mjdrogalis

10 ms·

1.
Avro-explain: Better Avro error messages(github.com)
4 points by mjdrogalis 1y ago|1 comments
2.
by mjdrogalis 2y ago
Nice to see different example of how to process historical and streaming data that doesn't use a complicated lambda architecture.
3.
by mjdrogalis 2y ago
Author here. It's scary for everyone at first! I have a couple of newsletters about selling, of which this is probably my favorite: https://michaeldrogalis.substack.com/p/week-13-what-i-learne... Happy to answer a
4.
by mjdrogalis 2y ago
Hey there, thanks so much for the kind words. :)
5.
by mjdrogalis 2y ago
Woah, woke up surprised to see my Substack posted here. Happy to answer any questions!
6.
by mjdrogalis 2y ago
Hey, author here. I write a short weekly blurb (like this one) about how my startup is going. The origin story starts here: https://michaeldrogalis.substack.com/p/im-launching-4-startu... Let me know if you're won
7.
31 tricks to bootstrap a company(michaeldrogalis.substack.com)
2 points by mjdrogalis 3y ago|0 comments
8.
What I learned from running 60 sales calls(michaeldrogalis.substack.com)
4 points by mjdrogalis 3y ago|0 comments
9.
by mjdrogalis 3y ago
It's all good—I understand the need to protect the legitimacy of what's trending here. I think in this case, a lot of people who've been following me on other channels just wanted to show some support and weren't familia
10.
by mjdrogalis 3y ago
Hey, author here. No foul activity was intended. I've been building in public on Twitter and LinkedIn over the last few months and pre-announced the launch a few weeks in advance. I think a lot of the comments here were just folks flow
11.
by mjdrogalis 3y ago
Thanks Chuck! It's been cool getting feedback from you and the team the last few months. Customer-guided feedback FTW
12.
by mjdrogalis 3y ago
Thanks! Yeah, I didn't want to seem cheeky throwing out a big round number, but it feels ballpark right based on all the situations I've been in.
13.
by mjdrogalis 3y ago
Many thanks! Indeed, I'm looking forward to offering this as a cloud service someday.
14.
by mjdrogalis 3y ago
Thanks! I had initially built ShadowTraffic to help with simple demos, but I'm realizing over time that to run a good load test, you need the same kind of statistically accurate data.
15.
by mjdrogalis 3y ago
Hey everyone, founder of ShadowTraffic here. I built this product in 90 days bootstrapped on my own dollar, which was a wild experience all on its own. Happy to answer any questions :)
16.
ShadowTraffic: Rapidly simulate production traffic to your backend(shadowtraffic.io)
77 points by mjdrogalis 3y ago|21 comments
17.
Real-time GPT-4 through Apache Kafka(confluent.io)
8 points by mjdrogalis 3y ago|0 comments
18.
Integrating Apache Kafka with GPT-4(confluent.io)
4 points by mjdrogalis 3y ago|0 comments
19.
Real-time GPT-4 with streams from Apache Kafka(confluent.io)
5 points by mjdrogalis 3y ago|0 comments
20.
How to efficiently subscribe to a SQL query for changes(confluent.io)
2 points by mjdrogalis 5y ago|0 comments
21.
Efficiently Subscribe to a SQL Query for Changes(confluent.io)
11 points by mjdrogalis 5y ago|0 comments
22.
by mjdrogalis 5y ago
Is it an option to model it as a table/table join? t/t triggers when there's a change on either side of the expression. If that doesn't work, feel free to swing by our community Slack room and we can get into the weeds.
23.
by mjdrogalis 5y ago
Looks like a blip - we're working on fixing this right now.
24.
by mjdrogalis 5y ago
Hey, ksqlDB contributor from Confluent here. In addition to the migration tooling that you mentioned ( https://www.confluent.io/blog/easily-manage-database-migrati... ), ksqlDB also supports in-place schema evolution ( h
25.
The Query Your Database Can’t Answer(confluent.io)
15 points by mjdrogalis 5y ago|10 comments
26.
Are We There Yet? The Query Your Database Can’t Answer(confluent.io)
1 points by mjdrogalis 5y ago|0 comments
27.
by mjdrogalis 5y ago
ksqlDB ( http://ksqldb.io/ ) does exactly this out of the box. You write SQL queries whose results you can subscribe to with a client connection. Today these subscriptions are somewhat expensive, but we're actively worki
28.
Real-Time Materialized Views(confluent.io)
1 points by mjdrogalis 6y ago|0 comments
29.
by mjdrogalis 6y ago
As someone who’s spent a lot of time working on data pipelines, I think this is a great breakdown of the complexity most data engineers are facing. However, I think there’s two more keys to tidying up messy pipelines in practice: 1. You nee
30.
Kafka as a Storage System(blog.twitter.com)
2 points by mjdrogalis 6y ago|0 comments

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