travispett

require 'bundler/inline'

gemfile do
  source 'https://rubygems.org'
  gem 'benchmark-ips', '2.7.2'
end

require 'benchmark/ips'
require 'time'

travispett

JS_PATH = "app/assets/javascripts/**/*.js"; 
Dir[JS_PATH].each do |file_name|
  puts "\n#{file_name}"
  puts Uglifier.compile(File.read(file_name))
end

travispett

# When you have a field encrypted using attr_encrypted on a model,
# attr_encrypted hijacks the readers and writers to delegate them to
# its encrypt/decrypt methods.
# It makes it slightly more difficult to unencrypt the values
# while leaving the column name the same.

# This example uses a Monkey class with an encrypted attribute named 'banana',
# but the code is almost identical to the Account class this was pulled from.
# The end goal is an unencrypted banana.

travispett

# When you update attr_encrypted to 3.x, step 1 is CRITICAL
# and must be deployed at the same time of the gem update.
# The first two steps are not order-dependent but the first step
# depends on the gem version bump and the gem version bump depends on it.

# This example uses a Monkey class,
# but the code is almost identical to the Account class this was pulled from.

# *** 1 ***
# Update the column in use to insecure mode - backwards compatible

travispett

SELECT schemaname, tablename, attname
FROM pg_stats
WHERE most_common_vals IS NULL
AND most_common_freqs IS NULL
AND histogram_bounds IS NULL
AND correlation IS NULL
AND null_frac = 1;

travispett

system("gem install 'benchmark-ips'")
system("gem install 'benchmark-memory'")

require "benchmark/ips"
require "benchmark/memory"

class Foo
  def initialize(stuff)
    self.stuff = stuff
  end

travispett

Running nightmare on Amazon Linux

You may have thought of running nightmare on AWS Lambda. But before we can run it on Lambda, we need first to make it run on Amazon Linux.

Provision instance which replicates Lambda environment

According to AWS Documentation on Lambda Execution Environment and available Libraries we would need this AMI image with this alias amzn-ami-hvm-2016.03.3.x86_64-gp2. Keep in mind that AMI-image-id for this instance would be different in different regions (eg):

• In eu-west-1 - ami-f9dd458a
• In us-east-1 - ami-6869aa05