5 years of Envoy OSS
What’s it like running an OSS? Founder of Envoy talks more about customer-centric OSS, and what made Envoy succeed.
This is the thirty-fourth edition of CrunchX and here are the stories and resources we thought were worth spending the time.
1. Meta to Cut Headcount for First Time, Slash Budgets Across Teams
It finally looks like the straining bubble has finally burst at Meta as it announces a hiring freeze during the company’s internal weekly Q&A session. With other companies upping their privacy game and therefore curtailing Meta’s ad effectiveness along with a general decline in old-style social media, let’s not even talk about its lackluster foray into the ‘metaverse’, the decline looks like it is well and truly underway. Written by Kurt Wagner on Bloomberg and editorial selection by Dr. Stuart Woolley. Read the article here:
2. 5 years of Envoy OSS
What’s it like running an OSS? Founder of Envoy talks more about customer-centric OSS, and what made Envoy succeed. A great read for any aspiring developer, or anyone interested in OSS development. Written and published by Matt Klein and editorial selection by Miloš Živković. Read the article here:
3. From Development to Real Users: How to Create a Web Performance Story
How to measure web performance? At Spotify, they use Web Vitals. Utilizing Web Vitals to capture real users’ metrics, they can leverage the Google Analytics export to BigQuery and assemble a dashboard for real-time metrics to monitor web performance in the wild. Written by Vinicius Teixeira Dallacqua on Spotify R&D Engineering and editorial selection by Miloš Živković. Read the article here:
4. Google kills Stadia, will refund game purchases
Another one bites the dust with the expected announcement by Google of the closing down of its Stadia product. If you weren’t aware it was Google’s foray into the world of streaming gaming that was quickly superseded by a plethora of newer, better-positioned competitors. Now it finally goes the way of many of Google’s originally innovative products that just got left behind. Don’t worry, the mail looks safe. For now… Written by Ron Amadeo on Ars Technica and editorial selection by Dr. Stuart Woolley. Read the article here:
5. Real World Micro Services
I’m somewhat conflicted myself on the use of microservices in software projects as I don’t think they’re the panacea everyone plugging them seems to believe — but — there is a place for them, perhaps for flexibility, perhaps for quick and incremental deployment. Asim Aslam has released a series of open source microservice components on GitHub which may go a long way toward some kind of standardization and therefore prevent many of us from laboriously reinventing the wheel every time we get involved with them. Written by Asim Aslam on Micro Blog and editorial selection by Dr. Stuart Woolley. Read the article here:
6. 7 Steps to Mastering Machine Learning with Python in 2022
This article shows you how to teach yourself important skills when it comes to machine learning. The author has compiled her knowledge into seven steps that make it easy for you to use machine learning. Written by Natassha Selvaraj on KDNuggets and editorial selection by Christianlauer. Read the article here:
7. 8 Ways to improve your Search Application this Week
When searching for something on the world wide web becomes rather annoying or complicated, these 8 approaches and tips might be helpful for you to find your needed piece of information rather easily on the Internet. Written and published on KDNuggets and editorial selection by Christianlauer. Read the article here:
8. A Day in the Life of a Data Scientist: Expert vs. Beginner
The job of a Data Scientist becomes more and more popular amongst often younger people with a tech background. This article introduces two Data scientists who speak about how their days take place and what skills and characteristics the job of a Data Scientist are needed for. Written by Nisha Arya on KDNuggets and editorial selection by Christianlauer. Read the article here:
9. Top 5 Machine Learning Practices recommended by Experts
This article tries to help improve models by providing five machine learning best practices that are used by experts in this field. Focusing on the data and feature engineering are two of them. Written by Kanwal Mehreen on KDNuggets and editorial selection by Christianlauer. Read the article here:
10. EP15: What happens when you swipe a credit card?
What happens when we swipe the card? Great flow representation, and good food for thought. Recommended for any developer. Written by Alex Xu on ByteByteGo Newsletter and editorial selection by Miloš Živković. Read the article here:
These are our picks for this week. Hope you found something new, inspiring, astonishing, and knowledgeable news going around the tech space. Thank you very much for taking the time to read this edition of CrunchX. Look out for the next edition the following week.