When I said forget, I meant that it does not follow instructions in .claude/agents/chrome-tester.md and rather starts working on stuff that was going on in main context.
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.
I have used OpenRouter before but in this case I was trying to use it like Claude Code (agentic coding with a simple fixed monthly subscription). I don't want to pay per use via direct APIs as I am afraid it might have surprising bills. My point was, why Google makes it so damn hard even for paid subscriptions where it was supposed to work.
Only if I could figure out how to use it. I have been using Claude Code and enjoy it. I sometimes also try Codex which is also not bad.
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?
We had been colocating servers from decades but there is too much "YOU", compared to that we find Hetzner doing a lot for us (hardware inventory, replacement, remote hands, networking etc). We are slowly moving away from colocating to renting at Hetzner. It is so much better.
Same here. Hetzner found no issues with hardware in diagnostics, they insisted it is related to OS/Software side but on my request they changed hardware which fixed issue.
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.
We use a cache too but we still will hit this limit because our cache is not very large compared with bucket size and as you said, we need to make HEAD requests.
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.
In India, credit cards and even debit cards (which have much lower transaction fee) were never a hit. UPI changed everything, it is easy, convenient and has zero cost for either party.
12.20 billion UPI transactions in a month (January 2024).
They will have to increase transparency (rankings algo, pricing etc), allow data portability for users (and hotels), and avoiding self-preferencing of its services over competitors and face stricter regulatory oversight from EU.
We are an SaaS provider and customers demand to be hosted in US for various reasons
(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).
This is about Prometheus but Mimir makes it interesting. I can't find any other open source time series database except Mimir/Cortex which allows this much scale (clustering options in their open source version). Our use case will have high cardinality and Mimir seems to fit very well.
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?
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.