June 26, 2025

309: Microsoft tries to give away cloud services for free, sadly, it’s only SQL

51 minutes

Welcome to episode 308 of The Cloud Pod – where the forecast is always cloudy! Justin and Matt are on hand and ready to bring you an action packed episode. Unfortunately, this one is also lullaby free. Apologies. This week we’re talking about Databricks and Lakebridge, Cedar Analysis, Amazon Q, Google’s little hiccup, and updates to SQL – plus so much more! Thanks for joining us.

Titles we almost went with this week:

KV Phone Home: When Your Key-Value Store Goes AWOL

When Your Coreless Service Finds Its Core Problem

Oracle’s Vanity Fair: Pretty URLs for Pretty Penny

From Warehouse to Lakehouse: Your Free Ticket to Cloud Town

1⃣Databricks Uno: Because One is the Loneliest Number

Free as in Beer, Smart as in Data Science

Cedar Analysis: Because Your Authorization Policies Wood Never Lie

Cedar Analysis: Teaching Old Policies New Proofs

Amazon Q Finally Learns to Talk to Other Apps

Tomorrow: Visual Studio’s Predictive Edit Revolution

The Ghost of Edits Future: AI Haunts Your Code Before You Write It

IAM What IAM: Google’s Identity Crisis Breaks the Internet

Permission Denied: The Day Google Forgot Who Everyone Was

403 Forbidden: When Google’s Bouncer Called in Sick

AWS Brings the Heat to Fusion Research

Larry’s Cloud Nine: Oracle Stock Soars on Forecast Raise

OCI You Later: Oracle Bets Big on Cloud Growth

Oracle’s Crystal Ball Shows 40% Cloud Growth Ahead

Meta Scales Up Its AI Ambitions with $14 Billion Investment

From FAIR to Scale: Meta’s $14 Billion AI Makeover

Congratulations Databricks one, you are now the new low code solution.

AWS burns power to figure out how power works

AI Is Going Great – Or How ML Makes Money

02:12 Zuckerberg makes Meta’s biggest bet on AI, $14 billion Scale AI deal

Meta is finalizing a $14 billion investment for a 49% stake in Scale AI, with CEO Alexandr Wang joining to lead a new AI research lab at Meta.

This follows similar moves by Google and Microsoft acquiring AI talent through investments rather than direct acquisitions to avoid regulatory scrutiny.

Scale AI specializes in data labeling and annotation services critical for training AI models, serving major clients including OpenAI, Google, Microsoft, and Meta.

The company’s expertise covers approximately 70% of all AI models being built, providing Meta with valuable intelligence on competitor approaches to model development.

The deal reflects Meta’s struggles with its Llama AI models, particularly the underwhelming reception of Llama 4 and delays in releasing the more powerful “Behemoth” model due to concerns about competitiveness with OpenAI and DeepSeek. Meta recently reorganized its GenAI u

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By Justin Brodley, Jonathan Baker, Ryan Lucas and Matthew Kohn

4.9

3434 ratings