Sourced.tech

Sourced.tech

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source{d} is the Data Platform for the Software Development Life Cycle.

Source{d} is the only end to end IT analytics platform to provide executives with actionable insights about their codebases, software development processes, and teams.

Photos 08/11/2019

source{d} analysis of the Cloud Foundry codebase: The results show a mature and complex architecture yet extraordinarily active and agile. https://buff.ly/2PX6u4c

Photos 08/11/2019

Data Retrieval pipeline at source{d}
"Data collection and processing might be less sexy than but nevertheless is crucial for any progress" https://buff.ly/2pSohyT

Photos 07/11/2019

Managing with Context, Not Control by Andrew Spyker, Manager, Netflix Container Platform https://buff.ly/2PVSYht

Photos 07/11/2019

Software Delivery Performance, Multi-GPU and Overton https://buff.ly/2Nrumvu

Photos 07/11/2019

How do you know if your software is good enough? Rich Archbold, VP of Intercom shares his engineering standards that will help protect you from easily avoidable mistakes https://buff.ly/36CMQAF

Photos 07/11/2019

We analyzed all the TensorFlow git repositories with source{d} EE to extract interesting insights for the TensorFlow Community Check out our summary here: https://buff.ly/2Nof4ri

View the dashboard of the entire analysis here: https://buff.ly/32gRPUc

Photos 07/11/2019

"Many of the threats facing and transformation fall into four main camps."
1. No sense of urgency and an unclear vision
2. Lack of senior stakeholder sponsorship
3. Cultural resistance to change
4. Not understanding the change maturity curve https://buff.ly/2JY5ol3

Photos 06/11/2019

💥 "...Vendors such as source{d} are enabling developers to build increasingly complex software faster, with high quality, and better user experience.” 💥Mark Driver, Gartner https://buff.ly/2PUHMBA

Clean code... Why bother? - Part 2 06/11/2019

Yesterday we shared Part 1. Here is Part 2 of "Clean code... Why bother?" by Paula Santamaría, co-founder of Uppernauts

1. Clean code leads to better practices
2. Reviewing PRs is hard work
3. Reusability
4. Faster bug fixing

Clean code... Why bother? - Part 2 More reasons why I believe clean code is worth your time!

What is Machine Learning on Code? - KDnuggets 06/11/2019

Check out source{d} Lead Engineer, Vadim Markovtsev's article on KDnuggets "What is ?" https://buff.ly/2CdEXDx 🤖🎓 💻 📄

What is Machine Learning on Code? - KDnuggets Not only can MLonCode help companies streamline their codebase and software delivery processes, but it also helps organizations better understand and manage their engineering talents.

06/11/2019

source{d} CEO, Eiso Kant, had his article, "How Could Disrupt ," published on Enterprisetech

buff.ly

Clean code... Why bother? 06/11/2019

"Clean Code... Why bother?" https://buff.ly/34z2afC via Paula Santamaría, Co-Founder of Uppernauts

1. Your teammates will thank you
2. Think about your future self
3. Messy code tends to get messier
4. Faster decision making
5. Reduce repeated code
6. It feels great!

Clean code... Why bother? In this article I'll go through some of my favorite reasons why clean code is important and worth your time.

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