acossta

7 ms·

61.
Benchmarking AWS Lambda Cold Starts Across JavaScript Runtimes(deno.com)
1 points by acossta 2y ago|0 comments
62.
A different way to think about TypeScript(rob.directory)
1 points by acossta 2y ago|0 comments
63.
Token efficiency with structured output from language models(medium.com)
2 points by acossta 2y ago|0 comments
64.
Snowflake Polaris Data Catalog Is Now Open Source(snowflake.com)
1 points by acossta 2y ago|0 comments
65.
What Color Is Night?(atlasobscura.com)
1 points by acossta 2y ago|0 comments
66.
Battle of the Asyncs(brenelz.com)
1 points by acossta 2y ago|0 comments
67.
TypeScript 5.6 Beta – TypeScript(devblogs.microsoft.com)
2 points by acossta 2y ago|0 comments
68.
What we got wrong about HTTP imports(deno.com)
1 points by acossta 2y ago|0 comments
69.
by acossta 2y ago
Correct. Under the hood, they work as insert triggers that automatically update the target whenever the source table changes. But it's more than that. One neat thing is that it can handle incremental aggregations, such as AVG, SUM, and
70.
How top data teams are structured(medium.com)
3 points by acossta 2y ago|0 comments
71.
Materialized views in ClickHouse: The data transformation Swiss Army knife(propeldata.com)
17 points by acossta 2y ago|2 comments
72.
The rise of the analytics pretendgineer(benn.substack.com)
29 points by acossta 2y ago|6 comments
73.
Window Functions in ClickHouse(propeldata.com)
2 points by acossta 2y ago|0 comments
74.
by acossta 2y ago
Cool. Thanks for the update on this. That's awesome
75.
by acossta 2y ago
At Propel, we moved from Honeycomb and CloudWatch to SigNoz and ClickHouse, and we're pretty happy with the transition. We've significantly reduced our costs and gotten similar functionality. We like the traces that Signoz gives u
76.
In-depth: What is Customer-facing analytics?(propeldata.com)
1 points by acossta 2y ago|0 comments
77.
by acossta 2y ago
Q3 just got derailed for all Rockset customers. These migrations are going to be complicated as there is no 1-1 drop-in replacement. They will touch every aspect of the data lifecycle, from ingestion and transformation to serving. Query opt
78.
The Rockset Migration Service(propeldata.com)
2 points by acossta 2y ago|0 comments
79.
Why Our Dashboard Stands Out(stellate.co)
1 points by acossta 2y ago|0 comments
80.
Hacking our way to better team meetings(allthingsdistributed.com)
1 points by acossta 2y ago|0 comments
81.
Chrome Speculation Rules API(developer.chrome.com)
3 points by acossta 2y ago|0 comments
82.
From Twilio to Propel: Building Real-Time Customer-Facing Analytics at Scale [video](youtube.com)
1 points by acossta 2y ago|0 comments
83.
by acossta 2y ago
When you need to do large/medium-scale analytical queries. Postgres is fairly slow for aggregate/group queries needed for analytics. Think if you're building Google Analytics type functionality.
84.
Things engineers should know about talking to users(newsletter.posthog.com)
2 points by acossta 2y ago|0 comments
85.
What is Vite (and why is it so popular)?(blog.stackblitz.com)
1 points by acossta 2y ago|0 comments
86.
The only two log levels you need are INFO and ERROR(ntietz.com)
47 points by acossta 2y ago|43 comments
87.
Lambda, Kappa, Delta Architectures for Data(subrabytes.dev)
1 points by acossta 2y ago|0 comments
88.
MongoDB change data capture: An in-depth guide(propeldata.com)
3 points by acossta 2y ago|0 comments
89.
Stripe adopts Airbnb's Chronon for ML features(stripe.com)
3 points by acossta 2y ago|0 comments
90.
Scaling to Count Billions(canva.dev)
2 points by acossta 2y ago|0 comments

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