AWS CloudFormation
Terraform
AWS Lambda
Bamboo
Codeship
Octopus Deploy
CircleCI
Google Cloud Deployment Manager
mypy
PyLint
flake8
PyFlakes
SonarQube
PyCharm
PyChecker
PEP8
AWS CloudFormation mypyBased on our record, AWS CloudFormation should be more popular than mypy. It has been mentiond 113 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Given AWS CloudFormation is AWS's native language and service for infrastructure as code, you will likely find more official quickstarts provided by AWS in the language. In addition to this, AWS Support will probably be more capable of assisting you with issues when you need help. AWS Support is essential for large enterprises, particularly those new to the cloud or slow to adopt. These types of organizations may... - Source: dev.to / 22 days ago
Today, I will show you how to build Amazon Location Service, which allows you to build location-based applications within your AWS environment using AWS Cloud Development Kit (AWS CDK) and AWS CloudFormation. I will also show examples of the recently popular CDK Migrate and AWS CloudFormation IaC generator. - Source: dev.to / about 1 month ago
AWS CloudFormation: Speed up cloud provisioning with infrastructure as code. - Source: dev.to / about 2 months ago
Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption,... - Source: dev.to / 3 months ago
Cloudformation (IaC) does not need to be introduced to anyone, plus if you read the previous blogpost, the terraform provider (CC) we used is based on Cloudformation. Moreover, you will notice a lot of similarities, after all, we are implementing the same scenario, but with a different tool. - Source: dev.to / 3 months ago
Mypy is "an optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing". As Python is dynamically typed, Mypy adds an extra layer of safety by checking types at compile time (based on type annotations conforming to PEP 484), catching potential errors before runtime. - Source: dev.to / 5 months ago
Mypy stands as an essential static type-checking tool. Its primary function is to verify the correctness of types in your codebase. However, manually annotating types in legacy code can be laborious and time-consuming. - Source: dev.to / 7 months ago
Lua is a great language for embedding, but one thing I wish it had was some form of optional type annotations that could be checked by a linter. Something like mypy for Lua would be super-useful. Source: 11 months ago
Python is a dynamically typed language (unlike C or java which are statically typed) meaning that there's no enforcement on the type. This var ; type syntax is called Type Hints, and they are just that, merely hints. So they serve as a reminder to developers of what types of variables a function should receive and output, but they implement no real restrictions. So if you try to pass a string to collatz for... Source: about 1 year ago
Mypy (https://mypy-lang.org/), the static type checker for python, so quite an important project in the python ecosystem. Source: about 1 year ago
Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.
PyLint - Pylint is a Python source code analyzer which looks for programming errors.
AWS Lambda - Automatic, event-driven compute service
flake8 - A wrapper around Python tools to check the style and quality of Python code.
Bamboo - Bamboo is a continuous integration and deployment tool that ties automated builds, tests and releases together in a single workflow.
PyFlakes - A simple program which checks Python source files for errors.