tbragin

8 ms·

31.
by tbragin 3y ago
Coincidentally, as someone who worked on this blog, I was surprised (and pleased!) to see that we are not the only ones who felt the need to build a Zookeeper alternative. Looks like folks at StreamNative did as well, with their Oxia projec
32.
by tbragin 3y ago
Disclaimer: I worked on this blog with the team at ClickHouse. I like your suggestions! Some of the benefits we summarized in this summary page https://clickhouse.com/clickhouse/keeper include ease of setup and operati
33.
by tbragin 3y ago
The best way I found to arrive at an MVP it is to set a very aggressive time-based deadline, start executing, and aim to release something early to only a few users. Then rinse and repeat with another intermediate milestone. It then becomes
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by tbragin 3y ago
I don't understand why "big tech" is forcing tech workers to go back. Have they specified the reasons? Perhaps at bigger companies, it is easier to "hide" and not be productive, while working from home? Or is it bec
35.
30 Years Ago Myst Introduced Us to an Unforgettable Abandoned World(pastemagazine.com)
4 points by tbragin 3y ago|1 comments
36.
by tbragin 3y ago
I bet Mastodon will see a huge inflow of users once this goes into effect. Could be a boon for them as well.
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White House could force cloud companies to disclose AI customers(semafor.com)
7 points by tbragin 3y ago|2 comments
38.
by tbragin 3y ago
From the article: The provision would direct the Commerce Department to write rules forcing cloud companies like Microsoft, Google, and Amazon to disclose when a customer purchases computing resources beyond a certain threshold. The order h
39.
by tbragin 3y ago
> The big addition in this edition is a rebuilt search facility. That matters, because it's something users expect to just work. Mastodon 4.2 has therefore made it possible to search for users using by words in their bio and their n
40.
by tbragin 3y ago
> In earlier versions, you could search for hashtags, usernames, and display names but could not search the contents of profiles or posts (except by pasting in the URL, which we’ll get to). Now, it works more like the search box on basic
41.
by tbragin 4y ago
As someone responsible for pricing decisions at my company, it has been very interesting reading through this thread and processing the reactions. First, I will say that - I feel for users that are reading this blog and trying to process th
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by tbragin 4y ago
Congrats! I'll be watching :)
43.
by tbragin 4y ago
Agreed that marketing yourself is not toxic. I follow "swyx" on Twitter and find his insight valuable, and so do a lot of my peers. Btw, looks like his Github profile has not been updated for some time - he's no longer Head o
44.
by tbragin 4y ago
For a user perspective, you can also check out this recent blog: https://clickhouse.com/blog/hifis-migration-from-bigquery-to... TL;DR * HiFi moved because BQ pricing and query latency did not fit the needs for their
45.
by tbragin 4y ago
> Clickhouse the company is now providing a hosted solution. We are in India and were waiting for it to land in the India region to try it out. FYI - ClickHouse Cloud is now available for self-service in ap-south-1 (Mumbai).
46.
by tbragin 4y ago
Hi Cliff - A write unit does not correspond to a single INSERT. A single INSERT with less than 16MB of data generates ~0.01 “write unit”, so a single “write unit” typically corresponds to ~100 INSERTs. In your example, that would come close
47.
by tbragin 4y ago
So sorry about that! Could you send us an email at support@clickhouse.com and we'll get to the bottom of it?
48.
by tbragin 4y ago
An INSERT can consume less than one write unit, depending on how many rows and bytes it writes to how many partitions, columns, materialized views, data types, etc. So, a "write unit", which corresponds to hundreds of low-level wr
49.
by tbragin 4y ago
This benchmark focuses on analytical query latency for representative analytical queries, so yes - lower number is better.
50.
by tbragin 4y ago
With an analytical database like ClickHouse, you can write many rows with a single INSERT statement (thousands of rows, millions of rows, and more). In fact, this kind of batching is recommended. Larger inserts will consume more write units