redmonk co-founder, sunshine in a bag, industry analyst loves developers, "motivating in a surreal kind of way". came up with "progressive delivery". he/him
@GuffNuff talks developer trust, support and the power of word-of-mouth on this brand new episode of @Redmonk’s MonkCast. Thanks to @monkchips for having us! Full episode here 👉
https://t.co/JiYQkfblkU
Hear @monkchips chat with Paul Brookes, senior AI engineer at @turintechai, about making AI inference faster and cheaper on the MonkCast https://t.co/ZQQ0gob4Lz
@red___square@googlecloud@steren@monkchips It's great for its target use cases!
If you want to run apps (Java, Python, Go, etc) or functions, need long timeouts, major CPU or RAM allocations, GPUs, services/jobs/workers, and access to all sorts of Cloud services, Cloud Run is an ideal bet.
We've always done a lot of private testing before publicly launching new Cloud Run features.
We work with googlers ("dogfood") and trusted testers ("private preview").
We are now doing something new: work with a team of agents.
They try 10x more use cases, stress test it, find bugs...
Without a doubt, @redmonk gets developers.
I was honored when @monkchips reached out to talk about the Cloud Run story. In this interview, I shared Cloud Run facts I never shared before. Check it out:
Today is a hard day. I shared this note with the @linear team today: We’ve made the difficult decision to increase our workforce. This is not a cost-cutting exercise or a reflection of anyone’s performance. We’re simply reimagining every role for the agentic AI era. We’re hiring. We’re sorry about that.
Hear @monkchips & @KateHolterhoff share their takeaways from #GoogleCloudNext 2026 in Las Vegas. The conversation covers multi-agent orchestration, highlighted by @Google's Gemini Enterprise Agent Platform & cross-cloud data connectivity via Iceberg https://t.co/FA76ciJV37
was talking to some folks a couple of weeks about the costs of the AI build out, but realized i hadn't run the numbers in a bit. so i did that.
https://t.co/GWN5tyXmjO