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LoriP

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投稿

Why do people participate in small online communities? (research paper)

arxiv.org
2 ポイント·投稿者 LoriP·4 年前·0 コメント

[untitled]

7 ポイント·投稿者 LoriP·4 年前·0 コメント

Learn OpenTelemetry tracing with this lightweight microservices demo

timescale.com
16 ポイント·投稿者 LoriP·4 年前·2 コメント

Select the most recent record (of many items) with PostgreSQL

blog.timescale.com
15 ポイント·投稿者 LoriP·4 年前·0 コメント

How to shape sample data with PostgreSQL generate_series() and SQL

blog.timescale.com
18 ポイント·投稿者 LoriP·4 年前·0 コメント

MLOps – 2021 Year in Review Machine Learning Ops

mlops.community
2 ポイント·投稿者 LoriP·5 年前·1 コメント

PostgreSQL vs. Python for data cleaning: A guide

blog.timescale.com
16 ポイント·投稿者 LoriP·5 年前·0 コメント

ESA's Solar Orbiter to swing past Earth this week

theregister.com
2 ポイント·投稿者 LoriP·5 年前·0 コメント

Using TimescaleDB with PGO, the Open Source Postgres Operator

blog.crunchydata.com
9 ポイント·投稿者 LoriP·5 年前·0 コメント

How to Analyze millions of NFT sales on OpenSea using PostgreSQL and TimescaleDB

blog.timescale.com
16 ポイント·投稿者 LoriP·5 年前·0 コメント

Climate Anxiety – reactions to unprecedented threats hardly surprising

irishtimes.com
3 ポイント·投稿者 LoriP·5 年前·0 コメント

A different and often better way to downsample your Prometheus metrics

blog.timescale.com
96 ポイント·投稿者 LoriP·5 年前·21 コメント

Comparing ClickHouse to PostgreSQL and TimescaleDB for time-series data

blog.timescale.com
251 ポイント·投稿者 LoriP·5 年前·175 コメント

Analyzing OpenTelemetry traces using SQL to gain better insights

blog.timescale.com
33 ポイント·投稿者 LoriP·5 年前·0 コメント

Grow worry-free: storage autoscaling on Timescale Cloud

blog.timescale.com
8 ポイント·投稿者 LoriP·5 年前·0 コメント

PostgreSQL vs. Python for data evaluation: what, why, and how

blog.timescale.com
5 ポイント·投稿者 LoriP·5 年前·0 コメント

Speeding up data analysis with TimescaleDB and PostgreSQL

blog.timescale.com
8 ポイント·投稿者 LoriP·5 年前·0 コメント

Matrix Calculus and Partial Derivatives

towardsdatascience.com
1 ポイント·投稿者 LoriP·5 年前·0 コメント

Enterprise Content: 5 Favorite Features in the Latest Version of WordPress

wpvip.com
1 ポイント·投稿者 LoriP·5 年前·0 コメント

The art of not taking things personally

medium.dave-bailey.com
451 ポイント·投稿者 LoriP·5 年前·166 コメント

コメント

LoriP
·4 年前·議論
That was a bad explanation on my part, sorry. They are still open source! But they diverged from keeping fully aligned with MySQL developments AFAIK so are no longer a fork/distribution as they are forging their own path.

So I was being unclear, the "until a couple of years ago" was referring to divergence rather than a change in license.
LoriP
·4 年前·議論
Thanks for sharing this point of view. For those interested, I wanted to share this blog post that explains the Timescale approach in detail. https://www.timescale.com/blog/building-open-source-business...

Timescale's community manager.
LoriP
·4 年前·議論
Your case in point dropped off, but Percona (MySQL and MongoDB distributions) and until a couple of years ago MariaDB fell into this category I think.
LoriP
·4 年前·議論
folks like to chat about benchmarks
LoriP
·4 年前·議論
Timescale doesn't charge for any of its software. Revenue comes from providing hosting services that are optimized towards TimescaleDB and PostgreSQL at scale.

The code is source-available, license philosophy is explained in this blog post https://www.timescale.com/blog/building-open-source-business...

That includes the HA implementation, and I think someone else shared the docs for that. Hope this helps.
LoriP
·4 年前·議論
Thanks for the mentions (and for using TimescaleDB).

If anyone's curious about TimescaleDB, it's packaged as an extension to Postgres, optimizing for performance, storage, and analysis of time series data. Implementing columnar compression algorithms is a big part of the secret sauce that makes TimescaleDB a popular choice with Postgres and SQL developers. You can read more about that on the Timescale blog (I'm Timescale's community manager btw). https://www.timescale.com/blog/search/?query=compression

If anyone's curious, the youtube channel may be a good place to start, especially this playlist https://www.youtube.com/playlist?list=PLsceB9ac9MHTtM1XWONMR...
LoriP
·4 年前·議論
Have to say I love this use case of TimescaleDB and Grafana – a perfect example of time series data used for something small and useful to prove a theory. In case anyone's tantalized the TimescaleDB YouTube channel has some great free how-to videos on setting up TimescaleDB and Grafana.
LoriP
·4 年前·議論
TimescaleDB is packaged as a postgres extension, there's a GitHub project here if anyone is interested to check in on that https://github.com/timescale/timescaledb
LoriP
·4 年前·議論
Hello would like to check in on this with you. You can find my email address in my profile, I am Timescale's community manager. Thanks!
LoriP
·4 年前·議論
Timescale is hiring for a Software Engineer (Database Internals) and this could also be a senior-level hire. It's based on PostgreSQL but if the rest of the resume stacks up it's not 100% essential that you've worked on PostgreSQL internals before. Global, remote.
LoriP
·4 年前·議論
This article discusses how TimescaleDB (packaged as an extension to PostgreSQL) approaches performance improvements, though it's a bit of an old piece and things have moved on with TimescaleDB too. It gives some good insights though. https://www.timescale.com/blog/timescaledb-vs-6a696248104e/ There are some more recent articles on the blog about performance and benchmarks if you're tantalized by that one.

Transparency: I work for Timescale
LoriP
·4 年前·議論
is there a possibility of server downtime using this service?
LoriP
·4 年前·議論
If you want some intro info – and you may have found it already – the YouTube channel is a great place to start for TimescaleDB youtube.com/TimescaleDB (for tranparency: I work for Timescale...)
LoriP
·4 年前·議論
Just wanted to say that TimescaleDB is an extension of PostgreSQL and so it uses SQL. MySQL would use SQL too.

InfluxDB does, indeed, have its own query language though.
LoriP
·4 年前·議論
Wonderful... I'll seek you out today, really appreciate your help. Maybe you will have the magic touch. (sorry for radio silence, timezones!)
LoriP
·4 年前·議論
Thank you, I might take you up on that...and exchange experiences lol
LoriP
·4 年前·議論
Timescale's Community Manager here. Unfortunately that's a longish story of a strongly opinionated Wikipedia editor.
LoriP
·5 年前·議論
"Bad things happen to good data"

Just one of many pearls of wisdom from the MLOps community, I'm convinced MLOps will be a top tech topic of 2022 (bigger than it is now I mean...)
LoriP
·5 年前·議論
Agree there... the writer is making a rod for their own back trying to list all databases in a title! PostgreSQL doesn't even get a mention. Though it's a good enough example of the kinds of things to look at and compare.

Thanks for the shout-out for TimescaleDB (I'm the community manager for Timescale...)
LoriP
·5 年前·議論
That looks like a project for next weekend to me... By which time some of this excitement may drop down, it's a shame if folk don't come back to it just because of overload on an unexpectant server!

Anyway, thanks for the work you did on this abstrct you have made a community manager very happy :)