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張 旭

Trunk-based Development | Atlassian - 0 views

  • Trunk-based development is a version control management practice where developers merge small, frequent updates to a core “trunk” or main branch.
  • Gitflow and trunk-based development. 
  • Gitflow, which was popularized first, is a stricter development model where only certain individuals can approve changes to the main code. This maintains code quality and minimizes the number of bugs.
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  • Trunk-based development is a more open model since all developers have access to the main code. This enables teams to iterate quickly and implement CI/CD.
  • Developers can create short-lived branches with a few small commits compared to other long-lived feature branching strategies.
  • Gitflow is an alternative Git branching model that uses long-lived feature branches and multiple primary branches.
  • Gitflow also has separate primary branch lines for development, hotfixes, features, and releases.
  • Trunk-based development is far more simplified since it focuses on the main branch as the source of fixes and releases.
  • Trunk-based development eases the friction of code integration.
  • trunk-based development model reduces these conflicts.
  • Adding an automated test suite and code coverage monitoring for this stream of commits enables continuous integration.
  • When new code is merged into the trunk, automated integration and code coverage tests run to validate the code quality.
  • Trunk-based development strives to keep the trunk branch “green”, meaning it's ready to deploy at any commit.
  • With continuous integration, developers perform trunk-based development in conjunction with automated tests that run after each committee to a trunk.
  • If trunk-based development was like music it would be a rapid staccato -- short, succinct notes in rapid succession, with the repository commits being the notes.
  • Instead of creating a feature branch and waiting to build out the complete specification, developers can instead create a trunk commit that introduces the feature flag and pushes new trunk commits that build out the feature specification within the flag.
  • Automated testing is necessary for any modern software project intending to achieve CI/CD.
  • Short running unit and integration tests are executed during development and upon code merge.
  • Automated tests provide a layer of preemptive code review.
  • Once a branch merges, it is best practice to delete it.
  • A repository with a large amount of active branches has some unfortunate side effects
  • Merge branches to the trunk at least once a day
  • The “continuous” in CI/CD implies that updates are constantly flowing.
張 旭

Tagging AWS resources - AWS General Reference - 0 views

  • assign metadata to your AWS resources in the form of tags.
  • a user-defined key and value
  • Tag keys are case sensitive.
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  • tag values are case sensitive.
  • Tags are accessible to many AWS services, including billing.
  • personally identifiable information (PII)
  • apply it consistently across all resource types.
  • Use automated tools to help manage resource tags.
  • Use too many tags rather than too few tags.
  • Tag policies let you specify tagging rules that define valid key names and the values that are valid for each key.
  • Name – Identify individual resources
  • Environment – Distinguish between development, test, and production resources
  • Project – Identify projects that the resource supports
  • Owner – Identify who is responsible for the resource
  • Each resource can have a maximum of 50 user created tags.
  • For each resource, each tag key must be unique, and each tag key can have only one value.
  • Tag keys and values are case sensitive.
  • decide on a strategy for capitalizing tags, and consistently implement that strategy across all resource types.
  • AWS Cost Explorer and detailed billing reports let you break down AWS costs by tag.
  • An effective tagging strategy uses standardized tags and applies them consistently and programmatically across AWS resources.
  •  
    "assign metadata to your AWS resources in the form of tags."
張 旭

APP_KEY And You | Tighten - 0 views

  • The application key is a random, 32-character string stored in the APP_KEY key in your .env file.
  • Once your app is running, there's one place it uses the APP_KEY: cookies.
  • Laravel uses the key for all encrypted cookies, including the session cookie, before handing them off to the user's browser, and it uses it to decrypt cookies read from the browser.
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  • Encrypted cookies are an important security feature in Laravel.
  • All of this encryption and decryption is handled in Laravel by the Encrypter using PHP's built-in security tools, including OpenSSL.
  • Passwords are not encrypted, they are hashed.
  • Laravel's passwords are hashed using Hash::make() or bcrypt(), neither of which use APP_KEY.
  • Crypt (symmetric encryption) and Hash (one-way cryptographic hashing).
  • Laravel uses this same method for cookies, both the sender and receiver, using APP_KEY as the encryption key.
  • something like user passwords, you should never have a way to decrypt them. Ever.
  • Unique: The collision rate (different inputs hashing to the same output) should be very small
  • Laravel hashing implements the native PHP password_hash() function, defaulting to a hashing algorithm called bcrypt.
  • a one-way hash, we cannot decrypt it. All that we can do is test against it.
  • When the user with this password attempts to log in, Laravel hashes their password input and uses PHP’s password_verify() function to compare the new hash with the database hash
  • User password storage should never be reversible, and therefore doesn’t need APP_KEY at all.
  • Any good credential management strategy should include rotation: changing keys and passwords on a regular basis
  • update the key on each server.
  • their sessions invalidated as soon as you change your APP_KEY.
  • make and test a plan to decrypt that data with your old key and re-encrypt it with the new key.
張 旭

phusion/passenger-docker: Docker base images for Ruby, Python, Node.js and Meteor web apps - 0 views

  • Ubuntu 20.04 LTS as base system
  • 2.7.5 is configured as the default.
  • Python 3.8
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  • A build system, git, and development headers for many popular libraries, so that the most popular Ruby, Python and Node.js native extensions can be compiled without problems.
  • Nginx 1.18. Disabled by default
  • production-grade features, such as process monitoring, administration and status inspection.
  • Redis 5.0. Not installed by default.
  • The image has an app user with UID 9999 and home directory /home/app. Your application is supposed to run as this user.
  • running applications without root privileges is good security practice.
  • Your application should be placed inside /home/app.
  • COPY --chown=app:app
  • Passenger works like a mod_ruby, mod_nodejs, etc. It changes Nginx into an application server and runs your app from Nginx.
  • placing a .conf file in the directory /etc/nginx/sites-enabled
  • The best way to configure Nginx is by adding .conf files to /etc/nginx/main.d and /etc/nginx/conf.d
  • files in conf.d are included in the Nginx configuration's http context.
  • any environment variables you set with docker run -e, Docker linking and /etc/container_environment, won't reach Nginx.
  • To preserve these variables, place an Nginx config file ending with *.conf in the directory /etc/nginx/main.d, in which you tell Nginx to preserve these variables.
  • By default, Phusion Passenger sets all of the following environment variables to the value production
  • Setting these environment variables yourself (e.g. using docker run -e RAILS_ENV=...) will not have any effect, because Phusion Passenger overrides all of these environment variables.
  • PASSENGER_APP_ENV environment variable
  • passenger-docker autogenerates an Nginx configuration file (/etc/nginx/conf.d/00_app_env.conf) during container boot.
  • The configuration file is in /etc/redis/redis.conf. Modify it as you see fit, but make sure daemonize no is set.
  • You can add additional daemons to the image by creating runit entries.
  • The shell script must be called run, must be executable
  • the shell script must run the daemon without letting it daemonize/fork it.
  • We use RVM to install and to manage Ruby interpreters.
張 旭

Docker image building on GitLab CI | $AYMDEV() - 0 views

  • Continuous Integration (or CI) is a practice where you continously test an application to detect errors as soon as possible.
  • Docker is a container technology, many CI tools execute jobs (the tasks of a pipeline) in container to have an isolated environment.
  • Docker in Docker (« DinD » in short) means executing Docker in a Docker container.
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  • images are saved in the host registry, we can benefit from Docker layer caching
  • All jobs will share the same environment, if many of them run simultaneously they might get into conflicts.
  • storage management (accumulating images)
  • The Docker socket binding technique means making a volume of /var/run/docker.sock between host and containers.
  • all containers would share the same Docker daemon.
  • Add privileged = true in the [runners.docker] section, the privileged mode is mandatory to use DinD.
  • To avoid that the runner only run one job at a time, change the concurrent value on the first line.
  • To avoid building a Docker image at each job, it can be built in a first job, pushed to the image registry provided by GitLab, and pulled in the next jobs.
  • functional tests depending on a database.
  • Docker Compose allows you to easily start multiple containers, but it has no more feature than Docker itself
  • Docker in Docker works well, but has its drawbacks, like Docker layer caching which needs some more commands to be used.
張 旭

Syntax - Configuration Language | Terraform | HashiCorp Developer - 0 views

  • the native syntax of the Terraform language, which is a rich language designed to be relatively easy for humans to read and write.
  • Terraform's configuration language is based on a more general language called HCL, and HCL's documentation usually uses the word "attribute" instead of "argument."
  • A particular block type may have any number of required labels, or it may require none
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  • After the block type keyword and any labels, the block body is delimited by the { and } characters
  • Identifiers can contain letters, digits, underscores (_), and hyphens (-). The first character of an identifier must not be a digit, to avoid ambiguity with literal numbers.
  • The # single-line comment style is the default comment style and should be used in most cases.
  • he idiomatic style is to use the Unix convention
  • Indent two spaces for each nesting level.
  • align their equals signs
  • Use empty lines to separate logical groups of arguments within a block.
  • Use one blank line to separate the arguments from the blocks.
  • "meta-arguments" (as defined by the Terraform language semantics)
  • Avoid separating multiple blocks of the same type with other blocks of a different type, unless the block types are defined by semantics to form a family.
  • Resource names must start with a letter or underscore, and may contain only letters, digits, underscores, and dashes.
  • Each resource is associated with a single resource type, which determines the kind of infrastructure object it manages and what arguments and other attributes the resource supports.
  • Each resource type is implemented by a provider, which is a plugin for Terraform that offers a collection of resource types.
  • By convention, resource type names start with their provider's preferred local name.
  • Most publicly available providers are distributed on the Terraform Registry, which also hosts their documentation.
  • The Terraform language defines several meta-arguments, which can be used with any resource type to change the behavior of resources.
  • use precondition and postcondition blocks to specify assumptions and guarantees about how the resource operates.
  • Some resource types provide a special timeouts nested block argument that allows you to customize how long certain operations are allowed to take before being considered to have failed.
  • Timeouts are handled entirely by the resource type implementation in the provider
  • Most resource types do not support the timeouts block at all.
  • A resource block declares that you want a particular infrastructure object to exist with the given settings.
  • Destroy resources that exist in the state but no longer exist in the configuration.
  • Destroy and re-create resources whose arguments have changed but which cannot be updated in-place due to remote API limitations.
  • Expressions within a Terraform module can access information about resources in the same module, and you can use that information to help configure other resources. Use the <RESOURCE TYPE>.<NAME>.<ATTRIBUTE> syntax to reference a resource attribute in an expression.
  • resources often provide read-only attributes with information obtained from the remote API; this often includes things that can't be known until the resource is created, like the resource's unique random ID.
  • data sources, which are a special type of resource used only for looking up information.
  • some dependencies cannot be recognized implicitly in configuration.
  • local-only resource types exist for generating private keys, issuing self-signed TLS certificates, and even generating random ids.
  • The behavior of local-only resources is the same as all other resources, but their result data exists only within the Terraform state.
  • The count meta-argument accepts a whole number, and creates that many instances of the resource or module.
  • count.index — The distinct index number (starting with 0) corresponding to this instance.
  • the count value must be known before Terraform performs any remote resource actions. This means count can't refer to any resource attributes that aren't known until after a configuration is applied
  • Within nested provisioner or connection blocks, the special self object refers to the current resource instance, not the resource block as a whole.
  • This was fragile, because the resource instances were still identified by their index instead of the string values in the list.
  •  
    "the native syntax of the Terraform language, which is a rich language designed to be relatively easy for humans to read and write. "
張 旭

Configuring a cgroup driver | Kubernetes - 0 views

  • the systemd driver is recommended for kubeadm based setups instead of the cgroupfs driver, because kubeadm manages the kubelet as a systemd service.
張 旭

Ephemeral Containers | Kubernetes - 0 views

  • a special type of container that runs temporarily in an existing Pod to accomplish user-initiated actions such as troubleshooting.
  • you cannot add a container to a Pod once it has been created. Instead, you usually delete and replace Pods in a controlled fashion using deployments.
  • you can run an ephemeral container in an existing Pod to inspect its state and run arbitrary commands.
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  • Ephemeral containers differ from other containers in that they lack guarantees for resources or execution, and they will never be automatically restarted, so they are not appropriate for building applications.
  • Ephemeral containers are created using a special ephemeralcontainers handler in the API rather than by adding them directly to pod.spec, so it's not possible to add an ephemeral container using kubectl edit
  • distroless images enable you to deploy minimal container images that reduce attack surface and exposure to bugs and vulnerabilities.
  • enable process namespace sharing so you can view processes in other containers.
  •  
    "a special type of container that runs temporarily in an existing Pod to accomplish user-initiated actions such as troubleshooting. "
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