1602774000
A quintessential piece for anyone working with distributed systems is the Fallacies of Distributed Computing by L Peter Deutsch. Even when working with modern platforms such as Kubernetes, the assertions made in the Fallacies of Distributed Computing prove to be very true around latency, bandwidth and system administration.
Continuous Delivery practices and systems are increasing in popularity. When designing, implementing or maintaining Continuous Delivery systems, fallacies do exist. Similar to the eight Fallacies of Distributed Computing, there are eight Fallacies of Continuous Delivery.
A common pitfall in any system development is to build for the happy path. Because software requires innovation and iteration, deployments will fail, and a failure and recovery path needs to be accounted for.
In lower environments, confidence-building steps such as automated tests will have a higher failure / not-passing rate, as confidence is built into the deployment and feedback loops allow for corrections to eventually pass the test coverage.
People never stay in the same position forever. Deep expertise in bespoke deployments is at risk with those with tribal knowledge off-board. This also causes a steeper learning curve for those who onboard as platform administrators or onboard their application to the Continuous Delivery system.
A deployment is a culmination of potentially multiple teams and their respective services. There are several approaches to deployment, but because of variations in the scope of changes, rarely are two changes exactly the same. Certain deployments require downtime, while others may require a rolling or canary release strategy.
The time to decide or make a judgment call to rollback or roll forward certainly carries a cost. Depending on the criticality of the impacted system(s), the clock is ticking, battling the technical point of no return and impact to the business. Once a rollback or roll forward decision is made and executed, validation still needs to occur.
#continuous-integration #continuous-delivery #continuous-deployment #kubernetes #app-development #distributed-computing #devops #hackernoon-top-story
1602774000
A quintessential piece for anyone working with distributed systems is the Fallacies of Distributed Computing by L Peter Deutsch. Even when working with modern platforms such as Kubernetes, the assertions made in the Fallacies of Distributed Computing prove to be very true around latency, bandwidth and system administration.
Continuous Delivery practices and systems are increasing in popularity. When designing, implementing or maintaining Continuous Delivery systems, fallacies do exist. Similar to the eight Fallacies of Distributed Computing, there are eight Fallacies of Continuous Delivery.
A common pitfall in any system development is to build for the happy path. Because software requires innovation and iteration, deployments will fail, and a failure and recovery path needs to be accounted for.
In lower environments, confidence-building steps such as automated tests will have a higher failure / not-passing rate, as confidence is built into the deployment and feedback loops allow for corrections to eventually pass the test coverage.
People never stay in the same position forever. Deep expertise in bespoke deployments is at risk with those with tribal knowledge off-board. This also causes a steeper learning curve for those who onboard as platform administrators or onboard their application to the Continuous Delivery system.
A deployment is a culmination of potentially multiple teams and their respective services. There are several approaches to deployment, but because of variations in the scope of changes, rarely are two changes exactly the same. Certain deployments require downtime, while others may require a rolling or canary release strategy.
The time to decide or make a judgment call to rollback or roll forward certainly carries a cost. Depending on the criticality of the impacted system(s), the clock is ticking, battling the technical point of no return and impact to the business. Once a rollback or roll forward decision is made and executed, validation still needs to occur.
#continuous-integration #continuous-delivery #continuous-deployment #kubernetes #app-development #distributed-computing #devops #hackernoon-top-story
1617089618
Hello everyone! I just updated this tutorial for Laravel 8. In this tutorial, we’ll go through the basics of the Laravel framework by building a simple blogging system. Note that this tutorial is only for beginners who are interested in web development but don’t know where to start. Check it out if you are interested: Laravel Tutorial For Beginners
Laravel is a very powerful framework that follows the MVC structure. It is designed for web developers who need a simple, elegant yet powerful toolkit to build a fully-featured website.
#laravel 8 tutorial #laravel 8 tutorial crud #laravel 8 tutorial point #laravel 8 auth tutorial #laravel 8 project example #laravel 8 tutorial for beginners
1599536794
In this post, i will show you what’s new in laravel 8 version.
https://www.tutsmake.com/laravel-8-new-features-release-notes/
#laravel 8 features #laravel 8 release date #laravel 8 tutorial #news - laravel 8 new features #what's new in laravel 8 #laravel 8 release notes
1645610460
Nitpick
Command-line tool and flake8 plugin to enforce the same settings across multiple language-independent projects.
Useful if you maintain multiple projects and are tired of copying/pasting the same INI/TOML/YAML/JSON keys and values over and over, in all of them.
The CLI now has a nitpick fix
command that modifies configuration files directly (pretty much like black and isort do with Python files). See the CLI docs for more info.
Many more features are planned for the future, check the roadmap.
A "Nitpick code style" is a TOML file with the settings that should be present in config files from other tools.
Example of a style:
["pyproject.toml".tool.black]
line-length = 120
["pyproject.toml".tool.poetry.dev-dependencies]
pylint = "*"
["setup.cfg".flake8]
ignore = "D107,D202,D203,D401"
max-line-length = 120
inline-quotes = "double"
["setup.cfg".isort]
line_length = 120
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
combine_as_imports = true
This style will assert that:
setup.cfg
;pyproject.toml
.These are the file types currently handled by Nitpick.
nitpick fix
command);File type | nitpick check | nitpick fix |
---|---|---|
Any INI file | ✅ | ✅ |
Any JSON file | ✅ | ✅ |
Any plain text file | ✅ | ❌ |
Any TOML file | ✅ | ✅ |
Any YAML file | ✅ | ✅ |
.editorconfig | ✅ | ✅ |
.pylintrc | ✅ | ✅ |
setup.cfg | ✅ | ✅ |
File type | nitpick check | nitpick fix |
---|---|---|
Any Markdown file | #280 🚧 | ❓ |
Any Terraform file | #318 🚧 | ❓ |
Dockerfile | #272 🚧 | #272 🚧 |
.dockerignore | #8 🚧 | #8 🚧 |
.gitignore | #8 🚧 | #8 🚧 |
Jenkinsfile | #278 🚧 | ❓ |
Makefile | #277 🚧 | ❓ |
Nitpick has a builtin library of style presets, shipped as Python resources.
This library contains building blocks for your your custom style. Just choose styles from the table below and create your own style, like LEGO.
Read how to:
Style URL | Description |
---|---|
py://nitpick/resources/javascript/package-json | package.json |
Style URL | Description |
---|---|
py://nitpick/resources/kotlin/ktlint | ktlint |
Style URL | Description |
---|---|
py://nitpick/resources/presets/nitpick | Default style file for Nitpick |
Style URL | Description |
---|---|
py://nitpick/resources/proto/protolint | protolint (Protobuf linter) |
Install in an isolated global environment with pipx:
# Latest PyPI release
pipx install nitpick
# Development branch from GitHub
pipx install git+https://github.com/andreoliwa/nitpick
On macOS/Linux, install with Homebrew:
# Latest PyPI release
brew install andreoliwa/formulae/nitpick
# Development branch from GitHub
brew install andreoliwa/formulae/nitpick --HEAD
On Arch Linux, install with yay:
yay -Syu nitpick
Add to your project with Poetry:
poetry add --dev nitpick
Or install it with pip:
pip install -U nitpick
To fix and modify your files directly:
nitpick fix
To check for errors only:
nitpick check
Nitpick is also a flake8
plugin, so you can run this on a project with at least one Python (.py
) file:
flake8 .
Nitpick will download and use the opinionated default style file.
You can use it as a template to configure your own style.
If you use pre-commit on your project, add this to the .pre-commit-config.yaml
in your repository:
repos:
- repo: https://github.com/andreoliwa/nitpick
rev: v0.31.0
hooks:
- id: nitpick
There are 3 available hook IDs:
nitpick
and nitpick-fix
both run the nitpick fix
command;nitpick-check
runs nitpick check
.If you want to run Nitpick as a flake8 plugin instead:
repos:
- repo: https://github.com/PyCQA/flake8
rev: 4.0.1
hooks:
- id: flake8
additional_dependencies: [nitpick]
Nitpick is being used by projects such as:
For more details on styles and which configuration files are currently supported, see the full documentation.
Your help is very much appreciated.
There are many possibilities for new features in this project, and not enough time or hands to work on them.
If you want to contribute with the project, set up your development environment following the steps on the contribution guidelines and send your pull request.
Author: Andreoliwa
Source Code: https://github.com/andreoliwa/nitpick
License: MIT License
1622005584
AppClues Infotech is a mobile app development company providing high-end online and offline custom mobile app solutions to startups, small and medium businesses (SMBs) as well as large Fortune Global enterprises, spread across India, USA and UK.
Depending on the features the price of the application varies to develop On-demand Pizza Delivery App it may cost you around-$7000 to $20000.
Features Of AppClues App develpoment
Over the past years, AppClues Infotech has been able to successfully deliver and deploy many enterprise and consumer mobile apps for its clients.The applications developed by AppClues Infotech under mobility solutions have been spread across various platforms and development.
Our top-notch engineers craft flawless code for the system with the largest number of users in the world.
Why Choose us ?
AppClues Infotech Builds software that makes businesses more efficient and customers’ lives easier is what we’re bet at. Products we create are carefully designed with end users in mind and brought to life with elegantly written code.
#pizza delivery app development #on-demand pizza delivery app development #pizza delivery app development for android & iphone #pizza delivery app development company #food delivery app development #how to build a food delivery app