"This is what it looks like when agentic AI gets access to real production data.
LLMs are now helping build real software-but without production context, they write code that often doesn’t work in the real world.
They can’t see broken flows, performance bottlenecks, or cascading failures from external dependencies-the real reasons systems go down.
Hud’s runtime code sensor changes that. It runs with your service and automatically captures function-level behavior-no configuration, instrumentation, added logs, dashboards, or maintenance needed.
With Hud’s MCP, that production context becomes available to AI environments like Cursor, Windsurf and Github CoPilot-The result? Code that’s grounded in how your system actually behaves in production."
We actually pay for georeplication on Azure. Here's the official response from them:
"Why didn’t we just fail over?
We do have geo-replication for Windows Azure Blobs and Tables, where the data from US South is geo-replicated to keep another replica set of the data in US North. We have chosen at this time not to failover, since we believe we can bring back the primary storage stamp in US South in place. One of the advantages of recovering in place is it avoids losing the Windows Azure Queue data in that stamp, since Windows Azure Queues is not being geo-replicated at this time (we are working towards turning that on)."
I'm trying to say we were not visually prepared for this, and that getting designers and coders to work on a weekend is not something fun. I see your sarcasm and get it, but really it's out of place.
That's not scapegoating, it's pointing at facts. Sad as they are. When you have a complex web service, you rely on a provider. That provider can go down sometimes, and it takes you with it. Again I'll point to Netflix and AWS, they waited until AWS were back up, they didn't "restore a backup" somewhere else.
It's the entire service, not a bunch of files. When Netflix went down due to AWS outage, could you image them just "restoring a backup" on rackspace and running just like that?
Just to clarify, the vast majority of our audience currently arrives through sites like LifeHacker, MakeUseOf and HowToGeek. "Bloatware" is uncalled for in this case, it usually refers to shit that's trying to make money of you without providing value. Please read my full comment that includes our bias analysis: http://news.ycombinator.com/item?id=4793863