27 karma · joined June 1, 2019
I am not sure if I need to write better CLAUDE.md (main context) or better agent file .claude/agents/chrome-tester.md for this case.
I get what you were trying to say but AI does have memory, fixed memory files that we can modify and we may also write creative prompts for dynamic memory for e.g. while troubleshooting keep adding learnings to learning.md file so that you know what all was tried. It also have in-built memory in the sense that it has a lot of built in knowledge. Okay, I admit to be incorrect on purely technical point of view but in just simpler terms.
Trying to use Gemini cli is such a pain. I bought GDP Premium and configured GCP, setup environment variables, enabled preview features in cli and did all the dance around it and it won't let me use gemini 3. Why the hell I am even trying so hard?
What kind of redundancy does Object Storage offer? How resilient is the product to failures?
"Each uploaded data object is divided into chunks, which are distributed across multiple servers within the cluster. Using erasure coding, the system can ensure data integrity even if up to three storage servers fail.
As always, each of our products can only be one part of a secure backup strategy."
What location is data stored in?
"The entire data of a Bucket is stored in the location you selected. In that location, the data is stored in a single data center. The power and network infrastructure is designed with built-in redundancy for high availability."
So it is single data center and they don't specifically claim durability percentage.
I do not know if this is a hard limit or if some kind of burst is available for spikes. Constant limit per bucket without considering bucket size makes no sense. At least charge for operations as well.
Maybe they just can't scale quickly enough or maybe they consider object storage just for backup/archiving purposes.
Maybe xx operations/s per TB of storage would have been better since that way large buckets would be able to scale.
12.20 billion UPI transactions in a month (January 2024).
(a) They think they will get better performance/latency (although in our application it does not matter much) (b) For various compliance
We had been using co-location so far for US but we don't want to continue this road because of high investment (especially when compared with Hetzner) and higher responsibilities (hardware issues, inventory).
Can we use Prometheus/Mimir as general purpose time series database? Prometheus is built for monitoring purposes and may not be for general purpose time series databases like InfluxDB (I am hoping to be wrong). What are the disadvantages/limitations for using Prometheus/Mimir as general purpose time series database?
They seem to be doing a better job.