet cli Cheat Sheet - Cheatography.com
dotnet cli Cheat Sheet by oba - Cheatography.com Created Date: 20240706002707Z ...
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OC CLI commands Cheat Sheet - Cheatography.com
OC CLI commands Cheat Sheet by ITServicesTool Start-Up (ITServiceStart-Up) via cheatography.com/32307/cs/9933/ Troubl esh ooting and Debugging CLI Operations
