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Logging setup for FastAPI

This logging setup configures Structlog to output pretty logs in development, and JSON log lines in production.

Then, you can use Structlog loggers or standard logging loggers, and they both will be processed by the Structlog pipeline (see the hello() endpoint for reference). That way any log generated by your dependencies will also be processed and enriched, even if they know nothing about Structlog!

Requests are assigned a correlation ID with the asgi-correlation-id middleware (either captured from incoming request or generated on the fly). All logs are linked to the correlation ID, and to the Datadog trace/span if instrumented. This data "global to the request" is stored in context vars, and automatically added to all logs produced during the request thanks to Structlog. You can add to these "global local variables" at any point in an endpoint with `structlog.contextvars.bind_contextvars(custom

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Domain Modeling with Tagged Unions in GraphQL, ReasonML, and TypeScript

GraphQL has exploded in popularity since its open-source announcement in 2015. For developers who had spent a lot of time managing data transformations from their back-end infrastructure to match front-end product needs, GraphQL felt like a tremendous step forwards. Gone were the days of hand-writing BFFs to manage problems of over-fetching.

A lot of value proposition arguments around GraphQL have been about over/under fetching, getting the data shape you ask for, etc. But I think GraphQL provides us more than that—it gives us an opportunity to raise the level of abstraction of our domain, and by doing so allow us to write more robust applications that accurately model the problems we face in the real world (changing requirements, one-off issues).

An underappreciated feature of GraphQL is its type system, and in particular features like [union types](https:

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kube2iam your security partner

• Introduction
• Setup kube2iam in your cluster
• Setting up the Role in AWS
  • The Role
• Trust Relationship

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GraphQL Subscription with django-channels

Django channels are official way for implementing async messaging in Django.

The primary caveat when working with GraphQL subscription is that we can't serialize message before broadcasting it to Group of subscribers. Each subscriber might use different GraphQL query so we don't know how to serialize instance in advance.

See related issue

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#!/usr/bin/env bash
# This script is meant to build and compile every protocolbuffer for each
# service declared in this repository (as defined by sub-directories).
# It compiles using docker containers based on Namely's protoc image
# seen here: https://github.com/namely/docker-protoc

set -e

REPOPATH=${REPOPATH-/opt/protolangs}
CURRENT_BRANCH=${CIRCLE_BRANCH-"branch-not-available"}

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def getParameter(param_name):
    """
    This function reads a secure parameter from AWS' SSM service.

    The request must be passed a valid parameter name, as well as 
    temporary credentials which can be used to access the parameter.

    The parameter's value is returned.
    """
    # Create the SSM Client

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#Comprehensive Introduction to @ngrx/store By: @BTroncone

Also check out my lesson @ngrx/store in 10 minutes on egghead.io!

Update: Non-middleware examples have been updated to ngrx/store v2. More coming soon!

Table of Contents

aleury

Folder Structure

Motivations

• Clear feature ownership
• Module usage predictibility (refactoring, maintainence, you know what's shared, what's not, prevents accidental regressions, avoids huge directories of not-actually-reusable modules, etc)

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Commit Message Conventions

These rules are adopted from the AngularJS commit conventions.

• Goals
• Generating CHANGELOG.md
  • Recognizing unimportant commits
  • Provide more information when browsing the history
• Format of the commit message
• Subject line

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- name: ensure github.com is a known host
  lineinfile:
    dest: /root/.ssh/known_hosts
    create: yes
    state: present
    line: "{{ lookup('pipe', 'ssh-keyscan -t rsa github.com') }}"
    regexp: "^github\\.com"