amad

The Well-Architected Framework Checklist

This is the set of questions presented on The Well-Architected Framework whitepaper designed to evaluate how well your architecture is aligned with AWS best practices.

Security Pillar

Data Protection

• How are you encrypting and protecting your data at rest?

amad

#!/bin/sh

# NOTE:
# Make sure that the value of Name, Type, TTL are the same with your DNS Record Set

HOSTED_ZONE_ID=<YOUR_HOSTED_ZONE_ID>
RESOURCE_VALUE=<YOUR_DNS_RESOURCE_VALUE-ex:IP or dns>
DNS_NAME=<YOUR_DNS_NAME-ex: subdomain.domain.com>
RECORD_TYPE=<DNS_RECORD_TYPE-ex: A, CNAME>
TTL=<TTL_VALUE>

amad

{"lastUpload":"2020-08-08T10:13:59.555Z","extensionVersion":"v3.4.3"}

amad

trait Car {
  val doorsNb: Int

  override def equals(a: Any) = {
    a match {
      case c: Car => doorsNb == c.doorsNb
      case other  => false 
    }
  }
}

amad

Best Practices for Azure Redis

Below are a set of best practices that I recommend for most customers. This information is based on my experience helping hundreds of Azure Redis customers investigate various issues.

Configuration and Concepts

1. Use Standard or Premium Tier for Production systems. The Basic Tier is a single node system with no data replication and no SLA. Also, use at least a C1 cache. C0 caches are really meant for simple dev/test scenarios since they have a shared CPU core, very little memory, are prone to "noisy neighbor", etc.
2. Remember that Redis is an In-Memory data store. Read this article so that you are aware of scenarios where data loss can occur.
3. Configure your client library to use a "connect timeout" of at least 10 to 15 seconds, giving the system time to connect even under higher CPU conditions. If your client or server tend to be under high load

amad

Setting up iOS Universal Links

Table of Contents

• Resources
  • Resources General link resources
  • Validation tools
• Server configuration
  • Apple JSON Metadata file
• Create a JSON file called apple-app-association

amad

import numpy as np
from scipy.signal import find_peaks
from moviepy.editor import VideoFileClip, concatenate
import matplotlib.pyplot as plt
import sys
import argparse

ap = argparse.ArgumentParser()
ap.add_argument("-v", "--video", help="path to the video file")
args = vars(ap.parse_args())

amad

import numpy
import perfplot


perfplot.show(
    setup=lambda n: numpy.random.randint(0, 1000, n),
    kernels=[
        lambda a: a[::-1],
        lambda a: numpy.ascontiguousarray(a[::-1]),
        lambda a: numpy.fliplr([a])[0]

amad

Tutorial: Designing a GraphQL API

This tutorial was created by Shopify for internal purposes. We've created a public version of it since we think it's useful to anyone creating a GraphQL API.

It's based on lessons learned from creating and evolving production schemas at Shopify over almost 3 years. The tutorial has evolved and will continue to change in the future so nothing is set in stone.

amad

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm