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Cameron Archer

Cameron Archer

Verified

Writer and Owner, Gloryosky

Canada

Biography

Since 2008 Gloryosky (formerly URBMN) has promoted television and media, with a heavy Canadian focus. I have contributed to Canadian Screenwriter since 2011, and contributed to TV, eh? from 2012-13. Gloryosky currently seeks advertising and promotional opportunities.

Final Covers

Arts, Entertainment , Canadian Television, Streaming , Television, Radio , Canadian Radio, Media

Doesn’t Cover

What's not news.

Seniority Positions

Industries

Medium Formats

Content

Total articles 46

  • Using LLMs to generate user-defined real-time data visualizations

    By Cameron Archer| DEV Community@ Tinybird is an analytics backend for software applications, and as LLM usage and AI features become more commonplace, developers are increasingly using Tinybird to track LLM usage, costs, and performance, both internally and in user-facing features. We recently open sourced an app template, the LLM Performance Tracker, that includes a frontend + backend to capture LLM calls from your AI apps and analyze your LLM usage in real time.

    By Cameron Archer · DEV Community

    Apr. 17, 2025

  • Lessons learned from 5 years operating huge ClickHouse® clusters: Part II

    By Cameron Archer| DEV Community@ This is the second part of this series. You can read the first one here. Handling loadThis section is mostly about reads. I talked about ingestion in the previous post, and while reads and writes could use the same resources, I'm going to focus on reads in isolation, as if you only had reads. Well, I lied. Because I'm going to start by telling you: you can't decouple reads and writes.

    By Cameron Archer · DEV Community

    Apr. 16, 2025

  • We made an open source LLM Performance Tracker

    By Cameron Archer| DEV Community@ Building AI features can feel like flying a fighter jet through fog - the capabilities are incredible, but the visibility is limited. LLMs aren't like APIs - they give stochastic responses with non-deterministic costs, which makes observability very important. While building AI features is cool, we can't just build them. We have to operate them in production, track performance, analyze metrics, and iterate.

    By Cameron Archer · DEV Community

    Apr. 11, 2025

As seen in

Company Info

Gloryosky

Website about Canadian television/media, and Canadian/worldwide streaming media.

Founded: 2002