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Observability Stack – AI First?

1•jblake•1h ago
So... I'm way behind. Just got into Claude this week... it's already doing most of my coding and bug fixes. Crazy stuff.

Some background on my company: Mature (14 yrs) Ruby on Rails app, Sidekiq, Redis, PG, AWS lambda/eventbridge, react/preact, swift, and others. Hosted on Heroku. Very database heavy. Solo guy, owner/operator.

Current stack:

Datadog logging (dabbled in APM, metrics, and others, but the build pack for Heroku is so bloated I had to remove it), so now it's a simple Heroku log drain to datadog. I really miss the statsd host and APM stuff... but it took my slug size from ~250mb to over 350 and made booting and deploys much slower. I'd also like to get off Heroku.... some day... but I can't event fathom it.

Bugsnag for errors. Already moved this to Sentry to try out the AI stuff.

A little fed up with Datadog and receiving $600 monthly bills on top of my enterprise commitment. biggest pain points: indexing is priced per line, not by gb (discourages me from simple logging, so I resort to putting events into a single request/job log line, then have complex chunking of messages to split them up so that Heroku log drains don't destroy the json).

The complexity of configuring datadog was a pain point, but AI has mostly solved that.

I want an all in one tool... it seems that would be best for AI to have all the context in one place. However, sentry logs is pretty green, slow, and doesn't do much. I tried BetterStack, again, pretty basic. Pricing is similar to datadog anyway. I do about 600gb + 50M lines a month.

So I've come to the conclusion that Datadog logs are still so much better than anything out there. But Sentry is quite a bit better for errors (I also have other projects: iOS app, react, vanilla JS).

Any tips? I love putting time into this stuff, it makes me so happy when I have to fix something and it's all there, but at some point - like the reason for using Heroku - I have a lot of other stuff I need to focus on.

The main reason for exploring a switch is to automate root cause analysis, bug fixing, performance improvements, etc. Im still a noobie with Claude, right now I'm just using it as a pair programmer in Claude Code vscode chat, sometimes CLI.

Why the Stock Market Makes No Sense

https://www.nytimes.com/2026/04/18/opinion/wall-street-markets-iran-ai.html
1•2OEH8eoCRo0•1m ago•1 comments

Zero-Copy GPU Inference from WebAssembly on Apple Silicon

https://abacusnoir.com/2026/04/18/zero-copy-gpu-inference-from-webassembly-on-apple-silicon/
1•agambrahma•1m ago•0 comments

Objection: An AI judge for investigating media claims

https://www.objection.ai/press-release
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Review: Machines of Loving Grace

https://jacobbrazeal.wordpress.com/2026/04/18/review-machines-of-loving-grace/
1•tibbar•4m ago•0 comments

See and hear galaxies evolving in new simulations

https://earthsky.org/space/see-and-hear-galaxies-evolving-new-simulations/
1•ganitam•5m ago•0 comments

What I Learned from Setting Up an Online Bookstore with WordPress Plugins

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1•severine•8m ago•0 comments

Monthly Overview for Developer Tools – April 2026

https://semanticed.online/monthly-developer-tools-2026-04
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Fundamentals of CuTe Layout Algebra and Category-Theoretic Interpretation [video]

https://www.youtube.com/watch?v=MVh_guNbWMA
1•matt_d•9m ago•0 comments

Show HN: Sostactic – polynomial inequalities using sums-of-squares in Lean

https://github.com/mmaaz-git/sostactic
1•mmaaz•11m ago•0 comments

We beat Google's zero-knowledge proof of quantum cryptanalysis

https://blog.trailofbits.com/2026/04/17/we-beat-googles-zero-knowledge-proof-of-quantum-cryptanal...
1•da-bacon•11m ago•0 comments

Homeland Security's New Task Force Website Sanitizes Trump's Deportation Agenda

https://www.motherjones.com/politics/2026/04/homeland-security-task-force-new-website-sanitizes-t...
1•cdrnsf•12m ago•0 comments

What Centuries of Mistakes Can Teach Us About Saving for Retirement

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Inferena: Local benchmark of PyTorch vs. Llama.cpp vs. Rust frameworks

http://inferena.tech/
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HIPPO Turns One Master Password into Many Without Storing Any

https://spectrum.ieee.org/storeless-password-manager
1•u1hcw9nx•14m ago•1 comments

Our Longing for Inconvenience

https://www.newyorker.com/culture/essay/our-longing-for-inconvenience
1•cdrnsf•15m ago•0 comments

David Sklansky, the 'First Nerd to Enter Poker,' Dies at 78

https://www.nytimes.com/2026/04/11/us/david-sklansky-dead.html
1•indigodaddy•15m ago•0 comments

Launching Ising, open models to accelerate the path to useful quantum computers

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3•hhs•16m ago•0 comments

What Is Llms.txt and Does Your Business Need One?

https://semarkglobal.com/blog/what-is-llms-txt-does-your-business-need-one
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Dad brains: How fatherhood rewires the male mind

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2•tchalla•22m ago•0 comments

Show HN: AWS's Kiro just got an Open source Codex

https://github.com/thabti/kirodex
2•sovietism•26m ago•0 comments

Pupil dilation suggests people start solving before all numbers are in

https://phys.org/news/2026-04-mental-math-shortcut-pupil-dilation.html
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Classic Papers: Articles That Have Stood the Test of Time

https://scholar.googleblog.com/2017/06/classic-papers-articles-that-have-stood.html
2•gregsadetsky•29m ago•0 comments

Why Zip drives dominated the 90s, then vanished almost overnight

https://www.xda-developers.com/zip-drives-dominated-90s-vanished-almost-overnight/
2•y1n0•32m ago•1 comments

The man who saw the future: the legacy of cultural theorist Mark Fisher

https://www.theguardian.com/film/2026/apr/17/we-are-making-a-film-about-mark-fisher-capitalist-re...
2•mellosouls•35m ago•0 comments

Robots learn: A brief, contemporary history

https://www.technologyreview.com/2026/04/17/1135416/how-robots-learn-brief-contemporary-history/
3•billybuckwheat•36m ago•0 comments

20000 Gates and 20 MIPS [pdf]

https://bitsavers.org/pdf/amdahl/history/20000_Gates_and_20_MIPS_199011.pdf
2•ingve•38m ago•1 comments

Tiny Go and Rust programs appear to start equally fast (on some machines)

https://utcc.utoronto.ca/~cks/space/blog/programming/GoVsRustStartupDelays
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AI writes code 100x faster – why hasn't productivity?

https://deeptils.github.io/blog/ai-writes-code-100x-faster-productivity-hasnt/
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British Empire: How a Small Island Took over the World

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Meshcore: Architecture for a Decentralized P2P LLM Inference Network

1•elyawhoo•53m ago•1 comments