Principal Solutions Architect Amazon Keyspaces https://xitter.cf/t.co/7s1Zj5aGyp
New York, NY
Joined July 2009
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November surprise
Amazon Keyspaces (for Apache Cassandra) has reduced prices by up to 75% on some key dimensions.
* Single-Region read and write request reduced by 13%-56%
* Multi-region read and write request reduced by 20%-65%
* Storage and Backups reduced by 16%-19%
* Time-to-live is reduced by 75%
aws.amazon.com/about-aws/wha…
Michael Raney retweeted
The world’s most accomplished tech founders and business leaders are betting hundreds of billions on AI with extraordinary conviction. Meanwhile much of the investing world thinks they’re making a massive mistake. The irony is hard to ignore. An investment industry where very few have historically managed to beat a passive index is now questioning the judgment of the people building the technology and running the businesses that will put it to work. Maybe the investors are right. Maybe the builders are. But I can’t remember a time when the stakes were this high and the two sides saw the future so differently.
It seems like stack overflow was really just killed by Reddit. Same questions but without the moderation.
Michael Raney retweeted
Mistral—a company based in France—had to copy Palantir’s FDE model to get customers.
They probably don’t even realize the idea originated from their own country…
Alex Karp and @ssankar invented the FDE model after discussing French restaurants:
“Forward-deployed engineers are stolen from French restaurants. That’s where the whole idea came from.”
“You sit in a French restaurant and you’re like, ‘why is the food so good?’”
“It’s because the waiter is an expert in the food and is preparing the food all the way to the end.”
“And if you ask for the craziest, dumbest thing that would blow up the restaurant, they’re like, ‘go somewhere else.’”
The code is always the source of truth.
Hi. Professional C/C++ programmer here. The open-source code I can find written by Adam Back and Satoshi Nakamoto don't look remotely similar.
Back's code looks typical of academic Unix programmers who also hack their code to run on Windows.
Satoshi code was written by a professional Windows programmer who also wrote for Unix.
Stylistically, they look nothing alike. There's not enough time between 2005 when I can find the newest Adam Back and January 2009 when Satoshi published Bitcoin/0.1 to account for the change. Both are perfectly competent programmers, but stylistically, they are completely different.
The NYTimes tried to compare their English language in posts/emails. I'm compare their C/C++ language in their open-source code. The NYTimes merely points out they both use C++ as if that's another corroborating detail, when the actual code seems to disqualify Adam Back.
Michael Raney retweeted
For two decades, S3 has been an object store, but today it's something broader. S3 Files lets you mount any bucket as a filesystem—no copies, no sync scripts, no choosing between file and object. @andywarfield tells the full story, including the "filerectories" that almost made the cut. allthingsdistributed.com/202…
Michael Raney retweeted
I realized something else AI has changed about coding: you don't get stuck anymore.
Programming used to be punctuated by episodes of extreme frustration, when a tricky bug ground things to a halt. That doesn't happen anymore.
Michael Raney retweeted
What if a codebase was actually stored in Postgres and agents directly modified files by reading/writing to the DB?
Code velocity has increased 3-5x. This will undoubtedly continue. PR review has already become a bottleneck for high output teams.
Codebase checked-out on filesystem seems like a terrible primitive when you have 10-100-1000 agents writing code.
Code is now high velocity data and should be modeled at such. Bare minimum, we need write-level atomicity and better coordination across agents, better synchronization primitives for subscribing to codebase state changes and real-time time file-level code lint/fmt/review.
The current ~20 year old paradigm of git checkout/branch/push/pr/review/rebase ended Jan 2026. We need an entirely new foundational system for writing code if we’re really going to keep pace with scale laws.
Michael Raney retweeted
@awscloud, thanks for the love ❤️
Supporting (vendor-neutral) open source projects is everything to us.
aws.amazon.com/opensource/
Michael Raney retweeted
The thing about crypto is at some point even all the haters will be using it every day, and they won’t even realize it
Michael Raney retweeted
@Apple, , thanks for the love ❤️
Supporting (vendor-neutral) open source projects is everything to us.
opensource.apple.com/project…
Michael Raney retweeted
At some point you will get an urge to vibe code an app. It’s very important that you listen to that urge and just get started.
Michael Raney retweeted
Here is my latest article on the world of databases: cs.cmu.edu/~pavlo/blog/2026/…
All the hot topics from the last year:
• More Postgres action!
• MCP for everyone!
• MongoDB gets litigious with FerretDB!
• File formats!
• Market movements!
• The richest person in the world!
Early networking is the key to getting the most out of re:Invent.
Today, I’ll be joining Greg Krumm for an AWS Meetup on NoSQL databases. I’m looking forward to connecting, swapping war stories, and helping folks think through their next database move.
If you’re at re:Invent and working with DynamoDB, Amazon Keyspaces, Cassandra, DocumentDB, and other NoSQL stores, come say hi 👋
Mandalay Bay 1:30 pst | Level 2 south | Oceanside C | Builders Loft | Meetup area | MUP115
lnkd.in/epzuivX2
Michael Raney retweeted
Very pleased to be working with Amazon to bring a lot more NVIDIA chips online for OpenAI to keep scaling!
Today’s apps are static, reshaped only through slow monolithic updates. Tomorrow, they’ll be formless—redesigned on the fly.
Data has long been compared to water—we talk about flows, pipelines, lakes, and streams. Amazon Keyspaces CDC Streams is a key step forward, bringing true modernization to Cassandra workloads.
I’ve built a connector library that leverages Keyspaces CDC Streams to transform data into different AWS targets, unlocking thousands of new capabilities and new architectures for your Cassandra workloads. As functionality becomes more generalized across connectors, LLMs make it easier than ever to generate new ones for different targets.
Currently, supported targets include S3, S3 Vector, Keyspaces (Materialized View), and SQS. github.com/aws-samples/sampl…
