投稿時間:2023-05-03 16:14:38 RSSフィード2023-05-03 16:00 分まとめ(15件)

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AWS	lambdaタグが付けられた新着投稿 - Qiita	【AWS】特定の環境変数を持つLambda関数をAWS CLIで検索する方法	https://qiita.com/suzuki0430/items/58a8380c1eb8f86cf572	awscli	2023-05-03 15:00:59
python	Pythonタグが付けられた新着投稿 - Qiita	`abc.ABC`を継承するかしないかで、インスタンス生成時の挙動をpythonとmypyで確認した	https://qiita.com/yuji38kwmt/items/5ae8b07b3c2bdcd71cb0	確認	2023-05-03 15:52:25
python	Pythonタグが付けられた新着投稿 - Qiita	dashアプリのコンテナ化	https://qiita.com/amashita/items/98033f6541afb6751871	pipinstallgunicornr	2023-05-03 15:13:39
python	Pythonタグが付けられた新着投稿 - Qiita	抽象メソッドの実装が漏れているクラスを定義しただけでは、mypyはエラーを出力しない	https://qiita.com/yuji38kwmt/items/1000adfadc7faea7d0ea	importabcclass	2023-05-03 15:02:39
js	JavaScriptタグが付けられた新着投稿 - Qiita	【javascript】濁音を清音に変換する	https://qiita.com/wonox/items/1baa444213b4cba4caa5	functiond	2023-05-03 15:43:38
AWS	AWSタグが付けられた新着投稿 - Qiita	Amazon EMR Studioを試してみた	https://qiita.com/zumax/items/ff3154ce3f7d7cf8322f	emrstud	2023-05-03 15:10:23
AWS	AWSタグが付けられた新着投稿 - Qiita	【AWS】特定の環境変数を持つLambda関数をAWS CLIで検索する方法	https://qiita.com/suzuki0430/items/58a8380c1eb8f86cf572	awscli	2023-05-03 15:00:59
Docker	dockerタグが付けられた新着投稿 - Qiita	dashアプリのコンテナ化	https://qiita.com/amashita/items/98033f6541afb6751871	pipinstallgunicornr	2023-05-03 15:13:39
Docker	dockerタグが付けられた新着投稿 - Qiita	Dockerでnginx環境を構築	https://qiita.com/tyakosuke/items/29982379929791e5da7d	dockersearchn	2023-05-03 15:07:53
Git	Gitタグが付けられた新着投稿 - Qiita	実戦用Gitまとめ	https://qiita.com/almiraj/items/158b9e72f2cff99f5080	gitclonehttphostproject	2023-05-03 15:30:22
技術ブログ	Developers.IO	AWS Batch で OpenMPI を使った並列ジョブの実行をやってみた	https://dev.classmethod.jp/articles/tried-aws-batch-multi-node-parallel-jobs/	awsbatch	2023-05-03 06:49:41
海外TECH	DEV Community	Docker : From Zero to Hero 🛸 ( part 1)	https://dev.to/prasenjeetsymon/docker-from-zero-to-hero-part-1-3a45	Docker From Zero to Hero part Docker is a tool that allows developers to package distribute and run applications as containers It provides an efficient and consistent way to deploy applications across different environments from development to production without worrying about dependencies or underlying infrastructure A real life example of the benefits of Docker can be seen in web application development In the past deploying a web application could be a cumbersome and error prone process Developers would have to manually install and configure the necessary software components on each server and any differences in configuration could lead to issues in production With Docker the application and its dependencies are packaged together in a container which can be easily deployed to any environment that supports Docker This means that developers can be confident that their application will run the same way in development testing and production and that the deployment process will be faster and more reliable In addition Docker allows for better resource utilization as multiple containers can run on a single machine without interfering with each other This can lead to cost savings and improved scalability Overall Docker simplifies the process of deploying and running applications making it a valuable tool for developers and IT professionals alike Why do we need Docker if there is virtual machine While both Docker and virtual machines have some similarities they serve different purposes and have different benefits Virtual machines emulate an entire operating system including the kernel and allow you to run multiple operating systems on the same physical machine Each virtual machine requires its own set of resources including memory disk space and CPU time which can make it difficult to scale and manage large applications Docker on the other hand uses containerization technology to allow you to package and run applications in lightweight portable containers Unlike virtual machines Docker containers share the same host operating system kernel which makes them more lightweight and efficient Here are some reasons why you might choose to use Docker over virtual machines Resource efficiency Docker containers use fewer resources than virtual machines because they share the same host operating system kernel This means you can run more containers on the same physical machine than you could with virtual machines Portability Docker containers are portable across different environments and can run on any machine that has Docker installed regardless of the underlying infrastructure Fast deployment Docker containers can be deployed and started much faster than virtual machines which can take several minutes to start up Isolation Docker containers provide a high degree of isolation between applications which can help to prevent conflicts and security vulnerabilities Version control Docker containers allow you to version control your application and its dependencies making it easier to roll back to previous versions or test new versions without affecting the production environment In summary Docker is a lightweight and efficient alternative to virtual machines that offers many benefits for modern application development and deployment Is Docker and Container same thing Docker is a platform that allows you to build package and deploy applications in containers A container is a lightweight portable and self contained environment that contains everything an application needs to run including code libraries and system tools Here are some differences between Docker and containers Docker is a platform Docker is a platform that provides a set of tools and services to build deploy and manage containers It includes the Docker Engine which is responsible for running and managing containers as well as other tools like Docker Compose Docker Swarm and Docker Registry Containers are the building blocks Containers are the fundamental building blocks of Docker They provide a lightweight and portable way to package and run applications in a self contained environment Docker provides a standardized format Docker provides a standardized format for containers which makes it easy to build share and deploy them across different environments This format includes everything the container needs to run including the code dependencies and system tools Docker provides a container runtime Docker provides a container runtime which is responsible for creating starting stopping and managing containers It provides a layer of abstraction between the container and the host operating system which allows containers to be run on any system that supports Docker In summary Docker is a platform that provides a standardized way to build package and deploy applications in containers while containers are the lightweight and portable environments that contain everything an application needs to run Docker EngineThe Docker engine is the core component of Docker that allows you to create run and manage Docker containers It is a lightweight and efficient runtime that can be installed on various operating systems including Windows macOS and Linux The Docker engine consists of several key components including The Docker daemon This is the background service that runs on the host system and manages the containers and images The Docker CLI This is the command line interface that allows you to interact with the Docker daemon and perform various operations such as building and running containers The Docker API This is the interface that allows external tools and applications to interact with the Docker daemon The Docker engine provides a powerful and flexible platform for building running and managing containerized applications It allows you to package your application and its dependencies into a lightweight portable container that can run on any system with Docker installed This makes it easy to deploy and scale applications across different environments and platforms Docker daemonThe Docker daemon is the core component of the Docker engine that runs as a background service on the host system It is responsible for managing Docker containers images networks and volumes The Docker daemon listens to requests from the Docker CLI Docker API and other tools and takes the necessary actions to create start stop and remove containers It also manages the networking and storage resources required by containers as well as the caching and sharing of images The Docker daemon runs as a system service and can be configured to start automatically when the host system boots up It is designed to be lightweight and efficient using minimal system resources to provide fast and responsive container management Overall the Docker daemon plays a critical role in the Docker architecture enabling the creation deployment and management of containerized applications in a consistent and reliable manner Docker APIThe Docker API is the interface that allows external tools and applications to interact with the Docker daemon It provides a RESTful API that allows you to manage Docker containers images networks and volumes programmatically using standard HTTP requests The Docker API supports a wide range of operations including creating and starting containers managing images and networks and accessing logs and stats for running containers It is designed to be platform agnostic making it easy to integrate Docker into a wide range of tools and workflows The Docker API can be accessed using various programming languages and tools including Python Java Node js and cURL It is also supported by many popular DevOps tools such as Jenkins Ansible and Terraform Overall the Docker API provides a powerful and flexible interface for automating Docker operations and integrating Docker into your DevOps workflows It allows you to manage Docker resources programmatically making it easy to create deploy and manage containerized applications in a consistent and scalable manner Docker CLIThe Docker CLI Command Line Interface is a command line tool that allows you to interact with the Docker daemon and manage Docker containers images networks and volumes It provides a simple and powerful way to build run and manage Docker applications from the command line There are many Docker commands available but here are some of the most commonly used ones docker run This command is used to create and start a new container from an image docker build This command is used to build a new Docker image from a Dockerfile docker push This command is used to upload a Docker image to a registry docker pull This command is used to download a Docker image from a registry docker ps This command is used to list running containers docker stop This command is used to stop a running container docker rm This command is used to remove a container docker images This command is used to list available Docker images docker rmi This command is used to remove a Docker image docker network This command is used to manage Docker networks docker volume This command is used to manage Docker volumes docker exec This command is used to execute a command inside a running container docker compose This command is used to manage multi container Docker applications These are just a few examples of the many Docker commands available To see a full list of available commands you can use the docker help command or refer to the Docker documentation We will discuss each and every command in detail now But for this article we will discuss only commands and in the upcoming articles we explore remaining commands docker runThe docker run command is used to create and start a new Docker container from a specified image When you run the docker run command Docker creates a new container based on the specified image and starts it up Here s the basic syntax for the docker run command docker run OPTIONS IMAGE COMMAND ARG OPTIONS Specifies any additional options or flags to pass to the docker run command IMAGE Specifies the Docker image to use as the basis for the new container COMMAND Specifies the command to run inside the container ARG Specifies any additional arguments to pass to the command Here is a list of some of the most commonly used options for the docker run command and their explanations d detach Runs the container in the background detached mode and returns control to the terminal This option is useful when you want to run a container as a background process p publish Publishes a container s port s to the host machine This option takes two arguments the first specifies the port to expose inside the container and the second specifies the port to map on the host machine For example docker run p maps port inside the container to port on the host machine v volume Mounts a host directory or a named volume as a data volume inside the container This option takes two arguments the first specifies the path to the directory or volume on the host machine and the second specifies the path inside the container to mount the volume For example docker run v path on host path in container mounts the host directory path on host inside the container at path in container name Assigns a custom name to the container instead of using a randomly generated one This option is useful when you need to refer to a container by a specific name e env Sets an environment variable inside the container This option takes an argument in the form of VAR value For example docker run e VAR value sets the environment variable VAR to value inside the container it interactive tty Runs the container in interactive mode and allocates a pseudo TTY This option is useful when you need to interact with the container s command line rm Removes the container automatically when it exits This option is useful when you want to create a container for a specific task that you don t need to keep around after it completes network Specifies the network to use for the container This option is useful when you need to connect a container to a specific network restart Specifies the restart policy for the container This option takes an argument in the form of on failure always unless stopped or a specific number of seconds to wait before restarting This option is useful when you need to automatically restart a container if it exits unexpectedly w workdir Sets the working directory inside the container This option takes an argument in the form of a path For example docker run w app sets the working directory inside the container to app How to set the multiple env variables To set multiple environment variables when running a container using the docker run command you can use multiple e flags or pass a file containing the variables using the env file flag Here are some examples Using multiple e flags docker run e VAR value e VAR value myimageUsing an env file Create a file named env listand add the environment variables with the key value format one per line VAR valueVAR valueThen pass this file to the container using the env fileflag docker run env file env list myimageIn both cases the container will have access to the environment variables VARand VAR Volume overviewThe volume or v option in Docker is used to mount a directory or file from the host machine into the container This allows the container to access and modify files on the host system To set up a volume when running a container using the docker run command you can use the following syntax docker run v path on host path in container myimageThis will mount the directory located at path on hoston the host machine into the path in container directory in the container You can also use named volumes or anonymous volumes to manage your data Here are some examples Using named volumes docker run v myvolume path in container myimageThis creates a named volume named myvolumeand mounts it into the path in containerdirectory in the container You can use the same volume across multiple containers to share data Using anonymous volumes docker run v path in container myimageThis creates an anonymous volume and mounts it into the path in container directory in the container Anonymous volumes are created and managed by Docker and are not intended to be shared across containers You can also set options for your volumes such as read only mode using the following syntax docker run v path on host path in container ro myimage docker builddocker build is a command in Docker that is used to build Docker images from a Dockerfile A Dockerfile is a text file that contains a set of instructions that are used to build a Docker image When you run the docker build command Docker reads the instructions from the Dockerfile and builds a Docker image that you can use to run a Docker container Here is an example command to build a Docker image from a Dockerfile docker build t myimage latest In this example we use the docker buildcommand to build a Docker image with the tag myimage latest The at the end of the command specifies the build context which is the directory containing the Dockerfile and any other files needed to build the Docker image The docker build command has several options that you can use to customize the build process Here are some of the most commonly used options t specifies the name and optionally a tag to assign to the built image f specifies the name of the Dockerfile to use for building the image build arg passes build time variables to the Dockerfile no cache forces Docker to build the image from scratch without using any cached layers pull forces Docker to pull the latest version of the base image before building the new image Here is an example command that uses some of these options docker build t myimage latest f Dockerfile prod build arg ENVIRONMENT production no cache pull In this example we specify a different Dockerfile Dockerfile prod to use for building the image and pass a build time variable ENVIRONMENT to the Dockerfile using the build arg option We also specify the no cacheoption to force Docker to build the image from scratch and the pulloption to ensure that we are using the latest version of the base image Docker Image Dockerfile and Docker ContainerThink of a Docker image as a recipe for a dish Just as a recipe lists all the ingredients and instructions for making a dish a Docker image lists all the dependencies and configurations required for running an application When you run a Docker image it creates a Docker container just as when you cook a dish using a recipe it creates a serving of the dish Now let s compare this to a Dockerfile A Dockerfile is like a chef s notebook that lists all the steps and ingredients required for creating a recipe In the same way a Dockerfile lists all the steps and configurations required for creating a Docker image Just as a chef can use their notebook to create different versions of a dish a developer can use a Dockerfile to create different versions of a Docker image To summarize a Docker image is like a recipe a Docker container is like a serving of the dish made from the recipe and a Dockerfile is like a chef s notebook that lists all the steps and ingredients required for creating the recipe DockerfileA Dockerfile is a text file that contains instructions for building a Docker image The Dockerfile defines how the Docker image should be built and what should be included in it Here are the components of a Dockerfile Base Image A Dockerfile starts with a base image which serves as the foundation for your application The base image is the starting point for building your Docker image You can choose from a variety of base images available on Docker Hub or create your own custom base image Maintainer The MAINTAINER instruction allows you to specify the author and email of the person who created the Dockerfile This is an optional field but it s a good practice to include it RUN The RUN instruction is used to execute commands during the Docker build process For example you can use the RUN instruction to install dependencies configure the environment and run tests COPY The COPY instruction is used to copy files from the host machine to the Docker image This is useful for copying your application code configuration files and other assets WORKDIR The WORKDIR instruction sets the working directory for subsequent instructions This is useful for ensuring that your application is running in the correct directory EXPOSE The EXPOSE instruction is used to specify the port on which your application listens This does not actually publish the port it only documents it To publish the port you need to use the p flag when running the container CMD The CMD instruction specifies the default command that should be run when the container starts This is usually the command that starts your application ENV The ENV instruction is used to set environment variables in the Docker image This is useful for configuring your application Base imageFROM node alpine Set working directoryWORKDIR app Copy package json and package lock json to the working directoryCOPY package json Install dependenciesRUN npm install Copy source code to the working directoryCOPY Expose port EXPOSE Define a named volume to persist dataVOLUME app data Set environment variablesENV NODE ENV productionENV PORT Start the applicationCMD npm start This Dockerfile uses the official Node js Alpine base image and sets the working directory to app It then copies the package json and package lock json files to the working directory and installs the dependencies using npm install Next it copies the source code to the working directory and exposes port using the EXPOSE command It defines a named volume called data that will be used to persist data even if the container is stopped and removed The ENV command sets two environment variables NODE ENV and PORT and the CMD command specifies that the application should be started using npm start With this Dockerfile you can build a Docker image that includes your Node js application and all its dependencies You can then run the container using the docker run command and mount the named volume to persist data like this docker run d p name my app v data app data my imageThis will start the container map port on the container to port on the host machine mount the named volume datato the app datadirectory inside the container and name the container my app Multiple env i am confused The envoption in docker run and the ENV instruction in the Dockerfile serve the same purpose which is to set environment variables for the container However there are a few differences between them env is used at runtime while ENV is used at build time When using env you can specify the environment variables as key value pairs in the command line while in ENV you specify them as environment variable assignments in the Dockerfile The values set with env can override the values set in the Dockerfile with ENV This means that if the same environment variable is set with both methods the value set with env takes precedence For example let s say we have the following Dockerfile FROM alpine latestENV MY VAR valueCMD sh If we build the image with docker build t my image the MY VAR environment variable will be set to value in the image However if we run a container from the image with docker run env MY VAR new value my image the MY VAR environment variable will be set to new value instead of value In summary both env and ENV are used to set environment variables in Docker containers but env is used at runtime and can override values set in the Dockerfile with ENV build arg build arg is a Docker CLI option that allows you to pass build time variables to a Dockerfile These variables can be used in the Dockerfile to customize the build process When you use build arg option you can specify the value of the argument by passing it on the command line like this docker build build arg VARIABLE NAME VALUE In the Dockerfile you can reference the build time variable using the syntax VARIABLE NAME For example FROM alpineARG VARIABLE NAMEENV ENV VARIABLE VARIABLE NAME In this example we are using the ARG instruction to define the VARIABLE NAME build time variable We are then using the ENV instruction to define an environment variable called ENV VARIABLE and setting its value to the value of the VARIABLE NAME build time variable Using build arg is useful when you want to pass dynamic information to the Docker build process such as version numbers build paths or other configuration options By using build time variables you can make your Docker builds more flexible and reusable docker pushdocker push is a command used to push a Docker image from a local machine to a Docker registry A Docker registry is a service that stores and distributes Docker images Docker Hub is a public Docker registry that allows users to store and share Docker images To push an image to a registry you must first tag it with the registry name and repository name For example if you want to push an image with the tag myimage to the Docker Hub repository named myrepo you would run the following command docker tag myimage myusername myrepo myimageThis command tags the image with the registry name myusername the repository name myrepo and the tag myimage Once you have tagged the image you can push it to the Docker Hub repository using the docker push command docker push myusername myrepo myimageThis command uploads the image with the tag myimage to the Docker Hub repository myrepo under the username myusername Note that you must be logged in to the Docker registry before you can push an image You can use the docker login command to log in to a registry using your Docker Hub credentials docker tagThe docker tagcommand is used to create a new tag for an existing Docker image The basic syntax of the docker tag command is as follows docker tag SOURCE IMAGE TAG TARGET IMAGE TAG Here SOURCE IMAGEis the name of the source Docker image and TARGET IMAGEis the name of the new image you want to create You can optionally specify a tag for both the source and target images For example let s say you have an image named myimagewith the tag latest To create a new tag for this image you can run the following command docker tag myimage latest myrepo myimage vThis command will create a new tag named vfor the myimageimage and will associate it with the myrepo repository on your Docker registry You can also use the docker tagcommand to rename an image For example if you want to rename the myimage image to mynewimage you can run the following command docker tag myimage mynewimageThis will create a new image named mynewimage that is identical to the myimage image In summary the docker tag command is a useful tool for managing your Docker images and providing additional names or versions for your images docker pullThe docker pull command is used to download Docker images from a registry It allows you to fetch a specific version of an image or the latest version of the image The basic syntax of the docker pullcommand is as follows docker pull OPTIONS NAME TAG DIGEST Here OPTIONSare any additional options that you want to pass to the docker pullcommand NAMEis the name of the Docker image that you want to download You can also specify the image tag using the TAGsyntax or the image digest using the DIGESTsyntax For example to download the latest version of the nginximage from Docker Hub you can use the following command docker pull nginxTo download a specific version of the nginximage you can specify the image tag as follows docker pull nginx This will download version of the nginximage OPTIONSHere are some common options for docker pull command all tags or a By default docker pull pulls only the latest image This option pulls all the available tags for the specified image repository disable content trust By default Docker verifies the authenticity of the image with Notary This option disables this check platform This option specifies the platform for the pulled image This is useful for multi architecture images quiet or q This option only displays the image ID of the pulled image registry mirror This option specifies a registry mirror to use for pulling the image no trunc By default docker pull truncates the image ID to the first characters This option displays the full length of the image ID Example usage Pull the latest version of an imagedocker pull myimage latest Pull all available tags for an image repositorydocker pull all tags myimage Disable content trust verificationdocker pull disable content trust myimage Pull a specific platform for a multi architecture imagedocker pull platform linux amd myimage Only display the image IDdocker pull quiet myimage Use a registry mirror to pull the imagedocker pull registry mirror https myregistrymirror com myimage Display the full length of the image IDdocker pull no trunc myimageA Docker registry mirror is a server that caches and serves Docker images from a remote registry such as Docker Hub When you pull an image Docker first checks the local registry mirror for the image and if it s not found it pulls the image from the remote registry This can improve the speed of pulling images especially in situations where multiple users or systems need to pull the same images repeatedly This only applies if you are using registry mirror option to pull the image Notary is an open source project that provides a trust framework for signing and verifying container images It helps ensure the integrity and authenticity of container images by allowing you to digitally sign them and store the signature in a trusted registry	2023-05-03 06:04:50
ニュース	BBC News - Home	Man arrested outside Buckingham Palace	https://www.bbc.co.uk/news/uk-65464885?at_medium=RSS&at_campaign=KARANGA	grounds	2023-05-03 06:28:55
ニュース	BBC News - Home	'The Gorilla' enters the lion's den - Ryder ready for 'Canelo' fight	https://www.bbc.co.uk/sport/boxing/65452138?at_medium=RSS&at_campaign=KARANGA	x The Gorilla x enters the lion x s den Ryder ready for x Canelo x fightJohn The Gorilla Ryder heads to the lion s den to face Saul Canelo Alvarez in Guadalajara Mexico aiming to pull off one of the biggest shocks in boxing history	2023-05-03 06:01:32
サブカルネタ	ラーブロ	佐野ＳＡ　佐野ラーメン　730円	http://ra-blog.net/modules/rssc/single_feed.php?fid=210025	rampkallrightsreserved	2023-05-03 07:06:11