Cloud Computing
167 episodes · Page 2 of 7
#6165: Watching 20 Batch Jobs at Once
Batch APIs give you a discount, then hand you a babysitting job. Here's what actually watches a batch run — and what doesn't.
#6146: Grounding Is Not Solved: DIY vs Gateway vs Native Search
Bolt-on search, gateway search, or native grounding? The plumbing didn't vanish — it just moved to someone else's bill.
#6087: Building a Podcast Graph That Doesn't Suck
Daniel wants to turn a 6,000-episode archive into a walkable graph. Turns out the hard part isn't the database — it's the pruning.
#6009: Vertex AI Is Now the Gemini Agent Platform
Vertex AI just became the Gemini Enterprise Agent Platform. Here's the family tree, the five products, and when to actually move.
#6007: What a $1M AI Inference Contract Actually Contains
The sticker price isn't the deal. Inside the commit floors, discount curves, and overage traps of enterprise AI contracts.
#6003: What Enterprises Actually Pay for AI Inference
Twelve and a half billion dollars in enterprise API spend — and nobody can tell you who spent it. Inside AI's most undocumented market.
#6002: Claude on AWS: Three Doors, One Rate Card
Same per-token price everywhere — so why buy Claude through AWS instead of Anthropic? The answer is commitments, compliance, and silicon.
#6001: What Do Inference Providers Actually Sell?
Same open weights, 20x cost gap. What Fireworks, Together, and Groq actually sell — and when to just rent a GPU.
#5950: Self-Hosting Your Search Stack: SearXNG, Crawl4AI, and the Real Bill
Can SearXNG, Crawl4AI, and an open-source aggregator really replace a commercial search API? Yes — with a very large asterisk.
#5940: The Missing Middle: Content APIs and ISR for a 6,000-Episode Catalog
When your catalog is too big to rebuild on every change, what has to change? Turns out the missing middle might already exist.
#5912: Building Your Own CRM with AI: Where to Start
AI can't write your CRM for you — but it can remove the friction. Start with the schema, not the code.
#5911: What Revit 2027 Actually Costs to Run
Michael wants Revit live for AI agents 24/7. The GPU isn't the real bill — the licensing is.
#5910: Revit MCP in a VM: What Actually Works
Autodesk's official Revit MCP server is locked down and reliable-ish. The community ones execute arbitrary code on an open port. Neither runs unatt...
#5909: Connecting Postgres to Google Workspace
How a Postgres-backed app on Cloud Run talks to Gmail, Drive, Calendar, Docs, Sheets and Slides — without duplicating data.
#5885: The World's Oldest Software Still Running
From a 1958 Pentagon contract system to Voyager's 68KB computer, some software refuses to die. What's the oldest code still in production?
#5804: Text Classifiers: Local Models vs Always-On Endpoints
A specialist classifier costs $5.70 per million messages. A general LLM costs $142. So why is the obvious product so hard to find?
#5773: Declaring Environments: Compose, Nix, and the Agent Boundary
Docker Compose, Nix, devcontainers, microVMs — how automated provisioning works, and where the boundary moves when an agent needs a workspace.
#5759: Why Servers Have Two Power Cords
Dual-corded servers, transfer switches, and the layered engineering behind keeping data centers online.
#5523: Where Does the Coding Agent Actually Live?
The agent process is moving off your laptop. Local appliance, SaaS workspace, or your own VPS — three answers, no consensus.
#5285: Two Queues, One Cron Tick: Serverless Batch Pipelines
What does a queue look like when your process is disposable? Two queues, one cron tick, and a 50% batch discount.
#5018: Where Should Coding Agents Actually Live?
Exploring whether coding agents should run locally or fully in the cloud — and what changes when they move.
#5000: Can You Trust Google Photos With Your Life's Work?
Why your Google Photos library isn't really backed up — and what actually works instead.
#4993: Cross-Cloud Failover: Can You Actually Survive an AWS Outage?
Real teams are running cross-cloud failover drills — and the first attempt usually fails. Here's what they learned.
#4902: Backward Batching: Fixing Slow Uploads Without Blocking Users
How one developer used background threads and deferred AI processing to fix a cataloguing workflow.