drchaim

It's not clear to me whether this is being done with genuinely good intentions, or if it's just a way to put barriers in front of open-source models. We'll see.

i highly doubt you can make it faster than clickhouse, but happy to see it.

This is not my case. Today Claude code coded three features in my client saas just perfectly. Medium complex ones but perfectly from the plan, tests, linter and pr. A good CLAUDE.md is enough. Skills for auxiliary tools like sentry, grafana…

too slow or broker right now

WHEN do you move to Redis/Memcached? None of my projects have exceeded 1000 rps at peak, and in none of them have I felt the need to move from unlogged PostgreSQL tables to Redis.

Just trying to get a sense of where people draw the line.

Brandur of course knows more than me, and his framing sounds correct. I would be worried about whether the TAM of Go + Postgres is enough for business sustainability, but that says probably more about my fears than the reality in this huge market called “internet”

I understand CORS each time I need to fix or to avoid them ;)

This will happen with social accounts, news articles..I set the date pre 2023, but we all have some date in mind. I don’t like it, but it’s what it is

Having VMware in 2026 is a sign of low tech.

Actually, there was no search, only on-the-fly aggregations/filtering over "big data". ES was kind of famous at the time, although not the best tool for that job.

afaik CH introduced FTS rececently.

I discovered ClickHouse around 2017-18 and built a PoC to replace Elasticsearch: 5x better storage and qps, in a couple of weeks.

Managers rejected it because it wasn't well known and was seen as "some database made by Russians."

On a personal level, it's quite sad to have seen that train coming so early and not been able to get on board.

No benchmarks, no pricing, no examples..

really want to try local models, but I don't have the hardware yet. Probably I'm the only one here still using a Mac Mini m1 8gb 2020. :/

I've tested the migration of the main table (IoT data), from 300GB to about 25GB in a non-production environment. Everything seems right, but I'm still delaying/procrastinating the prod migration, so I wanted to know how it is going for other live projects.

I'm not into k8s things, but thanks. Still run this project with Postgres in the same machine as the app. No issues so far after 8 years. :)

Is anyone running self hosted timescale? How is it going? I have a use case for it, but don’t know why I’m a bit afraid of using it.

I go further, how do you work in UI/frontend tasks? As a backend I know how to control agents in backend code, but in FE I am almost lost. Any hint isn’t appreciated

Be careful of storing production ssh keys in your laptop, it will find a way to find them :/

Not the case for me. I tried .envs, ansible-vault and sops, and it always ends up reading the unencrypted ones for some reason, usually in debugging sessions, it finds a way to read them.

i would say my first Pi was about 50$, crazy times

and all their keys, because sooner or later, the harness is gonna read them

I just create a MVP chatbot for a client that has a Django app. I took the route to no frameworks. Claude/codex wrote the agent loop, the tools, the streaming..it’s working well for the MVP, we’ll see

Good stuff, although I’m not quite sure about the fast OLAP use case.

If you’re already sharding by tenant for other reasons, OK… But I see CDC to a true OLAP system as more scalable.

PostgreSQL still needs real columnar tables in the core, hopefully one day

I wish more people take this approach, specially public services.

- a personal and private webpage for: health: garmin metrics, apple health metrics, blood tests, rx.. - a kind of readitlater and bookmark index - personal finance: wip - in my homelab only available within tailscale.

The final idea is to own all my data, but I’m still on it.

Pretty happy so far

But this is almost what we have been doing for the last 3/5 months, isn’t?

I just checked,I have AdGuard for the whole network. On the TV, 80% of requests are blocked; across the entire network, around 50%. crazy.

Actually seems like a good idea. It's like when I use a 2012 laptop. I can't last more than 30 minutes on it. Probably a LAN proxy that throttles the network for some devices...

i just want to use anthropic models under subscription with other agents!

Oh, my beloved Python, for nearly 15 years I wrote you. I miss you, but I no longer do — it's not your fault, life has changed.