Peter Inge

Peter Inge - CEO @

[Harry Nguyen @hazzngn]

Hope people aren’t tired of the “just use Postgres” meme yet (surely not @BenjDicken), but Postgres can be your filesystem too.

Today I’m launching sql-fs: a persistent bash sandbox over HTTP and MCP, backed by Postgres.

Most agent sandboxes still spin up VMs: cold start time, per-minute billing, and costs that climb when you run lots of sessions. I went a different way. just-bash is the virtual bash runtime. I built the distributed and persistent layer around it, which is a Postgres-backed virtual FS with consistency across replicas and in-process caching, so sandboxes are cheap to create, quick to resume, and durable across process restarts.

What you get:
• Filesystem state in your Postgres (RLS per sandbox)
• Content-addressable blobs (dedup across sandboxes)
• 3 layers of caching and locking for distributed exec
• Path and content caches so stat/read don’t hammer the DB every time

Repo: https://t.co/TZFrNNfEDy

I also wrote a longer blog post (see reply below) on how it works in depth. Have a read if you’re curious about the distributed design to achieve strong consistency :)

PS: thanks to @cramforce for the amazing just-bash!

[Peter Inge @DataSciencePI]

@hazzngn @BenjDicken @samlambert Awesome insight from the trenches of genuine scale builds and deployments!

[Harry Nguyen @hazzngn]

So i wrote about all the stuffs that actually hurt me :( in prod so you don't have to when scaling agents

P/S: probs not 100% perfect but definitely saved me a ton. Also, thanks to @BenjDicken, @samlambert and the teams for some crazy good blogs!

https://t.co/u29o2bcAMn

[Peter Inge @DataSciencePI]

Biggest Threat to Australia Isn't a Missile Dr. Sanjay Mazumdar on AI, Q... https://t.co/XEigbmp32i via @YouTube

[Peter Inge @DataSciencePI]

@beaverd Consulting in general is a long broken model that has repeatedly failed to deliver sustainable value creating outcomes, relative to capital invested. Consulting will be disrupted and will look very different in 3 years time.

[Peter Inge @DataSciencePI]

Factory Fireside - Nicola Dorling Group CIO Downer https://t.co/zJuEn2mj73 via @YouTube

[Peter Inge @DataSciencePI]

Factory Fireside:Strategy Glenn Smyth from Fragile to Agile EA, Data & AI https://t.co/u0YrYfZ5RB via @YouTube

[Peter Inge @DataSciencePI]

Factory Fireside - Peter Worthington-Eyre, Stop the FOMO: How to Actuall... https://t.co/0Z1NpH4CfV via @YouTube

[Peter Inge @DataSciencePI]

AI, Agents, the Agentic Web, Cognitive AI and the Agentic Future https://t.co/g5KqJ2ESeQ via @YouTube

[Peter Inge @DataSciencePI]

Factory Fireside by insightfactoryai https://t.co/UJ5TAOUdjC via @YouTube

[Peter Inge @DataSciencePI]

We recently launched the our podcast series Factory Fireside. The intent is to bring relevant data, AI and Agentic content to those who are building, operating and scaling in the enterprise. Check out Factory Fireside below —>

[Peter Inge @DataSciencePI]

@HarryStebbings Loved this episode…. I totally agree with his views on being decisive, having conviction in your decision making and just grinding it out!

[Peter Inge @DataSciencePI]

@rupen_chowdhury Pat Cummins didn’t run away he went home to be with his dying Mother…

[Peter Inge @DataSciencePI]

@rupen_chowdhury What an incredibly insensitive tweet following the passing of Pat Cummins mother - you should be ashamed of posting such trash

[Peter Inge @DataSciencePI]

@MarriottBonvoy @SheratonFiji stayed at the SheratonFiji in April they almost triple charged us for our room. After hour of phones calls, countless emails still no refund and no longer responding to my emails or communications… absolutely appalling customer service.

[The Late Show @colbertlateshow]

"If you did not know that Joe Biden was getting close to 270, Donald Trump just provided all the proof you will ever need."

[The New York Times @nytimes]

Here's a look at some of the highlights worth watching from late-night TV. https://t.co/ALhcKZCFn3

[Daniel Dale @ddale8]

I've fact checked Trump for more than four years. He has rarely before, if ever, had a period as comprehensively dishonest as this period right now: https://t.co/q3qCgKyMkm

[inGenious inSight @inGeniousinSig1]

#data #Analytics #DataAnalytics #datastrategy #analyticstrategy #DataScience
https://t.co/sdOIKgc8jI

[inGenious inSight @inGeniousinSig1]

#DataAnalytics #DataScience #MachineLearning #ML #Analytics https://t.co/GDXtXCq0be