dmytton

The blog post mentions "P99 of ~1s of producer-to-consumer latency". What about just producer latency i.e. message successfully received into the queue ready to be picked up? S3 writes seem be in the low 100s of ms so I assume that's part of the quoted end-to-end latency.

I'm tracking >200 betas for devtools, infra, & cloud projects at https://console.dev/betas/

You can get the feed via https://console.dev/betas/rss.xml and the 4-5 most interesting go into a weekly newsletter at https://console.dev/latest/

We've been featuring 3 devtools companies that are hiring for technical roles in the weekly https://console.dev/ newsletter since the start of this year. It's been seeing some very good click -> application rates.

We're now in the process of building out profiles on the website and are working with the companies to add interesting details about things like dev processes, tools used, tech stack, how planning works, how on-call works, etc.

Bit different from what SO does/did with our devtools focus. Our inspiration is the Joel Test, if anyone remembers that! https://www.joelonsoftware.com/2000/08/09/the-joel-test-12-s...

Also worth a mention is that Mozilla provide some cross-platform power monitoring tools as part of Firefox which you can build and run yourself:

https://firefox-source-docs.mozilla.org/performance/tools_po...

and a good description of how power consumption actually happens: https://firefox-source-docs.mozilla.org/performance/power_pr...

The story behind Svix and how the idea developed following Tom's work on the end-to-end encrypted backend product EteSync and Etebase is interesting, and something I covered with him in an interview last month:

https://console.dev/interviews/svix-tom-hacohen/

I've been using Deepnote to do some energy modelling for an academic paper I'm writing, and it's been great. The UI is much nicer than any other Jupyter editor I've used, and the integration with GitHub works well. Just started collaborating with some other researchers on another project so the real-time editing is coming in handy. So much better than using Excel.

I also interviewed their CTO, Jan Matas, as part of my developer interview services about how it's all built around k8s behind the scenes: https://console.dev/interviews/deepnote-jan-matas/

https://singhkays.com/blog/apple-silicon-m1-video-power-cons... has a writeup of power consumption for certain tasks on the Mac Mini M1 (not written by me).

Link: https://github.com/athensresearch/athens

I've been using Plausible on https://console.dev for 2 weeks now and will be paying once the trial ends. The UI is very straightforward and it makes it easy to see the key stats: visitors, popular pages, referrers, and goal tracking. We really don't need anything else and Plausible's reasonable, privacy-first approach to how they implement tracking[1] fits our philosophy. Google Analytics supports Google's mass tracking and I like the fact I have the option to run Plausible myself if I want.

Since our site is deployed on Cloudflare Workers, I had tried Cloudflare's Privacy Analytics but the dashboard data retention of just 1 week is insufficient. And unless you use their beacon, the network stats seem completely inaccurate.

[1] https://plausible.io/data-policy