Since begin of the yeat I do an experiemnt of using telegram channel as twitter and so far I like feedback from people who read it. If you don’t follow yet, are welcome.
Streaming Data by Andrew G. Psaltis. I like a detailed explanation of many caveats in redistributed architectures related to guarantees, performance, and fail-over. Many practical recommendations. In the high tempo of changing of modern technologies landscape, I missed SSE, and thanks to this book, I learned about it.
I could recommend reading it to everybody who does some real-time data processing and anyone who interested in the topic.
- About challenges with distributed systems from the company that knows what it is and how to overcome it.
- Acceptance Criteria: Purposes, Formats, and Best Practices. Set of good practices. Worth reading to anyone who works with requirements and technical writing.
- Clean code and long term thinking vs quick wins. Short summary in a few words:
It’s essential to realise what you are building and the impact it will have in the near and far future. Keep the short time roadmap concise and don’t over-invest (financially and technically) but also don’t try and outrun the liabilities you are taking on along the way.
- How to take smart notes. A hundred years ago, Niklas Luhmann built his own methodology that allowed him to collect, organize his knowledge in the system he called slim-box. This structured representation of his ideas and expertise allowed him to wrote 58 books and hundreds of articles. Amazingly it reminds hypertext and Wikipedia invented fifteen years earlier.
- An interesting interactive chart that represents who marry whom. A little insight: female CEOs tend to marry other CEOs; male CEOs are OK marrying their secretaries.
- What does happiness at work mean?. I like the language of this article. Happiness is one of the main topics of my blog. A little spoiler for impatient readers:
- Nowadays, startup and entrepreneurs use two separate strategies. In simple words, it could be described as trying to make $100/year from 1000 users or $1000/year from 100 users. Both are reasonable and have a lot of sense. More about difference and recommendations on how to gain more with each one in Andreessen Horowitz blog post