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We stopped relying on bloom filters and now sort our ClickHouse primary key on a resource fingerprint. It cut our log query scans to 0.85% of blocks.

Hey folks, My team and I have been working on a performance optimization and wanted to share the results. We managed to cut log-query scanning from nearly all data blocks down to less than 1% by reorganizing how logs are stored in ClickHouse. Instead of relying on bloom-filter skip indexes, we generate a deterministic “resource fingerprint” (a hash of cluster...
Democratize data for timely decisions with text-to-SQL at Parcel Perform

This post was co-written with Le Vy from Parcel Perform. Access to accurate data is often the true differentiator of excellent and timely decisions. This is even more crucial for customer-facing decisions and actions. A correctly implemented state-of-the-art AI can help your organization simplify access to data for accurate and timely decision-making for the customer-facing business team, while reducing the...
Large codebase search benchmarks for Cursor, Windsurf, Claude Code, Copilot, Codex, and Jolt

submitted by /u/yev_yev_yev [link] [comments]
Presentation: Inflection Points in Engineering Productivity as Amazon Grew 30x

Transcript Arguelles: My name is Carlos Arguelles. I'm a Senior Principal Engineer in Amazon Worldwide Stores. I'm here to talk about inflection points that I got to see throughout my time at Amazon. It was an interesting time because the company grew by about 3000% while I was there. Lots of interesting little turns and so forth. First, I'm going to...
WebAssembly: Yes, but for What?

June 30, 2025Volume 23, issue 3 PDF WebAssembly: Yes, but for What? The keys to a successful Wasm deployment Andy Wingo WebAssembly (Wasm) turns 10 this year, which, in software terms, just about brings it to the age of majority. It has been polished, prepared, explored, and deployed, but in the language of American speculative fiction author William Gibson, we are...
Context Engineering: Going Beyond Prompt Engineering and RAG

The initial wave of large language model (LLM) development centered on prompt engineering – carefully crafting the right question or instruction to coax a desired answer. LLM developers and enthusiasts prided themselves on clever one-shot prompts like “You are an expert X. Do Y like Z”; and the term “prompt engineer” gained traction accordingly. However, as LLM-powered applications have grown...

A year of almost blogging

A year of almost blogging

Published by Arnon Rotem-Gal-Oz on December 28, 2018

2019 is around the corner and I am looking at how many blog posts I wrote this year and the number is a resounding zero.…

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Services and Aspects -when everyone is super no-one is

Services and Aspects -when everyone is super no-one is

Published by Arnon Rotem-Gal-Oz on March 7, 2017

For me, one of the telltale signs the whole microservices hoopla is a consultant marketing ploy is the whole microservices vs. monoliths thing – as…

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Microservices – it’s déjà vu all over again

Published by Arnon Rotem-Gal-Oz on December 19, 2016

I gave this presentation today @ SWSte 2016. Slides are available on slideshare: Microservices past and future – it's déjà vu all over again from…

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Big data in the cloud – welcome to cost oriented design

Big data in the cloud – welcome to cost oriented design

Published by Arnon Rotem-Gal-Oz on April 1, 2016

A couple of weeks ago I presented @ BDX2016 The slides are available on Slideshare Big data in the cloud – welcome to cost oriented…

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Don’t let your architecture become the new hardware

Don’t let your architecture become the new hardware

Published by Arnon Rotem-Gal-Oz on March 14, 2016

Yesterday I presented “Big data in the cloud – Welcome to cost oriented design” @ BDX2016 (slides are available here, and I think the video…

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