Viewing profile — spimmy

ha! ok, i never thought of it quite like that.

just made this exact same point myself, lower in this thread. (author here)

yes! love this. and many great engineers will go back to being "good engineers" as they pick up new skills. rinse and repeat++

i think it has to start with having engineering managers and directors who are deeply technical themselves. the idea that you can split up this work into "managers do the people st…

well obviously there's a ton of variance here. but in the type of engineering i'm most familiar with, any sizable amount of production services or surface layer being owned by a si…

oh wow i missed that, thank you!

many fair points here <3

idk, avoiding landmines seems like pretty significant business impact

because there is, by definition, an extremely limited supply of the "best engineers in the world". if you can afford to pay top-10% salaries, and attract and retain top-10% enginee…

i'm struggling to see how what you are saying you value is any different from what i am saying i value (author here).

Word.

insightful; cosign. (i wrote the piece)

This is a good insight, but they already have a therapist. :) (I am the author)

Excited to see this!! Very much on board with this sort of approach to the future -- wide, structured logs, a balance between machines doing the heavy lifting + humans adding inten…

jesus christ ok

it's weird that you think it's a sales pitch, when i ended it by pleading for other people to share writeups of their similar solutions. i know they exist, and i know people who ar…

HUGE +1 to mixing systems observability with product data. this is an oft-missed aspect of observability 2.0 that is increasingly critical. all of the interesting questions in soft…

they've had nice things in BI land for YEARS. it's very cobbler's children have no shoes that we're still over here in software land doling out little drips of cardinality, guessin…

i would love to hear how you are doing all the 2.0 stuff i described on datadog. you can't zoom in, zoom out, identify outliers and correlations.. the data doesn't exist! at best, …

my eyes popped at the "most expensive solution i've seen so far". compared to what?!? we don't like to promise "it's always cheaper", but .. it's always cheaper, lol. with datadog,…

i just think that metrics are the right tool for the job when the job is summarizing vast quantities of data. not when the job is understanding complex systems. in order to do that…

i'm not dismissing otel at all! under the hood, actually, everything is an event in otel ;)

hey, thanks! i would love to hear your feedback on how i could have made this simpler and easier to understand, if you have any. :)

What's wrong with banning politics at work?