Spreedly Engineering

The culture, practices, and perspectives of the Spreedly Engineering team

[Spreedly Engineering @SpreedlyEng]

Part II of our Riak to Kafka data pipeline series: https://t.co/2U3x2Fxi0s

Thanks to @StephenBallNC for this great article (and project).

[Spreedly Engineering @SpreedlyEng]

See what one of our interns was up to this summer: Machine Learning in Practice: Different than a Kaggle Competition https://t.co/2xRkRKnequ

[Spreedly Engineering @SpreedlyEng]

Don't be careless in production, scripts are code too!

The four characteristics of production safe scripts: https://t.co/DV4g4lMiIx

[Spreedly Engineering @SpreedlyEng]

@josh_robb 👨‍🚒🙇‍♀️

[Spreedly Engineering @SpreedlyEng]

Consensus is overrated

https://t.co/9EhhYAmmNM

[Spreedly Engineering @SpreedlyEng]

Pattern matching in Elixir - why all the hype? https://t.co/9IsU4fRRJZ

[Spreedly Engineering @SpreedlyEng]

How we're integrating Kafka into our data infrastructure at Spreedly. "From Riak to Kafka: Part I" https://t.co/HoOWOjfHxn

[Spreedly Engineering @SpreedlyEng]

Android Pay is gaining adoption. If you’re building payment systems our R2D2 decryption library might help? https://t.co/FNQhVjjCUm

[Jay Kreps @jaykreps]

The "Common Data Substrate", I'd call a "Streaming Platform". Either way, definitely a thing that's happening. https://t.co/hRDknLFKkT

[Apache Kafka @apachekafka]

Fantastic article on using Kafka as a common data substrate at @spreedly https://t.co/B94Noxzezx

[Devstack @devstack]

Excellent post from @spreedly https://t.co/dTpWYK0nmQ

[Spreedly Engineering @SpreedlyEng]

We've invested quite a bit into building a data substrate w/ @apachekafka. Read about our journey here https://t.co/9RDVZLdtxh

[Stephen Ball @MutableBall]

I don't think I'll ever get tired of watching our @SpreedlyEng Kafka data stream!

[Spreedly Engineering @SpreedlyEng]

Interested in learning how Apple Pay encryption works? Check out our Apple Pay decryption library, Gala: https://t.co/Zlzy69iID5

[Spreedly Engineering @SpreedlyEng]

How we @spreedly think about creating fair and effective work samples https://t.co/cddEqX7IKA