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張 旭

Providers - Configuration Language - Terraform by HashiCorp - 0 views

www.terraform.io/...providers.html

terraform config devops

shared by 張 旭 on 11 Apr 19 - No Cached
  • By default, terraform init downloads plugins into a subdirectory of the working directory so that each working directory is self-contained.
  • Terraform optionally allows the use of a local directory as a shared plugin cache, which then allows each distinct plugin binary to be downloaded only once.
  • directory must already exist before Terraform will cache plugins; Terraform will not create the directory itself.
  • ...3 more annotations...
  • When a plugin cache directory is enabled, the terraform init command will still access the plugin distribution server to obtain metadata about which plugins are available, but once a suitable version has been selected it will first check to see if the selected plugin is already available in the cache directory.
  • When possible, Terraform will use hardlinks or symlinks to avoid storing a separate copy of a cached plugin in multiple directories.
  • Terraform will never itself delete a plugin from the plugin cache once it's been placed there.
  • 張 旭 on 11 Apr 19
     
    "By default, terraform init downloads plugins into a subdirectory of the working directory so that each working directory is self-contained."
張 旭

Running Terraform in Automation | Terraform - HashiCorp Learn - 0 views

learn.hashicorp.com/...unning-terraform-in-automation

devops terraform config

shared by 張 旭 on 11 Apr 19 - No Cached
  • In default usage, terraform init downloads and installs the plugins for any providers used in the configuration automatically, placing them in a subdirectory of the .terraform directory.
  • allows each configuration to potentially use different versions of plugins.
  • In automation environments, it can be desirable to disable this behavior and instead provide a fixed set of plugins already installed on the system where Terraform is running. This then avoids the overhead of re-downloading the plugins on each execution
  • ...12 more annotations...
  • the desire for an interactive approval step between plan and apply.
  • terraform init -input=false to initialize the working directory.
  • terraform plan -out=tfplan -input=false to create a plan and save it to the local file tfplan.
  • terraform apply -input=false tfplan to apply the plan stored in the file tfplan.
  • the environment variable TF_IN_AUTOMATION is set to any non-empty value, Terraform makes some minor adjustments to its output to de-emphasize specific commands to run.
  • it can be difficult or impossible to ensure that the plan and apply subcommands are run on the same machine, in the same directory, with all of the same files present.
  • to allow only one plan to be outstanding at a time.
  • forcing plans to be approved (or dismissed) in sequence
  • -auto-approve
  • The -auto-approve option tells Terraform not to require interactive approval of the plan before applying it.
  • obtain the archive created in the previous step and extract it at the same absolute path. This re-creates everything that was present after plan, avoiding strange issues where local files were created during the plan step.
  • a "build artifact"
  • 張 旭 on 11 Apr 19
     
    "In default usage, terraform init downloads and installs the plugins for any providers used in the configuration automatically, placing them in a subdirectory of the .terraform directory. "
crazylion lee

GitHub - yeriomin/YalpStore: Download apks from Google Play Store - 0 views

github.com/YalpStore

google play market apk download

shared by crazylion lee on 16 Apr 17 - No Cached
  • crazylion lee on 16 Apr 17
     
    "Download apks from Google Play Store"
ninecatswu

AppleDesignResources/SanFranciscoFont - 1 views

github.com/...SanFranciscoFont

font

shared by ninecatswu on 28 Nov 16 - No Cached
  • ninecatswu on 28 Nov 16
     
    The San Francisco font by Apple used in the Apple Watch, iOS 9, and OS X El Capitan. Originally found at https://developer.apple.com/watchos/download/ 如果沒Apple developer帳號，但需要安裝San Fancisco字型，可先使用
crazylion lee

strongSwan - IPsec VPN for Linux, Android, FreeBSD, Mac OS X, Windows - 0 views

www.strongswan.org

vpn linux OpenSource ipsec

shared by crazylion lee on 01 Jan 17 - No Cached
  • Current Release: 5.5.1 Download - Changelog strongSwan   the OpenSource IPsec-based VPN Solution
crazylion lee

Software Library: Amiga : Free Texts : Download & Streaming : Internet Archive - 0 views

archive.org/...softwarelibrary_amiga

game javascript

shared by crazylion lee on 10 Aug 16 - No Cached
  • crazylion lee on 10 Aug 16
     
    "Software Library: Amiga"
crazylion lee

GeoNames - 0 views

www.geonames.org/

maps geocoding database geography geo

shared by crazylion lee on 03 Apr 16 - Cached
  • crazylion lee on 03 Apr 16
     
    "The GeoNames geographical database covers all countries and contains over eight million placenames that are available for download free of charge."
crazylion lee

jkbrzt/httpie - 0 views

github.com/httpie

curl

shared by crazylion lee on 08 Aug 15 - No Cached
  • crazylion lee on 08 Aug 15
     
    "CLI HTTP client; user-friendly cURL replacement featuring intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. http://httpie.org"
crazylion lee

AppImage | Linux apps that run anywhere - 1 views

appimage.org

linux app software appimage

shared by crazylion lee on 20 Mar 16 - No Cached
  • crazylion lee on 20 Mar 16
     
    製作像是window,mac上的執行檔 ""As a user, I want to download an application from the original author, and run it on my Linux desktop system just like I would do with a Windows or Mac application." "As an application author, I want to provide packages for Linux desktop systems, without the need to get it 'into' a distribution and without having to build for gazillions of different distributions.""
張 旭

Boosting your kubectl productivity ♦︎ Learnk8s - 0 views

learnk8s.io/...kubectl-productivity

devops kubernetes kubectl

shared by 張 旭 on 09 Apr 19 - No Cached
  • kubectl is your cockpit to control Kubernetes.
  • kubectl is a client for the Kubernetes API
  • Kubernetes API is an HTTP REST API.
  • ...75 more annotations...
  • This API is the real Kubernetes user interface.
  • Kubernetes is fully controlled through this API
  • every Kubernetes operation is exposed as an API endpoint and can be executed by an HTTP request to this endpoint.
  • the main job of kubectl is to carry out HTTP requests to the Kubernetes API
  • Kubernetes maintains an internal state of resources, and all Kubernetes operations are CRUD operations on these resources.
  • Kubernetes is a fully resource-centred system
  • Kubernetes API reference is organised as a list of resource types with their associated operations.
  • This is how kubectl works for all commands that interact with the Kubernetes cluster.
  • kubectl simply makes HTTP requests to the appropriate Kubernetes API endpoints.
  • it's totally possible to control Kubernetes with a tool like curl by manually issuing HTTP requests to the Kubernetes API.
  • Kubernetes consists of a set of independent components that run as separate processes on the nodes of a cluster.
  • components on the master nodes
  • Storage backend: stores resource definitions (usually etcd is used)
  • API server: provides Kubernetes API and manages storage backend
  • Controller manager: ensures resource statuses match specifications
  • Scheduler: schedules Pods to worker nodes
  • component on the worker nodes
  • Kubelet: manages execution of containers on a worker node
  • triggers the ReplicaSet controller, which is a sub-process of the controller manager.
  • the scheduler, who watches for Pod definitions that are not yet scheduled to a worker node.
  • creating and updating resources in the storage backend on the master node.
  • The kubelet of the worker node your ReplicaSet Pods have been scheduled to instructs the configured container runtime (which may be Docker) to download the required container images and run the containers.
  • Kubernetes components (except the API server and the storage backend) work by watching for resource changes in the storage backend and manipulating resources in the storage backend.
  • However, these components do not access the storage backend directly, but only through the Kubernetes API.
    • 張 旭
      張 旭 on 09 Apr 19
       
      很精彩，相互之間都是使用 API call 溝通，良好的微服務行為。
  • double usage of the Kubernetes API for internal components as well as for external users is a fundamental design concept of Kubernetes.
  • All other Kubernetes components and users read, watch, and manipulate the state (i.e. resources) of Kubernetes through the Kubernetes API
  • The storage backend stores the state (i.e. resources) of Kubernetes.
  • command completion is a shell feature that works by the means of a completion script.
  • A completion script is a shell script that defines the completion behaviour for a specific command. Sourcing a completion script enables completion for the corresponding command.
  • kubectl completion zsh
  • /etc/bash_completion.d directory (create it, if it doesn't exist)
  • source <(kubectl completion bash)
  • source <(kubectl completion zsh)
  • autoload -Uz compinit compinit
  • the API reference, which contains the full specifications of all resources.
  • kubectl api-resources
  • displays the resource names in their plural form (e.g. deployments instead of deployment). It also displays the shortname (e.g. deploy) for those resources that have one. Don't worry about these differences. All of these name variants are equivalent for kubectl.
  • .spec
  • custom columns output format comes in. It lets you freely define the columns and the data to display in them. You can choose any field of a resource to be displayed as a separate column in the output
  • kubectl get pods -o custom-columns='NAME:metadata.name,NODE:spec.nodeName'
  • kubectl explain pod.spec.
  • kubectl explain pod.metadata.
  • browse the resource specifications and try it out with any fields you like!
  • JSONPath is a language to extract data from JSON documents (it is similar to XPath for XML).
  • with kubectl explain, only a subset of the JSONPath capabilities is supported
  • Many fields of Kubernetes resources are lists, and this operator allows you to select items of these lists. It is often used with a wildcard as [*] to select all items of the list.
  • kubectl get pods -o custom-columns='NAME:metadata.name,IMAGES:spec.containers[*].image'
  • a Pod may contain more than one container.
  • The availability zones for each node are obtained through the special failure-domain.beta.kubernetes.io/zone label.
  • kubectl get nodes -o yaml kubectl get nodes -o json
  • The default kubeconfig file is ~/.kube/config
  • with multiple clusters, then you have connection parameters for multiple clusters configured in your kubeconfig file.
  • Within a cluster, you can set up multiple namespaces (a namespace is kind of "virtual" clusters within a physical cluster)
  • overwrite the default kubeconfig file with the --kubeconfig option for every kubectl command.
  • Namespace: the namespace to use when connecting to the cluster
  • a one-to-one mapping between clusters and contexts.
  • When kubectl reads a kubeconfig file, it always uses the information from the current context.
  • just change the current context in the kubeconfig file
  • to switch to another namespace in the same cluster, you can change the value of the namespace element of the current context
  • kubectl also provides the --cluster, --user, --namespace, and --context options that allow you to overwrite individual elements and the current context itself, regardless of what is set in the kubeconfig file.
  • for switching between clusters and namespaces is kubectx.
  • kubectl config get-contexts
  • just have to download the shell scripts named kubectl-ctx and kubectl-ns to any directory in your PATH and make them executable (for example, with chmod +x)
  • kubectl proxy
  • kubectl get roles
  • kubectl get pod
  • Kubectl plugins are distributed as simple executable files with a name of the form kubectl-x. The prefix kubectl- is mandatory,
  • To install a plugin, you just have to copy the kubectl-x file to any directory in your PATH and make it executable (for example, with chmod +x)
  • krew itself is a kubectl plugin
  • check out the kubectl-plugins GitHub topic
  • The executable can be of any type, a Bash script, a compiled Go program, a Python script, it really doesn't matter. The only requirement is that it can be directly executed by the operating system.
  • kubectl plugins can be written in any programming or scripting language.
  • you can write more sophisticated plugins with real programming languages, for example, using a Kubernetes client library. If you use Go, you can also use the cli-runtime library, which exists specifically for writing kubectl plugins.
  • a kubeconfig file consists of a set of contexts
  • changing the current context means changing the cluster, if you have only a single context per cluster.
張 旭

mvn clean install - a short guide to Maven - 0 views

www.marcobehler.com/...install-a-short-guide-to-maven

programming java

shared by 張 旭 on 12 Aug 20 - No Cached
  • An equivalent in other languages would be Javascript’s npm, Ruby’s gems or PHP’s composer.
  • Maven expects a certain directory structure for your Java source code to live in and when you later do a mvn clean install , the whole compilation and packaging work will be done for you.
  • any directory that contains a pom.xml file is also a valid Maven project.
  • ...17 more annotations...
  • A pom.xml file contains everything needed to describe your Java project.
  • Java source code is to be meant to live in the "/src/main/java" folder
  • Maven will put compiled Java classes into the "target/classes" folder
  • Maven will also build a .jar or .war file, depending on your project, that lives in the "target" folder.
  • Maven has the concept of a build lifecycle, which is made up of different phases.
  • clean is not part of Maven’s default lifecycle, you end up with commands like mvn clean install or mvn clean package. Install or package will trigger all preceding phases, but you need to specify clean in addition.
  • Maven will always download your project dependencies into your local maven repository first and then reference them for your build.
  • local repositories (in your user’s home directory: ~/.m2/)
  • clean: deletes the /target folder.
  • mvn clean package
  • mvn clean install
  • package: Converts your .java source code into a .jar/.war file and puts it into the /target folder.
  • install: First, it does a package(!). Then it takes that .jar/.war file and puts it into your local Maven repository, which lives in ~/.m2/repository.
  • calling 'mvn install' would be enough if Maven was smart enough to do reliable, incremental builds.
  • figuring out what Java source files/modules changed and only compile those.
  • developers got it ingrained to always call 'mvn clean install' (even though this increases build time a lot in bigger projects).
  • make sure that Maven always tries to download the latest snapshot dependency versions
張 旭

How to write excellent Dockerfiles - 0 views

rock-it.pl/to-write-excellent-dockerfiles

docker server system

shared by 張 旭 on 10 Apr 17 - No Cached
  • minimize image size, build time and number of layers.
  • maximize build cache usage
  • Container should do one thing
    • 張 旭
      張 旭 on 10 Apr 17
       
      這個有待商榷，在 baseimage 的 blog 介紹中有詳細的討論。
  • ...25 more annotations...
  • Use COPY and RUN commands in proper order
  • Merge multiple RUN commands into one
  • alpine versions should be enough
  • Use exec inside entrypoint script
  • Prefer COPY over ADD
  • Specify default environment variables, ports and volumes inside Dockerfile
  • problems with zombie processes
  • prepare separate Docker image for each component, and use Docker Compose to easily start multiple containers at the same time
  • Layers are cached and reused
  • Layers are immutable
  • They both makes you cry
  • rely on our base image updates
  • make a cleanup
  • alpine is a very tiny linux distribution, just about 4 MB in size.
  • Your disk will love you :)
  • WORKDIR command changes default directory, where we run our RUN / CMD / ENTRYPOINT commands.
  • CMD is a default command run after creating container without other command specified.
  • put your command inside array
  • entrypoint adds complexity
  • Entrypoint is a script, that will be run instead of command, and receive command as arguments
  • Without it, we would not be able to stop our application grecefully (SIGTERM is swallowed by bash script).
  • Use "exec" inside entrypoint script
  • ADD has some logic for downloading remote files and extracting archives.
  • stick with COPY.
  • ADD
    • 張 旭
      張 旭 on 10 Apr 17
       
      不是說要用 COPY 嗎？
張 旭

How To Install and Use Docker: Getting Started | DigitalOcean - 0 views

www.digitalocean.com/...and-use-docker-getting-started

docker system deploy

shared by 張 旭 on 26 Oct 14 - No Cached
  • docker as a project offers you the complete set of higher-level tools to carry everything that forms an application across systems and machines - virtual or physical - and brings along loads more of great benefits with it
  • docker daemon: used to manage docker (LXC) containers on the host it runs
  • docker CLI: used to command and communicate with the docker daemon
  • ...20 more annotations...
  • containers: directories containing everything-your-application
  • images: snapshots of containers or base OS (e.g. Ubuntu) images
  • Dockerfiles: scripts automating the building process of images
  • Docker containers are basically directories which can be packed (e.g. tar-archived) like any other, then shared and run across various different machines and platforms (hosts).
  • Linux Containers can be defined as a combination various kernel-level features (i.e. things that Linux-kernel can do) which allow management of applications (and resources they use) contained within their own environment
  • Each container is layered like an onion and each action taken within a container consists of putting another block (which actually translates to a simple change within the file system) on top of the previous one.
  • Each docker container starts from a docker image which forms the base for other applications and layers to come.
  • Docker images constitute the base of docker containers from which everything starts to form
  • a solid, consistent and dependable base with everything that is needed to run the applications
  • As more layers (tools, applications etc.) are added on top of the base, new images can be formed by committing these changes.
  • a Dockerfile for automated image building
  • Dockerfiles are scripts containing a successive series of instructions, directions, and commands which are to be executed to form a new docker image.
  • As you work with a container and continue to perform actions on it (e.g. download and install software, configure files etc.), to have it keep its state, you need to “commit”.
  • Please remember to “commit” all your changes.
  • When you "run" any process using an image, in return, you will have a container.
  • When the process is not actively running, this container will be a non-running container. Nonetheless, all of them will reside on your system until you remove them via rm command.
  • To create a new container, you need to use a base image and specify a command to run.
  • you can not change the command you run after having created a container (hence specifying one during "creation")
  • If you would like to save the progress and changes you made with a container, you can use “commit”
  • turns your container to an image
張 旭

How to Use Docker on OS X: The Missing Guide | Viget - 0 views

viget.com/...cker-on-os-x-the-missing-guide

docker mac system deploy

shared by 張 旭 on 25 Oct 14 - No Cached
  • Docker is a client-server application.
  • The Docker server is a daemon that does all the heavy lifting: building and downloading images, starting and stopping containers, and the like. It exposes a REST API for remote management.
  • The Docker client is a command line program that communicates with the Docker server using the REST API.
  • ...9 more annotations...
  • interact with Docker by using the client to send commands to the server.
  • The machine running the Docker server is called the Docker host
  • Docker uses features only available to Linux, that machine must be running Linux (more specifically, the Linux kernel).
  • boot2docker is a “lightweight Linux distribution made specifically to run Docker containers.”
  • Docker server will run inside our boot2docker VM
  • boot2docker, not OS X, is the Docker host, not OS X.
  • Docker mounts volumes from the boot2docker VM, not from OS X
  • initialize boot2docker (we only have to do this once):
  • The Docker client assumes the Docker host is the current machine. We need to tell it to use our boot2docker VM by setting the DOCKER_HOST environment variable
張 旭

Using Workflows to Schedule Jobs - CircleCI - 1 views

circleci.com/workflows

circleci CI deploy system

shared by 張 旭 on 25 Nov 18 - No Cached
  • A workflow is a set of rules for defining a collection of jobs and their run order.
  • Schedule workflows for jobs that should only run periodically.
  • run multiple jobs in parallel
  • ...37 more annotations...
  • rerun just the failed job
  • Builds without workflows require a build job.
  • Refer the YAML Anchors/Aliases documentation for information about how to alias and reuse syntax to keep your .circleci/config.yml file small.
  • workflow orchestration with two parallel jobs
  • jobs run according to configured requirements, each job waiting to start until the required job finishes successfully
  • requires: key
  • fans-out to run a set of acceptance test jobs in parallel, and finally fans-in to run a common deploy job.
  • Holding a Workflow for a Manual Approval
  • Workflows can be configured to wait for manual approval of a job before continuing to the next job
  • add a job to the jobs list with the key type: approval
  • approval is a special job type that is only available to jobs under the workflow key
  • The name of the job to hold is arbitrary - it could be wait or pause, for example, as long as the job has a type: approval key in it.
  • schedule a workflow to run at a certain time for specific branches.
  • The triggers key is only added under your workflows key
  • using cron syntax to represent Coordinated Universal Time (UTC) for specified branches.
  • By default, a workflow is triggered on every git push
  • the commit workflow has no triggers key and will run on every git push
  • The nightly workflow has a triggers key and will run on the specified schedule
  • Cron step syntax (for example, */1, */20) is not supported.
  • use a context to share environment variables
  • use the same shared environment variables when initiated by a user who is part of the organization.
  • CircleCI does not run workflows for tags unless you explicitly specify tag filters.
  • CircleCI branch and tag filters support the Java variant of regex pattern matching.
  • Each workflow has an associated workspace which can be used to transfer files to downstream jobs as the workflow progresses.
  • The workspace is an additive-only store of data.
  • Jobs can persist data to the workspace
  • Downstream jobs can attach the workspace to their container filesystem.
  • Attaching the workspace downloads and unpacks each layer based on the ordering of the upstream jobs in the workflow graph.
  • Workflows that include jobs running on multiple branches may require data to be shared using workspaces
  • To persist data from a job and make it available to other jobs, configure the job to use the persist_to_workspace key.
  • Files and directories named in the paths: property of persist_to_workspace will be uploaded to the workflow’s temporary workspace relative to the directory specified with the root key.
  • Configure a job to get saved data by configuring the attach_workspace key.
  • persist_to_workspace
  • attach_workspace
  • To rerun only a workflow’s failed jobs, click the Workflows icon in the app and select a workflow to see the status of each job, then click the Rerun button and select Rerun from failed.
  • if you do not see your workflows triggering, a configuration error is preventing the workflow from starting.
  • check your Workflows page of the CircleCI app (not the Job page)
  • 張 旭 on 25 Nov 18
     
    "A workflow is a set of rules for defining a collection of jobs and their run order."
張 旭

pre-commit - 0 views

pre-commit.com

programming code development

shared by 張 旭 on 21 Dec 18 - No Cached
  • a multi-language package manager for pre-commit hooks
  • pre-commit is specifically designed to not require root access
  • We copied and pasted unwieldy bash scripts from project to project and had to manually change the hooks to work for different project structures.
  • ...3 more annotations...
  • adding pre-commit plugins to your project is done with the .pre-commit-config.yaml configuration file.
  • The pre-commit config file describes what repositories and hooks are installed.
  • This configuration says to download the pre-commit-hooks project and run its trailing-whitespace hook
  • 張 旭 on 21 Dec 18
     
    "a multi-language package manager for pre-commit hooks"
張 旭

VMware ISO - Builders - Packer by HashiCorp - 0 views

www.packer.io/...vmware-iso.html

packer virtualization image devops vmware

shared by 張 旭 on 12 Apr 19 - No Cached
  • Packer can use a remote VMware Hypervisor to build the virtual machine.
  • enable GuestIPHack
  • When using a remote VMware Hypervisor, the builder still downloads the ISO and various files locally, and uploads these to the remote machine.
  • ...3 more annotations...
  • Packer needs to decide on a port to use for VNC when building remotely.
  • vnc_disable_password - This must be set to "true" when using VNC with ESXi 6.5 or 6.7
  • remote_type (string) - The type of remote machine that will be used to build this VM rather than a local desktop product. The only value accepted for this currently is esx5. If this is not set, a desktop product will be used. By default, this is not set.
  • 張 旭 on 12 Apr 19
     
    "Packer can use a remote VMware Hypervisor to build the virtual machine."
張 旭

Intro to deployment strategies: blue-green, canary, and more - DEV Community - 0 views

dev.to/...blue-green-canary-and-more-3a3

devops deploy system micro service

shared by 張 旭 on 23 Nov 18 - No Cached
  • using a service-oriented architecture and microservices approach, developers can design a code base to be modular.
  • Modern applications are often distributed and cloud-based
  • different release cycles for different components
  • ...20 more annotations...
  • the abstraction of the infrastructure layer, which is now considered code. Deployment of a new application may require the deployment of new infrastructure code as well.
  • "big bang" deployments update whole or large parts of an application in one fell swoop.
  • Big bang deployments required the business to conduct extensive development and testing before release, often associated with the "waterfall model" of large sequential releases.
  • Rollbacks are often costly, time-consuming, or even impossible.
  • In a rolling deployment, an application’s new version gradually replaces the old one.
  • new and old versions will coexist without affecting functionality or user experience.
  • Each container is modified to download the latest image from the app vendor’s site.
  • two identical production environments work in parallel.
  • Once the testing results are successful, application traffic is routed from blue to green.
  • In a blue-green deployment, both systems use the same persistence layer or database back end.
  • You can use the primary database by blue for write operations and use the secondary by green for read operations.
  • Blue-green deployments rely on traffic routing.
  • long TTL values can delay these changes.
  • The main challenge of canary deployment is to devise a way to route some users to the new application.
  • Using an application logic to unlock new features to specific users and groups.
  • With CD, the CI-built code artifact is packaged and always ready to be deployed in one or more environments.
  • Use Build Automation tools to automate environment builds
  • Use configuration management tools
  • Enable automated rollbacks for deployments
  • An application performance monitoring (APM) tool can help your team monitor critical performance metrics including server response times after deployments.
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