Month: March 2014
Shake: IOS app to help create legal agreements
Shake allows you to Create, sign and send legally binding agreements using your IOS device.
- When would I use Shake? – We designed Shake to let you quickly record
agreements for everyday transactions that you otherwise might do with a
verbal “handshake” agreement. For example, you’re lending someone you know
$300 – given the stakes, you might not need a long, intimidating loan
agreement, but wouldn’t it be nice to get something in writing? When does the
money need to be repaid? Is there a penalty if it’s late? Use Shake to agree
upfront on simple questions like this and you can avoid hassles later (not to
mention awkwardness and hard feelings).
When should I not use Shake? – Shake isn’t for complex or high-stakes
transactions. Are you selling your company? Shake is not for that. You should
talk with a lawyer. Are you selling your used computer on Craigslist or hiring
a freelance designer for a basic job? Shake is perfect for either of those.
It’s Dangerous: Python crypto library for signing data before sending through untrusted environments
“Various helpers to pass data to untrusted environments and to get it back safe and sound.”
Example Use Cases
- You can serialize and sign a user ID for unsubscribing of newsletters into URLs.
This way you don’t need to generate one-time tokens and store them in the database.
Same thing with any kind of activation link for accounts and similar things.
- Signed objects can be stored in cookies or other untrusted sources which means you don’t need to have sessions stored on the server,
which reduces the number of necessary database queries.
- Signed information can safely do a roundtrip between server and client in general which makes them useful for passing server-side state
to a client and then back.
Gilliam: Micro-services framework built on Docker, written in Python
I like the idea of micro services. It feels very Unix-y to me. This project is full of buzzword goodness: Docker, REST, JSON, event-driven IO… If only they had worked Git in somehow!
From the Gilliam website:
Gilliam is a open source Platform as a Service (PaaS) that allows you easily develop, deploy and scale your application backend. Unlike commercial
and many other open source PaaS systems, Gilliams is intended for Micro Service Architectures.
Gilliam stands on the sholders of Docker. Every piece of code running on Gilliam is a Docker image. To that Gilliam adds service discovery, a router,
scheduling and elastic scaling.
Book: xUnit Test Patterns: Refactoring Test Code
This is one of the books I reach for when I have tactical concerns about test code.
boto: Python interface to Amazon Web Services
Looks like a lovely API. The docs look pretty good. I love me some good docs!
From the boto Github page:
Boto is a Python package that provides interfaces to Amazon Web Services.
At the moment, boto supports:
- Amazon Elastic Compute Cloud (EC2)
- Amazon Elastic Map Reduce (EMR)
- Amazon Kinesis
- Content Delivery
- Amazon CloudFront
- Amazon Relational Data Service (RDS)
- Amazon DynamoDB
- Amazon SimpleDB
- Amazon ElastiCache
- Amazon Redshift
- Deployment and Management
- AWS Elastic Beanstalk
- AWS CloudFormation
- AWS Data Pipeline
- AWS Opsworks
- AWS CloudTrail
- Identity & Access
- AWS Identity and Access Management (IAM)
- Application Services
- Amazon CloudSearch
- Amazon Elastic Transcoder
- Amazon Simple Workflow Service (SWF)
- Amazon Simple Queue Service (SQS)
- Amazon Simple Notification Server (SNS)
- Amazon Simple Email Service (SES)
- Amazon CloudWatch
- Amazon Route53
- Amazon Virtual Private Cloud (VPC)
- Elastic Load Balancing (ELB)
- AWS Direct Connect
- Payments and Billing
- Amazon Flexible Payment Service (FPS)
- Amazon Simple Storage Service (S3)
- Amazon Glacier
- Amazon Elastic Block Store (EBS)
- Google Cloud Storage
- Amazon Mechanical Turk
- Marketplace Web Services
- AWS Support
Graphic Novel: Set to Sea by Drew Weing
Gamers With Jobs: A wonderful gaming site
One of the best video game communities on the net.
The also have one of the best video game podcasts around. This is probably the only “must listen” podcast in my playlist.
Beets: Extendable command-line tool & library for cataloging, manipulating, & accessing your music library written in Python
$ beet import ~/music/ladytron Tagging: Ladytron - Witching Hour (Similarity: 98.4%) * Last One Standing -> The Last One Standing * Beauty -> Beauty*2 * White Light Generation -> Whitelightgenerator * All the Way -> All the Way...
From the Beets Github page
- Fetch or calculate all the metadata you could possibly need: album art, lyrics,
genres, tempos, ReplayGain levels, or acoustic fingerprints.
- Get metadata from MusicBrainz, Discogs, or Beatport. Or guess metadata using
songs’ filenames or their acoustic fingerprints.
- Transcode audio to any format you like.
- Check your library for duplicate tracks and albums or for albums that are missing tracks.
- Clean up crufty tags left behind by other, less-awesome tools.
- Embed and extract album art from files’ metadata.
- Browse your music library graphically through a Web browser and play it in
any browser that supports HTML5 Audio.
- Analyze music files’ metadata from the command line.
- Listen to your library with a music player that speaks the MPD protocol and
works with a staggering variety of interfaces.
- If beets doesn’t do what you want yet, writing your own plugin is shockingly
simple if you know a little Python.
pfSense: Open Source Firewall
From the pfSense website:
The pfSense project is a free network firewall distribution, based on the
FreeBSD operating system with a custom kernel and including third party free
software packages for additional functionality. Through this package system
pfSense software is able to provide most of the functionality of common
commercial firewalls, and many times more.
pfSense software includes a web interface for the configuration of all included
components. Knowledge of FreeBSD is absolutely not necessary. Unlike some
similar GNU/Linux-based firewall distributions, there is no need for any UNIX
knowledge, no need to use the command line for anything, and no need to ever
manually edit any rule sets. In fact, the majority of pfSense users have never
installed or used a stock FreeBSD system. Users familiar with commercial
firewalls catch on to the web interface quickly, though there can be a learning
curve for users not familiar with commercial-grade firewalls.